Abstract
This paper presents the investigation results of the computer modelling of the surface layer hardness of hot work tool alloy steel alloyed with the ceramic powders using the High Power Diode Laser (HPDL). Laser treatment by remelting or alloying with the carbides was employed for improvement of the surface layer properties of tools made from the hot work tool steels. The developed model of the neural network make predicting possible for the surface layer hardness values. Further investigations should be concentrated on computer modelling of microhardness and resistance wear abrasion using the artificial neural networks. The surface layer of the hot work steel alloyed with ceramic powder using the HPDL have good properties and makes it possible for using in various technical and industrial applications. The artificial neural networks were used to determine the technological effect of laser alloying on hardness of the hot work tool steels.
| Original language | English |
|---|---|
| Pages (from-to) | 526-539 |
| Number of pages | 14 |
| Journal | International Journal of Computational Materials Science and Surface Engineering |
| Volume | 1 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2007 |
Keywords
- HPDL
- High Power Diode Laser
- hot work alloy tool steel
- laser alloying
- neural networks
- surface layer
ASJC Scopus subject areas
- Modeling and Simulation
- General Materials Science
- General Engineering
- Computer Science Applications
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