Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM
Machining of Titanium alloys (Ti6Al4V) becomes more vital due to its essential role in biomedical, aerospace, and many other industries owing to the enhanced engineering properties. In the current study, a Box–Behnken design of the response surface methodology (RSM) was used to investigate the perfo...
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MDPI AG
2021-12-01
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| Online Access: | https://www.mdpi.com/1996-1944/14/24/7746 |
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| author | Kishan Fuse Rakesh Chaudhari Jay Vora Vivek K. Patel Luis Norberto Lopez de Lacalle |
| author_facet | Kishan Fuse Rakesh Chaudhari Jay Vora Vivek K. Patel Luis Norberto Lopez de Lacalle |
| author_sort | Kishan Fuse |
| collection | DOAJ |
| description | Machining of Titanium alloys (Ti6Al4V) becomes more vital due to its essential role in biomedical, aerospace, and many other industries owing to the enhanced engineering properties. In the current study, a Box–Behnken design of the response surface methodology (RSM) was used to investigate the performance of the abrasive water jet machining (AWJM) of Ti6Al4V. For process parameter optimization, a systematic strategy combining RSM and a heat-transfer search (HTS) algorithm was investigated. The nozzle traverse speed (T<sub>v</sub>), abrasive mass flow rate (A<sub>f</sub>), and stand-off distance (S<sub>d</sub>) were selected as AWJM variables, whereas the material removal rate (MRR), surface roughness (SR), and kerf taper angle (θ) were considered as output responses. Statistical models were developed for the response, and Analysis of variance (ANOVA) was executed for determining the robustness of responses. The single objective optimization result yielded a maximum MRR of 0.2304 g/min (at T<sub>v</sub> of 250 mm/min, A<sub>f</sub> of 500 g/min, and S<sub>d</sub> of 1.5 mm), a minimum SR of 2.99 µm, and a minimum θ of 1.72 (both responses at T<sub>v</sub> of 150 mm/min, A<sub>f</sub> of 500 g/min, and S<sub>d</sub> of 1.5 mm). A multi-objective HTS algorithm was implemented, and Pareto optimal points were produced. 3D and 2D plots were plotted using Pareto optimal points, which highlighted the non-dominant feasible solutions. The effectiveness of the suggested model was proved in predicting and optimizing the AWJM variables. The surface morphology of the machined surfaces was investigated using the scanning electron microscope. The confirmation test was performed using optimized cutting parameters to validate the results. |
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| spelling | doaj.art-3d1ee30a880b4e689af52eba252f8f092023-11-23T09:22:23ZengMDPI AGMaterials1996-19442021-12-011424774610.3390/ma14247746Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSMKishan Fuse0Rakesh Chaudhari1Jay Vora2Vivek K. Patel3Luis Norberto Lopez de Lacalle4Department of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, IndiaDepartment of Mechanical Engineering, University of the Basque Country, Escuela Superior de Ingenieros Alameda de Urquijo s/n., 48013 Bilbao, SpainMachining of Titanium alloys (Ti6Al4V) becomes more vital due to its essential role in biomedical, aerospace, and many other industries owing to the enhanced engineering properties. In the current study, a Box–Behnken design of the response surface methodology (RSM) was used to investigate the performance of the abrasive water jet machining (AWJM) of Ti6Al4V. For process parameter optimization, a systematic strategy combining RSM and a heat-transfer search (HTS) algorithm was investigated. The nozzle traverse speed (T<sub>v</sub>), abrasive mass flow rate (A<sub>f</sub>), and stand-off distance (S<sub>d</sub>) were selected as AWJM variables, whereas the material removal rate (MRR), surface roughness (SR), and kerf taper angle (θ) were considered as output responses. Statistical models were developed for the response, and Analysis of variance (ANOVA) was executed for determining the robustness of responses. The single objective optimization result yielded a maximum MRR of 0.2304 g/min (at T<sub>v</sub> of 250 mm/min, A<sub>f</sub> of 500 g/min, and S<sub>d</sub> of 1.5 mm), a minimum SR of 2.99 µm, and a minimum θ of 1.72 (both responses at T<sub>v</sub> of 150 mm/min, A<sub>f</sub> of 500 g/min, and S<sub>d</sub> of 1.5 mm). A multi-objective HTS algorithm was implemented, and Pareto optimal points were produced. 3D and 2D plots were plotted using Pareto optimal points, which highlighted the non-dominant feasible solutions. The effectiveness of the suggested model was proved in predicting and optimizing the AWJM variables. The surface morphology of the machined surfaces was investigated using the scanning electron microscope. The confirmation test was performed using optimized cutting parameters to validate the results.https://www.mdpi.com/1996-1944/14/24/7746abrasive waterjet machining (AWJM)Ti6Al4Vresponse surface methodology (RSM)optimizationheat transfer search (HTS) algorithmsurface morphology |
| spellingShingle | Kishan Fuse Rakesh Chaudhari Jay Vora Vivek K. Patel Luis Norberto Lopez de Lacalle Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM Materials abrasive waterjet machining (AWJM) Ti6Al4V response surface methodology (RSM) optimization heat transfer search (HTS) algorithm surface morphology |
| title | Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM |
| title_full | Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM |
| title_fullStr | Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM |
| title_full_unstemmed | Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM |
| title_short | Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM |
| title_sort | multi response optimization of abrasive waterjet machining of ti6al4v using integrated approach of utilized heat transfer search algorithm and rsm |
| topic | abrasive waterjet machining (AWJM) Ti6Al4V response surface methodology (RSM) optimization heat transfer search (HTS) algorithm surface morphology |
| url | https://www.mdpi.com/1996-1944/14/24/7746 |
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