This page has only limited features, please log in for full access.

Mr. Shoaib Sarfraz
Cranfield University

Basic Info


Research Keywords & Expertise

0 Cost Engineering
0 Sustainability
0 Laser machining
0 Electric Discharge Machining
0 Manufacturing & Process Optimisation

Fingerprints

Manufacturing & Process Optimisation
Sustainability
Electric Discharge Machining

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Original article
Published: 06 March 2021 in The International Journal of Advanced Manufacturing Technology
Reads 0
Downloads 0

Gas tungsten arc welding (GTAW) technology is widely used in industry and has advantages, including high precision, excellent welding quality, and low equipment cost. However, the inclusion of a large number of process parameters hinders its application on a wider scale. Therefore, there is a need to implement the prediction and optimization models that effectively enhance the process performance of the GTAW process in different applications. In this study, a five-factor five-level central composite design (CCD) matrix was used to conduct GTAW experiments. AISI 1020 steel blank was used as a substrate; UTP AF Ledurit 60 and UTP AF Ledurit 68 were used as the materials of two tubular wires. Further, an artificial neural network (ANN) was used to simulate the GTAW process and then combined with a genetic algorithm (GA) to determine welding parameters that can provide an optimal weld. In welding experiments, five different welding current levels, welding speed, distance to the nozzle, angle of movement, and frequency of the wire feed pulses were used. Using GA, optimal welding parameters were determined: welding current = 222 A, welding speed = 25 cm/min, nozzle deflection distance = 8 mm, travel angle = 25°, wire feed pulse frequency = 8 Hz. The determination coefficient (R2) and RMSE value of all response parameters are satisfactory, and the R 2 of all the data remained higher than 0.65.

ACS Style

Italo Do Valle Tomaz; Fernando Henrique Gruber Colaço; Shoaib Sarfraz; Danil Yu. Pimenov; Munish Kumar Gupta; Giuseppe Pintaude. Investigations on quality characteristics in gas tungsten arc welding process using artificial neural network integrated with genetic algorithm. The International Journal of Advanced Manufacturing Technology 2021, 113, 3569 -3583.

AMA Style

Italo Do Valle Tomaz, Fernando Henrique Gruber Colaço, Shoaib Sarfraz, Danil Yu. Pimenov, Munish Kumar Gupta, Giuseppe Pintaude. Investigations on quality characteristics in gas tungsten arc welding process using artificial neural network integrated with genetic algorithm. The International Journal of Advanced Manufacturing Technology. 2021; 113 (11-12):3569-3583.

Chicago/Turabian Style

Italo Do Valle Tomaz; Fernando Henrique Gruber Colaço; Shoaib Sarfraz; Danil Yu. Pimenov; Munish Kumar Gupta; Giuseppe Pintaude. 2021. "Investigations on quality characteristics in gas tungsten arc welding process using artificial neural network integrated with genetic algorithm." The International Journal of Advanced Manufacturing Technology 113, no. 11-12: 3569-3583.

Chapter
Published: 23 December 2020 in Machining and Machinability of Fiber Reinforced Polymer Composites
Reads 0
Downloads 0

The use of fiber reinforced polymeric (FRP) composites has increased rapidly, especially in many manufacturing (aerospace, automobile and construction) industries. The machining of composite materials is an important manufacturing process. It has attracted several studies over the last decades. Tool wear is a key factor that contributes to the cost of the machining process annually. It occurs due to sudden geometrical damage, frictional force and temperature rise at the tool-work interaction region. Moreover, tool wear is an inevitable, gradual and complex phenomenon. It often causes machined-induced damage on the workpiece/FRP composite materials. Considering the geometry of drill, tool wear may occur at the flank face, rake face and/or cutting edge. There are several factors affecting the tool wear. These include, but are not limited to, drilling parameters and environments/conditions, drill/tool materials and geometries, FRP composite compositions and machining techniques. Hence this chapter focuses on drilling parameters, tool materials and geometries, drilling environments, types of tool wear, mechanisms of tool wear and methods of measurement of wear, effects of wear on machining of composite materials and preventive measures against rapid drill wear. Conclusively, some future perspectives or outlooks concerning the use of drill tools and their associated wears are elucidated, especially with the advancement in science and technology.

