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Dr. Raman Kumar
Guru Nanak Dev Engineering College

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Research Keywords & Expertise

0 sustainable manufacturing
0 multi objective optimization
0 Machining and its optimization.
0 MCDM analysis
0 MADM

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Machining and its optimization.
sustainable manufacturing
multi objective optimization

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Short Biography

Dr. Raman Kumar (Sehgal) is presently working as Assistant Professor, Department of Mechanical Engineering, Guru Nanak Dev Engineering College, Ludhiana (Punjab), India. He has completed his B. Tech. (Mechanical Engineering), M. Tech. (Production Engineering) and Ph.D. in Mechanical Engineering. He has five years of industry experience and fifteen years of teaching as well as research experience. His areas of interest are energy-efficient machining, optimization of processes, and multi-criteria decision making. He has more than twenty research publications in national and international conferences and journals of repute. He is a Life Member of ISTE and a member of SAE India. He is acting as a reviewer of Journal of Cleaner Production (Elsevier), World Journal of Engineering (Emerald), Indian Journal of Engineering and Materials Sciences (NISCAIR), International Journal of Precision Engineering and Manufacturing-Green Technology (Springer), Proceeding of the Institutions of Mechanical Engineers, Part B: Journal of Engineering Manufacture (SAGE journals). He has participated in many Workshops, Seminars, and FDPs. He also has organized a National Conference, various FDPs, and delivered numerous expert lectures.

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Journal article
Published: 05 August 2021 in Energies
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Increasing the energy efficiency of machining operations can contribute to more sustainable manufacturing. Therefore, there is a necessity to investigate, evaluate, and optimize the energy consumed during machining operations. The research highlights a method employed to prioritize the most energy-intensive machining operation and highlights the significance of electric parameters as predictors in power estimation of machining operations. Multi regression modeling with standardized regression weights was used to identify significant power quality predictors for active power evaluation for machining operations. The absolute error and the relative error both decreased when the active power was measured by the power analyzer for each of the identified machining operations, compared to the standard power equation and that obtained from the modeled regression equations. Furthermore, to determine energy-intensive machining operation, a hybrid decision-making technique based on TOPSIS (a technique for order preference by similarity to ideal solution) and DoM (degree of membership) was utilized. Allocation of weights to energy responses was carried out using three methods, i.e., equal importance, entropy weights, and the AHP (analytical hierarchy process). Results revealed that a drilling process carried out on material ST 52.3 is energy-intensive. This accentuates the significance of electric parameters in the assessment of active power during machining operations.

ACS Style

Ardamanbir Sidhu; Sehijpal Singh; Raman Kumar; Danil Pimenov; Khaled Giasin. Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study. Energies 2021, 14, 4761 .

AMA Style

Ardamanbir Sidhu, Sehijpal Singh, Raman Kumar, Danil Pimenov, Khaled Giasin. Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study. Energies. 2021; 14 (16):4761.

Chicago/Turabian Style

Ardamanbir Sidhu; Sehijpal Singh; Raman Kumar; Danil Pimenov; Khaled Giasin. 2021. "Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study." Energies 14, no. 16: 4761.

Conference paper
Published: 13 July 2021 in Lecture Notes in Civil Engineering
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Building information modeling (BIM) integrates the various stages of building and infrastructure construction like design, construction, maintenance, and demolition. As a result, BIM can improve the performance, efficiency, mitigate risks, increase safety, decrease the waste, costs, and carbon footprint of the construction projects. Civil engineering is though late, but adopting the use of digital modeling for design, construction, and operations. The sub-branch geotechnical engineering of civil needs to design and calculate its solutions based on these technologies. All aspects like roads, railways, or highways that are related to geotechnical engineering are referred to as transportation geotechnics. One major challenge in transportation geotechnics is the substantial influence of the external environment on the life, performance, and serviceability of the pavement structures. Smart societies will be using BIM more judiciously as it can revolutionize the way to plan, design, and manage infrastructures. The present paper outlines the concept of BIM in the field of transportation geotechnics.

ACS Style

Lovnesh Kumar Goyal; Hardeep Singh Rai; Raman Kumar. BIM and Transportation Geotechnics: An Outline. Lecture Notes in Civil Engineering 2021, 269 -281.

AMA Style

Lovnesh Kumar Goyal, Hardeep Singh Rai, Raman Kumar. BIM and Transportation Geotechnics: An Outline. Lecture Notes in Civil Engineering. 2021; ():269-281.

