Optimization of Process Variables in the Drilling of LM6/B<sub>4</sub>C Composites through Grey Relational Analysis
The objective of this investigational analysis was to study the influence of process variables on the response during the drilling of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>LM</mi>...
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| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/15/14/4860 |
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| author | C. Sarala Rubi J. Udaya Prakash Robert Čep Muniyandy Elangovan |
| author_facet | C. Sarala Rubi J. Udaya Prakash Robert Čep Muniyandy Elangovan |
| author_sort | C. Sarala Rubi |
| collection | DOAJ |
| description | The objective of this investigational analysis was to study the influence of process variables on the response during the drilling of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>LM</mi><mn>6</mn><mo>/</mo><msub><mi mathvariant="normal">B</mi><mn>4</mn></msub><mi mathvariant="normal">C</mi></mrow></semantics></math></inline-formula> composite materials. Stir casting was employed to produce the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>LM</mi><mn>6</mn><mo>/</mo><msub><mi mathvariant="normal">B</mi><mn>4</mn></msub><mi mathvariant="normal">C</mi></mrow></semantics></math></inline-formula> composites. A Vertical Machining Center (VMC) with a dynamometer was used to drill the holes and to record the thrust force. An L27 orthogonal array was used to carry out the experimental work. A grey relational analysis (GRA) was employed to perform optimization in order to attain the lowest Thrust Force (TF), Surface Roughness (SR) and Burr Height (BH). For minimal responses, the optimum levels of the process variables viz. the feed rate (F), spindle speed (S), drill material (D) and reinforcing percentage (R) were determined. The process variables in the drilling of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>LM</mi><mn>6</mn><mo>/</mo><msub><mi mathvariant="normal">B</mi><mn>4</mn></msub><mi mathvariant="normal">C</mi></mrow></semantics></math></inline-formula> composites were indeed optimized, according to confirmational investigations. The predicted Grey Relational Grade was 0.846, whereas the experimental GRG was 0.865, with a 2.2% error—indicating that the optimization process was valid. |
| first_indexed | 2024-03-09T13:28:47Z |
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| id | doaj.art-f4534e911d7f4a6da93f2cb8f986cd0c |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T13:28:47Z |
| publishDate | 2022-07-01 |
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| series | Materials |
| spelling | doaj.art-f4534e911d7f4a6da93f2cb8f986cd0c2023-11-30T21:21:20ZengMDPI AGMaterials1996-19442022-07-011514486010.3390/ma15144860Optimization of Process Variables in the Drilling of LM6/B<sub>4</sub>C Composites through Grey Relational AnalysisC. Sarala Rubi0J. Udaya Prakash1Robert Čep2Muniyandy Elangovan3Department of Physics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi 600062, IndiaDepartment of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi 600062, IndiaDepartment of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 708 00 Ostrava, Czech RepublicDepartment of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi 600062, IndiaThe objective of this investigational analysis was to study the influence of process variables on the response during the drilling of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>LM</mi><mn>6</mn><mo>/</mo><msub><mi mathvariant="normal">B</mi><mn>4</mn></msub><mi mathvariant="normal">C</mi></mrow></semantics></math></inline-formula> composite materials. Stir casting was employed to produce the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>LM</mi><mn>6</mn><mo>/</mo><msub><mi mathvariant="normal">B</mi><mn>4</mn></msub><mi mathvariant="normal">C</mi></mrow></semantics></math></inline-formula> composites. A Vertical Machining Center (VMC) with a dynamometer was used to drill the holes and to record the thrust force. An L27 orthogonal array was used to carry out the experimental work. A grey relational analysis (GRA) was employed to perform optimization in order to attain the lowest Thrust Force (TF), Surface Roughness (SR) and Burr Height (BH). For minimal responses, the optimum levels of the process variables viz. the feed rate (F), spindle speed (S), drill material (D) and reinforcing percentage (R) were determined. The process variables in the drilling of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>LM</mi><mn>6</mn><mo>/</mo><msub><mi mathvariant="normal">B</mi><mn>4</mn></msub><mi mathvariant="normal">C</mi></mrow></semantics></math></inline-formula> composites were indeed optimized, according to confirmational investigations. The predicted Grey Relational Grade was 0.846, whereas the experimental GRG was 0.865, with a 2.2% error—indicating that the optimization process was valid.https://www.mdpi.com/1996-1944/15/14/4860compositesparametersoptimizationdrillingANOVA |
| spellingShingle | C. Sarala Rubi J. Udaya Prakash Robert Čep Muniyandy Elangovan Optimization of Process Variables in the Drilling of LM6/B<sub>4</sub>C Composites through Grey Relational Analysis Materials composites parameters optimization drilling ANOVA |
| title | Optimization of Process Variables in the Drilling of LM6/B<sub>4</sub>C Composites through Grey Relational Analysis |
| title_full | Optimization of Process Variables in the Drilling of LM6/B<sub>4</sub>C Composites through Grey Relational Analysis |
| title_fullStr | Optimization of Process Variables in the Drilling of LM6/B<sub>4</sub>C Composites through Grey Relational Analysis |
| title_full_unstemmed | Optimization of Process Variables in the Drilling of LM6/B<sub>4</sub>C Composites through Grey Relational Analysis |
| title_short | Optimization of Process Variables in the Drilling of LM6/B<sub>4</sub>C Composites through Grey Relational Analysis |
| title_sort | optimization of process variables in the drilling of lm6 b sub 4 sub c composites through grey relational analysis |
| topic | composites parameters optimization drilling ANOVA |
| url | https://www.mdpi.com/1996-1944/15/14/4860 |
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