Using TOPSIS method for selecting optimal refinement condition to achieve maximum tensile properties of Al-15%Mg2Si composite
Publish place: 1st International and 6th Joint Conference of Iranian Society of Metallurgical Engineers and the scientific community of Casting
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,026
This Paper With 11 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
IMES06_549
تاریخ نمایه سازی: 8 بهمن 1391
Abstract:
In recent years, in situ Al-Mg2Si composites have been introduced as a new group of particulate metal matrix composites which contain hard particles of Mg2Si in Al-matrix. Unfortunately, coarsening ofMg2Si particles deteriorates the mechanical properties so that it is an important obstacle for the wideapplication of this type of composites. Our previous investigations depicted that the addition of Na and Mn as alloying elements and solution treatment in the different range of temperature can refineAl-Mg2Si composite structure and improve tensile properties. Selection of the optimal refinement condition to achieve maximum tensile properties of Al-15%Mg2Si composite is a multiple attribute decision making (MADM) problem where some criteria must be considered in decision making. In present research, technique for order preference by similarity to ideal solution (TOPSIS) method isemployed in solving the case study problem. Weights of each criterion are determined by using an analytic hierarchy process (AHP) method. Empirical findings in this study represented that TOPSIS method might lead to the choice of refined Al-15%Mg2Si via solution treatment at 450 ˚C as the preferred alternative
Keywords:
Authors
R Khorshidi
PhD student, Faculty of Materials Science and Engineering, Semnan University, Semnan, Iran,
A Hasani
Assistant professor, Faculty of Materials Science and Engineering, Semnan University, Semnan
A. Honarbakhsh Rauof
Associated professor, Faculty of Materials Science and Engineering, Semnan University
M. Emamy
Full professor, School of Metallurgy and Materials, 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 :