This page has only limited features, please log in for full access.
Successful project completion is a challenging phenomenon for project managers. Various factors play an indispensable role in the success of a project. The objective of this study is to examine the role of project managers’ personalities in project success with the moderating role of external environmental factors i.e., political, economic, social. The study includes 145 project managers from 36 large-scale construction projects, from both the public and private sectors. The big five personality model was used to evaluate the personality traits of project managers and triple constraint criteria (cost, time, and quality) was used to gauge project success. Data has been collected through a well-structured questionnaire. The analysis of data indicated that personality traits like extraversion and openness are positive predictors of project success, whereas conscientiousness, agreeableness, and neuroticism did not have any direct relationship with project success. Importantly, the findings of this study concluded that external environmental factors—like political, economic, and social—moderately influence the link of specific project managers’ personality traits to project success. The role of external environmental factors as moderators has been discussed. The findings indicate the essential personality traits, as well as the role of external factors for achieving project success. The research contributions have relevance to both theory and practice and provide a deeper insight that is useful for individuals, organizations, researchers, practitioners, and decision-makers.
Amjad Hussain; Mohsin Jamil; Muhammad Umar Farooq; Muhammad Asim; Muhammad Zeeshan Rafique; Catalin I. Pruncu. Project Managers’ Personality and Project Success: Moderating Role of External Environmental Factors. Sustainability 2021, 13, 9477 .
AMA StyleAmjad Hussain, Mohsin Jamil, Muhammad Umar Farooq, Muhammad Asim, Muhammad Zeeshan Rafique, Catalin I. Pruncu. Project Managers’ Personality and Project Success: Moderating Role of External Environmental Factors. Sustainability. 2021; 13 (16):9477.
Chicago/Turabian StyleAmjad Hussain; Mohsin Jamil; Muhammad Umar Farooq; Muhammad Asim; Muhammad Zeeshan Rafique; Catalin I. Pruncu. 2021. "Project Managers’ Personality and Project Success: Moderating Role of External Environmental Factors." Sustainability 13, no. 16: 9477.
The present work investigates the deposition of carbon nanotubes (CNT) over the HSS tool. Also, it assesses the machining capacity of the coated tool with respect to some of most important aspects of the machinability, such as surface roughness, cutting tool-tip temperature, cutting forces, tool wear, and service life. The Plasma Enhanced Chemical Vapour Deposition (PECVD) technique was used to deposit CNTs over the substrate. To recognize the dense deposition of CNTs, microstructural analysis was carried out through Scanning Electron Microscopy (SEM) and Raman spectroscopy. Further, a scratch test was embedded to validate the bonding strength of the covered layer substrate. Machining experiments were performed using CNT and Diamond-Like Carbon (DLC) coated tools. The analysis of experimental outcomes for three different cutting environments shows that the CNT coated tool represent a viable candidate for machining of harder materials. We have observed a dramatic reduction of the cutting tool tip temperature and cutting forces due to the excellent mechanical and thermal properties of CNTs. Indeed, the CNT coated tools prove their suitability when compared with the DLC coated tools. The analysis of tool wear demonstrated a much lower wear condition for CNTs tools when comparing to DLC coating one. This was translated in longer tool life for the CNT coated tool, which was about 28 min longer with only marginal failure under high cutting conditions when comparing to DLC one.
Venkatesh Chenrayan; Chandru Manivannan; Selladurai Velappan; Kiran Shahapurkar; Manzoore Elahi M. Soudagar; T. M. Yunus Khan; Ashraf Elfasakhany; Ravinder Kumar; Catalin I. Pruncu. Experimental assessment on machinability performance of CNT and DLC coated HSS tools for hard turning. Diamond and Related Materials 2021, 119, 108568 .
AMA StyleVenkatesh Chenrayan, Chandru Manivannan, Selladurai Velappan, Kiran Shahapurkar, Manzoore Elahi M. Soudagar, T. M. Yunus Khan, Ashraf Elfasakhany, Ravinder Kumar, Catalin I. Pruncu. Experimental assessment on machinability performance of CNT and DLC coated HSS tools for hard turning. Diamond and Related Materials. 2021; 119 ():108568.
Chicago/Turabian StyleVenkatesh Chenrayan; Chandru Manivannan; Selladurai Velappan; Kiran Shahapurkar; Manzoore Elahi M. Soudagar; T. M. Yunus Khan; Ashraf Elfasakhany; Ravinder Kumar; Catalin I. Pruncu. 2021. "Experimental assessment on machinability performance of CNT and DLC coated HSS tools for hard turning." Diamond and Related Materials 119, no. : 108568.
The requirement of cost-effective and ecological production systems is crucial in the competitive market. In this regard, the focus is shifted towards sustainable and cleaner machining processes. Besides the clean technologies, effective parametric control is required for machining materials (such as High Strength Low Alloy Steels) specifically designed for high strength applications having superior physio-chemical properties. Therefore, the machinability complexities require optimized solutions to reduce temperature elevation and tooling costs and improve machining of these materials. Complying to the market needs, this research examines the effectiveness of nanofluid on tool life, wear mechanisms, surface roughness (Ra), surface morphology, and material removal rate (MRR) in turning of 30CrMnSiA (HSLA) using minimum quantity lubrication (MQL) and SiO2-H2O nanofluids (NF-MQL). A systematic investigation based on physical phenomena involved is carried out considering four process parameters (cutting speed (VC), feed rate (Fr), depth of cut (DOC), and mode of lubrication for machining. Fr is found as the vital parameter for surface roughness while MRR is highly influenced by DOC regardless of lubrication approach. One-step sustainability technique is applied, in which process variables used for roughing conditions are analogous to attain surface comparable to finished machining without compromising process efficiency and demonstrate its feasibility through optimal settings under NF-MQL. Multi-response optimization proved the NF-MQL machining condition as the best alternative which result in 28.34% and 5.09% improvements for surface roughness and MRR, respectively. Moreover, the use of SiO2 is recommended over MQL due to lower energy consumption, low tool wear, and better surface integrity, sustainable liquid, and related costs.
