The Steelmaking Process Parameter Optimization with a Surrogate Model Based on Convolutional Neural Networks and the Firefly Algorithm

The Steelmaking Process Parameter Optimization with a Surrogate Model Based on Convolutional Neural Networks and the Firefly Algorithm

High-strength low-alloy steels (HSLAs) are widely used in the structural body components of many domestic motor vehicles owing to their better mechanical properties and greater resistance. The real production process of HSLA steelmaking can be regarded as a model that builds on the relationship betw...

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Bibliographic Details
Main Authors: Yung-Chun Liu, Ming-Huwi Horng, Yung-Yi Yang, Jian-Han Hsu, Yen-Ting Chen, Yu-Chen Hung, Yung-Nien Sun, Yu-Hsuan Tsai
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
high-strength low-alloy steel
manufacturing process optimization
surrogate model
firefly algorithm
VGG model
Online Access:https://www.mdpi.com/2076-3417/11/11/4857

Internet

https://www.mdpi.com/2076-3417/11/11/4857

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