Parameters prediction for Low-Plasticity ultrasonic rolling strengthening process of blades based on Few-Shot Genetic Bayesian-Back Propagation intelligent learning-Reference-Cited by-同舟云学术

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Parameters prediction for Low-Plasticity ultrasonic rolling strengthening process of blades based on Few-Shot Genetic Bayesian-Back Propagation intelligent learning

Published:2024-09 Issue: Volume: Page:115732
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Huilin,Wu Dongbo,Wang Hui

Publisher

Elsevier BV

Reference63 articles.

1. Analysis and optimization of the machining fixture system stiffness for near-net-shaped aero-engine blade[J];Wang;The International Journal of Advanced Manufacturing Technology,2021

2. Investigative on the remanufacturing process of TC4 blade based on selective laser melting and CNC machining[J];Wu;Journal of Materials Research and Technology,2022

3. Aeroengine blade surface defect detection system based on improved faster RCNN[J];Yixuan;International Journal of Intelligent Systems,2023

4. Research on machining error transmission mechanism and compensation method for near-net-shaped jet engine blades CNC machining process[J];Wu;The International Journal of Advanced Manufacturing Technology,2021

5. Experimental and simulation study of material removal behavior in ultra-precision turning of magnesium aluminate spinel (MgAl2O4)[J];Geng;Journal of Manufacturing Processes,2022

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