TY - JOUR
T1 - A Study on the Drilling Process Optimization of Carbon Fiber Reinforced Plastics based on Nano-solid Dry Lubrication
AU - Kim, Jin Woo
AU - Lee, Sang Won
AU - Nam, Jungsoo
N1 - Publisher Copyright:
© 2022 Korean Society of Mechanical Engineers. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Carbon fiber reinforced plastics (CFRP) composites have been used in high-tech industries owing to their superior strength-to-weight ratios. However, a CFRP composite has a complex structure represented by anisotropy and non-homogeneity. Owing to its moisture-sensitive property, nano-solid dry lubrication technology is applied in the CFRP drilling process. In this study, the optimization of the CFRP drilling process using nano-solid dry lubrication is studied. Thus, the spindle speed and feed rate are selected as process variables, and the delamination factor, uncut fiber area, and inner surface roughness are selected as responses for the optimization process based on response surface methodology (RSM). The regression models for each response are obtained, and the multi-objective optimization is performed to obtain the optimal values of the process variables by designing desirability functions.
AB - Carbon fiber reinforced plastics (CFRP) composites have been used in high-tech industries owing to their superior strength-to-weight ratios. However, a CFRP composite has a complex structure represented by anisotropy and non-homogeneity. Owing to its moisture-sensitive property, nano-solid dry lubrication technology is applied in the CFRP drilling process. In this study, the optimization of the CFRP drilling process using nano-solid dry lubrication is studied. Thus, the spindle speed and feed rate are selected as process variables, and the delamination factor, uncut fiber area, and inner surface roughness are selected as responses for the optimization process based on response surface methodology (RSM). The regression models for each response are obtained, and the multi-objective optimization is performed to obtain the optimal values of the process variables by designing desirability functions.
KW - Carbon Fiber Reinforced Plastics
KW - Drilling Process
KW - Multiobjective Optimization
KW - Nano-solid Dry Lubrication
KW - Response Surface Methodology
UR - https://www.scopus.com/pages/publications/85127185504
U2 - 10.3795/KSME-A.2022.46.3.233
DO - 10.3795/KSME-A.2022.46.3.233
M3 - Article
AN - SCOPUS:85127185504
SN - 1226-4873
VL - 66
SP - 233
EP - 239
JO - Transactions of the Korean Society of Mechanical Engineers, A
JF - Transactions of the Korean Society of Mechanical Engineers, A
IS - 3
ER -