Multi-Response Optimization of Process Parameters in AWJ Machining of Hybrid GFRP Composite by Grey Relational Method

被引：15

作者：

Deepak, D. ^{[1
]}

Paulo Davim, J. ^{[2
]}

机构：

[1] Manipal Acad Higher Educ, Manipal Inst Technol, Dept Mech & Mfg Engn, Manipal 576104, Karnataka, India

[2] Univ Aveiro, Dept Mech Engn, Campus Santiago, P-3810193 Aveiro, Portugal

来源：

2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS PROCESSING AND MANUFACTURING (SMPM 2019) | 2019年 / 35卷

关键词：

AWJ Machining; ANOVA; GFRP composite; Grey relational analysis; Kerf-ratio; Jet pressure; Standoff distance; Surface roughness; ABRASIVE WATER-JET; DELAMINATION; PERFORMANCE;

D O I：

10.1016/j.promfg.2019.07.021

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In recent days, AWJ is emerged as one of the best tools for machining of fiber reinforced polymer. In this study, multi-response optimization of process parameters is carried out using grey relational method to reduce the surface taper and surface roughness while AWJ machining of graphite laced GFRP. The grey relational grades are analysed using ANOVA to determine the influence of process parameters. The feed rate showed highest influence (24.26 %) on the response followed by interaction effect of the operating pressure and feed rate (23.54 %) as-well-as operating pressure and standoff distance (16.12 %). Whereas the contribution of operating pressure and standoff distance on response is 11.50% and 8.20 % respectively. Delamination is not observed on the surfaces machined at optimum combination of process parameters. (C) 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the organizing committee of SMPM 2019.

引用

页码：1211 / 1221

页数：11

共 32 条

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