TY - GEN
T1 - Parametric analysis for slot milling of carbon fiber reinforced polymers based on ultrasonic machining
AU - Amin, Muhammad
AU - Yuan, Songmei
AU - Khan, Muhammad Zubair
AU - Zhang, Chong
AU - Israr, Asif
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - Carbon fiber reinforced polymers (CFRP), have got rapidly enhanced applications in aerospace and other fields due to their attractive properties of high specific strength, high specific stiffness, and low thermal expansion. However, their properties like inhomogeneous, anisotropy and low heat dissipation are the main hindrance for machining of such materials with desired quality. In this research, the feasibility analysis was carried out and found that ultrasonic machining is only feasible for CFRP-T700 with low an elastic modulus of 233MPa as compared to rotary ultrasonic machining. Analysis of variance was performed and found that spindle speed is the significant parameter for feed and axial direction cutting forces. The cutting depth has found as a significant parameter for axial and feed cutting forces whereas the feed rate found a significant parameter for the axial force only. The optimal combination of these three forces has investigated with spindle speed 5000 rpm, feed rate 175mm/min and cutting depth 1.0 mm. Further analysis showed that spindle speed and cutting depth are significant for surface roughness and the optimal values for surface roughness (less than 1.5 μm) can be found with spindle speed 3800 rpm, feed rate 220 mm/min and cutting depth 2.2 mm cutting depth. The analytical model for surface roughness has then developed and validated. The results will be much helpful for machining of slots based on ultrasonic technology also for the industry level for better quality and to save expensive CFRP materials.
AB - Carbon fiber reinforced polymers (CFRP), have got rapidly enhanced applications in aerospace and other fields due to their attractive properties of high specific strength, high specific stiffness, and low thermal expansion. However, their properties like inhomogeneous, anisotropy and low heat dissipation are the main hindrance for machining of such materials with desired quality. In this research, the feasibility analysis was carried out and found that ultrasonic machining is only feasible for CFRP-T700 with low an elastic modulus of 233MPa as compared to rotary ultrasonic machining. Analysis of variance was performed and found that spindle speed is the significant parameter for feed and axial direction cutting forces. The cutting depth has found as a significant parameter for axial and feed cutting forces whereas the feed rate found a significant parameter for the axial force only. The optimal combination of these three forces has investigated with spindle speed 5000 rpm, feed rate 175mm/min and cutting depth 1.0 mm. Further analysis showed that spindle speed and cutting depth are significant for surface roughness and the optimal values for surface roughness (less than 1.5 μm) can be found with spindle speed 3800 rpm, feed rate 220 mm/min and cutting depth 2.2 mm cutting depth. The analytical model for surface roughness has then developed and validated. The results will be much helpful for machining of slots based on ultrasonic technology also for the industry level for better quality and to save expensive CFRP materials.
KW - Ultrasonic machining
KW - carbon fiber reinforced polymers
KW - cutting force
KW - machining parameters
KW - slot milling
UR - https://www.scopus.com/pages/publications/85029794789
U2 - 10.1109/IBCAST.2017.7868040
DO - 10.1109/IBCAST.2017.7868040
M3 - 会议稿件
AN - SCOPUS:85029794789
T3 - Proceedings of 2017 14th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2017
SP - 91
EP - 99
BT - Proceedings of 2017 14th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2017
A2 - Zafar-uz-Zaman, Muhammad
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2017
Y2 - 10 January 2017 through 14 January 2017
ER -