Online monitoring and measurements of tool wear for precision turning of stainless steel parts
Online monitoring and measurements of tool wear were carried out using cutting forces for precision turning of stainless steel parts. The best combination of features was selected from 14 features extracted from force signals by using a Sequential Forward Search algorithm. Back-propagation neural ne...
Main Authors: | Liu, Tien-I., Song, Shin-Da, Liu, George, Wu, Zhang |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/100122 http://hdl.handle.net/10220/13564 |
Similar Items
-
Practical forming die design and manufacture for sheet metal stainless steel precision parts
by: Cheung, Thomas Wing Lau.
Published: (2009) -
Tool wear prediction in turning using workpiece surface profile images and deep learning neural networks
by: Lim, Meng Lip, et al.
Published: (2022) -
Effects of injection molding parameter (temperature) on 316l stainless steel parts
by: Chua, Shi Wei.
Published: (2012) -
Machinability assessment when turning AISI 316L austenitic stainless steel using uncoated and coated carbide inserts /
by: Rusdi Nur, 1974-, author 599550, et al.
Published: (2016) -
Effects of tool wear on roughness of machined surfaces
by: Soh, Kok Hua.
Published: (2008)