scholarly journals Comparison of optimization techniques of input parameters in wire electrical discharge machining

2017 ◽  
Vol 8 (41) ◽  
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Optimization Techniques ◽  
Wire Electrical Discharge Machining ◽  
Input Parameters

Modeling and Optimization of Wire Electrical Discharge Machining of Cold-Work Steal 2601

2011 ◽  
Vol 383-390 ◽  
pp. 6695-6703 ◽  
Author(s):  
Abolfazl Golshan ◽  
Soheil Gohari ◽  
Ayob Amran
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Cold Work ◽  
Open Circuit ◽  
Experimental Result ◽  
Wire Electrical Discharge Machining ◽  
Machining Parameters ◽  
Input Parameters ◽  
Pulse Off Time

In this study, the appropriate input parameters for achieving minimum surface roughness and high material removal rate are selected for wire electrical discharge machining of cold-work steel 2601. Mathematical modeling acquired by experimental result analysis is used to find the relation between input parameters including electrical current, gap voltage, open-circuit voltage and pulse-off time and output parameters. Subsequently, with exploitation of variance analysis, importance and effective percentages of each parameter are studied. The combination of optimum machining parameters is acquired using the analysis of ratios of signal-to-noise. Finally, according to multiple-objective optimization, outputs acquired from Non-dominated Sorting Genetic Algorithm led in achieving appropriate models. The optimization results showed suggested method has a high performance in problem solving.

scholarly journals Experimental investigation of Wire Electrical Discharge Machining (WEDM) Process Parameters on SS304 using Taguchi method

2018 ◽  
Author(s):  
T Vijaya Babu ◽  
B Subbaratnam
Keyword(s):  
Process Parameters ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Wire Electrical Discharge Machining ◽  
Taguchi’S Method ◽  
Input Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process

WEDM (Wire Electrical discharge machining) is a nonconventional machining processes used in complicated shapes with high accuracy which are not possible with other conventional methods .Stainless steel 304 is used in present experimental work. Experiments are completed using Taguchi’s method with L9 orthogonal array .The aim of this work is to optimize the WEDM process parameters by considering input parameters are pulse on time , pulse off time ,peak current and wire feed and experiments are conducted with help of input parameters at three levels and response output parameters are MRR (Material removal Rate) and Surface Roughness (SR).Setting of parameters using by Taguchi’s method.

A Hybrid Approach for Process Optimization in Taper Cutting Operation Using Wire Electrical Discharge Machining

2014 ◽  
Vol 619 ◽  
pp. 83-88 ◽  
Author(s):  
Bijaya Bijeta Nayak ◽  
Siba Sankar Mahapatra
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Hybrid Approach ◽  
Angular Error ◽  
Wire Electrical Discharge Machining ◽  
Ann Model ◽  
Marquardt Algorithm ◽  
Input Parameters ◽  
Cutting Operation ◽  
Wedm Process

Angular error is a major concern for the tool engineers during the taper cutting operation in wire electrical discharge machining (WEDM) process. Due to the complexity and non-linearity involved in the process, it is difficult to obtain good functional relationship between responses and process parameters. To address this issue, the present study proposes artificial neural network (ANN) model to determine the relationship between input parameters and output response. Bayesian regularization is adopted for selection of optimum network architecture because of its ability to fix number of network parameters irrespective of network size. Levenberg-Marquardt algorithm has been used to train the ANN model and the resulting network has good generalization capability minimizing the chance of over fitting. The model is developed based on the data obtained from a laboratory scale experimental set up. A set of six important input parameters such as part thickness, taper angle, pulse duration, discharge current, wire speed and wire tension is chosen to study the tapering operation in WEDM. Finally, a recent meta-heuristic approach known as Bat algorithm is used to suggest the optimum parametric combination for minimizing the angular error during taper cutting process in WEDM.

scholarly journals Optimization of Process Parameters for Minimum Surface Roughness in Wire Electrical Discharge Machining of AISI 1045 Steel Using Taguchi Method

2021 ◽  
Vol 9 (10) ◽  
pp. 989-997
Author(s):  
Rouhan Rafiq
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Wire Electrical Discharge Machining ◽  
Input Parameters ◽  
Pulse On Time

Abstract: One of the important non-traditional machining processes is Wire Electrical Discharge Machining, used for machining difficult to machine materials like composites and inter-metallic materials. WEDM involves complex physical and chemical process including heating and cooling. Accompanying the development of mechanical industry, the demand for alloy materials having high hardness, toughness and impact resistance are increasing. The WEDM satisfy the present demands of the manufacturing industries such as better finish, low tolerance, higher production rate, miniaturization etc. The consistent quality of parts being machined in WEDM is difficult because the process parameters cannot be controlled effectively. The problem of arriving at the optimum levels of the operating parameters has attracted the attention of the researcher and practicing engineers for a very long time. The objective of the present study was to experimentally investigate the effects of various Wire Electrical Discharge Machining variables on Surface Roughness and Material Removal Rate of AISI 1045 using ANOVA method. Taguchi’s L18 Orthogonal Array was used to conduct experiments, which correspond to randomly chosen different combination of process parameters: wire type, pulse on time, pulse off time, peak current, servo voltage, wire feed rate, flushing pressure each to be varied in three different levels. The surface roughness and material removal rate were selected as output responses for the present investigation. The effect of all the input parameters on the output responses have been analyzed using analysis of variance (ANOVA). The effect of variation in input parameters has been studied on the output responses. Plots of S/N ratio have been used to determine the best relationship between the responses and the input parameters. In other words, the optimum set of input parameters for minimum surface roughness and maximum material removal rate were determined. It has been found that wire type, pulse on time are most significant factors for surface roughness and wire type, pulse on time, pulse off time, wire feed rate are most significant factors for material removal rate. Keywords: Input Parameters, Wire Electric Discharge Machining, ANOVA, Taguchi

scholarly journals Wire Electrical Discharge Machining (WEDM) optimization process: A conceptual view

2020 ◽  
Vol 864 ◽  
pp. 012089
Author(s):  
Sharifah Zarith Rahmah Syed Ahmad ◽  
Azlan Mohd Zain ◽  
Yusliza Yusoff ◽  
Nurzal Effiyana Ghazali ◽  
Kai-Qing Zhou
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Optimization Process ◽  
Wire Electrical Discharge Machining
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