Electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of AA6061-TiB2 in-situ composites
The current paper describes the multiple response optimization of electrochemical machining (ECM) responses, such as specific energy consumption (SEC), overcut, and material removal rate (MRR), aimed at sustainable machining. The experimental work was conducted on electrochemical drilling of AA606...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Prince of Songkla University
2021-12-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | https://rdo.psu.ac.th/sjst/journal/43-6/4.pdf |
| _version_ | 1811324704095469568 |
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| author | S. Chandrasekhar N. B. V. Prasad |
| author_facet | S. Chandrasekhar N. B. V. Prasad |
| author_sort | S. Chandrasekhar |
| collection | DOAJ |
| description | The current paper describes the multiple response optimization of electrochemical machining (ECM) responses, such as
specific energy consumption (SEC), overcut, and material removal rate (MRR), aimed at sustainable machining. The
experimental work was conducted on electrochemical drilling of AA6061-TiB2 composite material. The concentration of
electrolyte, applied voltage, and current were selected as the governing parameters in machining process. The Technique for
Order of Preference by Similarity to the Ideal Solution (TOPSIS) was applied to identify the optimal set of machining parameters
based on the closeness coefficient (CC). The weighting of responses was allotted by using the Analytical hierarchy process
(AHP), or equal weights, or entropy method. The results indicate that the closeness coefficient varied by weighting. A
comparative analysis of the confirmation experiments showed that the optimal level of machining parameters obtained from the
entropy weighting method gave the largest improvement in the closeness coefficient to attain sustainable machining. |
| first_indexed | 2024-04-13T14:19:06Z |
| format | Article |
| id | doaj.art-ce4e55ba262f4a4db58f311ed8a0ec8c |
| institution | Directory Open Access Journal |
| issn | 0125-3395 |
| language | English |
| last_indexed | 2024-04-13T14:19:06Z |
| publishDate | 2021-12-01 |
| publisher | Prince of Songkla University |
| record_format | Article |
| series | Songklanakarin Journal of Science and Technology (SJST) |
| spelling | doaj.art-ce4e55ba262f4a4db58f311ed8a0ec8c2022-12-22T02:43:33ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952021-12-01436 1563156910.14456/sjst-psu.2021.204Electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of AA6061-TiB2 in-situ compositesS. ChandrasekharN. B. V. PrasadThe current paper describes the multiple response optimization of electrochemical machining (ECM) responses, such as specific energy consumption (SEC), overcut, and material removal rate (MRR), aimed at sustainable machining. The experimental work was conducted on electrochemical drilling of AA6061-TiB2 composite material. The concentration of electrolyte, applied voltage, and current were selected as the governing parameters in machining process. The Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) was applied to identify the optimal set of machining parameters based on the closeness coefficient (CC). The weighting of responses was allotted by using the Analytical hierarchy process (AHP), or equal weights, or entropy method. The results indicate that the closeness coefficient varied by weighting. A comparative analysis of the confirmation experiments showed that the optimal level of machining parameters obtained from the entropy weighting method gave the largest improvement in the closeness coefficient to attain sustainable machining.https://rdo.psu.ac.th/sjst/journal/43-6/4.pdfelectrochemical machiningin-situ compositessustainable machiningmultiple response optimizationresponse weighting method |
| spellingShingle | S. Chandrasekhar N. B. V. Prasad Electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of AA6061-TiB2 in-situ composites Songklanakarin Journal of Science and Technology (SJST) electrochemical machining in-situ composites sustainable machining multiple response optimization response weighting method |
| title | Electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of AA6061-TiB2 in-situ composites |
| title_full | Electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of AA6061-TiB2 in-situ composites |
| title_fullStr | Electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of AA6061-TiB2 in-situ composites |
| title_full_unstemmed | Electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of AA6061-TiB2 in-situ composites |
| title_short | Electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of AA6061-TiB2 in-situ composites |
| title_sort | electrochemical drilling and multi response optimization using different methods of assigning weights to the responses for sustainable machining of aa6061 tib2 in situ composites |
| topic | electrochemical machining in-situ composites sustainable machining multiple response optimization response weighting method |
| url | https://rdo.psu.ac.th/sjst/journal/43-6/4.pdf |
| work_keys_str_mv | AT schandrasekhar electrochemicaldrillingandmultiresponseoptimizationusingdifferentmethodsofassigningweightstotheresponsesforsustainablemachiningofaa6061tib2insitucomposites AT nbvprasad electrochemicaldrillingandmultiresponseoptimizationusingdifferentmethodsofassigningweightstotheresponsesforsustainablemachiningofaa6061tib2insitucomposites |