Simulation and Optimization Study of Ultra-Precision Turning Process | ||||
| Port-Said Engineering Research Journal | ||||
| Article 14, Volume 20, Issue 1, March 2016, Page 137-147 PDF (1.03 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/pserj.2016.33659 | ||||
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| Authors | ||||
| Samar Elsanabary1; Ahmed Elkaseer2; Saber Abd-Rabbo3; Shaban Abdou4 | ||||
| 1Prod. Eng. & Mech. Design Depart., Faculty of Eng., Port Said University | ||||
| 2Assistant Prof. of Production Eng., Faculty of Eng., Port Said University | ||||
| 3Prof. of Production Eng., Faculty of Eng., Shoubra, Benha University | ||||
| 4Prof. of Production Technology, Faculty of Eng., Port Said University. | ||||
| Abstract | ||||
| This paper presents a simulation and optimization study of the surface generation process in ultra-precision turning using a formerly proposed model by the authors in preceding work. However, the surface generation model was improved by incorporating the effect of cutting speed into the model considerations. Then, a series of simulation trials were undertaken to predict the generated surface roughness over a wide range of cutting conditions. Particularly, two different dual-phase materials, Brass 6040 and medium carbon steel AISI 1045 were examined under ranges of cutting speeds, feed rates in addition to varying geometries of cutting tools. The study was accomplished by conducting an optimization of the process aiming at identifying the optimal cutting conditions for the best possible performance of the process in terms of minimum roughness average (Ra). In particular, two optimization techniques, Sequential Quadratic Programing (SQP) and Genetic Algorithm (GA), were utilized to tackle the enhanced model. The results demonstrated that although cutting speed influenced the process, cutting edge radius was the dominate parameter and feed rate was found to be the second most effective variable. Also, optimization results confirmed the superiority of the GA technique over SQP method to obtain the optimal cutting conditions for minimum roughness | ||||
| Keywords | ||||
| Simulation; Optimization; ultra-precision turning; Surface Roughness Generation; Sequential Quadratic Programming; Genetic Algorithm | ||||
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