Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Resource efficiency optimization of manufacturing processes using evolutionary computation : a turning case

Title data

Kübler, Frank ; Böhner, Johannes ; Steinhilper, Rolf:
Resource efficiency optimization of manufacturing processes using evolutionary computation : a turning case.
In: Procedia CIRP. Vol. 29 (2015) . - pp. 822-827.
ISSN 2212-8271
DOI: https://doi.org/10.1016/j.procir.2015.02.208

Abstract in another language

Most resource efficiency optimization measures being discussed in resent publications focus on component downsizing and adaptive control of components regarding the standard ISO 14955. Optimization of discrete manufacturing process parameter is a further approach to reduce resource consumption during operation. This paper presents a meta heuristic genetic algorithm approach which has been used to determine a pareto front of feasible machining parameter. The pareto front is used to select optimal solutions for the resource consumption integrated multi-dimensional optimization task. The results are presented for a turning process with respect to resource consumption, machining time and machining cost under product quality constrains and machine performance limits.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology
Faculties > Faculty of Engineering Science > Ehemalige Professoren > Chair Manufacturing and Remanufacturing Technology - Univ.-Prof. Dr.-Ing. Rolf Steinhilper
Research Institutions > Affiliated Institutes > Fraunhofer-Projectgroup Processinnovation
Faculties
Faculties > Faculty of Engineering Science
Research Institutions
Research Institutions > Affiliated Institutes
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 30 Sep 2016 06:53
Last Modified: 30 Sep 2016 06:53
URI: https://eref.uni-bayreuth.de/id/eprint/31233