چکیده مقاله
In turning process, determination of the optimal tool geometry and cutting parameters in order to improve the surface quality and reduce the production cost is vital In this paper, based on experimental results and statistical analysis, one of the most important characteristic surface quality in turning process on micro alloy steels has been modeled and optimized The process input parameters consist of cutting speed, feed rate, depth of cut, clearance angle and tool radius The experiments have been carried out on micro alloy 30SMV6 steel and they have been based on Taguchi experimental design approach Then regression functions including linear, quadratic and logarithmic models have been fit on the experimental data Then the best and most fitted model was selected based on the results of statistical analysis The statistical analysis showed that the linear model for surface quality is the best ones In the next step of the research, simulated annealing SA algorithm has been employed to determine the optimal levels to reach the best surface quality Finally, for validation test has been performed, and the results showed that the proposed method is quite efficient in modeling and optimization of turning process
کلیدواژهها
نویسندگان
Ali Reza Nikravan
Department of Mechanical Engineering, Technical and vocational University
فرهاد کلاهان
Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
شیوه ارجاع
Nikravan, Ali Reza and Kolahan, Farhad,1398,Modeling and optimization of surface quality in turning process on micro-alloy steels using Taguchi method and simulated annealing algorithm,International Conference on Manufacturing Engineering,Tehran
ارائهشده در
مجموعه مقالات شانزدهمین همایش ملی و پنجمین کنفرانس بین المللی مهندسی ساخت و تولید27 آذر 1398 · تهران