scholarly journals Response Surface Grey Relational Analysis On The Manufacturing of High Grade Biomedical Ti-13Zr-13Nb

2022 ◽  
Author(s):  
Johnson Kehinde Abifarin ◽  
Fredah Batale Fidelis ◽  
Moshood Yemi Abdulrahim ◽  
Elijah Oyewusi Oyedeji ◽  
Tochukwu Nkwuo ◽  
...  
Keyword(s):  
Response Surface ◽  
Grey Relational Analysis ◽  
Residual Error ◽  
Relational Analysis ◽  
Rsm Optimization ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
The Mathematical Model ◽  
Off Time

Abstract Optimization of the manufacturing conditions with more than one performance characteristics have been a thing of concern, especially for Response Surface Method (RSM) optimization. Hence, this study addressed this challenge by reanalyzing a data presented in a previous study using grey relational analysis (GRA) and regression analysis. Central Composite Design (CCD) of RSM with high and low values of manufacturing conditions; voltage (50, 70) V, current (8, 16) A, pulse ON time (6, 10) μs, and pulse OFF time (7, 11) μs. The manufacturing conditions for optimal biomedical Ti-13Zr-13Nb alloy were obtained to be 50V voltage, 8A current, 6 μs pulse ON time, and 11 μs pulse OFF time. It was also revealed that the mathematical model was very efficient because the modeled GRG was in consonant with the experimental one. In addition, it was also established that current was the most significant manufacturing condition with a contribution of 47.27%. Voltage, factors interactions and residual error were insignificant on the GRG value of the titanium alloy. In conclusion, it can be deduced that the a small value of voltage within the considered settings could be used to manufacture better grade Ti-13Zr-13Nb alloy and also the small value of residual error showed the high manufacturability of the material.

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.

scholarly journals Enhancing the Tool Die Steel Profile Cutting Performance in WEDM Process

2019 ◽  
Vol 9 (1) ◽  
pp. 2626-2636
Keyword(s):  
Grey Relational Analysis ◽  
Feed Rate ◽  
Input Current ◽  
Relational Analysis ◽  
Validation Experiment ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process ◽  
Off Time

This work elaborates the experimental work on Material Removal Rate (MRR) and Surface Roughness (SR) output conditions of Wire-Electrical Discharge Machining (WEDM) and finding the optimal input conditions through Taguchi method coupled with Grey relational analysis for lower SR and higher MRR during profile cutting of high strength D3 tool steel, which is the need of the hour in industries. The machining factors considered for investigation which influences MRR and SR were: cutting speed, pulse on-time and off-time, input current, wire tension and feed and servo feed and voltage. A L18 orthogonal array was considered for mixed-level experimental design through Taguchi’s approach and for multi-criteria optimization Grey Relational Analysis was applied. Outcome shows that SR increases with the increase of pulse on-time and decreases with increase in pulse off-time and MRR increases as the pulse on-time increases due to longer spark duration. Both SR and MRR are well within the control limits and servo voltage is the most influential parameter contributing by 48.48%, followed by wire feed rate, input current and servo feed rate with an R2 value of 95.85%, identified through Analysis of Variance (ANOVA). With obtained optimum conditions, a validation experiment was conducted to authenticate the results, which indicates a worthy agreement with predicted output characteristics.

Multi-Response Optimization of Wire-EDM Process Parameters of Titanium Alloy Using Taguchi Method and Grey Relational Analysis

2015 ◽  
Vol 772 ◽  
pp. 245-249
Author(s):  
A. Ramamurthy ◽  
R. Sivaramakrishnan ◽  
S. Venugopal ◽  
T. Muthuramalingam
Keyword(s):  
Titanium Alloy ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Wire Edm ◽  
Relational Analysis ◽  
Response Optimization ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Edm Process

It is very important and complexity to find the optimum values of wire EDM process parameters and contribution of each parameter to attain the better performance characteristics. In this study, an attempt has been made to optimize those parameters while machining the titanium alloy. Since the process involves more one than one response parameter, it is essential to carry out the multi-response optimization methodology .The experiments have been conducted with different levels of input factors such as pulse on time,pulse off time and wire tension based on Taguchi L9 orthogonal table.Wire EDM optimal process parameter has been identified using grey relational analysis and significant parameter has been determined by analysis of variance. Experimental results have indicated that the multi-response characteristic such as material removal rate and surface roughness can be improved effectively through grey relational analysis.

Multi-Response Optimization of EDM for Ti-6Al-4V Using Taguchi - Grey Relational Analysis

2017 ◽  
Vol 266 ◽  
pp. 43-50 ◽  
Author(s):  
Ritesh Joshi ◽  
Gopal Zinzala ◽  
Nishit Nirmal ◽  
Kishan Fuse
Keyword(s):  
Grey Relational Analysis ◽  
Removal Rate ◽  
Optimization Technique ◽  
High Strength ◽  
Operating Conditions ◽  
Electrode Wear ◽  
Relational Analysis ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time

Ti-6Al-4V is a titanium alloy having high strength, low weight and corrosion resistant which is a required characteristic for a material to be used in aerospace industry. Titanium, being a hard alloy is difficult to the machine via conventional methods so it is a call to use non-conventional processes. In present work, the effects on Ti-6Al-4V by drilling a hole of Ø 6 mm using copper (99%) electrode in electric discharge machining (EDM) process is analyzed. Experiments were performed under different operating conditions of peak current, pulse-on time and pulse-off time. Multi-objective optimization technique Grey relational analysis is used for process optimization of material removal rate (MRR) and electrode wear rate (EWR). Experiments are designed using an L9 orthogonal array. ANOVA is used for finding most contributing parameter followed by confirmation tests for validating the results.

