Quality Control Loop for Tool Wear Compensation in Milling Process using different Optimization Methods
Research output: Journal contributions › Conference article in journal › Research › peer-review
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In: Procedia CIRP, Vol. 126, 2024, p. 396–401.
Research output: Journal contributions › Conference article in journal › Research › peer-review
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TY - JOUR
T1 - Quality Control Loop for Tool Wear Compensation in Milling Process using different Optimization Methods
AU - Bilen, Ali
AU - Kaiser, Jan-Philipp
AU - Gauder, Daniel
AU - Stamer, Florian
AU - Lanza, Gisela
N1 - Publisher Copyright: © 2024 Elsevier B.V.. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Milling is one of the most important cutting processes in the manufacturing industry. Accordingly, optimization measures in this area have a great influence on the efficiency in modern production systems, which in many cases is composed of entire machine parks consisting of milling machines. Tool wear on milling machines reduces tool life and causes quality features of manufactured products to drift out of the target range. Currently, this is associated with a high effort to detect and control occurring deviations. In the following, an approach will be presented in which the design of an automated quality control loop for milling processes based on the geometric detection of the manufactured components is developed. The subject is formulated as a mathematical optimization problem, which is solved using evolutionary algorithms.
AB - Milling is one of the most important cutting processes in the manufacturing industry. Accordingly, optimization measures in this area have a great influence on the efficiency in modern production systems, which in many cases is composed of entire machine parks consisting of milling machines. Tool wear on milling machines reduces tool life and causes quality features of manufactured products to drift out of the target range. Currently, this is associated with a high effort to detect and control occurring deviations. In the following, an approach will be presented in which the design of an automated quality control loop for milling processes based on the geometric detection of the manufactured components is developed. The subject is formulated as a mathematical optimization problem, which is solved using evolutionary algorithms.
KW - Closed Loop Quality Control
KW - Evolutionary Algorithm
KW - Milling
KW - Optimization Algorithm
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85208559702&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2024.08.385
DO - 10.1016/j.procir.2024.08.385
M3 - Conference article in journal
VL - 126
SP - 396
EP - 401
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
ER -