Simultaneously Modeling and Optimization of Heat Affected Zone and Tensile Strength in GTAW Process Using Simulated Annealing Algorithm
محل انتشار: فصلنامه مواد پیشرفته و فرآوری، دوره: 9، شماره: 2
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 160
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:
JR_JMATPR-9-2_005
تاریخ نمایه سازی: 16 اسفند 1400
چکیده مقاله:
In the present study, a technique has been addressed in order to model and optimize gas tungsten arc welding (GTAW) process which is one of the mostly used welding processes based on the high quality fabrication acquired. The effects of GTAW process variables on the joint quality of AISI۳۰۴ stainless steel thin sheets (۰.۵ mm) have been investigated. The required data for modeling and optimization purposes has been gathered using Taguchi design of experiments (DOE) technique. Next, based on the acquired data, the modeling procedure has been performed using regression functions for two outputs; namely, heat affected zone (HAZ) width and ultimate tensile stress (UTS). Then, analysis of variance (ANOVA) has been performed in order to select the most fitted proposed models for single-objective and multi-criteria optimization of the process in such a way that UTS is maximized and HAZ width minimized using simulated annealing (SA) algorithm. Frequency, welding speed, base current and welding current are the most influential variables affecting the UTS at ۲۲%, ۲۱%, ۲۰% and ۱۷% respectively. Similarly, base current, welding current, frequency and welding speed affect the HAZ at ۲۸%, ۲۰%, ۱۶%, and ۱۵% respectively. Based on the results considering the lowest values for current results in the smallest amount of HAZ. By the same token in order to acquire the largest amount of UTSs the highest values of current must be considered. Setting welding and base current, frequency, speed, and debi at ۴۲ and ۵ apms, ۴۶ Hz, ۰.۴۴۹۵ m/min, and ۵ lit/min respectively resulted the optimized HAZ and UTS simultaneously. The proper performance of the proposed optimization method has been proved through comparison between computational results and experimental data with less than ۶% error.
کلیدواژه ها:
Thin sheet ، gas tungsten arc welding (GTAW) process ، Optimization ، Simulated annealing (SA) algorithm
نویسندگان
Meysam Beytolamani
Graduate Student, Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Masoud Azadi Moghaddam
PhD. Candidate, Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Farhad Kolahan
Associate Professor, Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :