Optimization of Process Parameters of EDM Process Using Fuzzy Logic and Taguchi Methods for Improving Material Removal Rate and Surface Finish

2018 ◽  
Vol 5 (2) ◽  
pp. 7420-7428 ◽  
Author(s):  
Nakka Nagaraju ◽  
Sadu Venkatesu ◽  
N.G. Ujwala
Author(s):  
Nehal Dash ◽  
Apurba Kumar Roy ◽  
Sanghamitra Debta ◽  
Kaushik Kumar

Plasma Arc Cutting (PAC) process is a widely used machining process in several fabrication, construction and repair work applications. Considering gas pressure, arc current and torch height as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness would be considered as factors that determines the quality, machining time and machining cost. In order to reduce the number of experiments Design of Experiments (DOE) would be carried out. In later stages applications of Genetic Algorithm (GA) and Fuzzy Logic would be used for Optimization of process parameters in Plasma Arc Cutting (PAC). The output obtained would be minimized and maximized for Surface Roughness and Material Removal Rate respectively using Genetic Algorithm (GA) and Fuzzy Logic.


2018 ◽  
Vol 17 (03) ◽  
pp. 277-290
Author(s):  
Lokesh Upadhyay ◽  
M. L. Aggarwal ◽  
Pulak M. Pandey

A lot of research has been done to improve electric discharge machining (EDM) process to overcome the difficulties of lower material removal and surface finish. In the current study, magneto rheological (MR) fluid was used in place of conventional dielectric to develop a new variant of EDM process. A comparative study of MR fluid assisted EDM at the stationary and rotary conditions of the tool with M2 grade high-speed steel as workpiece has been presented. Investigations have been done to evaluate the effect of various process parameters such as percentage volume Al2O3, pulse on time, duty cycle and discharge current on material removal rate and surface roughness with surface morphology. Higher material removal rate and lower surface finish was obtained in rotary magneto rheological fluid assisted EDM as compared to magneto rheological fluid assisted EDM without rotation under the same processing condition at optimum process parameters.


Manufacturing ◽  
2003 ◽  
Author(s):  
Scott F. Miller ◽  
Albert J. Shih

The development of new, advanced engineering materials and the needs for precise and flexible prototype and low-volume production have made wire electrical discharge machining (EDM) an important manufacturing process to meet such demand. This research investigates the effect of spark on-time duration and spark on-time ratio, two important EDM process parameters, on the material removal rate (MRR) and surface integrity of four types of advanced material: porous metal foams, metal bond diamond grinding wheels, sintered Nd-Fe-B magnets, and carbon-carbon bipolar plates. An experimental procedure was developed. During the wire EDM, five types of constraints on the MRR due to short circuit, wire breakage, machine slide speed limit, and spark on-time upper and lower limits have been identified. An envelope of feasible EDM process parameters is created and compared across different work-materials. Applications of such process envelope to select process parameters for maximum MRR and for machining of micro features are presented.


2014 ◽  
Vol 591 ◽  
pp. 89-93 ◽  
Author(s):  
M. Sankar ◽  
R. Baskaran ◽  
K. Rajkumar ◽  
A. Gnanavelbabu

In this paper, attempts have been made to model and optimize process parameters in Abrasive assisted Electro-Chemical Machining (AECM) of Aluminium-Boron carbide-Graphite composite using cylindrical copper tool electrodes with SiC abrasive medium. Optimization of process parameters is based on the statistical techniques with four independent input parameters such as voltage, current, reinforcement and feed rate were used to assess the AECM process performance in terms of material removal rate. The obtained results are compared with without abrasive assisted electro chemical machining of Aluminium-Boron carbide-Graphite composite. Abrasive assisted ECM process exhibited higher material removal rate from composite material when compared with without abrasive assisted ECM.


Author(s):  
S. Sudharsan

Lapping is a finishing process used especially for removing the material, achieving finer surfaces, correcting minor imperfections and maintaining close tolerances. This process may takes place due to the relative motion between the work material, slurry and lapping plate. This study is done by conducting a series of experiments based on taguchi design of experiments and calculating material removal rate and surface roughness. This study explains about effect of the parameters on material removal rate and surface finish. The final step of this process is to find out the optimum combination of process parameters to determine the material removal rate and the surface finish.


2020 ◽  
Vol 978 ◽  
pp. 271-276
Author(s):  
Sahini Deepak Kumar ◽  
Shailesh Dewangan ◽  
Joyjeet Ghose ◽  
S.K. Jha

The present work reports the influence of various Electric-Discharge Machining (EDM) process parameters on the surface morphology and EDM characteristics of thixoformed A356-5TiB2 in-situ composites. The important EDM parameters such as pulse current, pulse-on time, Duty Cycle, etc. on Surface morphology and Material removal rate of the thixoformed A356-5TiB2 in-situ composites have been investigated. Further, the machining parameters were optimized using Fuzzy-logic and grey relational analysis approach. The effect of EDM parameters and their interactions on the erosion behavior of A356-5TiB2 in-situ composites on various aspects of surface integrity and Material Removal rate (MRR) is reported. The surface integrity during EDM was characterized by Scanning Electron Microscope and analyzed from the machinability point of view. Thus, this work is an attempt to study the machinability behavior of thixoformed A356-5TiB2 in-situ composites.


2016 ◽  
Vol 16 (3) ◽  
pp. 189-199 ◽  
Author(s):  
Anish Kumar ◽  
Vinod Kumar ◽  
Gaurav Sharma

AbstractIn laser cutting, the capability of laser cutting mainly depends on optical and thermal properties of work material. The surface quality and metallurgical properties of the product is most important from the point of laser cutting quality. The present research work explores the modeling and optimization of laser beam cutting process parameters by using hybrid approach of Taguchi based fuzzy logic. The multi-response optimization of process parameters has been done to improve geometrical accuracy by minimizing the kerf width and kerf deviation. The four input parameters power, gas pressure, feed rate, pulse frequency and three output parameters kerf width (KW), kerf deviation (KD) and material removal rate (MRR) have been taken for the experimentation work. The S/N ratios taken for the KW and KD is of the smaller-the-better type and MRR is of the higher the better type. The predicting fuzzy logic model is implemented on Fuzzy Logic Toolbox of MATLAB using Mamdani technique. The fuzzy logic theory has been applied to compute the fuzzy multi-response performance index (FMRPI). This performance index is further used for multi-objective optimization. The selected samples were analyzed using scanning electron microscope. The predicted optimum results have been validated by performing the confirmation tests. The confirmation tests showed the considerable reduction in kerf deviation and increase in material removal rate.


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