Optimization algorithm for deep hole milling parameters of nickel-based alloys based on deep learning-Reference-Cited by-同舟云学术

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Optimization algorithm for deep hole milling parameters of nickel-based alloys based on deep learning

Published:2024-06-05 Issue: Volume:39 Page:37
ISSN:
Container-title:Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024)
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Author:

Xu Chuntang,Wang Yaping

Publisher

SPIE

Reference6 articles.

1. Process Parameters Optimization in Micromilling of Watch Mechanism Features

2. Multiple performance characteristics optimization in end milling of thin-walled parts using desirability function

3. Multiobjective Optimization of Milling Parameters for Ultrahigh-Strength Steel AF1410 Based on the NSGA-II Method

4. Modeling and optimization of process parameters in face milling of Ti6Al4V alloy using Taguchi and grey relational analysis

5. Simulation of a combined method of complex hyperparameter optimization based on big data [J];Li;Computer Simulation,2022

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