Parametric Investigation of Photochemical Machining of SS- 430 for Manufacturing of Micromesh

2021 ◽  
Vol 43 ◽  
pp. 1-16
Author(s):  
Devendra Agrawal ◽  
Dinesh Kamble ◽  
Nitin Ambhore
Keyword(s):  
Process Parameters ◽  
Human Life ◽  
Confirmatory Test ◽  
Smoke Detector ◽  
Machining Parameters ◽  
Anova Analysis ◽  
Suitable Material ◽  
Relational Analysis ◽  
Experimental Values ◽  
Grey Relational

Photochemical machining (PCM) is an emerging method for machining of very thin and difficult-to-cut material with complex geometrical profile. PCM is one of recommended method for machining of aerospace components, biomedical appliances, electronics part and decorative items. High corrosion resistance, better life, good appearance and strength recommend SS-430 as suitable material for various applications. In the current investigation, the parametric investigations of process parameters in photochemical machining for concentration and temperature of etchant, time of etching is done through ANOVA analysis. Grey Relational Analysis is performed to estimate the optimum machining parameters during PCM of SS-430. Formulation of mathematical model is done for prediction of results. Taguchi (L27) experimental array is used for Design of Experiments (DoE). The significance process parameters are estimated to govern the process with F-Values. Confirmatory test is conducted to observe the improvement in the responses. ANN predictive model is built up for investigation of error between predictive and experimental values. The obtained optimum set is used for manufacturing of micromesh typically used in smoke detector to safeguard human life.

Grey Relational Analysis and Taguchi Method for the Parametric Optimization of Single Pass Friction Stir Welded Aluminum Alloy 7075-T6 Joints

2016 ◽  
Vol 852 ◽  
pp. 331-336 ◽  
Author(s):  
A. Varun Kumar ◽  
M. Balasrinivasan ◽  
Mohamed Dulkiflee
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Optimization Techniques ◽  
Friction Stir ◽  
Single Pass ◽  
Relational Analysis ◽  
Experimental Values ◽  
Aluminum Alloy 7075 ◽  
Grey Relational ◽  
Solid State Joining

Friction Stir Welding (FSW) is a solid state joining technique for both similar and dissimilar combination of materials. However, there is a scope in optimizing the process parameters involved in the FSW process. Taguchi based Grey Relational Analysis (GRA) has an impact in better optimization results when compared with other optimization techniques. In this present work totally 9 samples of single pass friction stir welded aluminium alloy were taken for the optimization process. The samples were subjected to various tool speeds and traverse speeds by keeping the axial force as constant. The experiments were planned using Taguchi’s orthogonal array selector in order reduce the multi responses involved in the FSW process. The final optimized values were correlated with the experimental values. It is revealed from results that the optimized process parameter showed a good agreement with the experimental values. The present work has also proved the feasibility of GRA in combination with Taguchi technique for better enhancement in the weldment and optimization of the process parameters.

Multi-Response Optimization of Dissimilar Al-Ti Alloy FSW Using Taguchi - Grey Relational Analysis

2020 ◽  
Vol 833 ◽  
pp. 35-39 ◽  
Author(s):  
Shival Patel ◽  
Kishan Fuse ◽  
Khushboo Gangvekar ◽  
Vishvesh Badheka
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Traverse Speed ◽  
Anova Analysis ◽  
Friction Stir ◽  
Relational Analysis ◽  
Significant Process ◽  
Grey Relational Grade ◽  
Response Optimization ◽  
Grey Relational

This article presents multi-response optimization of friction stir welding of dissimilar Al 6061-Titanium alloy using Taguchi based grey relational analysis. Taguchi’s L9 orthogonal array was used for designing the experiments. Process parameters considered for the experiments were rotational speed, traverse speed and tilt angle. Ultimate tensile strength, yield strength, and % elongation were the responses measured which all are larger-the-better characteristics. Based on grey relational grade, optimum levels of process parameters were identified and further ANOVA analysis was carried out to find most significant process parameter.

Effect of Process Parameters on Performance Measures in CNC Turning Using One Factor at a Time Approach for SS304

2016 ◽  
Vol 854 ◽  
pp. 26-32
Author(s):  
M. Fakkir Mohamed ◽  
B. Praveen Kumar ◽  
P.L. Madhavan ◽  
M. Pradeep
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Optimal Parameter ◽  
Numerical Control ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Cnc Turning ◽  
Process Factor ◽  
Relational Analysis ◽  
Grey Relational

This work extent with the improvement of machining parameters in turning of SS304 austenitic stainless-steel in Computer Numerical Control (CNC) shaping machine by victimization of coated inorganic compound tools. Throughout the experiment, process parameters like Speed, Feed and Depth of Cut are used to inquire their general intent on the Surface Roughness (Ra) and Material Removal Rate (MRR) as the quality targets. 9 experimental runs supported by one factor at a Time Approach as Design of Experiment and Grey Relational Analysis (GRA) method is applied to see associate degree for optimum CNC turning parameter setting. An optimal parameter combination of the turning method is obtained by victimization of Grey Relational Analysis. By dissecting the Grey Relational Grade matrix, the degree of influence for every controllable process factor onto individual quality targets is found for the higher performance characteristics.

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).

scholarly journals Analysis and optimization of laser drilling process during machining of AISI 303 material using grey relational analysis approach

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
V. Chengal Reddy ◽  
Thota Keerthi ◽  
T. Nishkala ◽  
G. Maruthi Prasad Yadav
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Pulse Frequency ◽  
Laser Drilling ◽  
Simultaneous Optimization ◽  
Fibre Laser ◽  
Drilling Process ◽  
Relational Analysis ◽  
Grey Relational

AbstractSurface roughness and heat-affected zone (HAZ) are the important features which influence the performance of the laser-drilled products. Understanding the influence of laser process parameters on these responses and identifying the cutting conditions for simultaneous optimization of these responses are a primary requirement in order to improve the laser drilling performance. Nevertheless, no such contribution has been made in the literature during laser drilling of AISI 303 material. The aim of the present work is to optimize the surface roughness (Ra) and HAZ in fibre laser drilling of AISI 303 material using Taguchi-based grey relational analysis (GRA). From the GRA methodology, the recommended optimum combination of process parameters is flushing pressure at 30 Pa, laser power at 2000 W and pulse frequency at 1500 Hz for simultaneous optimization of Ra and HAZ, respectively. From analysis of variance, the pulse frequency is identified as the most influenced process parameters on laser drilling process performance.

Sign in / Sign up

Export Citation Format

Share Document