Selection of Levels of Dressing Process Parameters by Using TOPSIS Technique for Surface Roughness of En-31 Work piece in CNC Cylindrical Grinding Machine

Patil, S.S. and Bhalerao, Y.J. ORCID: https://orcid.org/0000-0002-0743-8633 (2017) Selection of Levels of Dressing Process Parameters by Using TOPSIS Technique for Surface Roughness of En-31 Work piece in CNC Cylindrical Grinding Machine. In: IOP Conference Series: Materials Science and Engineering. UNSPECIFIED.

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Abstract

Grinding is metal cutting process used for mainly finishing the automobile components. The grinding wheel performance becomes dull by using it most of times. So it should be reshaping for consistent performance. It is necessary to remove dull grains of grinding wheel which is known as dressing process. The surface finish produced on the work piece is dependent on the dressing parameters in sub-sequent grinding operation. Multi-point diamond dresser has four important parameters such as the dressing cross feed rate, dressing depth of cut, width of the diamond dresser and drag angle of the dresser. The range of cross feed rate level is from 80-100 mm/min, depth of cut varies from 10 – 30 micron, width of diamond dresser is from 0.8 – 1.10mm and drag angle is from 40o – 500, The relative closeness to ideal levels of dressing parameters are found for surface finish produced on the En-31 work piece during sub-sequent grinding operation by using Technique of Order Preference by Similarity to Ideal Solution (TOPSIS).In the present work, closeness to ideal solution i.e. levels of dressing parameters are found for Computer Numerical Control (CNC) cylindrical angular grinding machine. After the TOPSIS technique, it is found that the value of Level I is 0.9738 which gives better surface finish on the En-31 work piece in sub-sequent grinding operation which helps the user to select the correct levels (combinations) of dressing parameters.

Item Type: Book Section
Faculty \ School: Faculty of Science > School of Engineering
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 14 Jan 2020 06:19
Last Modified: 22 Oct 2022 23:51
URI: https://ueaeprints.uea.ac.uk/id/eprint/73629
DOI: 10.1088/1757-899X/178/1/012033

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