Chicago/Turabian Style

Lovnesh Kumar Goyal; Hardeep Singh Rai; Raman Kumar. 2021. "BIM and Transportation Geotechnics: An Outline." Lecture Notes in Civil Engineering , no. : 269-281.

Review
Published: 30 June 2021 in Sustainability
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The United Nations (UN) 2030 agenda on sustainable development goals (SDGs) encourages us to implement sustainable infrastructure and services for confronting challenges such as large energy consumption, solid waste generation, depletion of water resources and emission of greenhouse gases in the construction industry. Therefore, to overcome challenges and establishing sustainable construction, there is a requirement to integrate information technology with innovative manufacturing processes and materials science. Moreover, the wide implementation of three-dimensional printing (3DP) technology in constructing monuments, artistic objects, and residential buildings has gained attention. The integration of the Internet of Things (IoT), cloud manufacturing (CM), and 3DP allows us to digitalize the construction for providing reliable and digitalized features to the users. In this review article, we discuss the opportunities and challenges of implementing the IoT, CM, and 3D printing (3DP) technologies in building constructions for achieving sustainability. The recent convergence research of cloud development and 3D printing (3DP) are being explored in the article by categorizing them into multiple sections including 3D printing resource access technology, 3D printing cloud platform (3D–PCP) service architectures, 3D printing service optimized configuration technology, 3D printing service evaluation technology, and 3D service control and monitoring technology. This paper also examines and analyzes the limitations of existing research and, moreover, the article provides key recommendations such as automation with robotics, predictive analytics in 3DP, eco-friendly 3DP, and 5G technology-based IoT-based CM for future enhancements.

ACS Style

Rajesh Singh; Anita Gehlot; Shaik Akram; Lovi Gupta; Manoj Jena; Chander Prakash; Sunpreet Singh; Raman Kumar. Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction. Sustainability 2021, 13, 7327 .

AMA Style

Rajesh Singh, Anita Gehlot, Shaik Akram, Lovi Gupta, Manoj Jena, Chander Prakash, Sunpreet Singh, Raman Kumar. Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction. Sustainability. 2021; 13 (13):7327.

Chicago/Turabian Style

Rajesh Singh; Anita Gehlot; Shaik Akram; Lovi Gupta; Manoj Jena; Chander Prakash; Sunpreet Singh; Raman Kumar. 2021. "Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction." Sustainability 13, no. 13: 7327.

Journal article
Published: 30 June 2021 in Sustainability
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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.

ACS Style

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 Style

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 (13):7321.

Chicago/Turabian Style

Rezaul 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.

Conference paper
Published: 11 June 2021 in Materials Today: Proceedings
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The study’s objective is to determine the optimum content of lime added to Indian black cotton soil to improve the soil’s unconfined compressive strength (UCS). The lime was added to the black cotton soil in varying proportions of 3%, 6%, 9% and 12% of the dry weight of the soil. The engineering properties of weak black cotton soil (BCS) were determined experimentally according to Indian Standard specifications. It was found that the soil under test consisted mainly of silt 75.60% and clay 18.80%. The laboratory testing showed that the value of maximum dry density (MDD) increases from 1.605 gm/cc to 1.693 gm/cc and the UCS value increased from 50.2 kN/m2 to 90.6 kN/m2 with 9% addition of lime content and for 28 days of curing time. The UCS of soil–lime mix decreased drastically beyond 9% addition of lime, showing that the optimum value of lime content to strengthen the weak soil is 9%. The strengthening of black cotton soil with the addition of lime as an additive provides stability to the civil engineering structures like sub-base/subgrade for roads and other engineering projects.

ACS Style

Karanbir Singh Randhawa; Rajiv Chauhan; Raman Kumar. An investigation on the effect of lime addition on UCS of Indian black cotton soil. Materials Today: Proceedings 2021, 1 .

AMA Style

Karanbir Singh Randhawa, Rajiv Chauhan, Raman Kumar. An investigation on the effect of lime addition on UCS of Indian black cotton soil. Materials Today: Proceedings. 2021; ():1.

Chicago/Turabian Style

Karanbir Singh Randhawa; Rajiv Chauhan; Raman Kumar. 2021. "An investigation on the effect of lime addition on UCS of Indian black cotton soil." Materials Today: Proceedings , no. : 1.

