scholarly journals An experimental investigation of tool nose radius and machining parameters on TI-6AL-4V (ELI) using grey relational analysis, regression and ANN models

2019 ◽  
pp. 291-304 ◽  
Author(s):  
Darshit R. Shah ◽  
Sanket N. Bhavsar
Keyword(s):  
Experimental Investigation ◽  
Grey Relational Analysis ◽  
Machining Parameters ◽  
Nose Radius ◽  
Relational Analysis ◽  
Ann Models ◽  
Grey Relational ◽  
Tool Nose Radius

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.

Statistical and experimental investigation using a novel multi-objective optimization algorithm on a novel titanium hybrid composite developed by lens process

2020 ◽  
pp. 095440622095910
Author(s):  
Soutrik Bose ◽  
Titas Nandi
Keyword(s):  
Experimental Investigation ◽  
Optimization Algorithm ◽  
Grey Relational Analysis ◽  
Hybrid Composite ◽  
Confirmatory Test ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Relational Analysis ◽  
Grey Relational ◽  
Wedm Process

The machining of titanium based hybrid composite by conventional method is very complicated because of its enhanced strength-to-weight ratio, resistance to corrosion, abrasion and fatigue and this hybrid composite is extensively necessary for automobile, aerospace, sports, spacecrafts, marine and bio-medical industries. In this paper, an investigation is presented based on a novel optimization algorithm named as desirable grey relational analysis (DGRA) where desirability function is coupled with grey relational analysis for multi-objective optimization (MOO). A novel titanium hybrid composite is developed by laser engineered net shaping (LENS) process. Experimental investigation is carried on wire electro-discharge machining (WEDM) process varying power, time off and peak current as the most important input process parameters. Fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) is proposed along with fuzzy analytical hierarchy process (FAHP) for criteria weights for the comparison of the experimental and the predicted results. Statistical investigation on response surface methodology (RSM) is carried on the Box-Behnken design (BBD) model using 3 factors and 3 levels design of experiments (DOE) on output responses like material removal rate (MRR), surface roughness (SR), kerf width (KW) and over cut (OC) to obtain satisfactory outcomes and then authenticated by confirmatory test. Analysis of variance (ANOVA) is used for significance of the models. Optimal condition and solution is attained by method of desirability to accomplish the best output response. This optimized result is further enhanced by 3.09%, 2.05% and 1.02% when compared with desirability to FTOPSIS, FTOPSIS to DGRA, and desirability to DGRA.

Sign in / Sign up

Export Citation Format

Share Document