Soft Computing Techniques for the Optimization of Machining Parameter in CNC Turning Operation

نویسندگان

  • S. K. Saini
  • S. K. Pradhan
چکیده

Due to global competition in manufacturing industries scenario the conventional machining processes have been replaced by advanced non conventional machining process. Several advanced non-conventional machine tools are available specifically computer numerical control (CNC) turning is the major used machine tool in metal based industries. Now days, due to the increasing demand of the higher precision components for its functional aspect, surface roughness of a machined part plays an important role in the modern manufacturing process. To get the minimum surface roughness various turning parameter like cutting speed, depth of cut, feed rate, metal removal rate (MRR) and tool geometry etc. are required among all these parameter optimal parameter are determined by using various optimization techniques. Productivity as well as quality both has a similar impact on final product. This paper describes various optimization studies and the literature review for the influence of CNC turning parameter on surface roughness as well as other response variables. Keywords— Turning machining parameter, Optimization techniques, CNC machine tool.

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تاریخ انتشار 2014