Conference paper
Published: 20 May 2021 in Materials Today: Proceedings
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Studies on sustainable manufacturing engineering accumulate a growing body of knowledge, driven by an increasing interest in processes’ long-term viability. The quality enhancement and optimization of manufacturing operations have become a pressing need for sustainability. As a result, new renewable technology and work method proposals are required; they must combine the ecological and social aspects at an industrial level of manufacturing processes while preserving the economic and technological viability. There is no single structure for orienting study lines of optimization when it comes to sustainability. So, this paper focuses on a summary of concepts related to sustainable machining operations. In this framework, sustainable machining can be described as a part of sustainable manufacturing. The different alternative machining technologies such as dry machining, cryogenic machining, and high-pressure jet assisted machining, etc., are discussed briefly concerning sustainable machining. The problem and synergy between economic and environmental considerations and the effect of cooling fluids in the machining operations, optimization of power/energy responses in determining optimal machining conditions are outlined for sustainable machining. This paper offers a broad assessment of sustainable machining technology’s value in achieving sustainable manufacturing goals and implementing them at the ground level.

ACS Style

Robin Singh Chandel; Raman Kumar; Jatinder Kapoor. Sustainability aspects of machining operations: A summary of concepts. Materials Today: Proceedings 2021, 1 .

AMA Style

Robin Singh Chandel, Raman Kumar, Jatinder Kapoor. Sustainability aspects of machining operations: A summary of concepts. Materials Today: Proceedings. 2021; ():1.

Chicago/Turabian Style

Robin Singh Chandel; Raman Kumar; Jatinder Kapoor. 2021. "Sustainability aspects of machining operations: A summary of concepts." Materials Today: Proceedings , no. : 1.

Review
Published: 18 May 2021 in Sustainability
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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.

ACS Style

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 Style

Raman 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 Style

Raman 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.

Conference paper
Published: 17 May 2021 in Materials Today: Proceedings
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Industrial robots have enabled manufacturing firms to produce high-quality products cost-effectively and thus are essential components of advanced manufacturing technologies. Industrial robots are designed for various applications such as welding, painting, assembly, disassembly, pick and place for printed circuit boards, packaging and labelling, palletizing, product inspection, and testing. All the features are accomplished with high endurance, speed and precision. The performance of industrial robots is determined by multiple and conflicting criteria that have to be simultaneously considered in a robust selection procedure. In this study, a simple multi-criteria decision-making (MCDM) methodology based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is presented to choose an industrial robot for the arc welding operation. The weights of significance are attained with objective preferences using the Entropy weight method. The order of ranking obtained with the TOPSIS-Entropy technique is presented. The results showed that the MCDM approaches for robot selection are quite useful. The novelty of the study lies to prioritize industrial arc welding robots with TOPSIS-Entropy MCDM methods.

ACS Style

Varun Chodha; Rohit Dubey; Raman Kumar; Sehijpal Singh; Swapandeep Kaur. Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques. Materials Today: Proceedings 2021, 1 .

AMA Style

Varun Chodha, Rohit Dubey, Raman Kumar, Sehijpal Singh, Swapandeep Kaur. Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques. Materials Today: Proceedings. 2021; ():1.

Chicago/Turabian Style

Varun Chodha; Rohit Dubey; Raman Kumar; Sehijpal Singh; Swapandeep Kaur. 2021. "Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques." Materials Today: Proceedings , no. : 1.

Conference paper
Published: 15 May 2021 in Materials Today: Proceedings
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Punjab is a state with enormous biomass potential resource available as crop residue called agri-waste. In the wake of utilizing agricultural waste as local fuel, feeding and thatching, it is widely available. The burning of agricultural-waste in the atmosphere pollutes the environment and promotes global warming. Thereby it is essential to use this waste for human’s worthiness. This article presents the region-wise production from biomass build-ups and the surplus potential. Roughly 64 Mty-1 of the total build-up is created from diverse main and insignificant yields, out of which 60.22% is expended in diverse structures, bringing about 40.3% as a net surplus accessible for energy generation. Essential and net surplus product build-ups for energy potential were calculated in every province. Moga, Patiala, Gurdaspur, Ludhiana, and Jalandhar are the actual excess biomass potential areas. In contrast, Pathankot, Fatehgarh Sahib, Rupnagar Shaheed Bhagat Singh Nagar, Bathinda are the least biomass potential locale inside the state. About 1.263 GW and 1.199 GW of energy in the state can be produced using essential and net surplus biomass surplus individually. This paper also discussed the block-wise biomass potential in district Ludhiana. The proposed power plant location in this district, fuel cost, fuel availability and transportation cost are considered as constraints. It has been seen that maximum fuel is available at Sidhwanbet village. Still, by adding transportation cost and comparing results, it has been seen that the effective cost of fuel of plant located at the block–II Ludhiana is minimum.

