scholarly journals Optimization of machining parameters for turning operation with multiple quality characteristics using Grey relational analysis

2016 ◽  
Vol 23 (2) ◽  
Keyword(s):  
Grey Relational Analysis ◽  
Quality Characteristics ◽  
Machining Parameters ◽  
Turning Operation ◽  
Relational Analysis ◽  
Multiple Quality Characteristics ◽  
Grey Relational

scholarly journals Optimization of Machining Parameters using ANOVA and Grey Relational Analysis while Turning Aluminium 7075

2019 ◽  
Vol 8 (2) ◽  
pp. 5682-5686
Keyword(s):  
Grey Relational Analysis ◽  
High Speed ◽  
Removal Rate ◽  
High Speed Steel ◽  
Depth Of Cut ◽  
Total Production ◽  
Machining Parameters ◽  
Turning Operation ◽  
Relational Analysis ◽  
Grey Relational

In this research a detailed study is carried out on machining parameters for turning operation on aluminium 7075 with high speed steel. This grade of aluminium is known for its applications in aerospace industry and research about its machining parameters will lead to more developments in the field of production. Aim of this work is to optimize turning operation. Machining parameters viz. speed, feed and depth of cut are taken as input parameters. Material removal rate (MRR), tool wear (TWR), surface roughness (SR) are taken as output parameters and the set of optimized parameters means reduction in total production cost. The experiments are planned using Taguchi’s L9 orthogonal array. Grey relational analysis (GRA) is used for multi objective optimization using grey relational grades. Application of analysis of variance(ANOVA) helps in the identification of most prominent parameters among speed, feed and depth of cut

Multiple Performance Optimization in WEDM Parameters Using Grey Relational Analysis

2015 ◽  
Vol 813-814 ◽  
pp. 357-361
Author(s):  
T. Rajmohan ◽  
Gopi Krishna ◽  
Ankit Kumar Singh ◽  
A.P.V. Swamy Naidu
Keyword(s):  
Grey Relational Analysis ◽  
Performance Characteristics ◽  
304L Stainless Steel ◽  
Machining Parameters ◽  
Relational Analysis ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process ◽  
Off Time

In this investigation, a new approach is based on Grey Relational Analysis and Taguchi method to optimize the machining parameters with multi performance characteristics in WEDM of 304L SS. Experiments are conducted using Taguchi Quality Concept, L9,3-level orthogonal array was chosen for experiments .The WEDM parameters namely pulse-on time (TON), pulse-off time (TOFF), and wire feed (WF) on material removal rate (MRR) .The Grey Relational Analysis with multiple performance characteristics indicates that the pulse-on time (TON), pulse-off time (TOFF) are the most significant factors . The optimum machining parameters have been identified by Grey relational analysis and significant contribution of parameters can be determined by analysis of variance (ANOVA). The confirmation test is also conducted to validate the test result. The results from this study will be useful for manufacturing engineers to select appropriate WEDM process parameters to machine 304L Stainless Steel.

Sign in / Sign up

Export Citation Format

Share Document