Development of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device

The development process of the knowledge-based engineering (KBE) system for the structural size optimization of external fixation device is presented in this paper. The system is based on algorithms for generative modeling, finite element model (FEM) analysis, and size optimization. All these algori...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Elmedin Mešić, Nedim Pervan, Adis J. Muminović, Adil Muminović, Mirsad Čolić
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	KBE system structural size optimization generative CAD model FE model external fixator principal stresses Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/12e9f355def6406a84a71e066d47dd11
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:12e9f355def6406a84a71e066d47dd11
record_format	dspace
spelling	oai:doaj.org-article:12e9f355def6406a84a71e066d47dd112021-11-25T16:37:47ZDevelopment of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device10.3390/app1122107752076-3417https://doaj.org/article/12e9f355def6406a84a71e066d47dd112021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10775https://doaj.org/toc/2076-3417The development process of the knowledge-based engineering (KBE) system for the structural size optimization of external fixation device is presented in this paper. The system is based on algorithms for generative modeling, finite element model (FEM) analysis, and size optimization. All these algorithms are integrated into the CAD/CAM/CAE system CATIA. The initial CAD/FEM model of external fixation device is verified using experimental verification on the real design. Experimental testing is done for axial pressure. Axial stress and displacements are measured using tensometric analysis equipment. The proximal bone segment displacements were monitored by a displacement transducer, while the loading was controlled by a force transducer. Iterative hybrid optimization algorithm is developed by integration of global algorithm, based on the simulated annealing (SA) method and a local algorithm based on the conjugate gradient (CG) method. The cost function of size optimization is the minimization of the design volume. Constrains are given in a form of clinical interfragmentary displacement constrains, at the point of fracture and maximum allowed stresses for the material of the external fixation device. Optimization variables are chosen as design parameters of the external fixation device. The optimized model of external fixation device has smaller mass, better stress distribution, and smaller interfragmentary displacement, in correlation with the initial model.Elmedin MešićNedim PervanAdis J. MuminovićAdil MuminovićMirsad ČolićMDPI AGarticleKBE systemstructural size optimizationgenerative CAD modelFE modelexternal fixatorprincipal stressesTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10775, p 10775 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	KBE system structural size optimization generative CAD model FE model external fixator principal stresses Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	KBE system structural size optimization generative CAD model FE model external fixator principal stresses Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Elmedin Mešić Nedim Pervan Adis J. Muminović Adil Muminović Mirsad Čolić Development of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device
description	The development process of the knowledge-based engineering (KBE) system for the structural size optimization of external fixation device is presented in this paper. The system is based on algorithms for generative modeling, finite element model (FEM) analysis, and size optimization. All these algorithms are integrated into the CAD/CAM/CAE system CATIA. The initial CAD/FEM model of external fixation device is verified using experimental verification on the real design. Experimental testing is done for axial pressure. Axial stress and displacements are measured using tensometric analysis equipment. The proximal bone segment displacements were monitored by a displacement transducer, while the loading was controlled by a force transducer. Iterative hybrid optimization algorithm is developed by integration of global algorithm, based on the simulated annealing (SA) method and a local algorithm based on the conjugate gradient (CG) method. The cost function of size optimization is the minimization of the design volume. Constrains are given in a form of clinical interfragmentary displacement constrains, at the point of fracture and maximum allowed stresses for the material of the external fixation device. Optimization variables are chosen as design parameters of the external fixation device. The optimized model of external fixation device has smaller mass, better stress distribution, and smaller interfragmentary displacement, in correlation with the initial model.
format	article
author	Elmedin Mešić Nedim Pervan Adis J. Muminović Adil Muminović Mirsad Čolić
author_facet	Elmedin Mešić Nedim Pervan Adis J. Muminović Adil Muminović Mirsad Čolić
author_sort	Elmedin Mešić
title	Development of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device
title_short	Development of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device
title_full	Development of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device
title_fullStr	Development of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device
title_full_unstemmed	Development of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device
title_sort	development of knowledge-based engineering system for structural size optimization of external fixation device
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/12e9f355def6406a84a71e066d47dd11
work_keys_str_mv	AT elmedinmesic developmentofknowledgebasedengineeringsystemforstructuralsizeoptimizationofexternalfixationdevice AT nedimpervan developmentofknowledgebasedengineeringsystemforstructuralsizeoptimizationofexternalfixationdevice AT adisjmuminovic developmentofknowledgebasedengineeringsystemforstructuralsizeoptimizationofexternalfixationdevice AT adilmuminovic developmentofknowledgebasedengineeringsystemforstructuralsizeoptimizationofexternalfixationdevice AT mirsadcolic developmentofknowledgebasedengineeringsystemforstructuralsizeoptimizationofexternalfixationdevice
_version_	1718413061712248832

Development of Knowledge-Based Engineering System for Structural Size Optimization of External Fixation Device

Ejemplares similares