ACS Style

Harpreet Kaur Channi; Manjeet Singh; Yadwinder Singh Brar; Arvind Dhingra; Surbhi Gupta; Harpuneet Singh; Raman Kumar; Swapandeep Kaur. Agricultural waste assessment for the optimal power generation in the Ludhiana district, Punjab, India. Materials Today: Proceedings 2021, 1 .

AMA Style

Harpreet Kaur Channi, Manjeet Singh, Yadwinder Singh Brar, Arvind Dhingra, Surbhi Gupta, Harpuneet Singh, Raman Kumar, Swapandeep Kaur. Agricultural waste assessment for the optimal power generation in the Ludhiana district, Punjab, India. Materials Today: Proceedings. 2021; ():1.

Chicago/Turabian Style

Harpreet Kaur Channi; Manjeet Singh; Yadwinder Singh Brar; Arvind Dhingra; Surbhi Gupta; Harpuneet Singh; Raman Kumar; Swapandeep Kaur. 2021. "Agricultural waste assessment for the optimal power generation in the Ludhiana district, Punjab, India." Materials Today: Proceedings , no. : 1.

Journal article
Published: 20 April 2021 in Materials
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Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

ACS Style

Raman Kumar; Rohit Dubey; Sehijpal Singh; Sunpreet Singh; Chander Prakash; Yadaiah Nirsanametla; Grzegorz Królczyk; Roman Chudy. Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component. Materials 2021, 14, 2084 .

AMA Style

Raman Kumar, Rohit Dubey, Sehijpal Singh, Sunpreet Singh, Chander Prakash, Yadaiah Nirsanametla, Grzegorz Królczyk, Roman Chudy. Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component. Materials. 2021; 14 (8):2084.

Chicago/Turabian Style

Raman Kumar; Rohit Dubey; Sehijpal Singh; Sunpreet Singh; Chander Prakash; Yadaiah Nirsanametla; Grzegorz Królczyk; Roman Chudy. 2021. "Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component." Materials 14, no. 8: 2084.

Journal article
Published: 13 April 2021 in International Journal of Environmental Research and Public Health
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The use of dental hand pieces endanger dentists to vibration exposure as they are subjected to very high amplitude and vibration frequency. This paper has envisaged a comparative analysis of vibration amplitudes and transmissibility during idling and drilling with micro motor (MM) and air-turbine (AT) hand pieces. The study aims to identify the mean difference in vibration amplitudes during idling, explore different grasp forces while drilling with irrigant injection by the dentist, and various vibration transmission of these hand pieces. The study utilized 22 separate frequency resonances on two new and eight used MMs and two new and eight used ATs of different brands by observing the investigator at 16 different dentist clinics. The study adopted a descriptive research design with non–probability sampling techniques for selecting dentists and hand pieces. Statistical methods like Levene Test of Homogeneity, Welch ANOVA, independent t-test, and Games–Howell test were utilized with SPSS version 22 and MS-Excel. The results reveal that vibration amplitudes and vibration transmissibility when measured at position 2 are higher than in another position 1. Vibrations during idling for used MMs are more than AT hand pieces, and the used MM (MUD) and used AT (AUA) hand pieces differ due to their obsolescence and over-usage. Vibration amplitudes increase every time with the tightening of grasping of the hand piece. Vibration amplitudes for each grasping style of MM hand piece differ from all other grasping styles of AT hand pieces. Routine exposure to consistent vibrations has ill physical, mental, and psychological effects on dentists. The used hand pieces more hazardous as compared to newer ones. The study suggests that these hand pieces must be replaced periodically, sufficient to break between two operations, especially after every hand piece usage. Hence, the present research work can be further extended by creating some control groups among dentists and then studying the vibration amplitude exposure of various dental hand pieces and subsequent transmissibility to their body parts.

ACS Style

Harish Banga; Pankaj Goel; Raman Kumar; Vikas Kumar; Parveen Kalra; Sehijpal Singh; Sunpreet Singh; Chander Prakash; Catalin Pruncu. Vibration Exposure and Transmissibility on Dentist’s Anatomy: A Study of Micro Motors and Air-Turbines. International Journal of Environmental Research and Public Health 2021, 18, 4084 .

AMA Style

Harish Banga, Pankaj Goel, Raman Kumar, Vikas Kumar, Parveen Kalra, Sehijpal Singh, Sunpreet Singh, Chander Prakash, Catalin Pruncu. Vibration Exposure and Transmissibility on Dentist’s Anatomy: A Study of Micro Motors and Air-Turbines. International Journal of Environmental Research and Public Health. 2021; 18 (8):4084.

