Parameter Optimization of Electro Discharge Machining Of AISI H11 Die Steel Material and Its Tool Wear Behavior by Using Taguchi Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 1
Abstract
In this paper, the cutting of AISI H11 Die Steel material using electro discharge machining (EDM) with a copper electrode by using Taguchi methodology has been reported. The Taguchi method is used to formulate the experimental layout, to analyses the effect of each parameter on the machining characteristics, and to predict the optimal choice for each EDM parameter such as peak current, gap voltage, duty cycle and pulse on time. It is found that these parameters have a significant influence on machining characteristic such as material removal rate (MRR), electrode wear rate (EWR), radial overcut (ROC). The analysis using Taguchi method reveals that, in general the peak current significantly affects the MRR, EWR and ROC. Electric discharge machining (EDM) is one of the maximum commonly used nontraditional processes for making accurate intricate shapes on hard materials like die steels and is most preferred process to be followed for die and mold making. In this research work, Experiment plan has been designed using taguchi technique to study the effect of different parameters and their levels by conducting least number of experiments. As the most popularly used material in die and mold casting industries are the die steels hence for this work AISI H11 die steel are used as the workpiece material for slot cutting. The results are analyzed using analysis of variance (ANOVA) both analytically and graphically. Significant factors affecting the output parameters have been found using F-test and percentage contribution. From the experimental investigation copper tool followed by C18000 tool has been found to give the best MRR results and high tool wear, whereas tungsten tool has been found to give the least MRR accompanied by least tool wear.
Authors and Affiliations
Krishan Kant, Parveen Tyagi, Umesh Gupta, Shiv Kumar
Keywords
Related Articles
- EP ID EP21576
- DOI -
- Views 191
- Downloads 4
The Design of Channel Estimation and Blocking Probability for Multi-Hop Wireless Communication Network
The paper presents the design of channel estimation and blocking probability for multi-hop wireless communication network (MH-WCN). This work proposed a bidirectional network coding 4−hop transmission strategy and follo...
Numerical Simulation on Retrofitting in Roof Corner Joint Strengthened With FRP Using FEM Method
Repair and strengthening of damaged or vulnerable reinforced concrete structures is important in order to guarantee the safety of residents or users. Beams are important structural elements for withstanding loads, so fi...
Enhanced Architecture Design for Social Media, ECommerce and News Using Advanced Micro Blogging Information
To interconnecting three various servers like, social network, E-commerce application and news channels to develop an enhanced web application. Also enhanced micro blogging information has been implemented for efficient...
Sentiment Analysis on Twitter by using Machine Learning Technique
Due to the vast opinion of rich web resources such as discussion forum, review sites , blogs and news corpora on the market in digital form, a lot of analysis is focusing on the area of sentiment analysis. People are tr...
Detection of Mycotoxins from the ground nuts samples of Warangal District, Telangana State
The main objective of this study is to conduct survey on ground nut fields and to detect the mycotoxin producing fungi and variety of mycotoxin. All the samples were collected from various systems such as freshly harves...