Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis
نویسندگان
چکیده
منابع مشابه
Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis
Optimization of multi-criteria problems is a great need of producers to produce precision parts with low costs. Optimization of multi-performance characteristics is more complex compared to optimization of single-performance characteristics. The theory of grey system is a new technique for performing prediction, relational analysis, and decision making in many areas. In this paper, the use of g...
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Nowadays, in order to reach minimum production cost in machining operations, various optimization methods have been proposed. Since turning operation has different parameters affecting the workpiece quality, it was selected as a complicated manufacturing method in this paper. To reach sufficient quality, all influencing parameters such as cutting speed, federate, depth of cut and tool rake angl...
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In-situ aluminum matrix composite is the innovation of high performance material technology and it has superior interfacial integrity and thermodynamic stability between the matrix and reinforcement. During synthesis, the ZrB2 particle is formed by exothermic reaction within the aluminum melt. As a result, small, fine and oxide free reinforcements are formed. Excessive temperature released from...
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متن کاملoptimizing turning operation of st37 steel using grey relational analysis
nowadays, in order to reach minimum production cost in machining operations, various optimization methods have been proposed. since turning operation has different parameters affecting the workpiece quality, it was selected as a complicated manufacturing method in this paper. to reach sufficient quality, all influencing parameters such as cutting speed, federate, depth of cut and tool rake angl...
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ژورنال
عنوان ژورنال: The International Journal of Advanced Manufacturing Technology
سال: 2012
ISSN: 0268-3768,1433-3015
DOI: 10.1007/s00170-011-3857-6