Chicago/Turabian Style

Harish Banga; Pankaj Goel; Raman Kumar; Vikas Kumar; Parveen Kalra; Sehijpal Singh; Sunpreet Singh; Chander Prakash; Catalin Pruncu. 2021. "Vibration Exposure and Transmissibility on Dentist’s Anatomy: A Study of Micro Motors and Air-Turbines." International Journal of Environmental Research and Public Health 18, no. 8: 4084.

Journal article
Published: 10 March 2021 in Procedia CIRP
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Mechanical machining is a significant part of manufacturing industries, which usually includes the cutting of metals to remove unwanted material using different cutting tools. The EN 353 alloy steel is widely utilized to manufacture critical parts of an automobile such as heavy-duty gear, camshaft, gudgeon pins, shaft, and pinion etc. which require significant strength, hardness, resilience and surface quality. Thus, it needs to be investigated from the point of view of energy efficiency (ĖĖ) during its processing to finish parts. The high ĖĖ of the machining processes is generally the key factor for reducing the electricity bills and carbon emissions. In the present work, the ĖĖ is optimized with the Taguchi method and modelled with response surface methodology (RSM) for the finish turning of EN 353 alloy steel. The interactions between cutting variables and nose radius were considered in experimental design, and the cermet inserts were used. The results reveal that at the optimum finish turning variables, there is a 78.92% enhancement in ĖĖ as compared to finish turning settings utilized in industries. The optimum value of ĖĖ is achieved by cutting variables at higher levels and nose radius at a middle level. The analysis of variance (ANOVA) results indicates that the feed rate has minimal influence on the response and the depth of cut has an immense effect followed by cutting speed and nose radius. The coefficient of determination 93.02% for the regression model is relatively high, which indicates the model’s abilities to create correct predictions. Further, the optimization energy parameters can be considered along with other quality features for more realistic results.

ACS Style

Raman Kumar; Paramjit Singh Bilga; Sehijpal Singh. An Investigation of Energy Efficiency in Finish Turning of EN 353 Alloy Steel. Procedia CIRP 2021, 98, 654 -659.

AMA Style

Raman Kumar, Paramjit Singh Bilga, Sehijpal Singh. An Investigation of Energy Efficiency in Finish Turning of EN 353 Alloy Steel. Procedia CIRP. 2021; 98 ():654-659.

Chicago/Turabian Style

Raman Kumar; Paramjit Singh Bilga; Sehijpal Singh. 2021. "An Investigation of Energy Efficiency in Finish Turning of EN 353 Alloy Steel." Procedia CIRP 98, no. : 654-659.

Conference paper
Published: 02 March 2021 in Lecture Notes in Civil Engineering
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Just after the COVID-19 pandemic, a national lockout is initially enforced in India from March 24 to April 14, 2020, for three weeks and prolonged until May 31, 2020. Because of the mandatory restrictions, emission levels across the country decelerated dramatically during the first very few days. In this paper, the air quality index (AQI) of Ludhiana city, Punjab, has been investigated during the pre- and post-lockdown period. The air quality data of pollutant parameters (PM10, PM2.5, SO2, NO2, CO, O3, and NH3) has been collected from authorized Punjab Agriculture University (PAU), Ludhiana monitoring station of National Air Quality Index (NAQI). A descriptive statistics analysis was applied to check the acceptance level of six significant parameters, including AQI. The sample data was then analyzed using correlation and paired sample t-test to find out the significant level of each parameter under consideration. The results showed that air quality has significantly improved during the lockdown. The paper has suggested adopting such forced periodic alternatives soon to clean the environment.

ACS Style

Pankaj Goel; Harpreet Kaur; Raman Kumar; Paramjit Singh Bilga; Nidhi Aggarwal. Analysis of Air Quality Index During Lockdown: A Case of Ludhiana District-Punjab. Lecture Notes in Civil Engineering 2021, 671 -681.

AMA Style

Pankaj Goel, Harpreet Kaur, Raman Kumar, Paramjit Singh Bilga, Nidhi Aggarwal. Analysis of Air Quality Index During Lockdown: A Case of Ludhiana District-Punjab. Lecture Notes in Civil Engineering. 2021; ():671-681.

Chicago/Turabian Style

Pankaj Goel; Harpreet Kaur; Raman Kumar; Paramjit Singh Bilga; Nidhi Aggarwal. 2021. "Analysis of Air Quality Index During Lockdown: A Case of Ludhiana District-Punjab." Lecture Notes in Civil Engineering , no. : 671-681.

