Surface roughness and cutting force estimation in the CNC turning using artificial neural networks
Surface roughness and cutting forces are considered as important factors to determine machinability rate and the quality of product. A number of factors like cutting speed, feed rate, depth of cutting and tool noise radius influence the surface roughness and cutting forces in turning process. In thi...
Saved in:
| Main Authors: | Mohammad Ramezani, Ahmad Afsari |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2015-04-01
|
| Series: | Management Science Letters |
| Subjects: | |
| Online Access: | http://www.growingscience.com/msl/Vol5/msl_2015_27.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ANALYSIS OF THE EVOLUTION OF THE ROUGHNESS OF SURFACES PROCESSED BY TURNING DEPENDING ON THE FUNCTIONAL GEOMETRY OF THE CUTTING TOOL
by: Dan DOBROTĂ, et al.
Published: (2018-05-01) -
Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal Cutting Fluid Application
by: Sandip Mane, et al.
Published: (2025-03-01) -
ANALYSIS OF THE INFLUENCE OF THE VARIATION OF THE FUNCTIONAL GEOMETRY OF THE CUTTING TOOL ON THE CUTTING FORCE DURING TURNING WITH TRANSVERSE FEED
by: Mădălin TOMESCU, et al.
Published: (2024-05-01) -
Experimental Study on Surface Roughness and Cutting Force in Turning of Al7032 Reinforced with SiC Using Taguchi Design
by: Reza Rezvan Rostami, et al.
Published: (2021-04-01) -
Machinability Assessment and Multi-Objective Optimization of Graphene Nanoplatelets-Reinforced Aluminum Matrix Composite in Dry CNC Turning
by: Nikolaos A. Fountas, et al.
Published: (2025-05-01)