TY - CHAP
T1 - Abrasive Water Jet Machining of Polymer Composites
AU - Jagadish,
AU - Gupta, Kapil
N1 - Publisher Copyright:
© 2020, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - This chapter presents the machining performance of green abrasive water jet machining process on polymer composites. Abrasive water jet machining (AWJM), a commonly known as green machining process and wood dust filler-based reinforced polymer (WDFRP) composites or green composites, is considered in this study. An experimental investigation is carried out based on Taguchi (L9-OA) to analyze the sensitivity of green machining attributes [such as MRR, surface roughness (SR), and machining time (MT)] to the variation in process parameters like standoff distance (SoD), working pressure (WP), nozzle speed (NS), and abrasive grain size (AGS). Additionally, regression analysis and ANOVA are done to show the statistical significance of the green machining process. At last, MOORA method is used for the optimization of AWJM process parameters. Investigation result indicates that green machining process, i.e., AWJM process is adequate in the machining of green composites and produce high-quality parts with excellent productivity and less machining time. Optimal setting obtained is SoD (2 mm, level 2), WP (125 MPa, level 1), NS (300 mm/min, level 3), and AGS (70 mesh, level 1). Parameter SoD found more significance on the AWJM response in all the cases during the machining process. Confirmatory results for MRR, SR, MT are found closer to the experimental results and well within the considerable ranges and satisfactory.
AB - This chapter presents the machining performance of green abrasive water jet machining process on polymer composites. Abrasive water jet machining (AWJM), a commonly known as green machining process and wood dust filler-based reinforced polymer (WDFRP) composites or green composites, is considered in this study. An experimental investigation is carried out based on Taguchi (L9-OA) to analyze the sensitivity of green machining attributes [such as MRR, surface roughness (SR), and machining time (MT)] to the variation in process parameters like standoff distance (SoD), working pressure (WP), nozzle speed (NS), and abrasive grain size (AGS). Additionally, regression analysis and ANOVA are done to show the statistical significance of the green machining process. At last, MOORA method is used for the optimization of AWJM process parameters. Investigation result indicates that green machining process, i.e., AWJM process is adequate in the machining of green composites and produce high-quality parts with excellent productivity and less machining time. Optimal setting obtained is SoD (2 mm, level 2), WP (125 MPa, level 1), NS (300 mm/min, level 3), and AGS (70 mesh, level 1). Parameter SoD found more significance on the AWJM response in all the cases during the machining process. Confirmatory results for MRR, SR, MT are found closer to the experimental results and well within the considerable ranges and satisfactory.
KW - Abrasive
KW - Green composite
KW - Laser
KW - Machining
KW - Optimization
KW - Surface quality
KW - Water jet
UR - http://www.scopus.com/inward/record.url?scp=85076756951&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-36001-6_3
DO - 10.1007/978-3-030-36001-6_3
M3 - Chapter
AN - SCOPUS:85076756951
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 33
EP - 49
BT - SpringerBriefs in Applied Sciences and Technology
PB - Springer
ER -