Investigation and Performance Analysis of AWJM using MCDMM | An Experiment of Input Parameters on Abrasive Water Jet Machining using Multi-criteria Decision Making method

Sunil V. Patel (u. a.)

ISBN 10: 6200302103 / ISBN 13: 9786200302106

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

Investigation and Performance Analysis of AWJM using MCDMM | An Experiment of Input Parameters on Abrasive Water Jet Machining using Multi-criteria Decision Making method | Sunil V. Patel (u. a.) | Taschenbuch | 124 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200302106 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 117630800

Bibliographic Details

• Title: Investigation and Performance Analysis of AWJM using MCDMM | An Experiment of Input Parameters on Abrasive Water Jet Machining using Multi-criteria Decision Making method
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200302103
• ISBN 13: 9786200302106
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 203 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

An Abrasive water jet machining is non-traditional machining process. In AWJM process water and abrasive particles are made to impinge on the work material at high velocity. This high velocity converting pressure energy into kinetic energy so high velocity abrasive particles remove the material by micro-cutting action as well as brittle fracture of the work material. The present work study AWJM process parameter and optimization this process parameter using AHP/MOORA method for selection most significant value of output process parameter of AWJM. Here, experimentation should be done using taguchi orthogonal L9 array. Further, the experiments should be done on Aluminum matrix material using three different abrasive materials like SiC, Al2O3 and Garnet material of different size 2mesh, 4mesh, 6mesh. A Genetic algorithm (GA) is implemented to optimize the Material Removal Rate, Surface Roughness, Kerf width using R2010a MATLAB software.