A system of analysis and prediction of the loss of forging tool material applying artificial neural networks
The article presents the use of artificial neural networks (ANN) to build a system of analysis and forecasting of the durability of forging tools and the process of acquiring the source knowledge necessary for the network learning process. In particular, the study focuses on the prediction of the ge...
Main Authors: | Hawryluk M., Mrzyglod B. |
---|---|
Format: | Article |
Language: | English |
Published: |
Technical Faculty, Bor
2018-01-01
|
Series: | Journal of Mining and Metallurgy. Section B: Metallurgy |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/1450-5339/2018/1450-53391800023H.pdf |
Similar Items
-
Improving durability of hot forging tools by applying hybrid layers
by: Z. Gronostajski, et al.
Published: (2015-10-01) -
Studies on a Robotised Process for Forging Steel Synchronizer Rings in the Context of Forging Tool Life
by: Cernohlavek, V., et al.
Published: (2023) -
Development of a Method for Tool Wear Analysis Using 3D Scanning
by: Hawryluk Marek, et al.
Published: (2017-12-01) -
The Use of 3D Scanning Methods to Evaluate the Hybrid Layer Used in Forging Tools in Order to Improve their Durability
by: Gronostajski Z., et al.
Published: (2017-09-01) -
Wear Analysis of Die Inserts in the Hot Forging Process of a Forked Type Forging Using Reverse Scanning Techniques
by: Łukasz Dworzak, et al.
Published: (2017-12-01)