Subject Area
Production Engineering and Mechanical Design
Article Type
Original Study
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
Optimization techniques; Turning Model; Linguistic Fuzzy Logic Control (FLC); Sequential Quadratic Programming (SQP); the Bees Algorithm
Recommended Citation
Elsanabary, Samar; Elkaseer, Ahmed; Abd-Rabbo, Saber; Ali, Mohamed; and Abdou, Shabaan
(2021)
"Comparative Assessment of Different Optimization Techniques for Turning Operations.,"
Mansoura Engineering Journal: Vol. 40
:
Iss.
5
, Article 17.
Available at:
https://doi.org/10.21608/bfemu.2020.96288