Prediction of tensile strength of friction stir weld joints with adaptive neuro-fuzzy inference system (ANFIS) and neural network-Reference-Cited by-同舟云学术

Prediction of tensile strength of friction stir weld joints with adaptive neuro-fuzzy inference system (ANFIS) and neural network

Published:2016-02 Issue: Volume:92 Page:288-299
ISSN:0264-1275
Container-title:Materials & Design
language:en
Short-container-title:Materials & Design

Author:

Dewan Mohammad W.,Huggett Daniel J.,Warren Liao T.,Wahab Muhammad A.,Okeil Ayman M.

Funder

NASA-SLS

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference42 articles.

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2. To analyze the effects of nine friction stir welding input parameters on measured process outputs, a 16-run fractional factorial experiment was used;Record;Weld. J.,2007

3. Establishing relationships between mechanical properties of aluminium alloys and optimised friction stir welding process parameters;Rajakumar;Mater. Des.,2012

4. Predicting tensile strength, hardness and corrosion rate of friction stir welded AA6061-T6 aluminium alloy joints;Rajakumar;Mater. Des.,2011

5. Prediction of tensile strength of friction stir welded aluminium matrix TiCp particulate reinforced composite;Gopalakrishnan;Mater. Des.,2011

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