ACS Style

Sikiru Oluwarotimi Ismail; Shoaib Sarfraz; Misbah Niamat; Mozammel Mia; Munish Kumar Gupta; Danil Yu Pimenov; Essam Shehab. Comprehensive Study on Tool Wear During Machining of Fiber-Reinforced Polymeric Composites. Machining and Machinability of Fiber Reinforced Polymer Composites 2020, 129 -147.

AMA Style

Sikiru Oluwarotimi Ismail, Shoaib Sarfraz, Misbah Niamat, Mozammel Mia, Munish Kumar Gupta, Danil Yu Pimenov, Essam Shehab. Comprehensive Study on Tool Wear During Machining of Fiber-Reinforced Polymeric Composites. Machining and Machinability of Fiber Reinforced Polymer Composites. 2020; ():129-147.

Chicago/Turabian Style

Sikiru Oluwarotimi Ismail; Shoaib Sarfraz; Misbah Niamat; Mozammel Mia; Munish Kumar Gupta; Danil Yu Pimenov; Essam Shehab. 2020. "Comprehensive Study on Tool Wear During Machining of Fiber-Reinforced Polymeric Composites." Machining and Machinability of Fiber Reinforced Polymer Composites , no. : 129-147.

Research article
Published: 03 November 2020 in Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Reads 0
Downloads 0

Laser drilling is a well-established manufacturing process utilised to produce holes in various aeroengine components. This research presents an experimental investigation on the effects of laser drilling process parameters on productivity (material removal rate), hole quality (hole taper) and drilling cost. Single-pulse drilling was employed to drill a thin-walled Inconel 718 superalloy plate of 1 mm thickness using pulsed Nd:YAG laser. The experiments were designed using Box-Behnken statistical approach to investigate the impacts of pulse energy, pulse duration, gas pressure and gas flow rate on the selected responses. Multi-objective optimisation was performed using response surface methodology (RSM) based grey rational analysis (GRA) to identify optimal drilling conditions aiming to maximise the MRR and minimise hole taper and drilling cost. The optimal combination of drilling parameters was found as pulse energy of 20 J, pulse duration of 6 ms, gas pressure of 100 psi and gas flow rate of 40 mm3/s. A detailed cost analysis identified labour cost, gas consumption and machine costs as the major cost elements of the laser drilling process.

ACS Style

Shoaib Sarfraz; Essam Shehab; Konstantinos Salonitis; Wojciech Suder; Misbah Niamat; Muhammad Jamil. An integrated analysis of productivity, hole quality and cost estimation of single-pulse laser drilling process. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2020, 1 .

AMA Style

Shoaib Sarfraz, Essam Shehab, Konstantinos Salonitis, Wojciech Suder, Misbah Niamat, Muhammad Jamil. An integrated analysis of productivity, hole quality and cost estimation of single-pulse laser drilling process. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 2020; ():1.

Chicago/Turabian Style

Shoaib Sarfraz; Essam Shehab; Konstantinos Salonitis; Wojciech Suder; Misbah Niamat; Muhammad Jamil. 2020. "An integrated analysis of productivity, hole quality and cost estimation of single-pulse laser drilling process." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture , no. : 1.

Journal article
Published: 19 December 2019 in Energies
Reads 0
Downloads 0

Electro Discharge Machining (EDM) can be an element of a sustainable manufacturing system. In the present study, the sustainability implications of EDM of special-purpose steels are investigated. The machining quality (minimum surface roughness), productivity (material removal rate) improvement and cost (electrode wear rate) minimization are considered. The influence and correlation of the three most important machining parameters including pulse on time, current and pulse off time have been investigated on sustainable production. Empirical models have been established based on response surface methodology for material removal rate, electrode wear rate and surface roughness. The investigation, validation and deeper insights of developed models have been performed using ANOVA, validation experiments and microstructure analysis respectively. Pulse on time and current both appeared as the prominent process parameters having a significant influence on all three measured performance metrics. Multi-objective optimization has been performed in order to achieve sustainability by establishing a compromise between minimum quality, minimum cost and maximum productivity. Sustainability contour plots have been developed to select suitable desirability. The sustainability results indicated that a high level of 75.5% sustainable desirability can be achieved for AISI L3 tool steel. The developed models can be practiced on the shop floor practically to attain a certain desirability appropriate for particular machine limits.

