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Abrasive water jet machining of glass fibre reinforced polymer composite: experimental investigation, modelling and optimization
https://orcid.org/http://orcid.org/0000-0003-1979-3349
This paper describes an experimental investigation, modelling and optimization during abrasive water jet machining (AWJM) of glass fibre reinforced polymer composite. Four process parameters namely water pressure, stand-off distance, traverse rate and abrasive mass flow rate are considered to study their influence on maximum delamination length (Max. DLL), surface roughness (Ra) and kerf taper (Kt). The second-order regression models are developed for the maximum delamination length, surface roughness and kerf taper in AWJM of glass fibre reinforced polymer composite using response surface methodology based central composite design approach. From the regression models, it is revealed that delamination decreases with an increase in abrasive mass flow rate, with a decrease in traverse rate. Surface roughness decreases with increase in water pressure and decrease in traverse rate. Kerf taper decreases with increase in water pressure; and decrease in traverse rate and stand-off distance. Further, response surface methodology based desirability function is performed to minimize the Max. DLL, Ra and Kt and the desirability values were found for Ra = 0.936, Kt = 0.942 and Max. DLL = 1 with a combined desirability rating of 0.959 which was reasonably good and acceptable. From the confirmation test of multi-response optimization, it was obvious that the percentage error at optimum level of process parameters for Ra, Kt, and Max. DLL were less than 6.312%, 7.229%, and 4.318%, respectively.
Abrasive water jet machining of glass fibre reinforced polymer composite: experimental investigation, modelling and optimization
https://orcid.org/http://orcid.org/0000-0003-1979-3349
This paper describes an experimental investigation, modelling and optimization during abrasive water jet machining (AWJM) of glass fibre reinforced polymer composite. Four process parameters namely water pressure, stand-off distance, traverse rate and abrasive mass flow rate are considered to study their influence on maximum delamination length (Max. DLL), surface roughness (Ra) and kerf taper (Kt). The second-order regression models are developed for the maximum delamination length, surface roughness and kerf taper in AWJM of glass fibre reinforced polymer composite using response surface methodology based central composite design approach. From the regression models, it is revealed that delamination decreases with an increase in abrasive mass flow rate, with a decrease in traverse rate. Surface roughness decreases with increase in water pressure and decrease in traverse rate. Kerf taper decreases with increase in water pressure; and decrease in traverse rate and stand-off distance. Further, response surface methodology based desirability function is performed to minimize the Max. DLL, Ra and Kt and the desirability values were found for Ra = 0.936, Kt = 0.942 and Max. DLL = 1 with a combined desirability rating of 0.959 which was reasonably good and acceptable. From the confirmation test of multi-response optimization, it was obvious that the percentage error at optimum level of process parameters for Ra, Kt, and Max. DLL were less than 6.312%, 7.229%, and 4.318%, respectively.
Abrasive water jet machining of glass fibre reinforced polymer composite: experimental investigation, modelling and optimization
https://orcid.org/http://orcid.org/0000-0003-1979-3349
This paper describes an experimental investigation, modelling and optimization during abrasive water jet machining (AWJM) of glass fibre reinforced polymer composite. Four process parameters namely water pressure, stand-off distance, traverse rate and abrasive mass flow rate are considered to study their influence on maximum delamination length (Max. DLL), surface roughness (Ra) and kerf taper (Kt). The second-order regression models are developed for the maximum delamination length, surface roughness and kerf taper in AWJM of glass fibre reinforced polymer composite using response surface methodology based central composite design approach. From the regression models, it is revealed that delamination decreases with an increase in abrasive mass flow rate, with a decrease in traverse rate. Surface roughness decreases with increase in water pressure and decrease in traverse rate. Kerf taper decreases with increase in water pressure; and decrease in traverse rate and stand-off distance. Further, response surface methodology based desirability function is performed to minimize the Max. DLL, Ra and Kt and the desirability values were found for Ra = 0.936, Kt = 0.942 and Max. DLL = 1 with a combined desirability rating of 0.959 which was reasonably good and acceptable. From the confirmation test of multi-response optimization, it was obvious that the percentage error at optimum level of process parameters for Ra, Kt, and Max. DLL were less than 6.312%, 7.229%, and 4.318%, respectively.
Abrasive water jet machining of glass fibre reinforced polymer composite: experimental investigation, modelling and optimization
Int J Interact Des Manuf
Dahiya, Anil Kumar (author) / Bhuyan, Basanta Kumar (author) / Kumar, Shailendra (author)
2023-08-01
15 pages
Article (Journal)
Electronic Resource
English
Glass fibre reinforced polymer composite , AWJM , Delamination , Kerf taper , Surface roughness , Regression model , Multi-response optimization Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
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