Multi-objective optimization of sawblade multi-spot pressure tensioning process based on backpropagation neural network and genetic algorithm-Reference-Cited by-同舟云学术

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Multi-objective optimization of sawblade multi-spot pressure tensioning process based on backpropagation neural network and genetic algorithm

Published:2023-07-11 Issue: Volume: Page:1-17
ISSN:1748-0272
Container-title:Wood Material Science & Engineering
language:en
Short-container-title:Wood Material Science & Engineering

Author:

Yu Mingyang¹,Wang Bin¹,Ji Pengliang¹,Li Bo²,Zhang Luo³,Zhang Qingdong¹

Affiliation:

1. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, People’s Republic of China

2. Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing, People’s Republic of China

3. AVIC Changhe Aircraft Industry (Group) Corporation Ltd, Jiangxi, People’s Republic of China

Funder

Fundamental Research Funds for the Central Nonprofit Research Institution of CAF

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/17480272.2023.2233163

Reference38 articles.

1. Research on residual stress field control mechanism of circular saw blade considering its body structure

2. Pulse Shape Estimation in a DSR Fiber Laser Using the Genetic Algorithm

3. Natural frequencies of beams under compressive axial loads

4. Effects of Tensioning on Buckling and Vibration of Circular Saw Blades

5. NATURAL FREQUENCIES OF ROLL-TENSIONED CIRCULAR SAWBLADES: EFFECTS OF ROLLER LOADS, NUMBER OF GROOVES, AND GROOVE POSITIONS

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