TY - GEN
T1 - Modeling, Simulation, and Analysis of Cutting Force in Micro End Milling Process of Mild Steel Using Mechanistic Model
AU - Kiswanto, Gandjar
AU - Putri, Shabrina Kartika
AU - Christiand,
AU - Fitriawan, Muhammad Ramadhani
AU - Hiltansyah, Fachryal
AU - Putra, Ramandika Garindra
N1 - Funding Information:
ACEOLNWK MENDG T isTh study aw s funded by Universitas Indonesia under TPU Prosiding research rg ant scheme oN . KBN-1200/UN2.RT/HKS P.05.00/2020.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/2/3
Y1 - 2021/2/3
N2 - Micro milling is one of the critical machining processes that is widely used and has the advantage of creating complex geometry in a wide range of materials. However, premature wear and breakage of the micro tools as well as the stability of the system become one of the challenges in micro milling. So, accurate prediction of cutting forces is needed for optimization and planning of the process. This study aims to develop a mechanistic model for the prediction of cutting forces in the micro end milling process from basic metal cutting parameters estimated from orthogonal cutting data. Instantaneous uncut chip thickness is calculated using an algorithm based on the exact trochoidal path of the tool tip considering tool run-out effect, minimum chip thickness, and elastic recovery of materials. The cutting force coefficients are estimated using a fundamental oblique cutting approach taking into account material strengthening effect and edge radius. To validate the model, cutting forces in the micro slot end milling process are simulated for mild steel using the developed mechanistic model and compared to the experimentally measured signals from literature. The results of cutting forces amplitudes comparison show an average absolute error of 15.36% for feed force and 12,87% for lateral force.
AB - Micro milling is one of the critical machining processes that is widely used and has the advantage of creating complex geometry in a wide range of materials. However, premature wear and breakage of the micro tools as well as the stability of the system become one of the challenges in micro milling. So, accurate prediction of cutting forces is needed for optimization and planning of the process. This study aims to develop a mechanistic model for the prediction of cutting forces in the micro end milling process from basic metal cutting parameters estimated from orthogonal cutting data. Instantaneous uncut chip thickness is calculated using an algorithm based on the exact trochoidal path of the tool tip considering tool run-out effect, minimum chip thickness, and elastic recovery of materials. The cutting force coefficients are estimated using a fundamental oblique cutting approach taking into account material strengthening effect and edge radius. To validate the model, cutting forces in the micro slot end milling process are simulated for mild steel using the developed mechanistic model and compared to the experimentally measured signals from literature. The results of cutting forces amplitudes comparison show an average absolute error of 15.36% for feed force and 12,87% for lateral force.
KW - cutting force
KW - force coefficient
KW - material strengthening
KW - micro end milling
KW - mild steel
UR - http://www.scopus.com/inward/record.url?scp=85104858829&partnerID=8YFLogxK
U2 - 10.1109/ICMRE51691.2021.9384814
DO - 10.1109/ICMRE51691.2021.9384814
M3 - Conference contribution
AN - SCOPUS:85104858829
T3 - 2021 7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021
SP - 142
EP - 149
BT - 2021 7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021
Y2 - 3 February 2021 through 5 February 2021
ER -