Effect of MQL on roughness, white layer and microhardness in hard turning of AISI 52100

Author:

Pradeep Allu Venkat1,Dumpala Lingaraju2,Ramakrishna Shinagam3

Affiliation:

1. Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Kakinada, India; Department of Mechanical Engineering, Vignan’s Institute of Engineering for Women, Visakhapatnam, India

2. Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Kakinada, India

3. Department of Mechanical Engineering, Gayatri Vidhya Parishad College of Engineering, Visakhapatnam, India

Abstract

The influence of turning parameters on the surface integrity of the workpiece in hard turning of AISI 52100 steel using minimum quantity lubrication (MQL), was investigated in this work. The cutting parameters considered were cutting speed, feed, depth of cut and tool nose radius, at three levels each. Response surface methodology was employed to study the influence of factors on surface roughness, microhardness, topography, white layer thickness and elemental composition. From model analysis, the microhardness and surface roughness were best predicted by quadratic regression models, whereas white layer thickness was best evaluated by a linear model. The variance analysis revealed that surface roughness was significantly affected by nose radius (33·83%), followed by feed (32·5%). It was observed that surface defects were reduced with an increase in cutting speed. Microhardness was majorly affected by feed (36·64%), followed by nose radius (32·88%). The white layer thickness ranged from 4·3 to 15·9 μm for all experiments. White layer thickness was significantly influenced by nose radius (82·24%), cutting speed (9·78%) and feed (1·23%). Energy-dispersive X-ray spectroscopy analysis of the machined workpiece at a cutting speed of 150 m/min validated that oxidation was instigated and the weight percent of carbon was augmented in the base metal.

Publisher

Thomas Telford Ltd.

Subject

Condensed Matter Physics,General Materials Science

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