Multi-objective Optimization of PMEDM Process for Maximum Material Removal Speed and Minimum Electrode Wear Rate When Machining SKD11 Steel

2022 ◽  
pp. 623-633
Author(s):  
Anh Tuan Nguyen ◽  
Thi Tam Do ◽  
Thu Quy Le ◽  
Ngoc Huy Thinh Tran ◽  
Hoang Anh Le ◽  
...  
Keyword(s):  
Wear Rate ◽  
Material Removal ◽  
Electrode Wear ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Electrode Wear Rate

PENGARUH VARIABEL PEMOTONGAN TERHADAP KEAUSAN ELEKTRODA DAN BENDA KERJA PADA PROSES EDM

ROTASI ◽  
2014 ◽  
Vol 16 (4) ◽  
pp. 9
Author(s):  
Petrus Londa
Keyword(s):  
Wear Rate ◽  
Analysis Of Variance ◽  
Material Removal Rate ◽  
Orthogonal Array ◽  
Material Removal ◽  
Removal Rate ◽  
Signal To Noise Ratio ◽  
Electrode Wear ◽  
Signal To Noise ◽  
Electrode Wear Rate

Keausan elektroda pada proses EDM die sinking adalah peristiwa yang tidak dapat di hindari, namun dengan mengatur variabel pemotongan yang sesuai, diharapkan keausan yang terjadi se-minim mungkin sehingga dapat menjamin tingkat akurasi ukuran pada benda kerja yang di hasilkan. Pada penelitian ini di pilih metode Taguchi untuk menentukan variabel pemotongan yang optimum pada elektroda tembaga dan benda kerja dari bahan K460 (amutit S). Taguchi L9 orthogonal array, signal-to-noise ratio (S/N ratio) dan analysis of variance (ANOVA) dapat menentukan performa variabel proses EDM (PON, POFF, QDON dan GAP) dengan parameter yang di teliti adalah Electrode Wear Rate (EWR) dan Material Removal Rate (MRR). Hasil dari eksperimen tersebut di tampilkan dalam bentuk tabel-tabel dan grafik

Electric discharge machining using rapid manufactured complex shape copper electrode: Parametric analysis and process optimization for material removal rate, electrode wear rate and cavity dimensions

2020 ◽  
Vol 234 (12) ◽  
pp. 2459-2473 ◽  
Author(s):  
Jagtar Singh ◽  
Gurminder Singh ◽  
Pulak M Pandey
Keyword(s):  
Wear Rate ◽  
Material Removal Rate ◽  
Electric Discharge ◽  
Computer Aided Design ◽  
Material Removal ◽  
Removal Rate ◽  
Copper Electrode ◽  
Electrode Wear ◽  
Electric Discharge Machining ◽  
Electrode Wear Rate

The present investigation addresses the machining outcome of electric discharge machining using a rapid manufactured complex shape copper electrode. Developed rapid manufacturing technique using an amalgamation of polymer 3D printing and pressureless sintering of loose powder as rapid tooling has been used to fabricate copper electrode from the computer-aided design model of the desired shape. The fabricated electrode was used for the electric discharge machining of the D-2 steel workpiece. Central composite design was employed to study the electric discharge machining parameters (pulse duration, duty cycle and peak current) effect on the electric discharge machining characteristics such as material removal rate, electrode wear rate and cavity dimensional deviation as overcut from electrode computer-aided design model. Analysis of variance was executed to attain significant parameters along with interactions. Peak current was found to be the utmost dominating parameter for three responses. The high percentage of carbon was observed on the electrode surface after electric discharge machining at the high level of pulse duration and resulted in low electrode wear rate. The high percentage of dimensional deviation was noticed at the maximum duty cycle and maximum peak current by the substantial interactions. Genetic algorithm-based multi-objective optimization was employed for the electric discharge machining parameters optimization to maximize material removal rate, minimize electrode wear rate and dimensional deviation. The multi-feature complex copper electrode was fabricated and used for electric discharge machining as the case study to check the efficacy of the optimized process. It was witnessed that the process was competent to fabricate complex shape cavity as per the desired computer-aided design model shape with efficient material removal rate and electrode wear rate.

scholarly journals Effect of Different Dielectrics on Material Removal Rate, Electrode Wear Rate and Microstructures in EDM