Review article
Published: 03 January 2021 in Journal of Materials Research and Technology
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Machining operation optimization improves the quality of the product, reduces cost, enhances overall efficiency by reducing human error, and enables consistent and efficient operation. It is a vital decision-making process and achieves the best solution within constraints. It reduces reliance on machine-tool technicians and handbooks to identify cutting parameters, as a lack of awareness of the optimal combination of machining parameters leads to several machining inefficiencies. Subsequently, the optimization of the machining process is more useful for units of production, particularly machining units. In multi-objective optimization (MOO) problems, weights of importance are assigned, mostly identical. But, nowadays, the weights assignment techniques have received a lot of consideration from the professionals and researchers in MOO problems. Various techniques are developed to assign weights of significance to responses in MOO. The Entropy weights method (EWM) continues to work pleasingly across diverse machining operations to allocate objective weights. In this paper, a literature review is conducted to classify the articles on EWM applications in machining operations. The categorization proposal for the EWM reviews included 65 academic articles from different journals, books, and conferences since the year 2009. The EWM applications were separated into 18 categories of conventional and non-conventional machining operations. The implementation procedure of EWM is presented with an example along with method development. Scholarly articles in the EWM applications are further inferred based on (1) implementation of EWM in different machining operations, (2) MOO methods used with entropy weights in machining operations, (3) application of entropy weights by citation index and publication year, and (4) entropy weights applications in other fields. The review paper provided constructive insight into the EWM applications and ended with suggestions for further research in machining and different areas.

ACS Style

Raman Kumar; Sehijpal Singh; Paramjit Singh Bilga; Jatin; Jasveer Singh; Sunpreet Singh; Maria-Luminiţa Scutaru; Cătălin Iulian Pruncu. Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review. Journal of Materials Research and Technology 2021, 10, 1471 -1492.

AMA Style

Raman Kumar, Sehijpal Singh, Paramjit Singh Bilga, Jatin, Jasveer Singh, Sunpreet Singh, Maria-Luminiţa Scutaru, Cătălin Iulian Pruncu. Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review. Journal of Materials Research and Technology. 2021; 10 ():1471-1492.

Chicago/Turabian Style

Raman Kumar; Sehijpal Singh; Paramjit Singh Bilga; Jatin; Jasveer Singh; Sunpreet Singh; Maria-Luminiţa Scutaru; Cătălin Iulian Pruncu. 2021. "Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review." Journal of Materials Research and Technology 10, no. : 1471-1492.

Review
Published: 21 November 2020 in IOP Conference Series: Materials Science and Engineering
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A smart city is a community that uses information and communication technologies (ICT) to enhance the standard of community services and the health of people. The smart city concept takes into account the better engagement of its citizens for sustainable resource utilization, social and better relational capital while assuring its quality and performance. Building Information Modeling (BIM) is a computer-aided modern parametric solution to revolutionize the decision-making process in the construction of energy-efficient buildings and smart cities. BIM enables design, development, operate and manage the construction endeavors cost-effectively while sharing and exchanging information to all the stakeholders involved. The practical implementation of BIM results in the mitigation of risks in the initial phases of the projects. This paper explores the components of a smart city concept using BIM and its various variants in the development of a smart city. The geographic information system (GIS) environment can aid in providing a suitable data management system in transportation design with minimum accidents, earthquake mitigation, and preventing fire hazards to build a smart city. The review highlights the various tools such as GIS, Building Energy Model (BEM) could be an innovative concept to make a smart city. The given review will help policymakers to adopt BIM on their way to build a sustainable, reliable, energy-efficient smart city construction.

ACS Style

Lovnesh Kumar Goyal; Rajiv Chauhan; Raman Kumar; Hardeep Singh Rai. Use of BIM in Development of Smart Cities: A Review. IOP Conference Series: Materials Science and Engineering 2020, 955, 012010 .

AMA Style

Lovnesh Kumar Goyal, Rajiv Chauhan, Raman Kumar, Hardeep Singh Rai. Use of BIM in Development of Smart Cities: A Review. IOP Conference Series: Materials Science and Engineering. 2020; 955 (1):012010.

Chicago/Turabian Style

Lovnesh Kumar Goyal; Rajiv Chauhan; Raman Kumar; Hardeep Singh Rai. 2020. "Use of BIM in Development of Smart Cities: A Review." IOP Conference Series: Materials Science and Engineering 955, no. 1: 012010.

