Parametric analysis and a soft computing approach on material removal rate in electrochemical discharge machining

2011 ◽  
Vol 24 (1/2/3/4) ◽  
pp. 23 ◽  
Author(s):  
Jinka Ranganayakulu ◽  
Somashekhar S. Hiremath ◽  
Lijo Paul
Keyword(s):  
Soft Computing ◽  
Material Removal Rate ◽  
Parametric Analysis ◽  
Material Removal ◽  
Removal Rate ◽  
Electrochemical Discharge Machining ◽  
Electrochemical Discharge ◽  
Computing Approach

Experimental Investigation of Drilling Incorporated Electrochemical Discharge Machining

2014 ◽  
Author(s):  
Baoyang Jiang ◽  
Shuhuai Lan ◽  
Jun Ni
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Hole Drilling ◽  
Tool Electrode ◽  
Drilling Process ◽  
Electrochemical Discharge Machining ◽  
Electrochemical Discharge ◽  
Micro Drilling

Electrochemical discharge machining (ECDM) is a non-conventional micromachining technology, and is highlighted for non-conductive brittle materials. However, the outcomes of ECDM have many restrictions in application due to limitations on efficiency, accuracy, and machining quality. In this paper, a drilling incorporated ECDM process is presented and analyzed to enhance material removal rate in ECDM drilling process. Incorporating micro-drilling into ECDM significantly increases the rate of material removal, especially in deep hole drilling. As fundamentals of the machining process, material removal mechanisms have been investigated to account for the increment in material removal rate by incorporating micro-drilling. Vibration of tool electrode, induced by a piezo-actuator, was introduced to further enhance material removal rate. Quantitative studies were conducted to determine the appropriate process parameters of drilling incorporated ECDM with tool vibration.

Micro-Machining of Glass Using Electrochemical Discharge Assisted Cutting

2016 ◽  
Author(s):  
Baoyang Jiang ◽  
Jun Ni
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Geometric Accuracy ◽  
Machine Material ◽  
Hybrid Machining ◽  
Electrochemical Discharge Machining ◽  
Electrochemical Discharge ◽  
Hybrid Machining Process

Glass is a hard-to-machine material with vast industrial application. Electrochemical discharge machining (ECDM) is a non-traditional machining technology that has shown potential for effective glass machining. However, ECDM has not been widely used in industry despite being studied for over a decade. Major challenges of ECDM include limited machinable depth and low material removal rate. In this paper, an innovative hybrid machining process combining ECDM and traditional cutting is presented, namely electrochemical discharge assisted cutting. The material removal rate of the hybrid ECDM process is significantly higher than conventional processes. Experimental results are presented to prove the feasibility and capability of the process. Discussion concentrates on the improvement of geometric accuracy and surface integrity through experimentation.

Grinding-aided electrochemical discharge drilling in the light of electrochemistry

2018 ◽  
Vol 233 (6) ◽  
pp. 1896-1909 ◽  
Author(s):  
VG Ladeesh ◽  
R Manu
Keyword(s):  
Material Removal Rate ◽  
Borosilicate Glass ◽  
Chemical Etching ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Accuracy ◽  
Hybrid Technique ◽  
Machined Surface ◽  
Influence Of Process Parameters ◽  
Electrochemical Discharge