ACS Style

Misbah Niamat; Shoaib Sarfraz; Wasim Ahmad; Essam Shehab; Konstantinos Salonitis. Parametric Modelling and Multi-Objective Optimization of Electro Discharge Machining Process Parameters for Sustainable Production. Energies 2019, 13, 38 .

AMA Style

Misbah Niamat, Shoaib Sarfraz, Wasim Ahmad, Essam Shehab, Konstantinos Salonitis. Parametric Modelling and Multi-Objective Optimization of Electro Discharge Machining Process Parameters for Sustainable Production. Energies. 2019; 13 (1):38.

Chicago/Turabian Style

Misbah Niamat; Shoaib Sarfraz; Wasim Ahmad; Essam Shehab; Konstantinos Salonitis. 2019. "Parametric Modelling and Multi-Objective Optimization of Electro Discharge Machining Process Parameters for Sustainable Production." Energies 13, no. 1: 38.

Journal article
Published: 04 December 2019 in Energies
Reads 0
Downloads 0

Laser drilling is a high-speed process that is used to produce high aspect ratio holes of various sizes for critical applications, such as cooling holes in aero-engine and gas turbine components. Hole quality is always a major concern during the laser drilling process. Apart from hole quality, cost and productivity are also the key considerations for high-value manufacturing industries. Taking into account the significance of improving material removal quantity, energy efficiency, and product quality, this study is performed in the form of an experimental investigation and multi-objective optimisation for three different laser drilling processes (single-pulse, percussion, and trepanning). A Quasi-CW fibre laser was used to produce holes in a 1 mm thick IN 718 superalloy. The impacts of significant process parameters on the material removal rate (MRR), specific energy consumption (SEC), and hole taper have been discussed based on the results collected through an experimental matrix that was designed using the Taguchi method. The novelty of this work focuses on evaluating and comparing the performance of laser drilling methods in relation to MRR, SEC, and hole quality altogether. Comparative analysis revealed single-pulse drilling as the best option for MRR and SEC as the MRR value reduces with percussion and trepanning by 99.70% and 99.87% respectively; similarly, percussion resulted in 14.20% higher SEC value while trepanning yielded a six-folds increase in SEC as compared to single-pulse drilling. Trepanning, on the other hand, outperformed the rest of the drilling processes with 71.96% better hole quality. Moreover, optimum values of parameters simultaneously minimising SEC and hole taper and maximising MRR are determined using multi-objective optimisation.

ACS Style

Shoaib Sarfraz; Essam Shehab; Konstantinos Salonitis; Wojciech Suder. Experimental Investigation of Productivity, Specific Energy Consumption, and Hole Quality in Single-Pulse, Percussion, and Trepanning Drilling of IN 718 Superalloy. Energies 2019, 12, 4610 .

AMA Style

Shoaib Sarfraz, Essam Shehab, Konstantinos Salonitis, Wojciech Suder. Experimental Investigation of Productivity, Specific Energy Consumption, and Hole Quality in Single-Pulse, Percussion, and Trepanning Drilling of IN 718 Superalloy. Energies. 2019; 12 (24):4610.

Chicago/Turabian Style

Shoaib Sarfraz; Essam Shehab; Konstantinos Salonitis; Wojciech Suder. 2019. "Experimental Investigation of Productivity, Specific Energy Consumption, and Hole Quality in Single-Pulse, Percussion, and Trepanning Drilling of IN 718 Superalloy." Energies 12, no. 24: 4610.

Journal article
Published: 03 August 2019 in Materials
Reads 0
Downloads 0

The sugar mill roller shaft is one of the critical parts of the sugar industry. It requires careful manufacturing and testing in order to meet the stringent specification when it is used for applications under continuous fatigue and wear environments. For heavy industry, the manufacturing of such heavy parts (>600 mm diameter) is a challenge, owing to ease of occurrence of surface/subsurface cracks and inclusions that lead to the rejection of the final product. Therefore, the identification and continuous reduction of defects are inevitable tasks. If the defect activity is controlled, this offers the possibility to extend the component (sugar mill roller) life cycle and resistance to failure. The current study aims to explore the benefits of using ultrasonic testing (UT) to avoid the rejection of the shaft in heavy industry. This study performed a rigorous evaluation of defects through destructive and nondestructive quality checks in order to detect the causes and effects of rejection. The results gathered in this study depict macro-surface cracks and sub-surface microcracks. The results also found alumina and oxide type non-metallic inclusions, which led to surface/subsurface cracks and ultimately the rejection of the mill roller shaft. A root cause analysis (RCA) approach highlighted the refractory lining, the hot-top of the furnace and the ladle as significant causes of inclusions. The low-quality flux and refractory lining material of the furnace and the hot-top, which were possible causes of rejection, were replaced by standard materials with better quality, applied by their standardized procedure, to prevent this problem in future production. The feedback statistics, evaluated over more than one year, indicated that the rejection rate was reduced for defective production by up to 7.6%.