Conference paper
Published: 21 November 2020 in IOP Conference Series: Materials Science and Engineering
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ACS Style

Raman Kumar; Harish Kumar Banga; Harpreet Kaur. Internet of Things-Supported Smart City Platform. IOP Conference Series: Materials Science and Engineering 2020, 955, 1 .

AMA Style

Raman Kumar, Harish Kumar Banga, Harpreet Kaur. Internet of Things-Supported Smart City Platform. IOP Conference Series: Materials Science and Engineering. 2020; 955 ():1.

Chicago/Turabian Style

Raman Kumar; Harish Kumar Banga; Harpreet Kaur. 2020. "Internet of Things-Supported Smart City Platform." IOP Conference Series: Materials Science and Engineering 955, no. : 1.

Conference paper
Published: 01 July 2020 in Materials Today: Proceedings
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The contact between two surfaces is universally inevitable, and the production of friction, which eventually leads to wearing out of the material, is one of the significant hurdles that can easily be tackled with the third member of Tribology called lubrication. The new applications ask for lubricants to be having minor shear strength, higher strength in compression, and improved adhesion in most coarse and severe conditions. As a result, an essential first choice is a solid lubricant since it has outstanding lubricating properties. The present overview of solid lubricants briefly discusses the significance of lubricants, their use, classification, and recent advancements in engineering applications and patents. The review results reveal that the solid lubricants possess excellent features in modern-day applications, thus being more prominent and frequent in use. The research studies on hybrid/composites lubricants are increasing day by day, along with several patents.

ACS Style

Raman Kumar; Harish Kumar Banga; Harpreet Singh; Sumit Kundal. An outline on modern day applications of solid lubricants. Materials Today: Proceedings 2020, 28, 1962 -1967.

AMA Style

Raman Kumar, Harish Kumar Banga, Harpreet Singh, Sumit Kundal. An outline on modern day applications of solid lubricants. Materials Today: Proceedings. 2020; 28 ():1962-1967.

Chicago/Turabian Style

Raman Kumar; Harish Kumar Banga; Harpreet Singh; Sumit Kundal. 2020. "An outline on modern day applications of solid lubricants." Materials Today: Proceedings 28, no. : 1962-1967.

Research article
Published: 25 June 2020 in Polymer Composites
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The shape memory polymers have attained huge attention as smart materials owing to their enormous benefits in the context of the common class of thermoplastics. In this study, novel thermal‐stimulus‐based hydroxyapatite (HA) reinforced polylactic acid (PLA) scaffolds have been developed through three‐dimensional (3D) printing technology. Initially, the effect of various processing parameters, such as the proportion of HA in PLA and infill density, and level of stimulating temperature, on tensile, flexural, and compression strength of the developed composite scaffolds have been studied to understand their effects, through statistically assisted single and multiobjective optimization techniques. The shape recovery factor of the prestrained composite scaffolds has been assessed by providing thermal‐stimulus. Finally, the biological performance of the developed scaffolds has been evaluated through in vitro cell culture and wettability analysis. The morphological study of the composite scaffolds, at different stages, has been performed for understanding the effect of processing parameters on the mechanical, shape recovery effect, and biological responses. Overall, the results of the study highlighted that the 3D printed scaffolds possessed nearly 95.77% shape memory effect along with desirable mechanical, in vitro biocompatibility, and hydrophilic morphology suitable to be a potential candidate of fabricating customized biomedical devices with activated shape recovery abilities.

ACS Style

Gurminder Singh; Sunpreet Singh; Chander Prakash; Raman Kumar; RanVijay Kumar; Seeram Ramakrishna. Characterization of three‐dimensional printed thermal‐stimulus polylactic acid‐hydroxyapatite‐based shape memory scaffolds. Polymer Composites 2020, 41, 3871 -3891.

AMA Style

Gurminder Singh, Sunpreet Singh, Chander Prakash, Raman Kumar, RanVijay Kumar, Seeram Ramakrishna. Characterization of three‐dimensional printed thermal‐stimulus polylactic acid‐hydroxyapatite‐based shape memory scaffolds. Polymer Composites. 2020; 41 (9):3871-3891.

Chicago/Turabian Style

Gurminder Singh; Sunpreet Singh; Chander Prakash; Raman Kumar; RanVijay Kumar; Seeram Ramakrishna. 2020. "Characterization of three‐dimensional printed thermal‐stimulus polylactic acid‐hydroxyapatite‐based shape memory scaffolds." Polymer Composites 41, no. 9: 3871-3891.

