Singh, AK and Murugan, S and Kumar, D and Sharma, S (2020) A comparative assessment of topsis variants in multi-attribute optimization of EDM process parameters. [Book Chapter]
Full text not available from this repository.Abstract
The machining aspects of EDM sustains the discharge energy and discharge duration. This generated energy causes debris removal and evaporation of material. Therefore, in this chapter, an investigation is carried out to perform optimization of input process variables through the EDM process of ASTM A681 steel metal wielding the modified weighted TOPSIS MCDM technique. The study consists of process variables like discharge current, discharge duration, and discharge energy for the output response measurement of material removal rate (MRR) and average surface roughness. The multi-criteria decision approach is based on entropy, SDV, and mean-weighted TOPSIS and finds an output response related to the closeness coefficient between the feasible solution and the ideal solution. From the result, it is observed that the rank produced by mean weighted TOPSIS and SDV-TOPSIS are almost the same. But the rank produced by entropy-TOPSIS is slightly different as compared to the other method. However, the first, second, and third ranks are the same for all three techniques. © 2021, IGI Global.
| Item Type: | Book Chapter |
|---|---|
| Publication: | Data-Driven Optimization of Manufacturing Processes |
| Publisher: | IGI Global |
| Additional Information: | The copyright for this article belongs to the IGI Global. |
| Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |
| Date Deposited: | 06 Oct 2022 11:14 |
| Last Modified: | 06 Oct 2022 11:14 |
| URI: | https://eprints.iisc.ac.in/id/eprint/77267 |
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