Hassan Javid; Mirza Jahanzaib; Muhammad Jawad; Muhammad Asad Ali; Muhammad Umar Farooq; Catalin I. Pruncu; Salman Hussain. Parametric analysis of turning HSLA steel under minimum quantity lubrication (MQL) and nanofluids-based minimum quantity lubrication (NF-MQL): a concept of one-step sustainable machining. The International Journal of Advanced Manufacturing Technology 2021, 1 -20.
AMA StyleHassan Javid, Mirza Jahanzaib, Muhammad Jawad, Muhammad Asad Ali, Muhammad Umar Farooq, Catalin I. Pruncu, Salman Hussain. Parametric analysis of turning HSLA steel under minimum quantity lubrication (MQL) and nanofluids-based minimum quantity lubrication (NF-MQL): a concept of one-step sustainable machining. The International Journal of Advanced Manufacturing Technology. 2021; ():1-20.
Chicago/Turabian StyleHassan Javid; Mirza Jahanzaib; Muhammad Jawad; Muhammad Asad Ali; Muhammad Umar Farooq; Catalin I. Pruncu; Salman Hussain. 2021. "Parametric analysis of turning HSLA steel under minimum quantity lubrication (MQL) and nanofluids-based minimum quantity lubrication (NF-MQL): a concept of one-step sustainable machining." The International Journal of Advanced Manufacturing Technology , no. : 1-20.
Early diagnosis of pandemic diseases such as COVID-19 can prove beneficial in dealing with difficult situations and helping radiologists and other experts manage staffing more effectively. The application of deep learning techniques for genetics, microscopy, and drug discovery has created a global impact. It can enhance and speed up the process of medical research and development of vaccines, which is required for pandemics such as COVID-19. However, current drugs such as remdesivir and clinical trials of other chemical compounds have not shown many impressive results. Therefore, it can take more time to provide effective treatment or drugs. In this paper, a deep learning approach based on logistic regression, SVM, Random Forest, and QSAR modeling is suggested. QSAR modeling is done to find the drug targets with protein interaction along with the calculation of binding affinities. Then deep learning models were used for training the molecular descriptor dataset for the robust discovery of drugs and feature extraction for combating COVID-19. Results have shown more significant binding affinities (greater than −18) for many molecules that can be used to block the multiplication of SARS-CoV-2, responsible for COVID-19.
Nishant Jha; Deepak Prashar; Mamoon Rashid; Mohammad Shafiq; Razaullah Khan; Catalin I. Pruncu; Shams Tabrez Siddiqui; M. Saravana Kumar. Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19. Journal of Healthcare Engineering 2021, 2021, 1 -13.
AMA StyleNishant Jha, Deepak Prashar, Mamoon Rashid, Mohammad Shafiq, Razaullah Khan, Catalin I. Pruncu, Shams Tabrez Siddiqui, M. Saravana Kumar. Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19. Journal of Healthcare Engineering. 2021; 2021 ():1-13.
Chicago/Turabian StyleNishant Jha; Deepak Prashar; Mamoon Rashid; Mohammad Shafiq; Razaullah Khan; Catalin I. Pruncu; Shams Tabrez Siddiqui; M. Saravana Kumar. 2021. "Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19." Journal of Healthcare Engineering 2021, no. : 1-13.
Aluminum hybrid composites have the potential to satisfy emerging demands of lightweight materials with enhanced mechanical properties and lower manufacturing costs. There is an inclusion of reinforcing materials with variable concentrations for the preparation of hybrid metal matrix composites to attain customized properties. Hence, it is obligatory to investigate the impact of different machining conditions for the selection of optimum parameter settings for aluminum-based hybrid metal matrix composite material. The present study aims to identify the optimum machining parameters during wire electrical discharge machining of samples prepared with graphite, ferrous oxide, and silicon carbide. In the present research work, five different process parameters and three response parameters such as material removal rate, surface roughness, and spark Gap are considered for process optimization. Energy-dispersive spectroscopy and scanning electron microscopy analysis reported the manifestation of the recast layer. Analytical hierarchy process and genetic algorithm have been successfully implemented to identify the best machining conditions for hybrid composites.
Amresh Kumar; Neelkanth Grover; Alakesh Manna; Raman Kumar; Jasgurpreet Singh Chohan; Sandeep Singh; Sunpreet Singh; Catalin Iulian Pruncu. Multi-Objective Optimization of WEDM of Aluminum Hybrid Composites Using AHP and Genetic Algorithm. Arabian Journal for Science and Engineering 2021, 1 -13.
AMA StyleAmresh Kumar, Neelkanth Grover, Alakesh Manna, Raman Kumar, Jasgurpreet Singh Chohan, Sandeep Singh, Sunpreet Singh, Catalin Iulian Pruncu. Multi-Objective Optimization of WEDM of Aluminum Hybrid Composites Using AHP and Genetic Algorithm. Arabian Journal for Science and Engineering. 2021; ():1-13.
Chicago/Turabian StyleAmresh Kumar; Neelkanth Grover; Alakesh Manna; Raman Kumar; Jasgurpreet Singh Chohan; Sandeep Singh; Sunpreet Singh; Catalin Iulian Pruncu. 2021. "Multi-Objective Optimization of WEDM of Aluminum Hybrid Composites Using AHP and Genetic Algorithm." Arabian Journal for Science and Engineering , no. : 1-13.
