Experimental study and regression modeling of tool wear in CNC turning operation using soybean based cutting fluid / Posinasetti Nageswara Rao, Julie Zhang and Marry Eckman

Nageswara Rao, Posinasetti and Zhang, Julie and Eckman, Marry (2013) Experimental study and regression modeling of tool wear in CNC turning operation using soybean based cutting fluid / Posinasetti Nageswara Rao, Julie Zhang and Marry Eckman. Journal of Mechanical Engineering, 10 (1). pp. 85-102. ISSN 1823-5514

Abstract

Traditionally petroleum based fluids are widely used in the manufacturing industry. However they are environmentally more harmful as well as cause significant problems to the operators. This paper presents a case study that uses an environmentally friendly soybean based cutting fluid. This experimental study compared the tool wear with dry cutting, using the soybean based cutting fluid and a petroleum based cutting fluid at manufacturer suggested cutting fluid concentrations in a CNC turning operation. It was found that the soybean based cutting fluid provided a comparable performance as that of the petroleum cutting fluid in controlling tool wear. Further experiments were conducted with the soybean based cutting fluid at different concentrations. From the tool wear data collected at different soybean based cutting fluid concentrations a linear regression model was built to predict the tool wear based on the soybean cutting fluid concentration. The manufacturing professionals can utilize this regression model, to analyze the machining process with a view to maximizing the tool life and minimizing the machining cost.

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Metadata

Item Type: Article
Creators:
CreatorsID Num. / Email
Nageswara Rao, PosinasettiUNSPECIFIED
Zhang, JulieUNSPECIFIED
Eckman, MarryUNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Journal or Publication Title: Journal of Mechanical Engineering
ISSN: 1823-5514
Volume: 10
Number: 1
Page Range: pp. 85-102
Item ID: 17614
Uncontrolled Keywords: Soybean based cutting fluid, cutting fluid concentration, tool wear, regression modeling
URI: http://ir.uitm.edu.my/id/eprint/17614

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