Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 Steel

Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 Steel

In order to improve the resistance to thermal fatigue and wear resistance of H13 hot-working tool steel, a nickel-based composite coating was prepared on its surface by laser cladding technology. The relationship was studied between the main processing parameters and the size of the cladding layer s...

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Main Authors: Fangping Yao, Lijin Fang, Xiang Chen
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Processes
Subjects:
laser cladding
nickel-based power
H13
microhardness
orthogonal polynomial regression method
Online Access:https://www.mdpi.com/2227-9717/9/3/408
id doaj-8849df1f226244fa918cdbe2c42f77e1
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spelling doaj-8849df1f226244fa918cdbe2c42f77e12021-02-26T00:01:00ZengMDPI AGProcesses2227-97172021-02-01940840810.3390/pr9030408Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 SteelFangping Yao0Lijin Fang1Xiang Chen2School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, ChinaFaculty of Robot Science and Engineering, Northeastern University, Shenyang 110819, ChinaEngineering Training Center, Liaoning University of Technology, Jinzhou 121001, ChinaIn order to improve the resistance to thermal fatigue and wear resistance of H13 hot-working tool steel, a nickel-based composite coating was prepared on its surface by laser cladding technology. The relationship was studied between the main processing parameters and the size of the cladding layer such as height and width. Based on the orthogonal polynomial regression method, the relationships were modeled mathematically between laser power, scanning speed, powder feeding voltage and microhardness. This model was proved to be able to predict the laser power and powder feeding voltage under 1100 Hv microhardness.https://www.mdpi.com/2227-9717/9/3/408laser claddingnickel-based powerH13microhardnessorthogonal polynomial regression method
collection DOAJ
language English
format Article
sources DOAJ
author Fangping Yao
Lijin Fang
Xiang Chen
spellingShingle Fangping Yao
Lijin Fang
Xiang Chen
Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 Steel
Processes
laser cladding
nickel-based power
H13
microhardness
orthogonal polynomial regression method
author_facet Fangping Yao
Lijin Fang
Xiang Chen
author_sort Fangping Yao
title Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 Steel
title_short Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 Steel
title_full Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 Steel
title_fullStr Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 Steel
title_full_unstemmed Geometry Analysis and Microhardness Prediction of Nickel-Based Laser Cladding Layer on the Surface of H13 Steel
title_sort geometry analysis and microhardness prediction of nickel-based laser cladding layer on the surface of h13 steel
publisher MDPI AG
series Processes
issn 2227-9717
publishDate 2021-02-01
description In order to improve the resistance to thermal fatigue and wear resistance of H13 hot-working tool steel, a nickel-based composite coating was prepared on its surface by laser cladding technology. The relationship was studied between the main processing parameters and the size of the cladding layer such as height and width. Based on the orthogonal polynomial regression method, the relationships were modeled mathematically between laser power, scanning speed, powder feeding voltage and microhardness. This model was proved to be able to predict the laser power and powder feeding voltage under 1100 Hv microhardness.
topic laser cladding
nickel-based power
H13
microhardness
orthogonal polynomial regression method
url https://www.mdpi.com/2227-9717/9/3/408
work_keys_str_mv AT fangpingyao geometryanalysisandmicrohardnesspredictionofnickelbasedlasercladdinglayeronthesurfaceofh13steel
AT lijinfang geometryanalysisandmicrohardnesspredictionofnickelbasedlasercladdinglayeronthesurfaceofh13steel
AT xiangchen geometryanalysisandmicrohardnesspredictionofnickelbasedlasercladdinglayeronthesurfaceofh13steel
_version_ 1724250501408620544

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