会议论文详细信息
2016 2nd International Conference on Mechanical Engineering and Automation Science
Experimental Investigation of process parameters influence on machining Inconel 800 in the Electrical Spark Eroding Machine
机械制造;无线电电子学
Karunakaran, K.^1 ; Chandrasekaran, M.^2
Vels University, Chennai, TN, India^1
Dept. of Mechanical Engineering, Vels University, TN, India^2
关键词: Conventional machining;    Difficult to machine materials;    Electrical discharge machining;    Experimental investigations;    Full factorial design;    Material removal rate;    Measures of performance;    Nickel- based superalloys;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/157/1/012007/pdf
DOI  :  10.1088/1757-899X/157/1/012007
来源: IOP
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【 摘 要 】
The Electrical Spark Eroding Machining is an entrenched sophisticated machining process for producing complex geometry with close tolerances in hard materials like super alloy which are extremely difficult-to-machine by using conventional machining processes. It is sometimes offered as a better alternative or sometimes as an only alternative for generating accurate 3D complex shapes of macro, micro and nano-features in such difficult-to-machine materials among other advanced machining processes. The accomplishment of such challenging task by use of Electrical Spark Eroding Machining or Electrical Discharge Machining (EDM) is depending upon selection of apt process parameters. This paper is about analyzing the influencing of parameter in electrical eroding machining for Inconel 800 with electrolytic copper as a tool. The experimental runs were performed with various input conditions to process Inconel 800 nickel based super alloy for analyzing the response of material removal rate, surface roughness and tool wear rate. These are the measures of performance of individual experimental value of parameters such as pulse on time, Pulse off time, peak current. Taguchi full factorial Design by using Minitab release 14 software was employed to meet the manufacture requirements of preparing process parameter selection card for Inconel 800 jobs. The individual parameter's contribution towards surface roughness was observed from 13.68% to 64.66%.
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