Metallurgical Approach Towards Explaining Optimized EDM Process Parameters for Better Surface Integrity of AISI D2 Tool Steel

2016 ◽  
Vol 70 (5) ◽  
pp. 1183-1191 ◽  
Author(s):  
Debasis Nayak ◽  
Shiba Narayan Sahu ◽  
Suhrit Mula
Keyword(s):  
Tool Steel ◽  
Process Parameters ◽  
Surface Integrity ◽  
Aisi D2 ◽  
Aisi D2 Tool Steel ◽  
Edm Process

scholarly journals Multiresponse Optimization of Edm Process with Nanofluids Using Topsis Method and Genetic Algorithm

2016 ◽  
Vol 63 (1) ◽  
pp. 45-71 ◽  
Author(s):  
S. Prabhu ◽  
B. K. Vinayagam
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Regression Model ◽  
Tool Steel ◽  
Machining Process ◽  
Machining Parameters ◽  
Topsis Method ◽  
Aisi D2 ◽  
Aisi D2 Tool Steel ◽  
Edm Process

Abstract Electrical Discharge Machining (EDM) process with copper tool electrode is used to investigate the machining characteristics of AISI D2 tool steel material. The multi-wall carbon nanotube is mixed with dielectric fluids and its end characteristics like surface roughness, fractal dimension and metal removal rate (MRR) are analysed. In this EDM process, regression model is developed to predict surface roughness. The collection of experimental data is by using L9 Orthogonal Array. This study investigates the optimization of EDM machining parameters for AISI D2 Tool steel using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Analysis of variance (ANOVA) and F-test are used to check the validity of the regression model and to determine the significant parameter affecting the surface roughness. Atomic Force Microscope (AFM) is used to capture the machined image at micro size and using spectroscopy software the surface roughness and fractal dimensions are analysed. Later, the parameters are optimized using MINITAB 15 software, and regression equation is compared with the actual measurements of machining process parameters. The developed mathematical model is further coupled with Genetic Algorithm (GA) to determine the optimum conditions leading to the minimum surface roughness value of the workpiece.

High-feed turning of AISI D2 tool steel using multi-radii tool inserts: Tool life, material removed, and workpiece surface integrity evaluation

2016 ◽  
Vol 32 (6) ◽  
pp. 670-677 ◽  
Author(s):  
Sarmad Ali Khan ◽  
Muhammad Aftab Ahmad ◽  
Muhammad Qaiser Saleem ◽  
Zakria Ghulam ◽  
Muhammad Asif Mahmood Qureshi
Keyword(s):  
Tool Life ◽  
Tool Steel ◽  
Surface Integrity ◽  
Workpiece Surface ◽  
Aisi D2 ◽  
High Feed ◽  
Aisi D2 Tool Steel

scholarly journals Machining of AISI D2 Tool Steel with Multiple Hole Electrodes by EDM Process

2018 ◽  
Vol 330 ◽  
pp. 012067 ◽  
Author(s):  
R Prasad Prathipati ◽  
Venkateswarlu Devuri ◽  
Muralimohan Cheepu ◽  
Kondaiah Gudimetla ◽  
R Uzwal Kiran
Keyword(s):  
Tool Steel ◽  
Aisi D2 ◽  
Aisi D2 Tool Steel ◽  
Edm Process

scholarly journals Comparison of surface characteristics and micro hardness of AISI D2 tool steel and LM13 aluminum alloy machined under dry EDM (green machining) process

2021 ◽  
Vol 49 (2) ◽  
pp. 488-493
Author(s):  
N. Pragadish ◽  
Kumar Pradeep
Keyword(s):  
Aluminum Alloy ◽  
Tool Steel ◽  
Machining Process ◽  
Micro Hardness ◽  
Micro Structure ◽  
Dry Edm ◽  
Aisi D2 ◽  
Pulse On Time ◽  
Aisi D2 Tool Steel ◽  
Edm Process

In this experimental work, the micro structure and the micro hardness of the surfaces machined under the dry EDM process is analyzed for AISI D2 tool steel and LM13 aluminum alloy. The experiments were conducted using copper tool electrode. Few modifications were made in the tool for conducting the experiments under dry EDM process. Discharge current, pulse on time, voltage, pressure, tool rotational speed and the duty factor were used as the various process parameters and their influence over the micro structure and micro hardness of the machined surfaces were analyzed. Better results were observed in the dry EDM process for AISI D2 tool steel, whereas dry EDM process did not reveal appreciable results for LM13 aluminum alloy.

Sign in / Sign up

Export Citation Format

Share Document