Aamer Ahmed Baqai
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Aamer Ahmed Baqai has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Sajid Ullah Butt
Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
5 shared publications - Hasan Aftab Saeed
Department of Mechanical Engineering (CEME), National University of Sciences and Technology (NUST), Sector H-12, Islamabad 46000, Pakistan
2 shared publications - Mamoona Arshad
Department of Mechanical Engineering (CEME), National University of Sciences and Technology (NUST), Islamabad, Pakistan
2 shared publications - Naveed Akmal Din
Department of Mechanical Engineering (CEME), National University of Sciences and Technology (NUST), Islamabad, Pakistan
2 shared publications - Rehan Ahmed Khan
Department of Mechanical Engineering (CEME), National University of Sciences and Technology (NUST), Islamabad, Pakistan
2 shared publications - Syed Maaz Hasan
National University of Sciences and Technology
2 shared publications
Latest Publications
- Open Access
Optimization of Wire Electric Discharge Machining (WEDM) Process Parameters for AISI 1045 Medium Carbon Steel Using Taguchi Design of Experiments
With the growth of the manufacturing industry, the demand for alloy materials with high hardness, toughness, and impact strength has increased. Since products from such alloy materials are extremely difficult to manufacture with high accuracy and reduced surface roughness using traditional machining techniques, wire electric discharge machining can be used to machine such complex parts with more precision. In this case-study-based research, machining factors such as current, pulse-on time, and voltage are studied to determine their effects on the material removal rate for AISI 1045 medium carbon steel. The Taguchi L9 orthogonal array is used in the design of experiments for optimization. Statistical techniques such as analysis of variance and signal-to-noise ratio are used to identify the control parameters that matter most in bringing about optimal results. Based on the results, the current is the most crucial control variable in this investigation. Moreover, the maximum material removal rate obtained was 0.7112 mm3/min with the obtained optimized values of current (I) = 16 A, voltage (V) = 50 V, and pulse-on time (Ton) = 100 µs.
Open AccessOptimization of Wire Electric Discharge Machining (WEDM) Process Parameters for AISI 1045 Medium Carbon Steel Using Taguchi Design of Experiments
With the growth of the manufacturing industry, the demand for alloy materials with high hardness, toughness, and impact strength has increased. Since products from such alloy materials are extremely difficult to manufacture with high accuracy and reduced surface roughness using traditional machining techniques, wire electric discharge machining can be used to machine such complex parts with more precision. In this case-study-based research, machining factors such as current, pulse-on time, and voltage are studied to determine their effects on the material removal rate for AISI 1045 medium carbon steel. The Taguchi L9 orthogonal array is used in the design of experiments for optimization. Statistical techniques such as analysis of variance and signal-to-noise ratio are used to identify the control parameters that matter most in bringing about optimal results. Based on the results, the current is the most crucial control variable in this investigation. Moreover, the maximum material removal rate obtained was 0.7112 mm3/min with the obtained optimized values of current (I) = 16 A, voltage (V) = 50 V, and pulse-on time (Ton) = 100 µs.
- 25 March 2021
- Published by Springer Nature in International Journal of Precision Engineering and Manufacturing
- Vol. 22 (5) , 813-829
Locator Placement Optimization for Minimum Part Positioning Error During Machining Operation Using Genetic Algorithm
- 25 March 2021
- Published by Springer Nature in International Journal of Precision Engineering and Manufacturing
- Vol. 22 (5) , 813-829
Locator Placement Optimization for Minimum Part Positioning Error During Machining Operation Using Genetic Algorithm
- 28 October 2017
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 95 (1-4) , 569-585
Product family formation based on complexity for assembly systems
- 28 October 2017
- Published by Springer Nature in The International Journal of Advanced Manufacturing Technology
- Vol. 95 (1-4) , 569-585
Product family formation based on complexity for assembly systems