Fiber metal laminates (FML) are promising material candidates in several applications such as aerospace, marine, and construction industries due to their high strength, impact resistance, corrosion resistance, and fatigue properties. However, these materials have a negative impact on the environment due to their higher carbon footprint. This problem could be overcome by hybridizing carbon material with natural biodegradable materials. It is assumed that the higher moisture absorption and lower thermal properties of such materials may affect the long-term stability of the FML. Hence, an attempt is made in this work to evaluate their stability potential by investigating the influence of the addition of natural jute fiber in carbon reinforced aluminum laminate (CARALL) on FML and report their physical effect of stacking sequence on dynamic, mechanical, and thermal properties. In addition, the medium-term absorption kinetics of jute fiber hybridized CARALL, that is, carbon-jute reinforced aluminum laminate (CAJRALL) were performed. The results show that the tensile load bearing capacity of all the immersed laminates decreases at the end of 2 weeks of immersion. Further, CAJRALL was found to possess moderate thermal stability by yielding fewer thermal residues on burning. Finally, the outcome of dynamic mechanical analysis of the hybridized FML reveals that they are capable of storing relatively higher elastic and viscous energies under dynamic conditions with increased damping capability when compared to CARALL. From this study, it is worth to point out that hybridization of CARALL with jute fiber plays a pivotal role in improving environmental friendliness with a lower impact on the overall material properties.
Saravana Kumar M; Vasumathi M; Rashia Begum S; Harikrishnan Pulikkalparambil; Suchart Siengchin; Catalin I. Pruncu. Medium‐term absorption kinetics and thermal stability analysis of hybrid fiber metal laminate and experimental investigations on its physical and tensile properties. Polymer Composites 2021, 42, 4155 -4165.
AMA StyleSaravana Kumar M, Vasumathi M, Rashia Begum S, Harikrishnan Pulikkalparambil, Suchart Siengchin, Catalin I. Pruncu. Medium‐term absorption kinetics and thermal stability analysis of hybrid fiber metal laminate and experimental investigations on its physical and tensile properties. Polymer Composites. 2021; 42 (8):4155-4165.
Chicago/Turabian StyleSaravana Kumar M; Vasumathi M; Rashia Begum S; Harikrishnan Pulikkalparambil; Suchart Siengchin; Catalin I. Pruncu. 2021. "Medium‐term absorption kinetics and thermal stability analysis of hybrid fiber metal laminate and experimental investigations on its physical and tensile properties." Polymer Composites 42, no. 8: 4155-4165.
This study aims to improve the mechanical properties of a Ti–2Fe base alloy by adding W solute and performing hot extrusion at a high temperature (1000 °C). W was added at 0, 1, 2, and 3 wt% using the powder metallurgy route and homogenization heat treatment. The as-extruded materials predominantly consisted of α phase with different microstructure morphologies; Ti–2Fe and Ti–2Fe–1W contained equiaxed α grains, while Ti–2Fe–2W and Ti–2Fe–3W showed equiaxed+acicular and acicular shape, respectively. Effective grain refinement was obtained in Ti–2Fe–2W (average grain size: ∼1.64 μm), which greatly contributed to the strengthening. The solid solution of W was studied with X-ray powder diffraction, where a proportional increment of β lattice constant occurred as the W solute increased in the matrix (Ti–Fe). Additionally, electron backscatter diffraction analysis revealed that the W solution reduced the intensity of the prismatic texture along the extrusion direction. Based on the experimental evaluations, extruded Ti–2Fe–2W alloy exhibited a maximum yield strength of 925 MPa with excellent elongation 30% at room temperature, indicating a remarkable trade-off in strength and ductility.
Abdollah Bahador; Ammarueda Issariyapat; Junko Umeda; Ridvan Yamanoglu; Catalin Pruncu; Astuty Amrin; Katsuyoshi Kondoh. Strength–ductility balance of powder metallurgy Ti–2Fe–2W alloy extruded at high-temperature. Journal of Materials Research and Technology 2021, 14, 677 -691.
AMA StyleAbdollah Bahador, Ammarueda Issariyapat, Junko Umeda, Ridvan Yamanoglu, Catalin Pruncu, Astuty Amrin, Katsuyoshi Kondoh. Strength–ductility balance of powder metallurgy Ti–2Fe–2W alloy extruded at high-temperature. Journal of Materials Research and Technology. 2021; 14 ():677-691.
Chicago/Turabian StyleAbdollah Bahador; Ammarueda Issariyapat; Junko Umeda; Ridvan Yamanoglu; Catalin Pruncu; Astuty Amrin; Katsuyoshi Kondoh. 2021. "Strength–ductility balance of powder metallurgy Ti–2Fe–2W alloy extruded at high-temperature." Journal of Materials Research and Technology 14, no. : 677-691.
Clean technological machining operations can improve traditional methods’ environmental, economic, and technical viability, resulting in sustainability, compatibility, and human-centered machining. This, this work focuses on sustainable machining of Al-Mg-Zr alloy with minimum quantity lubricant (MQL)-assisted machining using a polycrystalline diamond (PCD) tool. The effect of various process parameters on the surface roughness and cutting temperature were analyzed. The Taguchi L25 orthogonal array-based experimental design has been utilized. Experiments have been carried out in the MQL environment, and pressure was maintained at 8 bar. The multiple responses were optimized using desirability function analysis (DFA). Analysis of variance (ANOVA) shows that cutting speed and depth of cut are the most prominent factors for surface roughness and cutting temperature. Therefore, the DFA suggested that, to attain reasonable response values, a lower to moderate value of depth of cut, cutting speed and feed rate are appreciable. An artificial neural network (ANN) model with four different learning algorithms was used to predict the surface roughness and temperature. Apart from this, to address the sustainability aspect, life cycle assessment (LCA) of MQL-assisted and dry machining has been carried out. Energy consumption, CO2 emissions, and processing time have been determined for MQL-assisted and dry machining. The results showed that MQL-machining required a very nominal amount of cutting fluid, which produced a smaller carbon footprint. Moreover, very little energy consumption is required in MQL-machining to achieve high material removal and very low tool change.
Rezaul Karim; Juairiya Tariq; Shah Morshed; Sabbir Shawon; Abir Hasan; Chander Prakash; Sunpreet Singh; Raman Kumar; Yadaiah Nirsanametla; Catalin Pruncu. Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool. Sustainability 2021, 13, 7321 .