ACS Style

Muhammad Jamil; Aqib Mashood Khan; Hussien Hegab; Shoaib Sarfraz; Neeraj Sharma; Mozammel Mia; Munish Kumar Gupta; Gulong Zhao; H. Moustabchir; Catalin I. Pruncu. Internal Cracks and Non-Metallic Inclusions as Root Causes of Casting Failure in Sugar Mill Roller Shafts. Materials 2019, 12, 2474 .

AMA Style

Muhammad Jamil, Aqib Mashood Khan, Hussien Hegab, Shoaib Sarfraz, Neeraj Sharma, Mozammel Mia, Munish Kumar Gupta, Gulong Zhao, H. Moustabchir, Catalin I. Pruncu. Internal Cracks and Non-Metallic Inclusions as Root Causes of Casting Failure in Sugar Mill Roller Shafts. Materials. 2019; 12 (15):2474.

Chicago/Turabian Style

Muhammad Jamil; Aqib Mashood Khan; Hussien Hegab; Shoaib Sarfraz; Neeraj Sharma; Mozammel Mia; Munish Kumar Gupta; Gulong Zhao; H. Moustabchir; Catalin I. Pruncu. 2019. "Internal Cracks and Non-Metallic Inclusions as Root Causes of Casting Failure in Sugar Mill Roller Shafts." Materials 12, no. 15: 2474.

Journal article
Published: 31 July 2019 in Robotics and Computer-Integrated Manufacturing
Reads 0
Downloads 0

Assembly Lines (ALs) are used for mass production as they offer lots of advantages over other production systems in terms of lead time and cost. The advent of mass customization has forced the manufacturing industries to update to Mixed-Model Assembly Lines (MMALs) but at the cost of increased complexity. In the real world, industries need to determine the sequence of models based on various conflicting performance measures/criteria. This paper investigates the Multi-Criteria Model Sequencing Problem (MC-MSP) using a modified simulation integrated Smart Multi-Criteria Nawaz, Enscore, and Ham (SMC-NEH) algorithm. To address the multiple criteria, a modified simulation integrated Smart Multi-Criteria Nawaz, Enscore, and Ham (SMC-NEH) algorithm was developed by integrating a priori approach with NEH algorithm. Discrete Event Simulation (DES) was used to evaluate each solution. A mathematical model was developed for three criteria: flow time, makespan and idle time. Further, to validate the effectiveness of the proposed SMC-NEH a case study and Taillard's benchmark instances were solved and a Multi-Criteria Decision-Making (MCDM) analysis was performed to compare the performance of the proposed SMC-NEH algorithm with the traditional NEH algorithm and its variants. The results showed that the proposed SMC-NEH algorithm outperformed the others in optimizing the conflicting multi-criteria problem.

ACS Style

Mudassar Rauf; Zailin Guan; Shoaib Sarfraz; Jabir Mumtaz; Essam Shehab; Mirza Jahanzaib; Muhammad Hanif. A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines. Robotics and Computer-Integrated Manufacturing 2019, 61, 101844 .

AMA Style

Mudassar Rauf, Zailin Guan, Shoaib Sarfraz, Jabir Mumtaz, Essam Shehab, Mirza Jahanzaib, Muhammad Hanif. A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines. Robotics and Computer-Integrated Manufacturing. 2019; 61 ():101844.

Chicago/Turabian Style

Mudassar Rauf; Zailin Guan; Shoaib Sarfraz; Jabir Mumtaz; Essam Shehab; Mirza Jahanzaib; Muhammad Hanif. 2019. "A smart algorithm for multi-criteria optimization of model sequencing problem in assembly lines." Robotics and Computer-Integrated Manufacturing 61, no. : 101844.