Optimization of WEDM Process Parameters for MRR and Surface Roughness using Taguchi-Based Grey Relational Analysis

2015 ◽  
Vol 2 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Milan Kumar Das ◽  
Kaushik Kumar ◽  
Tapan Kumar Barman ◽  
Prasanta Sahoo
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Confirmatory Test ◽  
Relational Analysis ◽  
Minimum Surface ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process

This article presents an experimental study of material removal rate (MRR) and surface roughness characteristics of wire electrical discharge machining (WEDM) and the optimization of process parameters based on Taguchi method coupled with grey relational analysis for minimum surface roughness and maximum MRR. Experiments are carried out by utilizing the combination of process parameters viz. discharge current, voltage, pulse on time and pulse off time based on L27 Taguchi orthogonal array (OA). Analysis of variance (ANOVA) carried out and it reveals that current has the maximum contribution in controlling MRR and surface characteristics of WEDM. The interaction between voltage and pulse on time is also found to have significant contribution in MRR and surface roughness characteristics. The optimum combination of process parameters for maximum MRR and minimum surface roughness is obtained and the optimal setting has been verified through confirmatory test. The result shows good agreement between the predicted and experimental results. This indicates the utility of the grey-Taguchi technique as multi-objective optimizer in the field of WEDM. Also, variation of responses with process parameters are also studied using 3D surface plots. Finally, the microstructure analysis in the region of cutting surface is performed using scanning electron microscopy (SEM).

Multi-Objective Optimization of EDM Parameters Using Grey Relational Analysis for Titanium Alloy (Ti–6Al–4V)

2014 ◽  
Vol 592-594 ◽  
pp. 540-544 ◽  
Author(s):  
A. Palanisamy ◽  
R. Rekha ◽  
S. Sivasankaran ◽  
C. Sathiya Narayanan
Keyword(s):  
Grey Relational Analysis ◽  
Removal Rate ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Relational Analysis ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Edm Process

In this paper optimization of the electrical discharge machining (EDM) process with multiple performance characteristics based on the orthogonal array with the grey relational analysis was studied and investigated. A grey relational grade obtained from the grey relational analysis is used to solve the EDM process. Optimal machining parameters are determined by considering the grey relational grade as the performance index. The input independent parameters of peak current, pulse on time and pulse off time were examined and optimized on multiple response characters (material removal rate, electrode wear ratio and surface roughness). Experimental results have shown that machining performance in the EDM process can be improved effectively through this approach.

Application of Taguchi-Grey Relational Methodology for Multiple Optimal Performance Measures in WEDM Process

2015 ◽  
Vol 766-767 ◽  
pp. 861-866 ◽  
Author(s):  
A. Ramamurthy ◽  
R. Sivaramakrishnan ◽  
S. Venugopal ◽  
T. Muthuramalingam
Keyword(s):  
Performance Measures ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Removal Rate ◽  
Optimum Process ◽  
Relational Analysis ◽  
Grey Relational ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process

It is very tedious process to find the optimum multiple performance measures of wire EDM process parameters and role of each parameter to attain the better performance characteristics. Since the WEDM process involves more one than machining characteristics, it is important to carry out the multi-response optimization methodology. In the present study, an attempt has been made to find the optimum process parameters using Taguchi-Grey relational analysis. The machining experiments have been conducted with different levels of input factors such as voltage, peak current, pulse on time, and pulse off time and wire material based on Taguchi L18 orthogonal table. Experimental results have indicated that the multi-response characteristic such material removal rate and surface roughness can be enhanced by 1.2% effectively through grey relational analysis.

scholarly journals Investigation of Drilling Parameters Using Grey Relational Analysis and Response Surface Methodology of Biaxial Glass Fibre Reinforced with Modified Epoxy Resin Composite

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
I Infanta Mary Priya ◽  
B. K. Vinayagam
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Glass Fibre ◽  
Grey Relational Analysis ◽  
Cutting Parameters ◽  
Image Processing Technique ◽  
Tool Materials ◽  
Relational Analysis ◽  
Glass Fibre Reinforced ◽  
Grey Relational

This research work attempts to study the most prominent factor of the drilling operations performed on different thicknesses of biaxial glass fibre reinforced with graphene platelet nanopowder and epoxy composite using three different drills. Damages are induced in the workpieces to analyse the effect of changed cutting parameters and different tool materials for varied thicknesses of the plates during the drilling process. The resultant drilled hole exhibited surface irregularities that are measured using SURFCOM 1400G. The circularity deviations of the holes are measured using a coordinate measuring machine. Image-processing technique is used to calculate the area of maximum diameter of the damaged zone. Using these data, delamination at entry and exit is calculated. Utilizing response surface methodology and grey relational analysis, the varied operations are carried out and analysed with different tool materials for common cutting parameters. It is found that the lesser thickness workpiece with selected HSS drill under high speed and low feed rate is the best variable option.

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