Shear strength prediction of Ni–Ti alloys manufactured by powder metallurgy using fuzzy rule-based model-Reference-Cited by-同舟云学术

Shear strength prediction of Ni–Ti alloys manufactured by powder metallurgy using fuzzy rule-based model

Published:2010-03 Issue:3 Volume:31 Page:1180-1185
ISSN:0261-3069
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Tajdari M.,Ghaffarnajad Mehraban A.,Khoogar A.R.

Publisher

Elsevier BV

Subject

Applied Mathematics,General Mathematics

Reference18 articles.

1. Modelling the effect of particle size and iron content on forming of Al–Fe composite preforms using neural network;Selvakumar;J Mater Des,2007

2. On the mechanics of cold die compaction for powder metallurgy;Al-Qureshi;J Mater Process Technol,2005

3. A neural network approach for solution of the inverse problem for selection of powder metallurgy materials;Smitha;J Mater Process Technol,2002

4. Modelling of the prediction of tensile and density properties in particle reinforced metal matrix composites by using neural networks;Koker;Mater Des,2005

5. Artificial neural network (ANN) approach to prediction of diffusion bonding behavior (shear strength) of Ni–Ti alloys manufactured powder metallurgy method;Taskin;Math Comput Appl,2008

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding Interfacial Reactions in Ti–Ni Diffusion Couple;Materials;2023-03-11

2. Quantitative analysis of diffusion kinetics of intermetallic formation in Ni–Ti system;Journal of Materials Research and Technology;2022-09

3. Fuzzy Logic and Fuzzy Expert System-Based Material Synthesis Methods;Fuzzy Logic;2020-02-05

4. Fuzzy Logic-Based Material Selection and Synthesis;2019-03

5. Review on the New Materials Design Methods;13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018;2018-12-29