Parametric Optimization of Turning Process Using Evolutionary Optimization Techniques-A Review (2000-2016)

被引:8
|
作者
Rana, Parthiv B. [1 ]
Patel, Jigar L. [1 ]
Lalwani, D., I [1 ]
机构
[1] Sardar Vallabhbhai Natl Inst Technol, Mech Engn Dept, Surat, Gujarat, India
来源
关键词
Turning process; Parameter optimization; Evolutionary optimization techniques; GENETIC ALGORITHM; CUTTING PARAMETERS; MULTIOBJECTIVE OPTIMIZATION; SURFACE-ROUGHNESS; MACHINING PARAMETERS; OPERATIONS; PREDICTION;
D O I
10.1007/978-981-13-1595-4_13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Manufacturing is the foundation of any industrialized country that involves making products from raw materials using various processes. Usually, casting and metal forming processes are used to produce most of the parts, and afterword, the parts are machined to obtain the desired size, shape and surface finish. The traditional machining processes, i.e., turning, milling, grinding, drilling, are widely used to obtain the desired product. The proper selection of process parameters is required to produce products at low cost, high quality and within time bound. Therefore, in past, researchers had optimized the process parameters to obtain the desired product. In the present study, the overview of turning process and the review of research related to optimization of turning process using evolutionary optimization techniques are carried out. The review period is selected from the year 2000 to 2016. The present review work is well-organized information in terms of objectives, process parameters, constraints and optimization techniques for optimization of turning process that can be beneficial for succeeding researchers to ascertain the gap in the research.
引用
收藏
页码:165 / 180
页数:16
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