Application of Orthogonal Array Technique and Simulated Annealing Algorithm in Surface Modification When EDM Hot Worked Steel
محل انتشار: کنفرانس بین المللی مدیریت و مهندسی صنایع
سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 811
فایل این مقاله در 10 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICMI01_250
تاریخ نمایه سازی: 20 دی 1394
چکیده مقاله:
The last decade has seen an increasing interest in the novel applications of electrical discharge machining (EDM) process, with particular emphasis on the potential of this process for surface modification. Besides erosion of work material during machining, the intrinsic nature of the process results in removal of some tool material also. This paper proposes an optimization methodology for the selection of best process parameters in electro discharge machining for surface modification of 04CrMnMoS68 hot worked steel parts. The experimental data are gathered based on Taguchi L38 design matrix. The tests are conducted under varying peak current (I), voltage (V), pulse on time (Ton), pulse off time (Toff) and duty factor ().The effects of these input parameters are then determined on the most important process output response, surface roughness (SR). Using these data and the simulated annealing algorithm, the process parameters can be set to achieve desired surface roughness. Next, analysis of variance (ANOVA) and F–test have been used to evaluate the relative significance of process variables affecting process outputs. A verification test is also performed to verify the accuracy of optimization procedure in determining the optimal levels of machining parameters. The results indicate that Taguchi technique and simulated annealing algorithm are quite efficient in determining optimal process parameters for optimization of surface finish in EDM.
کلیدواژه ها:
Taguchi technique ، Electrical Discharge Machining ، Optimization ، simulated annealing algorithm (SA) ، Analysis of variance
نویسندگان
Masoud Azadi Moghaddam
Ph.D. Student, Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Farid Eilchi
M.SC. Student, Sari Branch, Islamic Azad University Sari, Sari, Iran
Farhad Kolahan
Associate Professor, Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran