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Optimization of the Cutting Parameters of SS 304 for CNC Turning Operation

Quality and productivity play significant role in today’s manufacturing market. Quality of a product can be described by various quality attributes. The attributes may be quantitative or qualitative. In on-line quality control controller and related equipments are provided with the job under operation and continuously the quality is being monitored. If quality falls down the expected level the controller supplies a feedback in order to reset the process environment. In off-line quality control the method is either to check the quality of few products from a batch or lot (acceptance sampling) or to evaluate the best process environment capable of producing desired quality product. This invites optimization problem which seeks identification of the best process condition or parametric combination for the said manufacturing process [2]. If the problem is related to a single quality attribute then it is called single objective (or response) optimization. If more than one attribute comes into consideration it is very difficult to select the optimal setting which can achieve all quality requirements simultaneously. Otherwise optimizing one quality feature may lead severe quality loss to other quality characteristics which may not be accepted by the customers. In order to tackle such a multi-objective optimization problem, the present study applied extended Taguchi method. The study aimed at evaluating the best process environment which could simultaneously satisfy requirements of both quality and as well as productivity. This study investigates the effects of various parameters such as depth of cut, speed and feed on the material removal rate and surface roughness of the SS304 in a CNC turning machine.



Real Time Impact Factor: Pending

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Keywords: SS304, Taguchis DOE, CNC,S/N ratio,ANICA,Regression

ISSN: 2349-2163

EISSN: 2349-2163


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