Development of surrogate models of clamp configuration for optical glass lens centering through finite element analysis and machine learning

Autor:	Kai Hung Yu, Shiau-Cheng Shiu, Chun-Wei Liu
Rok vydání:	2022
Předmět:	Control and Systems Engineering Mechanical Engineering Industrial and Manufacturing Engineering Software Computer Science Applications
Zdroj:	The International Journal of Advanced Manufacturing Technology. 121:8209-8220
ISSN:	1433-3015 0268-3768
DOI:	10.1007/s00170-022-09915-5
Popis:	In this study, the clamping stress and force involved in the centering of optical glass lens were evaluated and quantified. On the basis of the key design parameters of the examined clamps, the finite element method was applied to measure clamping stress under various parameter combinations. Support vector regression, Gaussian process regression, and adaptive neuro fuzzy inference system algorithm of surrogate models were established using the results obtained through finite element simulation. These surrogate models, which can predict clamping stress on the basis of key parameters, can reduce the time required to perform finite element analysis while providing references for optimizing clamp configuration.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b5de1c983a3806bdc0c341fca1a6add https://doi.org/10.1007/s00170-022-09915-5 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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