AMA StyleRezaul Karim, Juairiya Tariq, Shah Morshed, Sabbir Shawon, Abir Hasan, Chander Prakash, Sunpreet Singh, Raman Kumar, Yadaiah Nirsanametla, Catalin Pruncu. Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool. Sustainability. 2021; 13 (13):7321.
Chicago/Turabian StyleRezaul Karim; Juairiya Tariq; Shah Morshed; Sabbir Shawon; Abir Hasan; Chander Prakash; Sunpreet Singh; Raman Kumar; Yadaiah Nirsanametla; Catalin Pruncu. 2021. "Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool." Sustainability 13, no. 13: 7321.
Thermoplastic composite materials are emerging rapidly due to the flexibility of attaining customized mechanical and melt flow properties. Due to high ductility, toughness, recyclability, and thermal and electrical conductivity, there is ample scope of using copper particles in thermoplastics for 3d printing applications. In the present study, an attempt was made to investigate the Melt Flow Index (MFI), tensile strength, and electrical and thermal conductivity of nylon 6 and ABS (acrylonitrile butadiene styrene) thermoplastics reinforced with copper particles. Thus, the experiments were conducted by adding different-sized copper particles (100 mesh, 200 mesh, and 400 mesh) in variable compositions (0% to 10%) to ABS and nylon 6 matrix. The impact of single, double, and triple particle-sized copper particles on MFI was experimentally investigated followed by FTIR and SEM analysis. Also, the tensile, electrical, and thermal conductivity testing were done on filament made by different compositions. In general, higher fluidity and mechanical strength were obtained while using smaller particles even with higher concentrations (up to 8%) due to improved bonding strength and adhesion between the molecular chains. Moreover, thermal and electrical conductivity was improved with an increase in concentration of copper particles.
Balwant Singh; Raman Kumar; Jasgurpreet Chohan; Sunpreet Singh; Catalin Pruncu; Maria Scutaru; Radu Muntean. Investigations on Melt Flow Rate and Tensile Behaviour of Single, Double and Triple-Sized Copper Reinforced Thermoplastic Composites. Materials 2021, 14, 3504 .
AMA StyleBalwant Singh, Raman Kumar, Jasgurpreet Chohan, Sunpreet Singh, Catalin Pruncu, Maria Scutaru, Radu Muntean. Investigations on Melt Flow Rate and Tensile Behaviour of Single, Double and Triple-Sized Copper Reinforced Thermoplastic Composites. Materials. 2021; 14 (13):3504.
Chicago/Turabian StyleBalwant Singh; Raman Kumar; Jasgurpreet Chohan; Sunpreet Singh; Catalin Pruncu; Maria Scutaru; Radu Muntean. 2021. "Investigations on Melt Flow Rate and Tensile Behaviour of Single, Double and Triple-Sized Copper Reinforced Thermoplastic Composites." Materials 14, no. 13: 3504.
The well-known fact of metallurgy is that the lifetime of a metal structure depends on the material's corrosion rate. Therefore, applying an appropriate prediction of corrosion process for the manufactured metals or alloys trigger an extended life of the product. At present, the current prediction models for additive manufactured alloys are either complicated or built on a restricted basis towards corrosion depletion. This paper presents a novel approach to estimate the corrosion rate and corrosion potential prediction by considering significant major parameters such as solution time, aging time, aging temperature, and corrosion test time. The Laser Engineered Net Shaping (LENS), which is an additive manufacturing process used in the manufacturing of health care equipment, was investigated in the present research. All the accumulated information used to manufacture the LENS-based Cobalt-Chromium-Molybdenum (CoCrMo) alloy was considered from previous literature. They enabled to create a robust Bayesian Regularization (BR)-based Artificial Neural Network (ANN) in order to predict with accuracy the material best corrosion properties. The achieved data were validated by investigating its experimental behavior. It was found a very good agreement between the predicted values generated with the BRANN model and experimental values. The robustness of the proposed approach allows to implement the manufactured materials successfully in the biomedical implants.
Nagoor Basha Shaik; Kedar Mallik Mantrala; Balaji Bakthavatchalam; Qandeel Fatima Gillani; M. Faisal Rehman; Ajit Behera; Dipen Kumar Rajak; Catalin I. Pruncu. Corrosion Behavior of LENS Deposited CoCrMo Alloy Using Bayesian Regularization-Based Artificial Neural Network (BRANN). Journal of Bio- and Tribo-Corrosion 2021, 7, 1 -13.
AMA StyleNagoor Basha Shaik, Kedar Mallik Mantrala, Balaji Bakthavatchalam, Qandeel Fatima Gillani, M. Faisal Rehman, Ajit Behera, Dipen Kumar Rajak, Catalin I. Pruncu. Corrosion Behavior of LENS Deposited CoCrMo Alloy Using Bayesian Regularization-Based Artificial Neural Network (BRANN). Journal of Bio- and Tribo-Corrosion. 2021; 7 (3):1-13.
Chicago/Turabian StyleNagoor Basha Shaik; Kedar Mallik Mantrala; Balaji Bakthavatchalam; Qandeel Fatima Gillani; M. Faisal Rehman; Ajit Behera; Dipen Kumar Rajak; Catalin I. Pruncu. 2021. "Corrosion Behavior of LENS Deposited CoCrMo Alloy Using Bayesian Regularization-Based Artificial Neural Network (BRANN)." Journal of Bio- and Tribo-Corrosion 7, no. 3: 1-13.
