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http://hdl.handle.net/10603/332783
Title: | Edm machining analysis of zirconium and nickel powder mixed dielectric on performance of high carbon high chromium steel |
Researcher: | Vijayakumar N |
Guide(s): | Ramesh S |
Keywords: | Engineering and Technology Engineering Engineering Mechanical chromium steel Edm machining |
University: | Anna University |
Completed Date: | 2020 |
Abstract: | Electrical Discharge Machining (EDM) is a well-founded machining option in the development of the manufacturing industry. It is appropriate for extremely difficult for the processing, complex rigid material parts by conventional machining processes. By using EDM, various kinds of products can be manufactured like dies, molds, automobile components, parts of aircraft, spacecraft, and surgical components could be completely machined by EDM. Recently, the mechanical industry has achieved an exponential increase in its production capacity but still, EDM is not used at their complete efficiency. This limitation is a result of the failure to run the EDM optimally operating conditions.This research work is mainly concentrated on aspects related to metal removal rates, which are one of the most essential characteristics to select the optimal condition of the process and economic aspect. The effect of process variables like pulse off time, pulse on time and peak current, and on response parameters like Surface Roughness (SR) and Material Removal Rate (MRR), has been investigated by not mixing any powder, mixing zirconium and nickel powder independently and blended equal amount of zirconium and nickel powder into the dielectric fluid for PMEDM of HCHCr die steel utilizing copper is in the form of electrode. In the present study, the model for output response which is used to predict the material removal rate and surface roughness was developed by utilizing RSM. Further the statistical analysis of variance (ANOVA) was carried out to find out which process parameters are more important and the optimization of these multiple performances was derived by utilizing Grey relational analysis (GRA). newline |
Pagination: | xviii, 149p |
URI: | http://hdl.handle.net/10603/332783 |
Appears in Departments: | Faculty of Mechanical Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 39.6 kB | Adobe PDF | View/Open |
02_certificates.pdf | 83.92 kB | Adobe PDF | View/Open | |
03_vivaproceedings.pdf | 234.9 kB | Adobe PDF | View/Open | |
04_bonafidecertificate.pdf | 101.93 kB | Adobe PDF | View/Open | |
05_abstracts.pdf | 24.4 kB | Adobe PDF | View/Open | |
06_acknowledgements.pdf | 107.93 kB | Adobe PDF | View/Open | |
07_contents.pdf | 32.58 kB | Adobe PDF | View/Open | |
08_listoftables.pdf | 145.18 kB | Adobe PDF | View/Open | |
09_listoffigures.pdf | 145.32 kB | Adobe PDF | View/Open | |
10_listofabbreviations.pdf | 26.71 kB | Adobe PDF | View/Open | |
11_chapter1.pdf | 4.47 MB | Adobe PDF | View/Open | |
12_chapter2.pdf | 4.53 MB | Adobe PDF | View/Open | |
13_chapter3.pdf | 4.53 MB | Adobe PDF | View/Open | |
14_chapter4.pdf | 4.53 MB | Adobe PDF | View/Open | |
15_chapter5.pdf | 4.53 MB | Adobe PDF | View/Open | |
16_chapter6.pdf | 4.52 MB | Adobe PDF | View/Open | |
17_conclusion.pdf | 4.52 MB | Adobe PDF | View/Open | |
18_references.pdf | 4.52 MB | Adobe PDF | View/Open | |
19_listofpublications.pdf | 4.47 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 65.94 kB | Adobe PDF | View/Open |
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