Research article mechanical engineering
Published: 08 July 2019 in Arabian Journal for Science and Engineering
Reads 0
Downloads 0

Electrical discharge machining is a non-traditional machining method broadly employed in industries for machining of parts that have typical profiles and require great accuracy. This paper investigates the effects of electrical parameters: pulse-on-time and current on three performance measures (material removal rate, microstructures and electrode wear rate), using distilled water and kerosene as dielectrics. A comparison between dielectrics for the machining of aluminum 6061 T6 alloy material in terms of performance measures was performed. Aluminum 6061 T6 alloy material was selected, because of its growing use in the automotive and aerospace industrial sectors. The experimental sequence was designed using Taguchi technique of L9 orthogonal array by changing three levels of pulse-on-time and current, and test runs were performed separately for each dielectric. The results obtained show that greater electrode wear rate (EWR) and higher material removal rate (MRR) were achieved with distilled water when compared with kerosene. These greater EWR and MRR responses can be attributed to the early breakage of the weak oxide and carbide layers formed on the tool and alloy material surfaces, respectively. The innovative contributions of this study include, but are not limited to, the possibility of machining of aluminum 6061 T6 alloy with graphite electrode to enhance machinability and fast cutting rate employing two different dielectrics.

ACS Style

Misbah Niamat; Shoaib Sarfraz; Essam Shehab; Sikiru Oluwarotimi Ismail; Qazi Salman Khalid. Experimental Characterization of Electrical Discharge Machining of Aluminum 6061 T6 Alloy using Different Dielectrics. Arabian Journal for Science and Engineering 2019, 44, 8043 -8052.

AMA Style

Misbah Niamat, Shoaib Sarfraz, Essam Shehab, Sikiru Oluwarotimi Ismail, Qazi Salman Khalid. Experimental Characterization of Electrical Discharge Machining of Aluminum 6061 T6 Alloy using Different Dielectrics. Arabian Journal for Science and Engineering. 2019; 44 (9):8043-8052.

Chicago/Turabian Style

Misbah Niamat; Shoaib Sarfraz; Essam Shehab; Sikiru Oluwarotimi Ismail; Qazi Salman Khalid. 2019. "Experimental Characterization of Electrical Discharge Machining of Aluminum 6061 T6 Alloy using Different Dielectrics." Arabian Journal for Science and Engineering 44, no. 9: 8043-8052.

Research article
Published: 22 April 2019 in Advances in Mechanical Engineering
Reads 0
Downloads 0

Parametric modelling and optimisation play an important role in choosing the best or optimal cutting conditions and parameters during machining to achieve the desirable results. However, analysis of optimisation of minimum quantity lubrication–assisted milling process has not been addressed in detail. Minimum quantity lubrication method is very effective for cost reduction and promotes green machining. Hence, this article focuses on minimum quantity lubrication–assisted milling machining parameters on AISI 1045 material surface roughness and power consumption. A novel low-cost power measurement system is developed to measure the power consumption. A predictive mathematical model is developed for surface roughness and power consumption. The effects of minimum quantity lubrication and machining parameters are examined to determine the optimum conditions with minimum surface roughness and minimum power consumption. Empirical models are developed to predict surface roughness and power of machine tool effectively and accurately using response surface methodology and multi-objective optimisation genetic algorithm. Comparison of results obtained from response surface methodology and multi-objective optimisation genetic algorithm depict that both measured and predicted values have a close agreement. This model could be helpful to select the best combination of end-milling machining parameters to save power consumption and time, consequently, increasing both productivity and profitability.

ACS Style

Jabir Mumtaz; Zhang Li; Muhammad Imran; Lei Yue; Mirza Jahanzaib; Shoaib Sarfraz; Essam Shehab; Sikiru Oluwarotimi Ismail; Kaynat Afzal. Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm. Advances in Mechanical Engineering 2019, 11, 1 .

AMA Style

Jabir Mumtaz, Zhang Li, Muhammad Imran, Lei Yue, Mirza Jahanzaib, Shoaib Sarfraz, Essam Shehab, Sikiru Oluwarotimi Ismail, Kaynat Afzal. Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm. Advances in Mechanical Engineering. 2019; 11 (4):1.

Chicago/Turabian Style

Jabir Mumtaz; Zhang Li; Muhammad Imran; Lei Yue; Mirza Jahanzaib; Shoaib Sarfraz; Essam Shehab; Sikiru Oluwarotimi Ismail; Kaynat Afzal. 2019. "Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm." Advances in Mechanical Engineering 11, no. 4: 1.

