Skip to main content

Optimal Design of Titanium Alloys for Prosthetic Applications Using a Multiobjective Evolutionary Algorithm

Datta, Shubhabrata, Zhang, Qian, Sultana, Nashrin, Mahfouf, Mahdi (2013) Optimal Design of Titanium Alloys for Prosthetic Applications Using a Multiobjective Evolutionary Algorithm. Materials and Manufacturing Processes, 28 (7). pp. 741-745. ISSN 1042-6914. (doi:10.1080/10426914.2013.773020) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:50512)

PDF Pre-print
Language: English

Restricted to Repository staff only
Contact us about this Publication
[thumbnail of Draft_MMP2_Optimal design of titanium alloys.pdf]
Official URL:


Multi-objective optimization using a Reduced Space Searching Algorithm is employed to optimally design titanium alloys suitable for prosthetic applications, i.e. with high strength, low elastic modulus, adequate biocompatibility and low economic costs. The objectives in question are conflicting in nature, and thus multi-objective optimization is the ideal candidate for approaching this problem. The latter was formulated in such a way that it was necessary to develop three separate objective functions for strength, elastic modulus and economic costs. The biocompatibility issue was introduced as a constraint in the optimization process. To develop the objective functions for yield strength and elastic modulus a two-layered fuzzy inference system is used. To take into account economical factors a weighted sum-based model of the elemental constituent is developed, including the costs of the alloying additions. The compositions of the alloy found from the Pareto solutions show that the above objectives can be fulfilled in the case of ? Ti-alloys only.

Item Type: Article
DOI/Identification number: 10.1080/10426914.2013.773020
Uncontrolled keywords: titanium alloy, prosthetic application, design, elastic modulus, yield strength, biocompatibility, fuzzy inference system, evolutionary optimization, multi-objective
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Qian Zhang
Date Deposited: 18 Sep 2015 11:42 UTC
Last Modified: 16 Feb 2021 13:28 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Zhang, Qian.

Creator's ORCID:
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.