Dynamic Parameter Identification of Tool-Spindle Interface Based on RCSA and Particle Swarm Optimization
In order to ensure the stability of machining processes, the tool point frequency response functions (FRFs) should be obtained initially. By the receptance coupling substructure analysis (RCSA), the tool point FRFs can be generated quickly for any combination of holder and tool without the need of r...
Saved in:
Main Authors: | Erhua Wang, Bo Wu, Youmin Hu, Shuzi Yang, Yao Cheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.3233/SAV-2012-0728 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research of the Dynamic Characteristic of the Front End Accessory Drive System of Automobile Engine Considering OAP
by: Wang Erhua, et al.
Published: (2018-01-01) -
Analysis of thermal characteristics of machine tool spindle based on lion swarm optimization algorithm
by: ZHANG ZhuangZhuang, et al.
Published: (2024-06-01) -
Parallel Swarms Oriented Particle Swarm Optimization
by: Tad Gonsalves, et al.
Published: (2013-01-01) -
Parameter Estimation in Ordinary Differential Equations Modeling via Particle Swarm Optimization
by: Devin Akman, et al.
Published: (2018-01-01) -
OPTIMIZATION OF MACHINING PARAMETERS BASED ON ADAPTIVE QUANTUM PARTICLE SWARM NETWORKS (MT)
by: HAN HuiHui, et al.
Published: (2023-01-01)