Journal article
Published: 21 February 2019 in Energies
Reads 0
Downloads 0

Considering the significance of improving the energy efficiency, surface quality and material removal quantity of machining processes, the present study is conducted in the form of an experimental investigation and a multi-objective optimization. The experiments were conducted by face milling AISI 1045 steel on a Computer Numerical Controlled (CNC) milling machine using a carbide cutting tool. The Cu-nano-fluid, dispersed in distilled water, was impinged in small quantity cooling lubrication (SQCL) spray applied to the cutting zone. The data of surface roughness and active cutting energy were measured while the material removal rate was calculated. A multi-objective optimization was performed by the integration of the Taguchi method, Grey Relational Analysis (GRA), and the Non-Dominated Sorting Genetic Algorithm (NSGA-II). The optimum results calculated were a cutting speed of 1200 rev/min, a feed rate of 320 mm/min, a depth of cut of 0.5 mm, and a width of cut of 15 mm. It was also endowed with a 20.7% reduction in energy consumption. Furthermore, the use of SQCL promoted sustainable manufacturing. The novelty of the work is in reducing energy consumption under nano fluid assisted machining while paying adequate attention to material removal quantity and the product’s surface quality.

ACS Style

Aqib Mashood Khan; Muhammad Jamil; Konstantinos Salonitis; Shoaib Sarfraz; Wei Zhao; Ning He; Mozammel Mia; Guolong Zhao. Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling. Energies 2019, 12, 710 .

AMA Style

Aqib Mashood Khan, Muhammad Jamil, Konstantinos Salonitis, Shoaib Sarfraz, Wei Zhao, Ning He, Mozammel Mia, Guolong Zhao. Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling. Energies. 2019; 12 (4):710.

Chicago/Turabian Style

Aqib Mashood Khan; Muhammad Jamil; Konstantinos Salonitis; Shoaib Sarfraz; Wei Zhao; Ning He; Mozammel Mia; Guolong Zhao. 2019. "Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling." Energies 12, no. 4: 710.

Journal article
Published: 01 January 2019 in International Journal of Machining and Machinability of Materials
Reads 0
Downloads 0

The emerging grave consequences of conventional coolants on health, ecology and product quality, have pushed the scientific research to explore eco-friendly lubrication technique. Electrostatic minimum quantity lubrication (EMQL) has been underscored as a burgeoning technology to cut-down bete noire impacts in machining. This research confers the adoption of a negatively charged cold mist of air-castor oil employed in turning of aluminium-6061T6 material by varying the cutting conditions, as per experimental designed through response surface methodology (RSM). For comprehensive sagacity, a range of cutting speed, feed, depth of cut and EMQL-flow rate were considered. Material removal rate, tool life, surface roughness and power consumption of machine tool were adopted as performance measures. To satisfy multi-criterion simultaneously, RSM-based grey relational analysis (GRA) was employed for multi-objective optimisation. Highest proportion of grey relational grade (GRG) as a single desideratum response function, provided a trade-off between performance measures with 15.56% improvement in GRG.

ACS Style

Muhammad Jamil; Aqib Mashood Khan; Ning He; Ang Li; Wei Zhao; Shoaib Sarfraz. Multi-response optimisation of machining aluminium-6061 under eco-friendly electrostatic minimum quantity lubrication environment. International Journal of Machining and Machinability of Materials 2019, 21, 459 .

AMA Style

Muhammad Jamil, Aqib Mashood Khan, Ning He, Ang Li, Wei Zhao, Shoaib Sarfraz. Multi-response optimisation of machining aluminium-6061 under eco-friendly electrostatic minimum quantity lubrication environment. International Journal of Machining and Machinability of Materials. 2019; 21 (5/6):459.

Chicago/Turabian Style

Muhammad Jamil; Aqib Mashood Khan; Ning He; Ang Li; Wei Zhao; Shoaib Sarfraz. 2019. "Multi-response optimisation of machining aluminium-6061 under eco-friendly electrostatic minimum quantity lubrication environment." International Journal of Machining and Machinability of Materials 21, no. 5/6: 459.