In this study, three SBCs are developed as (i) SBC with phase change material (PCM: waste cooking oil and C4H4O3), (ii) a novel SBC with nanocomposite PCM (NPCM), and (iii) a SBC without NPCM. The novel proposed cooker integrated with NPCM (MgAl2O4/Ni/Fe2O3-PCM) was experimentally developed and its performance was evaluated using fuzzy logic and Cramer's rules, and image processing techniques. The results indicated that the implementation of a bar plate absorber coated with MgAl2O4/Ni-doped, Fe2O3 nanoparticles, and integrated with PCM increases the cooker's internal temperature up to 164.12 °C. The used nanocomposite materials were in the average particle size of 20 μm. The cooking materials were verified with the temperature in the segmentation process. The NPCM indicated the SBC's thermal performance enhancement of 11% in comparison with the SBC with PCM and without NPCM. Additionally, the overall thermal performance of SBCs without NPCM, with PCM, and with NPCM was obtained as 24.90–33.90%, 24.77–45.20%, and 31.77–56.21%, respectively. Moreover, the temperature of the bar plate absorber was achieved as 163.74 °C, 147 °C, and 113.34 °C for the SBC with NPCM, PCM, and without NPCM, respectively, under the solar radiation of 1,037 W/m2.
G. Palanikumar; S. Shanmugan; V. Chithambaram; Shiva Gorjian; Catalin I. Pruncu; F.A. Essa; A.E. Kabeel; Hitesh Panchal; B. Janarthanan; Hossein Ebadi; Ammar H. Elsheikh; Periyasami Selvaraju. Thermal Investigation of a Solar Box-type Cooker with Nanocomposite Phase Change Materials Using Flexible Thermography. Renewable Energy 2021, 178, 260 -282.
AMA StyleG. Palanikumar, S. Shanmugan, V. Chithambaram, Shiva Gorjian, Catalin I. Pruncu, F.A. Essa, A.E. Kabeel, Hitesh Panchal, B. Janarthanan, Hossein Ebadi, Ammar H. Elsheikh, Periyasami Selvaraju. Thermal Investigation of a Solar Box-type Cooker with Nanocomposite Phase Change Materials Using Flexible Thermography. Renewable Energy. 2021; 178 ():260-282.
Chicago/Turabian StyleG. Palanikumar; S. Shanmugan; V. Chithambaram; Shiva Gorjian; Catalin I. Pruncu; F.A. Essa; A.E. Kabeel; Hitesh Panchal; B. Janarthanan; Hossein Ebadi; Ammar H. Elsheikh; Periyasami Selvaraju. 2021. "Thermal Investigation of a Solar Box-type Cooker with Nanocomposite Phase Change Materials Using Flexible Thermography." Renewable Energy 178, no. : 260-282.
In this paper, the study concentrates on the flexural and tensile characteristics of the cobalt filler and fiber-reinforced epoxy composites used in the car body parts. Glass fiber (GF) and carbon fiber (CF) filled with the epoxy compound were prepared by hand lay-up varying the percentage of weight (wt.%) of cobalt from (0.4 to 1.0 wt.%). GF tensile and flexural strength were available at approximately 96.9 MPa and 120 MPa, respectively, while tensile and flexural strength of the reinforced CF was combined found in 194.82 MPa and 393.34 MPa. A 55.64% increase in flexural and tensile strength of the specimen was obtained compared to pure epoxy which represents a significant improvement. The use of a 0.6 wt.% Cobalt (Co) filler content for the combination of GF and CF epoxy reinforces positive results in the strength test. In addition, Field Emission Scanning Electron Microscopy (SEM) was done to investigate the microstructural characterization, the performance of GF and CF epoxy reinforced composite.
Dipen Kumar Rajak; Pratiksha H. Wagh; Hassan Moustabchir; Catalin I. Pruncu. Improving the tensile and flexural properties of reinforced epoxy composites by using cobalt filled and carbon/glass fiber. Forces in Mechanics 2021, 4, 100029 .
AMA StyleDipen Kumar Rajak, Pratiksha H. Wagh, Hassan Moustabchir, Catalin I. Pruncu. Improving the tensile and flexural properties of reinforced epoxy composites by using cobalt filled and carbon/glass fiber. Forces in Mechanics. 2021; 4 ():100029.
Chicago/Turabian StyleDipen Kumar Rajak; Pratiksha H. Wagh; Hassan Moustabchir; Catalin I. Pruncu. 2021. "Improving the tensile and flexural properties of reinforced epoxy composites by using cobalt filled and carbon/glass fiber." Forces in Mechanics 4, no. : 100029.
In recent years, the engineering implications of carbon nanotubes (CNTs) have progressed enormously due to their versatile characteristics. In particular, the role of CNTs in improving the tribological performances of various engineering materials is well documented in the literature. In this work, an investigation has been conducted to study the tribological behaviour of CNTs filled with glass-reinforced polymer (GFRP) composites in dry sliding, oil-lubricated, and gaseous (argon) environments in comparison to unfilled GFRP composites. The tribological study has been conducted on hardened steel surfaces at different loading conditions. Further, the worn surfaces have been examined for a particular rate of wear. Field-emission scanning electron (FESEM) microscopy was used to observe wear behaviours. The results of this study explicitly demonstrate that adding CNTs to GFRP composites increases wear resistance while lowering friction coefficient in all sliding environments. This has also been due to the beneficial strengthening and self-lubrication properties caused by CNTs on GFRP composites, according to FESEM research.
Sandeep Agrawal; Nishant Singh; Rajeev Upadhyay; Gurminder Singh; Yashvir Singh; Sunpreet Singh; Catalin Pruncu. Effect of Different Lubricating Environment on the Tribological Performance of CNT Filled Glass Reinforced Polymer Composite. Materials 2021, 14, 2965 .
AMA StyleSandeep Agrawal, Nishant Singh, Rajeev Upadhyay, Gurminder Singh, Yashvir Singh, Sunpreet Singh, Catalin Pruncu. Effect of Different Lubricating Environment on the Tribological Performance of CNT Filled Glass Reinforced Polymer Composite. Materials. 2021; 14 (11):2965.
