Comparative Assessment of Different Optimization Techniques for Turning Operations.

Elsanabary, Samar Abbas; Elkaseer, Ahmed Ibrahim; Abd-Rabbo, Saber Mahmoud; Ali, Mohamed AbdElsalam; Abdou, Shabaan Mohamed Ibrahim

doi:10.21608/bfemu.2020.96288

Comparative Assessment of Different Optimization Techniques for Turning Operations.

Document Type : Research Studies

Authors

¹ Prod. Eng. & Mech. Design Depart., Faculty of Eng., Port Said Uni.

² Assistant Prof. of Production Eng., Faculty of Eng., Port Said University

³ Prof. of Production Eng., Faculty of Eng., Shoubra, Benha University.

⁴ Prof. of Production Eng., Faculty of Eng., Ain Shams University.

⁵ Prof. of Production Technology, Faculty of Eng., Port Said University.

10.21608/bfemu.2020.96288

Abstract

This paper presents a comparative study that was conducted aiming at evaluating three different optimization techniques; namely, linguistic Fuzzy Logic Control (FLC), Sequential Quadratic Programming (SQP), and the Bees Algorithm. Initially, a well-constructed deterministic model of the turning operation was utilized to feed two optimization techniques, (SQP) and the Bees Algorithm. The results were assessed and compared with those already obtained using (FLC) method that was published in the literature. The study outcomes revealed that, although The Bees Algorithm gave acceptable output, the (SQP) technique identified the optimal cutting conditions. As a result, one can argue that the (SQP) is the best technique to tackle such deterministic optimization problem. This is especially true when compared with the performance of the other two methods examined within this study.

Keywords