NUMERICAL PREDICTION OF THE COMPONENT-RATIO-DEPENDENT COMPRESSIVE STRENGTH OF BONE CEMENT

Anna  MACHROWSKA; Robert KARPIŃSKI; Józef JONAK; Jakub  SZABELSKI

doi:10.23743/acs-2020-24

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Published: Sep 30, 2020

DOI: https://doi.org/10.23743/acs-2020-24

DOI

https://doi.org/10.23743/acs-2020-24

Authors

Anna MACHROWSKA

a.machrowska@pollub.pl

Lublin University of Technology Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin

Robert KARPIŃSKI

r.karpinski@pollub.pl

Lublin University of Technology Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin

Józef JONAK

j.jonak@pollub.pl

Lublin University of Technology Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin

Jakub SZABELSKI

j.szabelski@pollub.pl

Lublin University of Technology, Faculty of Mechanical Engineering Department of Computerization and Production Robotization, Section of Biomedical Engineering, Nadbystrzycka 36, 20-618 Lublin

Abstract

Changes in the compression strength of the PMMA bone cement with a variable powder/liquid component mix ratio were investigated. The strength test data served to develop basic mathematical models and an artificial neural network was employed for strength predictions. The empirical and numerical results were compared to determine modelling errors and assess the effectiveness of the proposed methods and models. The advantages and disadvantages of mathematical modelling are discussed.

Keywords:

artificial neural networks, mathematical modelling, biomaterials, bone cement

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MACHROWSKA, A. ., KARPIŃSKI, R., JONAK, J., & SZABELSKI, J. . (2020). NUMERICAL PREDICTION OF THE COMPONENT-RATIO-DEPENDENT COMPRESSIVE STRENGTH OF BONE CEMENT. Applied Computer Science, 16(3), 88–101. https://doi.org/10.23743/acs-2020-24

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