The electrically non-conductive materials like glass, ceramics, quartz, etc. are of great interest for many applications in modern industries. Machining them with high quality and at a faster rate is a challenging task. In this study, a novel technique called grinding aided electrochemical discharge drilling (G-ECDD) is demonstrated which uses a hollow diamond core drill as the tool for performing electrochemical discharge machining of borosilicate glass. The new hybrid technique enhances the material removal rate and machining accuracy to several folds by combining the thermal melting action of discharges and grinding action of the abrasive tool. This paper presents the experimental investigation on the material removal rate during G-ECDD of glass while using different electrolytes. An attempt has been made to explore the influence of electrolyte temperature on G-ECDD performance by maintaining the electrolyte at different temperatures. Experiments were conducted using three different electrolytes which include NaOH, KOH, and the mixture of both. The results obtained from this study revealed that an increase in temperature will favor chemical etching as well as electrochemical reaction rate. Also, it was observed that heating the electrolyte leads to an increase in the bubble density and enhances the ion mobility. This causes the formation of gas film at a faster rate and thereby improving the discharge activity. Thus, machining will be done at a faster rate. Better results are obtained while using a mixture of NaOH and KOH. From the microscopic images of the machined surface, it was observed that material removal mechanism in G-ECDD is a combination of grinding action, electrochemical discharges, and chemical etching. Response surface methodology was adopted for studying the influence of process parameters on the performance of G-ECDD. The new technique of grinding aided electrochemical discharge drilling proved its potential to machine borosilicate glass and simultaneously offers good material removal rate, repeatability, and accuracy.

Investigation on Electrochemical Discharge Micro-Machining of Silicon Carbide

2017 ◽  
Vol 4 (2) ◽  
pp. 29-44 ◽  
Author(s):  
B.R. Sarkar ◽  
B. Doloi ◽  
B. Bhattacharyya
Keyword(s):  
Silicon Carbide ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Parameters ◽  
Micro Machining ◽  
Electrode Gap ◽  
Multi Objective ◽  
Electrochemical Discharge Machining ◽  
Electrochemical Discharge ◽  
Conducting Materials

Electrochemical discharge machining (ECDM) process has great potential to machine hard, brittle and electrically non-conducting materials in micron range. The objective of this paper is to investigate into electrochemical discharge micro-machining on electrically semi-conductor type silicon carbide (SiC) material so as to study the effects of applied voltage, electrolyte concentration and inter-electrode gap on material removal rate (MRR) and radial overcut (ROC) of micro-drilled hole. Experiments were conducted based on L9 array of Taguchi method with stainless steel µ-tool of 300µm diameter using NaOH electrolyte. An attempt has been made to find out the single as well as multi-objective optimal parametric combinations for maximum MRR and minimum ROC. The single-objective parametric combinations were selected as 45V/20wt%/20mm and 25V/20wt%/40mm for maximum MRR and minimum ROC respectively whereas multi-objective optimal parametric combinations was found as 25V/20wt%/40mm. Further mathematical models have been developed between the above machining parameters and characteristics.

scholarly journals Metaheuristic approach in machinability evaluation of silicon carbide particle/glass fiber–reinforced polymer matrix composites during electrochemical discharge machining process

2019 ◽  
Vol 52 (7-8) ◽  
pp. 1167-1176 ◽  
Author(s):  
Parvesh Antil ◽  
Sarbjit Singh ◽  
Sunpreet Singh ◽  
Chander Prakash ◽  
Catalin Iulian Pruncu
Keyword(s):  
Differential Evolution ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Population Based ◽  
Bees Algorithm ◽  
Silicon Carbide Particle ◽  
Electrochemical Discharge Machining ◽  
Reinforced Polymer ◽  
Glass Fiber Reinforced

The advanced manufacturing and machining techniques are adopting a population-based metaheuristic algorithm for production, predicting and decision-making. Using the same approach, this paper deals with the application of bees algorithm and differential evolution to forecast the optimal parametric values aiming to obtain maximum material removal rate during electrochemical discharge machining of silicon carbide particle/glass fiber–reinforced polymer matrix composite. The bees algorithm follows swarm-based approach, while differential evolution works on a population-based approach. The experimental design was prepared on the basis of Taguchi’s methodology using an L16 orthogonal array. For the experimental analysis, the main variables in the process, that is, electrolyte concentration (g/L), inter-electrode gap (mm), duty factor and voltage (volts), were selected as main input parameters, and material removal rate (mg/min) was adjudged as output quality characteristic. A comparative investigation reveals that the maximum material removal rate was obtained by the parametric value proposed by differential evolution that follows the bees algorithm and Taguchi’s methodology. Furthermore, the results prove that the differential evolution algorithm has better collective assessment capability with a rapid converging rate.

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