Chicago/Turabian StyleSandeep Agrawal; Nishant Singh; Rajeev Upadhyay; Gurminder Singh; Yashvir Singh; Sunpreet Singh; Catalin Pruncu. 2021. "Effect of Different Lubricating Environment on the Tribological Performance of CNT Filled Glass Reinforced Polymer Composite." Materials 14, no. 11: 2965.
Current research focuses on optimizing various quality characteristics for kerf geometry generated through laser cutting of Coir fibre/carbon fibre/epoxy resin hybrid composite adjacent to straight cut profile employing pulsed CO2 laser system. The Kerf taper (KT) and the Surface roughness (SR) are the main quality parameters discussed. Dependent on significant process parameters, namely gas pressure, cutting speed, pulse frequency and pulse width predictive models were developed. In accordance with Taguchi's L9 orthogonal array (OA), the cutting trials are designed. Process-parametric optimization was performed using Response Surface Methodology (RSM). Furthermore, experiments were performed to obtain experimental data for the analysis of cut quality features. The impact of the input variables on the response characteristics is also explored. The morphological characterizations have been performed to analysis the effect of machining-variables and cut-quality for the top and bottom kerf widths with various laser cutting variables in the pulse laser-cutting of Coir-fibre/carbon-fibre/epoxy-resin hybrid composite. For SR and KT, the developed second order surface response model was found very successful. The optimal levels of cutting variables for KT are established at Gas pressure-6 N/mm2, pulse width-2.04 ms, cutting speed-8.01 mm/s, pulse frequency-15 Hz, for sample A1, Gas pressure-5.47 N/mm2, pulse width-2.5 ms, cutting speed-8.81 mm/s, pulse frequency-8.43 Hz, for sample A2, Gas pressure-3.85 N/mm2, pulse width-1.5 ms, cutting speed-9.06 mm/s, pulse frequency-5 Hz, for sample A3 additionally for SR Gas pressure-2 N/mm2, pulse width-1.5 ms, cutting speed-7 mm/s, pulse frequency-5 Hz, for sample A1, Gaspressure-2.36 N/mm2, pulse width-1.5 ms, cutting speed-7 mm/s, pulse frequency-15 Hz, for sample A2, Gaspressure-6 N/mm2, pulse width-1.5 ms, cutting speed-11 mm/s, pulse frequency-8.73 Hz, for sample A3. Regression results and linear and square impact of laser cutting variables have been revealed to be important to validate the model.
Yadvinder Singh; Jujhar Singh; Shubham Sharma; Vivek Aggarwal; Catalin I. Pruncu. Multi-objective Optimization of Kerf-taper and Surface-roughness Quality Characteristics for Cutting-operation On Coir and Carbon Fibre Reinforced Epoxy Hybrid Polymeric Composites During CO2-Pulsed Laser-cutting Using RSM. Lasers in Manufacturing and Materials Processing 2021, 8, 157 -182.
AMA StyleYadvinder Singh, Jujhar Singh, Shubham Sharma, Vivek Aggarwal, Catalin I. Pruncu. Multi-objective Optimization of Kerf-taper and Surface-roughness Quality Characteristics for Cutting-operation On Coir and Carbon Fibre Reinforced Epoxy Hybrid Polymeric Composites During CO2-Pulsed Laser-cutting Using RSM. Lasers in Manufacturing and Materials Processing. 2021; 8 (2):157-182.
Chicago/Turabian StyleYadvinder Singh; Jujhar Singh; Shubham Sharma; Vivek Aggarwal; Catalin I. Pruncu. 2021. "Multi-objective Optimization of Kerf-taper and Surface-roughness Quality Characteristics for Cutting-operation On Coir and Carbon Fibre Reinforced Epoxy Hybrid Polymeric Composites During CO2-Pulsed Laser-cutting Using RSM." Lasers in Manufacturing and Materials Processing 8, no. 2: 157-182.
Gas tungsten arc welding (GTAW) is considered a well-established process in the manufacturing industry. Despite, certain challenges associated with high hardness of heat affected zone and cold cracking susceptibility of joints, are the main barriers for this process to be implemented successfully within high integrity structure. By using a combined procedure of experiments and modelling (response surface methodology (RSM) and multi-objective optimization: multi-objective genetic algorithm (MOGA)) allows obtaining good enhancement over uniform heating, cooling and the heat-affected zone which enable major progress in obtaining high quality welded parts. Therefore, this research study combines the experiments and modelling in a systematic manner considering for the first type the pre-heated treatment and without- pre-heating conditions of GTAW manufacturing. It leads to optimizing the process parameters of GTAW when manufacturing AISI 1045 medium carbon steel. The effects of critical parameters i.e. welding current: WC, welding speed: WS, and gas flow rate: GFR on the mechanical properties (ultimate tensile strength (UTS) and hardness) were investigated and evaluated against the microstructure of weld fracture. The multi-objective genetic algorithm corroborated with experimental observation enables to obtain a maximum UTS of approx. 625 MPa and hardness of 80.19 HRB for preheat condition. The results highlight an improvement in UTS of 0.2%–6.7% and a decrease in hardness of 0.1%–21.5% by implementing the preheating condition.
Muhammad Jawad; Mirza Jahanzaib; Muhammad Asad Ali; Muhammad Umar Farooq; Nadeem Ahmad Mufti; Catalin I. Pruncu; Salman Hussain; Ahmad Wasim. Revealing the microstructure and mechanical attributes of pre-heated conditions for gas tungsten arc welded AISI 1045 steel joints. International Journal of Pressure Vessels and Piping 2021, 192, 104440 .
AMA StyleMuhammad Jawad, Mirza Jahanzaib, Muhammad Asad Ali, Muhammad Umar Farooq, Nadeem Ahmad Mufti, Catalin I. Pruncu, Salman Hussain, Ahmad Wasim. Revealing the microstructure and mechanical attributes of pre-heated conditions for gas tungsten arc welded AISI 1045 steel joints. International Journal of Pressure Vessels and Piping. 2021; 192 ():104440.
