Parameter Estimation of the Thermal Network Model of a Machine Tool Spindle by Self-made Bluetooth Temperature Sensor Module
Thermal characteristic analysis is essential for machine tool spindles because sudden failures may occur due to unexpected thermal issue. This article presents a lumped-parameter Thermal Network Model (TNM) and its parameter estimation scheme, including hardware and software, in order to characteriz...
Main Authors: | Yuan-Chieh Lo, Yuh-Chung Hu, Pei-Zen Chang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-02-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/2/656 |
Similar Items
-
Thermal-Feature System Identification for a Machine Tool Spindle
by: Yuh-Chung Hu, et al.
Published: (2019-03-01) -
A study of thermal behavior of the machine tool spindle
by: Živković Aleksandar M., et al.
Published: (2019-01-01) -
The Thermal Error Estimation of the Machine Tool Spindle Based on Machine Learning
by: Yu-Cheng Chiu, et al.
Published: (2021-08-01) -
A Linear Regression Thermal Displacement Lathe Spindle Model
by: Chih-Jer Lin, et al.
Published: (2020-02-01) -
Obtaining More Accurate Thermal Boundary Conditions of Machine Tool Spindle Using Response Surface Model Hybrid Artificial Bee Colony Algorithm
by: Leilei Zhang, et al.
Published: (2020-03-01)