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Parameter optimization in wire electrical discharge machining using bio-inspired algorithms and response surface methodology
Wire electrical discharge machining (WEDM) is a highly regarded machining approach for its exceptional accuracy and adaptability, there is a need to further enhance its performance by optimizing critical process parameters. The objective is to examine the optimized setting of WEDM parameters with a focus on improving key performance metrics such as material removal rate (MRR), surface roughness (SR), and taper angle (TA). The desired responses are greatly influenced by critical process parameters, including pulse ON Time (50–60 μs), pulse OFF Time (25–34 μs), gap voltage (25–250 V), peak current (1–6 A), and dielectric flow rate (1–3 LPM). This study investigates the use of novel bio-inspired optimization algorithms, namely the African vulture optimization algorithm (AVOA), Firefly algorithm (FA), and cuckoo search algorithm (CSA), for optimizing process parameters in WEDM. The results are compared with the RSM approach. It was found that a significant reduction in MRR of 57.97%, an increase in TA of 6.21%, followed by enhancement in the surface finish of 22.98% attained with AVOA. The optimal parameters obtained with AVOA are TON of 51 μs, TOFF of 30 μs, peak current of 1 A, gap voltage of 116 V, and dielectric flow rate of 3 LPM. The integration of the RSM with bio-inspired algorithms in the manufacturing domain can be implemented in the manufacturing industries.
Parameter optimization in wire electrical discharge machining using bio-inspired algorithms and response surface methodology
Wire electrical discharge machining (WEDM) is a highly regarded machining approach for its exceptional accuracy and adaptability, there is a need to further enhance its performance by optimizing critical process parameters. The objective is to examine the optimized setting of WEDM parameters with a focus on improving key performance metrics such as material removal rate (MRR), surface roughness (SR), and taper angle (TA). The desired responses are greatly influenced by critical process parameters, including pulse ON Time (50–60 μs), pulse OFF Time (25–34 μs), gap voltage (25–250 V), peak current (1–6 A), and dielectric flow rate (1–3 LPM). This study investigates the use of novel bio-inspired optimization algorithms, namely the African vulture optimization algorithm (AVOA), Firefly algorithm (FA), and cuckoo search algorithm (CSA), for optimizing process parameters in WEDM. The results are compared with the RSM approach. It was found that a significant reduction in MRR of 57.97%, an increase in TA of 6.21%, followed by enhancement in the surface finish of 22.98% attained with AVOA. The optimal parameters obtained with AVOA are TON of 51 μs, TOFF of 30 μs, peak current of 1 A, gap voltage of 116 V, and dielectric flow rate of 3 LPM. The integration of the RSM with bio-inspired algorithms in the manufacturing domain can be implemented in the manufacturing industries.
Parameter optimization in wire electrical discharge machining using bio-inspired algorithms and response surface methodology
Int J Interact Des Manuf
Mohanraj, T. (author) / Thenarasu, M. (author) / Ragaventhra, B. Shree (author) / Pavilan, P. (author) / Jaswant, S. (author) / Kumar, R. Sandeep (author) / Panchu, K. Padmanabhan (author)
2025-02-01
28 pages
Article (Journal)
Electronic Resource
English
WEDM parameters , African vulture optimization algorithm , Firefly algorithm , Cuckoo search algorithm , Bio-inspired algorithm , RSM Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
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