Procedia CIRP ◽  
2017 ◽  
Vol 60 ◽  
pp. 2-7 ◽  
Author(s):  
Misbah Niamat ◽  
Shoaib Sarfraz ◽  
Haris Aziz ◽  
Mirza Jahanzaib ◽  
Essam Shehab ◽  
...  
Keyword(s):  
Wear Rate ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Electrode Wear ◽  
Electrode Wear Rate

scholarly journals Material Removal Rate, Electrode Wear Rate, and Surface Roughness Evaluation in Die Sinking EDM with Hollow Tool through Response Surface Methodology

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Teepu Sultan ◽  
Anish Kumar ◽  
Rahul Dev Gupta
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Wear Rate ◽  
Response Surface ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Electrode Wear ◽  
Electrode Wear Rate ◽  
Pulse On Time

Electrical discharge machining is one of the earliest nontraditional machining, extensively used in industry for processing of parts having unusual profiles with reasonable precision. In the present work, an attempt has been made to model material removal rate, electrode wear rate, and surface roughness through response surface methodology in a die sinking EDM process. The optimization was performed in two steps using one factor at a time for preliminary evaluation and a Box-Behnken design involving three variables with three levels for determination of the critical experimental conditions. Pulse on time, pulse off time, and peak current were changed during the tests, while a copper electrode having tubular cross section was employed to machine through holes on EN 353 steel alloy workpiece. The results of analysis of variance indicated that the proposed mathematical models obtained can adequately describe the performances within the limits of factors being studied. The experimental and predicted values were in a good agreement. Surface topography is revealed with the help of scanning electron microscope micrographs.

scholarly journals Parametric Modelling and Multi-Objective Optimization of Electro Discharge Machining Process Parameters for Sustainable Production

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 38 ◽  
Author(s):  
Misbah Niamat ◽  
Shoaib Sarfraz ◽  
Wasim Ahmad ◽  
Essam Shehab ◽  
Konstantinos Salonitis
Keyword(s):  
Surface Roughness ◽  
Wear Rate ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Electrode Wear ◽  
Multi Objective Optimization ◽  
Electro Discharge Machining ◽  
Pulse On Time

Electro Discharge Machining (EDM) can be an element of a sustainable manufacturing system. In the present study, the sustainability implications of EDM of special-purpose steels are investigated. The machining quality (minimum surface roughness), productivity (material removal rate) improvement and cost (electrode wear rate) minimization are considered. The influence and correlation of the three most important machining parameters including pulse on time, current and pulse off time have been investigated on sustainable production. Empirical models have been established based on response surface methodology for material removal rate, electrode wear rate and surface roughness. The investigation, validation and deeper insights of developed models have been performed using ANOVA, validation experiments and microstructure analysis respectively. Pulse on time and current both appeared as the prominent process parameters having a significant influence on all three measured performance metrics. Multi-objective optimization has been performed in order to achieve sustainability by establishing a compromise between minimum quality, minimum cost and maximum productivity. Sustainability contour plots have been developed to select suitable desirability. The sustainability results indicated that a high level of 75.5% sustainable desirability can be achieved for AISI L3 tool steel. The developed models can be practiced on the shop floor practically to attain a certain desirability appropriate for particular machine limits.

Multi-Objective Optimization of Electrical Discharge Machining Parameters for 2024 Aluminum Alloy Using Grey-Taguchi Method

2020 ◽  
Vol 998 ◽  
pp. 55-60
Author(s):  
Jurapun Phimoolchat ◽  
Apiwat Muttamara
Keyword(s):  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Electrode Wear ◽  
Machining Parameters ◽  
Multi Objective Optimization ◽  
2024 Aluminum Alloy ◽  
Multi Objective ◽  
Effect Estimation ◽  
Voltage Performance ◽  
Pulse On Time

This paper focused on Grey relational analysis (GRA) to optimize EDM parameters through multi-objective optimization for Al2024 aluminum and electrode graphite ISO-63 was used as a cutting tool. The process parameters pulse on time, duty factor, pulse current and open voltage. Performance characteristics examined included material removal rate (MRR), electrode wear ratio (EWR) and surface roughness (SR). Taguchi’s 27 experimental designs, often called an orthogonal array (OA), was utilized to ignore interaction and concentrate on main effect estimation. GRA was performed to optimize input parameters levels. Results were that MRR increased from 35.00 to 35.11 mm3/min, EWR decreased from 11.63 to 10.89 mm3/min, and SR decreased from 5.01 to 4.97 μm. Taguchi and GRA resulted in clear improvements in MRR, EWR, and SR.

Sign in / Sign up

Export Citation Format

Share Document