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

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 (Poland)

Robert KARPIŃSKI


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

Józef JONAK


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

Jakub SZABELSKI


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

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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Published
2020-09-30

Cited by

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

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 Poland

Authors

Robert KARPIŃSKI 

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

Authors

Józef JONAK 

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

Authors

Jakub SZABELSKI 

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

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