Comparative Assessment of Different Optimization Techniques for Turning Operations. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 17, Volume 40, Issue 5, December 2015, Page 98-107 PDF (668.35 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2020.96288 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Samar Abbas Elsanabary  1; Ahmed Ibrahim Elkaseer2; Saber Mahmoud Abd-Rabbo3; Mohamed AbdElsalam Ali4; Shabaan Mohamed Ibrahim Abdou5
| ||||
| 1Prod. Eng. & Mech. Design Depart., Faculty of Eng., Port Said Uni. | ||||
| 2Assistant Prof. of Production Eng., Faculty of Eng., Port Said University | ||||
| 3Prof. of Production Eng., Faculty of Eng., Shoubra, Benha University. | ||||
| 4Prof. of Production Eng., Faculty of Eng., Ain Shams University. | ||||
| 5Prof. of Production Technology, Faculty of Eng., Port Said University. | ||||
| 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 | ||||
|
Statistics Article View: 113 PDF Download: 218 |
||||