Journal article
Published: 01 January 2017 in Procedia CIRP
Reads 0
Downloads 0

Diesinker electric discharge machining is widely used non-conventional technique for making high precision and complex shaped parts. Dielectrics and electrical parameters were considered as the main factors for EDM performance. In this paper, the effects of pulse-on-time (μs) and current (ampere) were evaluated for performance measures using kerosene and water as dielectrics. A comparison was performed for both dielectrics in terms of material removal rate (mm3/min), electrode wear rate (mm3/min), and microstructures. Aluminum 6061 T6 alloy was used as material for this research due to its extensive use in aerospace and automotive industries. Experiments were designed using Taguchi L9 orthogonal array (OA). Time series graphs were plotted to compare material removal rate and electrode wear rate. Microstructures were taken by scanning electron microscope to analyze the surface produced in terms of cracks, globules and micro-holes. Higher material removal rate and lower electrode wear were achieved with kerosene dielectric. The novelty of this research work, apart from its practical application, is that Aluminum 6061 T6 alloy is used as work material to compare the performance of dielectrics (kerosene and distilled water). Paper presented at: Complex Systems Engineering and Development Proceedings of the 27th CIRP Design Conference Cranfield University, UK 10th – 12th May 2017

ACS Style

Misbah Niamat; Shoaib Sarfraz; Muhammad Haris Aziz; Mirza Jahanzaib; Essam Shehab; Wasim Ahmad; Salman Hussain. Effect of Different Dielectrics on Material Removal Rate, Electrode Wear Rate and Microstructures in EDM. Procedia CIRP 2017, 60, 2 -7.

AMA Style

Misbah Niamat, Shoaib Sarfraz, Muhammad Haris Aziz, Mirza Jahanzaib, Essam Shehab, Wasim Ahmad, Salman Hussain. Effect of Different Dielectrics on Material Removal Rate, Electrode Wear Rate and Microstructures in EDM. Procedia CIRP. 2017; 60 ():2-7.

Chicago/Turabian Style

Misbah Niamat; Shoaib Sarfraz; Muhammad Haris Aziz; Mirza Jahanzaib; Essam Shehab; Wasim Ahmad; Salman Hussain. 2017. "Effect of Different Dielectrics on Material Removal Rate, Electrode Wear Rate and Microstructures in EDM." Procedia CIRP 60, no. : 2-7.

Original article
Published: 23 August 2016 in The International Journal of Advanced Manufacturing Technology
Reads 0
Downloads 0

This research aims to investigate the effects of as-casted and proposed in situ heat-treated squeeze casting of Al-3.5 % Cu alloy. The effects of squeeze pressure, melt temperature and die temperature on ultimate tensile strength, percentage elongation and hardness were modelled and analysed for as-casted and in situ heat-treated squeeze casting using the Box-Behnken design. Response surface methodology was used for experimental design, empirical modelling and analysis. Adequacy and validation of the developed models were verified using ANOVA and confirmation experiments, respectively. The results revealed squeeze pressure as the most significant input variable followed by die temperature under as-casted and in situ heat-treated squeeze casting conditions. The comparative analysis suggested in situ heat-treated squeeze casting conditions as the best alternative which resulted in 7.9~11, 6.7~25.7, and 2.2~7.7 % improvement for ultimate tensile strength, percentage elongation and hardness, respectively. A considerable increase in mechanical properties provided a great evidence to reveal a new technique for foundry men to enhance the quality of squeeze casted Al-Cu alloys. Furthermore, the empirical model will aid practitioners to predict the desired mechanical properties prior to examination.

ACS Style

Shoaib Sarfraz; Mirza Jahanzaib; Ahmad Wasim; Salman Hussain; Muhammad Haris Aziz. Investigating the effects of as-casted and in situ heat-treated squeeze casting of Al-3.5 % Cu alloy. The International Journal of Advanced Manufacturing Technology 2016, 89, 3547 -3561.

AMA Style

Shoaib Sarfraz, Mirza Jahanzaib, Ahmad Wasim, Salman Hussain, Muhammad Haris Aziz. Investigating the effects of as-casted and in situ heat-treated squeeze casting of Al-3.5 % Cu alloy. The International Journal of Advanced Manufacturing Technology. 2016; 89 (9-12):3547-3561.

Chicago/Turabian Style

Shoaib Sarfraz; Mirza Jahanzaib; Ahmad Wasim; Salman Hussain; Muhammad Haris Aziz. 2016. "Investigating the effects of as-casted and in situ heat-treated squeeze casting of Al-3.5 % Cu alloy." The International Journal of Advanced Manufacturing Technology 89, no. 9-12: 3547-3561.