AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Friction Article
PDF (991.3 KB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Multi-output optimization of tribological characteristics control factors of thermally sprayed industrial ceramic coatings using hybrid Taguchi-grey relation analysis

Mohammed YUNUS( ), Mohammad S. ALSOUFI
Mechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah 21514, Kingdom of Saudi Arabia
Show Author Information

Abstract

Lasma-sprayed thermal barrier coatings (TBCs) are gaining wide popularity and becoming more attractive for many industrial applications due to their high strength, thermal barrier/fatigue characteristics at elevated temperatures, resistance to chemical degradation, wear resistance, and environmental corrosion protection provided when coated on the surface of engineering components. To characterize the tribological properties of TBCs, a better understanding of their failure mechanisms and a thorough investigation of their performance are required. In this research, we used Taguchi-based grey relational analysis (GRA) to optimize the process parameters of various tribological characteristics of ceramic coatings applied via an atmospheric plasma spray process. Using Taguchi L16 factorial mixed-level experimental design, we also evaluated tribological characteristics such as wear loss and the coefficient of friction. Using GRA, we successfully performed a multiple output optimization and ranking of the control factors. Based on ANOVA results, we evaluated the significance of each process parameter and validated our findings in tests using the obtained optimum set of process parameters. Our study results will help to minimize wear loss and the coefficient of friction and to maximize TBC life.

Keywords

tribological characteristicswear losscoefficient of frictionhybrid Taguchi-grey relational analysisanalysis of variance (ANOVA)thermal barrier coatings (TBCs)

References

[1]
Fazlur R J, Yunus M. Benefits of TBC coatings on engine applications. In International Conference INCAM 2009 at Kalsalingam University, Tamil Nadu, India, 2009.
[2]
Pan L K, Wang C C, Wei S L, Sher H F. Optimizing multiple quality characteristics via Taguchi method-based grey analysis. J Mater Process Technol 182: 107–116 (2007)
Crossref Google Scholar
[3]
Yunus M, Fazlur R J. Optimization of usage parameters of ceramic coatings in high temperature applications using Taguchi design. Int J Eng Sci Technol 3(8): 6364–6371 (2011)
Google Scholar
[4]
Yunus M, Fazlur R J, Feroz K S. Evaluation of machinability characteristics of industrial ceramic coatings using genetic programming based approach. Int J Eng Sci Technol 2(2): 126–137 (2011)
Google Scholar
[5]
Yunus M, Fazlur R J, Feroz K S A. Genetic programming approach for the prediction of thermal characteristics of ceramic coatings. Int J Ind Engg Resd Devel 2(1): 69–79 (2011)
Google Scholar
[6]
Yunus M, Fazlur R J. Some investigations on mechanical and tribological characteristics of industrial ceramic coatings. Int J Sci Res 1(4): 156–170
Google Scholar
[7]
American Society of Materials. Introduction to Thermal Spray Processing, Handbook of Thermal Spray Technology. ASM International, Cleveland, USA.
[8]
Ramachandran K, Selvarajan V, Sree K K P. Microstructure, adhesion, microhardness, abrasive wear resistance and electrical conductivity of plasma sprayed alumina and alumina-titania coatings. J Thin Solid Films 315: 144–152 (1997)
Crossref Google Scholar
[9]
Deng J L. The introduction to grey system theory. J Grey System 1(1): 1–24 (1989).
Google Scholar
[10]
Roy N, Kuar A S, Mitra S, Acherjee B. Nd:YAG laser microdrilling of SiC-30BN nanocomposite: Experimental study and process optimization. In 5th International & 26th All India Manufacturing Technology Design and Research Conference (AIMTDR 2014), IIT Guwahati, Assam, India, 2014: 224–226.
[11]
Sadasiva Rao T, Rajesh V, Venu Gopal A. Taguchi based grey relational analysis to optimize face milling process with multipl performance characteristics. In International Conference on Trends in Industrial and Mechanical Engineering (ICTIME'2012), Dubai, 2012: 166–170.
[12]
Mishra P C, Das D K, Ukamanal M, Routara B C, Sahoo A. K. Multi-response optimization of process parameters using Taguchi method and grey relational analysis during turning AA 7075/SiC composite in dry and spray cooling environments. Int J Ind Eng Comput 6: 445–456 (2015)
Crossref Google Scholar
[13]
Kannan, S, Kishawy H A. Surface characteristics of machined aluminum metal matrix composites. Int J Machine Tools Manufact 46: 2017–2025 (2006)
Crossref Google Scholar
[14]
Krishna A A, Reddy S R, Reddy P R. Temperature prediction in orthogonal machining of A1/SiCp composites. Int J Emerg Technol Adv Eng 2(6): 223–229 (2012)
Google Scholar
[15]
Suryanarayanan K, Praveen R, Raghuraman S. Silicon carbide reinforced aluminum metal matrix composites for aerospace applications: A literature review. Int J Innov Res Sci Eng Technol 2(11): 6336–6344 (2013)
Google Scholar
Friction
Volume 4 Issue 3,
September 2016
Pages 208-216
DOI: 10.1007/s40544-016-0118-6
Cite this article:
YUNUS M, ALSOUFI MS. Multi-output optimization of tribological characteristics control factors of thermally sprayed industrial ceramic coatings using hybrid Taguchi-grey relation analysis. Friction, 2016, 4(3): 208-216. https://doi.org/10.1007/s40544-016-0118-6

692

Views

28

Downloads

15

Crossref

N/A

Web of Science

16

Scopus

0

CSCD

Altmetrics
Received: 02 April 2016
Revised: 27 May 2016
Accepted: 23 June 2016
Published: 09 September 2016
© The author(s) 2016

This article is published with open access at Springerlink.com

Open Access: The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Return