Journal article
Published: 16 June 2020 in Materials
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An effort is made in this work to appraise the surface characteristics of machined expandable polystyrene (EPS) with a novel 3D printed thermoplastic acrylonitrile-butadiene-styrene (ABS) tool. Linear grooves on EPS were made on a vertical milling machine that was modified to conduct experiments in the laboratory. The tests were designed as per the Taguchi L9 based factorial design of experimentation while varying process parameters such as depth of cut, spindle speed, and feed rate. The machining responses dimensional accuracy and surface roughness of the machined grooves were studied. Furthermore, the surface topography of the machined specimens was considered to investigate the mechanism of material removal in response to the processing conditions. Moreover, mathematical models developed for the prediction of the output responses showed a significant correlation with the experimental results. The results of the statistical study indicate that the surface roughness is influenced by the spindle speed and dimensional accuracy by the depth-of-cut. Overall, the findings of the experimental work advocated the feasibility of 3D printed thermoplastic tools for machining soft polymeric materials. It can become a useful alternative for mass and batch production.

ACS Style

Kamalpreet Sandhu; Gurminder Singh; Sunpreet Singh; Raman Kumar; Chander Prakash; Seeram Ramakrishna; Grzegorz Królczyk; Catalin I. Pruncu. Surface Characteristics of Machined Polystyrene with 3D Printed Thermoplastic Tool. Materials 2020, 13, 1 .

AMA Style

Kamalpreet Sandhu, Gurminder Singh, Sunpreet Singh, Raman Kumar, Chander Prakash, Seeram Ramakrishna, Grzegorz Królczyk, Catalin I. Pruncu. Surface Characteristics of Machined Polystyrene with 3D Printed Thermoplastic Tool. Materials. 2020; 13 (12):1.

Chicago/Turabian Style

Kamalpreet Sandhu; Gurminder Singh; Sunpreet Singh; Raman Kumar; Chander Prakash; Seeram Ramakrishna; Grzegorz Królczyk; Catalin I. Pruncu. 2020. "Surface Characteristics of Machined Polystyrene with 3D Printed Thermoplastic Tool." Materials 13, no. 12: 1.

Research article
Published: 09 June 2020 in Measurement and Control
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The multicriteria decision-making methodology is utilized to assess different portable hard disk drive alternatives, according to the purchaser/retailer/wholesaler liking with respect to various attributes. The hard disk drive comes under various types and has a number of attributes connected with it such as storage capacity, size, data transfer speed and physical dimensions. The modern market caters to a wide variety of customer needs. Therefore, it becomes the need of the hour to present a simple technique to select the best alternative for purchaser/retailer/wholesaler to satisfy their combined needs. Among the multicriteria decision-making methods, the more simple and widely used technique weighted aggregated sum product assessment is utilized in this work. The data of different hard disk drives were collected that were available in the Indian market and 24 different models of five brands were considered in decision-making. The equal weights method and objective weights method, that is standard deviation method, are utilized to allocate weights of significance to the criteria. The ranks obtained with simple additive weighting, weighted product method and weighted aggregated sum product assessment are presented, and final ranks are considered with weighted aggregated sum product assessment method because it is an amalgamation of the simple additive weighting and weighted product method. The result reveals that Western Digital comes out to be the first choice as a brand because the top three models belong to them with both equal and objective weights. While utilizing these techniques, a consumer can purchase the best hard disk drive and it is also very advantageous for merchants and sellers to aid users in procuring their gadgets while manufacture of hard disk drive can produce their product with unique technological features aimed at particular users. Furthermore, the subjective weights can be considered to select the best alternative.

ACS Style

Raman Kumar; Abhishek Bhattacherjee; Angad Deep Singh; Sunpreet Singh; Catalin I Pruncu. Selection of portable hard disk drive based upon weighted aggregated sum product assessment method: A case of Indian market. Measurement and Control 2020, 53, 1218 -1230.

AMA Style

Raman Kumar, Abhishek Bhattacherjee, Angad Deep Singh, Sunpreet Singh, Catalin I Pruncu. Selection of portable hard disk drive based upon weighted aggregated sum product assessment method: A case of Indian market. Measurement and Control. 2020; 53 (7-8):1218-1230.

Chicago/Turabian Style

Raman Kumar; Abhishek Bhattacherjee; Angad Deep Singh; Sunpreet Singh; Catalin I Pruncu. 2020. "Selection of portable hard disk drive based upon weighted aggregated sum product assessment method: A case of Indian market." Measurement and Control 53, no. 7-8: 1218-1230.