Chicago/Turabian StyleMuhammad Jawad; Mirza Jahanzaib; Muhammad Asad Ali; Muhammad Umar Farooq; Nadeem Ahmad Mufti; Catalin I. Pruncu; Salman Hussain; Ahmad Wasim. 2021. "Revealing the microstructure and mechanical attributes of pre-heated conditions for gas tungsten arc welded AISI 1045 steel joints." International Journal of Pressure Vessels and Piping 192, no. : 104440.
The aeronautical industry is constantly striving for goals related to lesser production/maintenance time and cost. In this regard, aero-engines made up of Nickel-based alloy are preferred for high performance to improve the burning efficiency. However, the processing of the Nickel-based alloys remain challenging in manufacturing industry with the aim of sustainable production. This research investigated the manufacturing progress of face milling of Inconel 718 by using two different lubrication conditions; minimum quantity lubrication (MQL) and nanofluids based minimum quantity lubrication (NF-MQL). A high degree of sustainability was achieved through increasing productivity (material removal rate) and quality (surface roughness) enhancement while minimizing the power and temperature. The impacts of four most influencing parameters including feed rate, speed, flow rate and depth of cut were investigated on sustainable production performance measures. Empirical models of surface roughness, temperature, material removal rate and power were developed using response surface methodology. Analysis of the developed empirical models and validation were executed through analysis of variance and confirmatory experiments results. Finally, a multi objective optimization was implemented to attain maximum sustainability effect by generating a compromise between lowest surface roughness and cost, and highest material removal rate. The results revealed that the depth of cut is the most significant process parameter for both lubrication environments. The results show the NF-MQL as the better alternative which resulted in 20.1%, 14.7% and 13.3% percentage reduction for surface roughness, temperature and power, respectively. Furthermore, the results revealed that NF-MQL resulted in better desirability achievement (71.3%) as compared to MQL (70.1%).
Muhammad Ahsan Ul Haq; Salman Hussain; Muhammad Asad Ali; Muhammad Umar Farooq; Nadeem Ahmad Mufti; Catalin I. Pruncu; Ahmad Wasim. Evaluating the effects of nano-fluids based MQL milling of IN718 associated to sustainable productions. Journal of Cleaner Production 2021, 310, 127463 .
AMA StyleMuhammad Ahsan Ul Haq, Salman Hussain, Muhammad Asad Ali, Muhammad Umar Farooq, Nadeem Ahmad Mufti, Catalin I. Pruncu, Ahmad Wasim. Evaluating the effects of nano-fluids based MQL milling of IN718 associated to sustainable productions. Journal of Cleaner Production. 2021; 310 ():127463.
Chicago/Turabian StyleMuhammad Ahsan Ul Haq; Salman Hussain; Muhammad Asad Ali; Muhammad Umar Farooq; Nadeem Ahmad Mufti; Catalin I. Pruncu; Ahmad Wasim. 2021. "Evaluating the effects of nano-fluids based MQL milling of IN718 associated to sustainable productions." Journal of Cleaner Production 310, no. : 127463.
This paper’s persistence is to make an inclusive analysis of 268 documents about specific energy consumption (SEC) in machining operations from 2001 to 2020 in the Scopus database. A systematic approach collects information on SEC documents’ primary data; their types, publications, citations, and predictions are presented. The VOSviewer 1.1.16 and Biblioshiny 2.0 software are used for visualization analysis to show the progress standing of SEC publications. The selection criteria of documents are set for citation analysis. The ranks are assigned to the most prolific and dominant authors, sources, articles, countries, and organizations based on the total citations, number of documents, average total citation, and total link strength. The author-keywords, index-keywords, and text data content analysis has been conducted to find the hotspots and progress trend in SEC in machining operations. The most prolific and dominant article, source, author, organization, and country are Anderson et al. “Laser-assisted machining of Inconel 718 with an economic analysis”, the Int J Mach Tools Manuf, Shin Y.C., form Purdue University Singapore, and United States, respectively, based on total citations as per defined criteria. The author keywords “specific cutting energy” and “surface roughness” dominate the machining operations SEC. SEC’s implication in machining operations review and bibliometric analysis is to deliver an inclusive perception for the scholars working in this field. It is the primary paper that utilizes bibliometric research to analyze the SEC in machining operations publications expansively. It is valuable for scholars to grasp the hotspots in this field in time and help the researchers in the SEC exploration arena rapidly comprehend the expansion status and trend.
Raman Kumar; Sehijpal Singh; Ardamanbir Sidhu; Catalin Pruncu. Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response. Sustainability 2021, 13, 5617 .
AMA StyleRaman Kumar, Sehijpal Singh, Ardamanbir Sidhu, Catalin Pruncu. Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response. Sustainability. 2021; 13 (10):5617.
Chicago/Turabian StyleRaman Kumar; Sehijpal Singh; Ardamanbir Sidhu; Catalin Pruncu. 2021. "Bibliometric Analysis of Specific Energy Consumption (SEC) in Machining Operations: A Sustainable Response." Sustainability 13, no. 10: 5617.
Recently, DC53 die steel was introduced to the die and mold industry because of its excellent characteristics i.e., very good machinability and better engineering properties. DC53 demonstrates a strong capability to retain a near-net shape profile of the die, which is a very challenging process with materials. To produce complex and accurate die features, the use of the wire electric discharge machining (WEDM) process takes the lead in the manufacturing industry. However, the challenge is to understand the physical science of the process to improve surface features and service properties. In this study, a detailed yet systematic evaluation of process parameters investigation is made on the influence of a wire feed, pulse on duration, open voltage, and servo voltage on the productivity (material removal rate) and material quality (surface roughness, recast layer thickness, kerf width) against the requirements of mechanical-tooling industry. Based on parametric exploration, wire feed was found the most influential parameter on kerf width: KW (45.64%), pulse on time on surface roughness: SR (84.83%), open voltage on material removal rate: MRR (49.07%) and recast layer thickness: RLT (52.06%). Also, the optimized process parameters resulted in 1.710 µm SR, 10.367 mm3/min MRR, 0.327 mm KW, and 10.443 µm RLT. Moreover, the evolution of surface features and process complexities are thoroughly discussed based on the involved physical science. The recast layer, often considered as a process limitation, was explored with the aim of minimizing the layers’ depth, as well as the recast layer and heat-affected zone. The research provides regression models based on thorough investigation to support machinists for achieving required features.
