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Simultaneous optimization of process parameters during abrasive water jet machining on glass fibre reinforced polymer
https://orcid.org/http://orcid.org/0000-0003-1979-3349
For hard-to-cut materials and composites abrasive water jet machine (AWJM) has been identified as a lucrative and competent material removal technique, in which a high-speed jet of abrasive and water strikes the workpiece surface to erode the desired material. In this paper, the influence of key input parameters (water pressure, standoff distance, traverse rate and abrasive mass flow rate) on responses such as surface roughness (Ra), kerf taper (Kt), and maximum delamination length (Max. DLL) of machined specimen during AWJM of glass fibre reinforced polymer (GFRP) composite is examined through experimental investigations. Response surface methodology (RSM) based central composite design (CCD) approach and Taguchi design based L16 orthogonal array is used for experimentation. Moreover, a hybrid approach of RSM-Desirability and Taguchi Methodology-Grey Relational Analysis (TM-GRA) are used for Multi-response optimization (MRO) and their results are compared for evaluation of process parameters of AWJM on GFRP. Confirmation tests are carried out to validate the experimental results, and they showed that using the RSM-Desirability approach, at the optimum level of parameters, the percentage errors for Ra, Kt, and Max. DLL have been less than 6.312%, 7.229%, and 6.78%, respectively. As per the results Ra, Kt and Max. DLL improves by 12.6%, 14.4% and 73.6% respectively by using RSM-Desirability approach as compared to TM-GRA. The microscopic features of optimally machined surfaces are investigated using the scanning electron microscope (SEM).
Simultaneous optimization of process parameters during abrasive water jet machining on glass fibre reinforced polymer
https://orcid.org/http://orcid.org/0000-0003-1979-3349
For hard-to-cut materials and composites abrasive water jet machine (AWJM) has been identified as a lucrative and competent material removal technique, in which a high-speed jet of abrasive and water strikes the workpiece surface to erode the desired material. In this paper, the influence of key input parameters (water pressure, standoff distance, traverse rate and abrasive mass flow rate) on responses such as surface roughness (Ra), kerf taper (Kt), and maximum delamination length (Max. DLL) of machined specimen during AWJM of glass fibre reinforced polymer (GFRP) composite is examined through experimental investigations. Response surface methodology (RSM) based central composite design (CCD) approach and Taguchi design based L16 orthogonal array is used for experimentation. Moreover, a hybrid approach of RSM-Desirability and Taguchi Methodology-Grey Relational Analysis (TM-GRA) are used for Multi-response optimization (MRO) and their results are compared for evaluation of process parameters of AWJM on GFRP. Confirmation tests are carried out to validate the experimental results, and they showed that using the RSM-Desirability approach, at the optimum level of parameters, the percentage errors for Ra, Kt, and Max. DLL have been less than 6.312%, 7.229%, and 6.78%, respectively. As per the results Ra, Kt and Max. DLL improves by 12.6%, 14.4% and 73.6% respectively by using RSM-Desirability approach as compared to TM-GRA. The microscopic features of optimally machined surfaces are investigated using the scanning electron microscope (SEM).
Simultaneous optimization of process parameters during abrasive water jet machining on glass fibre reinforced polymer
https://orcid.org/http://orcid.org/0000-0003-1979-3349
For hard-to-cut materials and composites abrasive water jet machine (AWJM) has been identified as a lucrative and competent material removal technique, in which a high-speed jet of abrasive and water strikes the workpiece surface to erode the desired material. In this paper, the influence of key input parameters (water pressure, standoff distance, traverse rate and abrasive mass flow rate) on responses such as surface roughness (Ra), kerf taper (Kt), and maximum delamination length (Max. DLL) of machined specimen during AWJM of glass fibre reinforced polymer (GFRP) composite is examined through experimental investigations. Response surface methodology (RSM) based central composite design (CCD) approach and Taguchi design based L16 orthogonal array is used for experimentation. Moreover, a hybrid approach of RSM-Desirability and Taguchi Methodology-Grey Relational Analysis (TM-GRA) are used for Multi-response optimization (MRO) and their results are compared for evaluation of process parameters of AWJM on GFRP. Confirmation tests are carried out to validate the experimental results, and they showed that using the RSM-Desirability approach, at the optimum level of parameters, the percentage errors for Ra, Kt, and Max. DLL have been less than 6.312%, 7.229%, and 6.78%, respectively. As per the results Ra, Kt and Max. DLL improves by 12.6%, 14.4% and 73.6% respectively by using RSM-Desirability approach as compared to TM-GRA. The microscopic features of optimally machined surfaces are investigated using the scanning electron microscope (SEM).
Simultaneous optimization of process parameters during abrasive water jet machining on glass fibre reinforced polymer
Int J Interact Des Manuf
Dahiya, Anil Kumar (Autor:in) / Bhuyan, Basanta Kumar (Autor:in) / Acharya, Vikas (Autor:in) / Kaushik, Atul Kumar (Autor:in) / Kumar, Shailendra (Autor:in)
01.09.2024
18 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
AWJM , Delamination , GFRP , Kerf taper , Optimization , RSM-desirability , Surface roughness , TM-GRA Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
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