| Title: | An optimized machine-learning tool to predict heat treatment response of hot-work tool steels |
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| Authors: | ID Yarasu, Venu (Author)
ID Podgornik, Bojan (Author) |
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| Files: |  PDF - Presentation file, download (10,54 MB)
MD5: AD2EDBD6DBA26D5F3E86B65B17764EC3
 URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S2590123025013301?ref=pdf_download&fr=RR-2&rr=93f06399ecfa68bf
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  IMT - Institute of Metals and Technology
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| Keywords: | hot-work tool steel, machine learning, hardness, fracture toughness, graphical user interface |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 01.06.2025 |
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| Publisher: | Elsevier |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-19 |
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| Numbering: | Vol. 26, [article no.] 105260 |
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| Source: | Results in Engineering |
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| PID: | 20.500.12556/DiRROS-22499  |
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| UDC: | 620.17:669.14: 004.85 |
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| ISSN on article: | 2590-1230 |
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| DOI: | 10.1016/j.rineng.2025.105260 |
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| COBISS.SI-ID: | 235640579 |
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| Copyright: | © 2025 The Authors. Published by Elsevier B.V. |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 22. 5. 2025;
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| Publication date in DiRROS: | 22.05.2025 |
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| Views: | 620 |
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| Downloads: | 302 |
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| Metadata: |    |
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