Optimization of ECMAP parameters in production of ultra-fine grained Al۱۰۵۰ strips using Grey relational analysis
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
View: 112
This Paper With 16 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JMATPR-3-4_004
تاریخ نمایه سازی: 13 مهر 1400
Abstract:
Production of lightweight metals with a higher strength to weight ratio is always the main goal of researchers. In this article, equal channel multi angular pressing (ECMAP) process as one of the most appealing severe plastic deformation (SPD) methods on production of ultra-fine grained (UFG) materials studied. Two main routes A and C investigated by FEM and compared with each other from different aspects of view. ABAQUS commercial software used to evaluate the maximum strain, maximum required force and strain inhomogeneity index in both routes and obtained results of FEM verified by both theoretical calculations and experimental tests. It is inferred that although equivalent plastic strain (PEEQ) in route A is higher than that in route C, the strain homogeneity as a quality factor for route C is higher. So, route C selected for more investigation and optimization. Grey relational analysis used as the optimization method. Geometrical parameters taken as input variables and both inhomogeneity index and maximum required load taken as objectives. Then, the suggested tests by full factorial method were simulated by FEM. After optimization, it was concluded that the best set up belongs to experiment number ۲۰ which the values of Φ۱, ψ۱ and ψ۲ are ۱۶۵°, ۰° and ۱۵°, respectively. Also, it is inferred that among geometrical parameters, die channel angle (Φ۱) is the most effective parameter.
Keywords:
Authors
Peyman Keshtiban
Department of Mechanical Engineering, University of Tabriz, Tabriz, Iran
Mohammad Zadshakouyan
Department of Mechanical Engineering, University of Tabriz
Ghader Faraji
Department of Mechanical Engineering, College of Engineering, University of Tehran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper 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 Paper لینک شده اند :