Neural network as an assisting tool in designing talus implant

The design of current talus implant are focusing too much on mechanical simplicity and usually based on certain population which tends to ignore the anatomically difference between populations. An anatomically talus implant design is known can reduce the contact pressure but one of the constraints f...

Full description

Bibliographic Details
Main Authors:	Rosdi, Daud, Mas Ayu, Hassan, Siti Haryani, Tomadi, Salwani, Mohd Salleh, S., Suaidah, Arman Shah, Abdullah, Mohammed Rafiq, Abdul Kadir
Format:	Conference or Workshop Item
Published:	Trans Tech Publications 2018
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/24058/ http://umpir.ump.edu.my/id/eprint/24058/ http://umpir.ump.edu.my/id/eprint/24058/

id	ump-24058
recordtype	eprints
spelling	ump-240582019-03-12T04:14:20Z http://umpir.ump.edu.my/id/eprint/24058/ Neural network as an assisting tool in designing talus implant Rosdi, Daud Mas Ayu, Hassan Siti Haryani, Tomadi Salwani, Mohd Salleh S., Suaidah Arman Shah, Abdullah Mohammed Rafiq, Abdul Kadir TJ Mechanical engineering and machinery The design of current talus implant are focusing too much on mechanical simplicity and usually based on certain population which tends to ignore the anatomically difference between populations. An anatomically talus implant design is known can reduce the contact pressure but one of the constraints for designing implant anatomically is to get bone parameters. This is due to the difficulty to get enough volunteers in getting bone parameters using hazardous method (X-ray or CT scan) .Thus, the talus implant (TI) for particular population was developed based on artificial neural network (ANN) prediction. By using Finite Element Method (FEM), numerical models that include mainly the talus bone and the talus implants are created to compare the contact pressure distribution of the newly develop talus implant with the three different kind of current talus implant designs (BOX, STAR & TNK). For FEM results, only BOX and the newly develop talus implant exceeded the contact stress recommended for the superior articular surface compared to the others. The results also showed that the stress increased near the resected surface. Thus, it is agreed that excessive bone resection may not support the force at the ankle which consequently may contribute to early loosening and subsidence of the talus implant. It is concluded that the excessive bone resection can be avoided by perfectly match talus implant which only can be achieved by designing talus implant for a particular population. Trans Tech Publications 2018 Conference or Workshop Item PeerReviewed Rosdi, Daud and Mas Ayu, Hassan and Siti Haryani, Tomadi and Salwani, Mohd Salleh and S., Suaidah and Arman Shah, Abdullah and Mohammed Rafiq, Abdul Kadir (2018) Neural network as an assisting tool in designing talus implant. In: 6th International Conference on Nanostructures, Nanomaterials and Nanoengineering, ICNNN 2017 and 2nd International Conference on Materials Technology and Applications, ICMTA 2017, 26-27 October 2017 , Tokyo; Japan. pp. 153-160., 916. ISSN 0255-5476 ISBN 978-303571201-8 https://doi.org/10.4028/www.scientific.net/MSF.916.153 https://doi.org/10.4028/www.scientific.net/MSF.916.153
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Rosdi, Daud Mas Ayu, Hassan Siti Haryani, Tomadi Salwani, Mohd Salleh S., Suaidah Arman Shah, Abdullah Mohammed Rafiq, Abdul Kadir Neural network as an assisting tool in designing talus implant
description	The design of current talus implant are focusing too much on mechanical simplicity and usually based on certain population which tends to ignore the anatomically difference between populations. An anatomically talus implant design is known can reduce the contact pressure but one of the constraints for designing implant anatomically is to get bone parameters. This is due to the difficulty to get enough volunteers in getting bone parameters using hazardous method (X-ray or CT scan) .Thus, the talus implant (TI) for particular population was developed based on artificial neural network (ANN) prediction. By using Finite Element Method (FEM), numerical models that include mainly the talus bone and the talus implants are created to compare the contact pressure distribution of the newly develop talus implant with the three different kind of current talus implant designs (BOX, STAR & TNK). For FEM results, only BOX and the newly develop talus implant exceeded the contact stress recommended for the superior articular surface compared to the others. The results also showed that the stress increased near the resected surface. Thus, it is agreed that excessive bone resection may not support the force at the ankle which consequently may contribute to early loosening and subsidence of the talus implant. It is concluded that the excessive bone resection can be avoided by perfectly match talus implant which only can be achieved by designing talus implant for a particular population.
format	Conference or Workshop Item
author	Rosdi, Daud Mas Ayu, Hassan Siti Haryani, Tomadi Salwani, Mohd Salleh S., Suaidah Arman Shah, Abdullah Mohammed Rafiq, Abdul Kadir
author_facet	Rosdi, Daud Mas Ayu, Hassan Siti Haryani, Tomadi Salwani, Mohd Salleh S., Suaidah Arman Shah, Abdullah Mohammed Rafiq, Abdul Kadir
author_sort	Rosdi, Daud
title	Neural network as an assisting tool in designing talus implant
title_short	Neural network as an assisting tool in designing talus implant
title_full	Neural network as an assisting tool in designing talus implant
title_fullStr	Neural network as an assisting tool in designing talus implant
title_full_unstemmed	Neural network as an assisting tool in designing talus implant
title_sort	neural network as an assisting tool in designing talus implant
publisher	Trans Tech Publications
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/24058/ http://umpir.ump.edu.my/id/eprint/24058/ http://umpir.ump.edu.my/id/eprint/24058/
first_indexed	2023-09-18T22:36:15Z
last_indexed	2023-09-18T22:36:15Z
_version_	1777416614728171520

Neural network as an assisting tool in designing talus implant

Similar Items