Optimization of stir–squeeze casting parameters for production of metal matrix composites using a hybrid analytical hierarchy process–Taguchi-Grey approach-Reference-Cited by-同舟云学术

Optimization of stir–squeeze casting parameters for production of metal matrix composites using a hybrid analytical hierarchy process–Taguchi-Grey approach

Published:2019-08-08 Issue:7 Volume:52 Page:1166-1183
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Arunachalam Ramanathan¹^ORCID,Piya Sujan¹,Krishnan Pradeep Kumar²,Muraliraja Rajaraman³^ORCID,Christy John Victor⁴,Mourad Abdel-Hamid I.⁴,Al-Maharbi Majid¹

Affiliation:

1. Mechanical & Industrial Engineering Department, Sultan Qaboos University, Muscat, Sultanate of Oman

2. Department of Mechanical & Industrial Engineering, National University of Science and Technology, Muscat, Sultanate of Oman

3. Technology & Advanced Studies (VISTAS), Vels Institute of Science, Chennai, India

4. Department of Mechanical Engineering, United Arab Emirates University, Al-Ain, United Arab Emirates

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2019.1639693

Reference45 articles.

1. Multi-response optimization in the development of oleo-hydrophobic cotton fabric using Taguchi based grey relational analysis

2. Parametric optimization for improving impact strength of squeeze cast of hybrid metal matrix (LM24–SiCp–coconut shell ash) composite

3. Material Selection for Preparation of Aluminium Hybrid Mmcs

4. Development of metal-matrix composites from industrial/agricultural waste materials and their derivatives

5. Transient thermomechanical analysis of automotive disc brake with gray cast iron composition

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