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research-article

Stochastic analysis of microgrinding tool topography and its role in surface generation

[+] Author and Article Information
S Anandita

Department of Mechanical Engineering Indian Institute of Technology, Bombay Mumbai 400076, India
s_anandita@iitb.ac.in

Rakesh Mote

Department of Mechanical Engineering Indian Institute of Technology, Bombay Mumbai 400076, India
rakesh.mote@iitb.ac.in

Ramesh Singh

ASME Member Department of Mechanical Engineering Indian Institute of Technology, Bombay Mumbai 400076, India
rsingh@iitb.ac.in

1Corresponding author.

ASME doi:10.1115/1.4038056 History: Received March 31, 2017; Revised September 26, 2017

Abstract

With the rising trend of miniaturization in modern industries, micro manufacturing processes have slowly made their way into the land of conventional machining. Demands of high precision along with super finish of the final machined product have started rising. Grinding, being largely considered as a finishing operation has large potential to cater to such requirements of micro manufacturing. However, stochastic nature of the grinding wheel topography results in a high degree of variation in the output responses especially in the case of microgrinding. With an aim to obtain a good and predictable surface finish in brittle materials, the current study aims at developing a surface generation model for micro wall grinding of hard and brittle materials. Tool topographical features such as grit protrusion height, intergrit spacing and grit distribution on the tool tip of a microgrinding pin has been calculated from the known mesh size of the grits used during tool manufacturing. Kinematic analysis of surface grinding has been extended to the case of micro wall grinding and each grit trajectory has been predicted. The kinematic analysis has been done by taking into consideration the effect of tool topographical features and the process parameters on the ground surface topography. Detailed analysis of the interaction of the grit trajectories is done to predict the final surface profile. The predicted surface roughness has been validated with the experimental results to provide an insight to the surface quality that can be produced for a given tool topography.

Copyright (c) 2017 by ASME
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