Material Identification During Turning by Neural Network
A design concept for high-performance components involves the combination of different materials in hybrid workpieces. Different material properties and chemical compositions influence the machining quality of hybrid workpieces. To achieve a constant workpiece and process quality, it is necessary to...
Saved in:
| Main Authors: | Berend DENKENA, Benjamin BERGMANN, Miriam HANDRUP, Matthias WITT |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Publishing House of Wrocław Board of Scientific Technical Societies Federation NOT
2020-06-01
|
| Series: | Journal of Machine Engineering |
| Subjects: | |
| Online Access: | http://jmacheng.not.pl/Material-Identification-During-Turning-by-Neural-Network,119677,0,2.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Controlled Turning Process for the Production of Friction-Reduced Cylinder Liners with a Defined Free-Form Geometry
by: Berend Denkena, et al.
Published: (2021-07-01) -
Artificial Neural Network Framework for Hybrid Control and Monitoring in Turning Operations
by: Bogdan Felician Abaza, et al.
Published: (2025-03-01) -
Improved Machining Performance Through Turn-Milling
by: Kaveh Rahimzadeh Berenji, et al.
Published: (2022-05-01) -
Development of mathematical model of oscillatory processes at turning of materials with reverse hardness distribution
by: V. E. Ovsyannikov, et al.
Published: (2024-06-01) -
MODELING OF TOOL DEFORMATION OFFSETTING TO WORKPIECE IN TURNING
by: Vilor L. ZAKOVOROTNIY, et al.
Published: (2010-11-01)