Adaptive parametereinstellung für fertigungsprozesse

Sonja Straßer; Herbert Jodlbauer; Lukas Schimpelsberger

doi:10.3139/104.112055

Adaptive parametereinstellung für fertigungsprozesse

Translated title of the contribution: Adaptive parameter setting for manufacturing processes

Sonja Straßer, Herbert Jodlbauer, Lukas Schimpelsberger

Research Center Steyr

Research output: Contribution to journal › Article › peer-review

Abstract

In manufacturing processes, the selection of optimal process parameters can be a difficult task, which often relies on the experience of highly skilled workers. Individual parameter settings for each part can further increase the quality and reduce scrap. Machine learning methods offer the opportunity to generate models based on manufacturing data to predict optimal parameter settings.

Translated title of the contribution	Adaptive parameter setting for manufacturing processes
Original language	German
Pages (from-to)	150-153
Number of pages	4
Journal	ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
Volume	114
Issue number	3
DOIs	https://doi.org/10.3139/104.112055
Publication status	Published - Mar 2019

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title = "Adaptive parametereinstellung f{\"u}r fertigungsprozesse",

abstract = "In manufacturing processes, the selection of optimal process parameters can be a difficult task, which often relies on the experience of highly skilled workers. Individual parameter settings for each part can further increase the quality and reduce scrap. Machine learning methods offer the opportunity to generate models based on manufacturing data to predict optimal parameter settings.",

author = "Sonja Stra{\ss}er and Herbert Jodlbauer and Lukas Schimpelsberger",

year = "2019",

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Adaptive parametereinstellung für fertigungsprozesse

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