Sarmad Khan; Mudassar Rehman; Muhammad Farooq; Muhammad Ali; Rakhshanda Naveed; Catalin Pruncu; Waheed Ahmad. A Detailed Machinability Assessment of DC53 Steel for Die and Mold Industry through Wire Electric Discharge Machining. Metals 2021, 11, 816 .
AMA StyleSarmad Khan, Mudassar Rehman, Muhammad Farooq, Muhammad Ali, Rakhshanda Naveed, Catalin Pruncu, Waheed Ahmad. A Detailed Machinability Assessment of DC53 Steel for Die and Mold Industry through Wire Electric Discharge Machining. Metals. 2021; 11 (5):816.
Chicago/Turabian StyleSarmad Khan; Mudassar Rehman; Muhammad Farooq; Muhammad Ali; Rakhshanda Naveed; Catalin Pruncu; Waheed Ahmad. 2021. "A Detailed Machinability Assessment of DC53 Steel for Die and Mold Industry through Wire Electric Discharge Machining." Metals 11, no. 5: 816.
Many microslits are typically manufactured on quartz substrates and are used to improve their industrial performance. The fabrication of microslits on quartz is difficult and expensive to achieve using recent traditional machining processes due to its hardness, electrically insulating nature, and brittleness. The key objective of the current study was to demonstrate the fabrication of microslits on quartz material through a magnetohydrodynamics (MHD)-assisted traveling wire-electrochemical discharge micromachining process. Hydrogen gas bubbles were concentrated around the entire wire surface during electrolysis. This led to a less active dynamic region of the wire electrode, which decreased the adequacy of the electrolysis process and the machining effectiveness. The test results affirmed that the MHD convection approach evacuated the gas bubbles more rapidly and improved the void fraction in the gas bubble scattering layer. Furthermore, the improvements in the material removal rate and length of the cut were 85.28% and 48.86%, respectively, and the surface roughness was reduced by 30.39% using the MHD approach. A crossover methodology with a Taguchi design and ANOVA was utilized to study the machining performance. This exploratory investigation gives an unused strategy that shows a few advantages over the traditional TW-ECDM process.
Ankit Oza; Abhishek Kumar; Vishvesh Badheka; Amit Arora; Manoj Kumar; Catalin Pruncu; Tej Singh. Improvement of the Machining Performance of the TW-ECDM Process Using Magnetohydrodynamics (MHD) on Quartz Material. Materials 2021, 14, 2377 .
AMA StyleAnkit Oza, Abhishek Kumar, Vishvesh Badheka, Amit Arora, Manoj Kumar, Catalin Pruncu, Tej Singh. Improvement of the Machining Performance of the TW-ECDM Process Using Magnetohydrodynamics (MHD) on Quartz Material. Materials. 2021; 14 (9):2377.
Chicago/Turabian StyleAnkit Oza; Abhishek Kumar; Vishvesh Badheka; Amit Arora; Manoj Kumar; Catalin Pruncu; Tej Singh. 2021. "Improvement of the Machining Performance of the TW-ECDM Process Using Magnetohydrodynamics (MHD) on Quartz Material." Materials 14, no. 9: 2377.
Ti-6Al-4V is an alloy that has a high strength-to-weight ratio. It is known as an alpha-beta titanium alloy with excellent corrosion resistance. This alloy has a wide range of applications, e.g., in the aerospace and biomedical industries. Examples of alpha stabilizers are aluminum, oxygen, nitrogen, and carbon, which are added to titanium. Examples of beta stabilizers are titanium–iron, titanium–chromium, and titanium–manganese. Despite the exceptional properties, the processing of this titanium alloy is challenging when using conventional methods as it is quite a hard and tough material. Nonconventional methods are required to create intricate and complex geometries, which are difficult with the traditional methods. The present study focused on machining Ti-6Al-4V using wire electrical discharge machining (WEDM) and conducting numerous experiments to establish the machining parameters. The optimal setting of the machining parameters was predicted using a multiresponse optimization technique. Experiments were planned using the response surface methodology (RSM) technique and analysis of variance (ANOVA) was used to determine the significance and contribution of the input parameters to changes in the output characteristics (cutting speed and surface roughness). The cutting speed obtained during the processing of the annealed titanium alloy using WEDM was quite large as compared to the cutting speed obtained in the case of processing the pure, quenched, and hardened titanium alloys using WEDM. The maximum cutting speed obtained while processing the annealed titanium alloy was 1.75 mm/min.
Nitin Gupta; Nalin Somani; Chander Prakash; Ranjit Singh; Arminder Walia; Sunpreet Singh; Catalin Pruncu. Revealing the WEDM Process Parameters for the Machining of Pure and Heat-Treated Titanium (Ti-6Al-4V) Alloy. Materials 2021, 14, 2292 .
AMA StyleNitin Gupta, Nalin Somani, Chander Prakash, Ranjit Singh, Arminder Walia, Sunpreet Singh, Catalin Pruncu. Revealing the WEDM Process Parameters for the Machining of Pure and Heat-Treated Titanium (Ti-6Al-4V) Alloy. Materials. 2021; 14 (9):2292.
Chicago/Turabian StyleNitin Gupta; Nalin Somani; Chander Prakash; Ranjit Singh; Arminder Walia; Sunpreet Singh; Catalin Pruncu. 2021. "Revealing the WEDM Process Parameters for the Machining of Pure and Heat-Treated Titanium (Ti-6Al-4V) Alloy." Materials 14, no. 9: 2292.