Cu-Sn-Pb BIMETALS: PREDICTION OF BRINELL HARDNESS

This paper presents the results of defining the mathematical model which describes the dependence of Brinell hardness (HB) from the most influential input parameters in industrial conditions of conducting the production process of the bi-metal elements which work in oil systems of axial-piston pumps of high-pressure. Mathematical model is defined using the methods of Multiple Linear Regression Analysis (MLRA), with R2=0.726 and significant statistical reliability –VIF<2 and p<0.05, on the one-year statistical sample. Validation of the acquired model was performed using the data from the following year, collected from the process conducted under industrial conditions, rendering the same statistical reliability, with R2=0.759.

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Publication Details

Journal
Metallurgical & Materials Engineering Congress of South-East Europe
Published
2025-05-26
DOI
https://doi.org/10.30544/mmesee52
Primary Topic
Electronic Packaging and Soldering Technologies
Type
article
Field-Weighted Citation Impact
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article

Cu-Sn-Pb BIMETALS: PREDICTION OF BRINELL HARDNESS

Stevan Dimitrijević, Aleksandra Ivanović, Silvana Dimitrijević
Metallurgical & Materials Engineering Congress of South-East Europe
Electronic Packaging and Soldering Technologies
article

Cu-Sn-Pb BIMETALS: PREDICTION OF BRINELL HARDNESS

Stevan Dimitrijević, Aleksandra Ivanović, Silvana Dimitrijević
article en

Abstract

This paper presents the results of defining the mathematical model which describes the dependence of Brinell hardness (HB) from the most influential input parameters in industrial conditions of conducting the production process of the bi-metal elements which work in oil systems of axial-piston pumps of high-pressure. Mathematical model is defined using the methods of Multiple Linear Regression Analysis (MLRA), with R2=0.726 and significant statistical reliability –VIF<2 and p<0.05, on the one-year statistical sample. Validation of the acquired model was performed using the data from the following year, collected from the process conducted under industrial conditions, rendering the same statistical reliability, with R2=0.759.

Metallurgical & Materials Engineering Congress of South-East EuropeVol. 6(1)
University of Belgrade (RS), Mining and Metallurgy Institute Bor (RS)
Openalex Percentile: Top 90%
Electronic Packaging and Soldering Technologies
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