Paper Titles

Modeling and Prediction of Surface Roughness in Ultra-High Precision Diamond Turning of Contact Lens Polymer Using RSM and ANN Methods
p.139

Genetic Algorithm Based Optimization of ECDM Process for Polymer Matrix Composite
p.144

Experimental Study Pertaining to Microwave Sintering (MWS) of Al-Metal Matrix Composite - A Review
p.150

Influences of Housing Dimension on Ball Joint Properties
p.156

Multi Objective Optimization of Wear Behaviour of In Situ AA8011-ZrB₂ Metal Matrix Composites by Using Taguchi-Grey Analysis
p.162

Research on 3D Printing Forming Technology for Processing Tablet Material
p.168

Using Micro-Alloying (0.5Zr-0.4Ce) to Significantly Enhance Hardness, Tensile and Compressive Response of Magnesium
p.177

Microstructural Evolution in MgAlLiZnCaY and MgAlLiZnCaCu Multicomponent High Entropy Alloys
p.183

Effects of Antimony and Indium Addition on Wettability and Interfacial Reaction of Sn-3.0Ag-0.5Cu Lead Free Solder on Copper Substrate
p.188

HomeMaterials Science ForumMaterials Science Forum Vol. 928Multi Objective Optimization of Wear Behaviour of...

Multi Objective Optimization of Wear Behaviour of In Situ AA8011-ZrB₂ Metal Matrix Composites by Using Taguchi-Grey Analysis

Article Preview

Abstract:

Composite materials with aluminium alloy 8011 matrix and 0, 4 and 8 weight percentages of ZrB₂ reinforcements were synthesized by in-situ stir casting process. The presence and homogeneous distribution of the reinforcements were examined with X-ray diffraction analysis and scanning electron microscopic analysis. To investigate the effect of dry sliding wear parameters such as sliding distance, percentage reinforcement, load, sliding velocity and temperature on wear rate and co-efficient of friction, experiments were conducted using a pin on disc wear tester as per Taguchi’s orthogonal array design and the tribological behaviour of synthesized composites was investigated by statistical techniques. Significance and the influence of the parameters over the response were determined by analysis of variances and grey relational analysis was used to find the optimal combination of parameters to obtain minimum wear rate and co-efficient of friction.

You might also be interested in these eBooks

Composite Materials and Material Engineering II

Info:

Periodical:

Materials Science Forum (Volume 928)

Pages:

162-167

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.928.162

Citation:

Cite this paper

Online since:

August 2018

Authors:

B.M. Muthamizh Selvan, V. Anandakrishnan*, Muthukannan Duraiselvam, R. Venkatraman, S. Sathish

Keywords:

Aluminium Matrix Composites, Co Efficient of Friction, Grey Relational Analysis, In Situ Stir Casting, Wear

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2018 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] R. Gecu, Ş.H. Atapek and A. Karaaslan: Tribol Int Vol.115 (2017), p.608.

[2] S. Baskaran, V. Anandakrishnan and M. Duraiselvam: Mater. Des Vol. 60 (2014), p.184.

[3] W. Zhang, D. Ding and P. Gao : Mater. Des Vol.90 (2016), p.834.

[4] K. Umanath, K. Palanikumar and S.T. Selvamani Compos. Part B. Eng Vol. 53 (2013) p.159.

[5] Y. Bao, D.T. Gawne, J. Gao, T. Zhang, B.D. Cuenca and A. Alberdi: Surf. Coat. Technol Vol. 232 (2013) p.150.

[6] L.A. Mabhali, N. Sacks and S. Pityana: Wear, Vol. 290 (2012) p.1.

[7] A.A. Hamid, P.K. Ghosh, S.C. Jain and S. Ray: Wear, Vol. 265(1) (2008) p.14.

[8] N. Kumar, R.K. Gautam and S. Mohan Mater. Des Vol. 80 (2015) p.129.

[9] I. Dinaharan and N. Murugan: T. Nonferr. Metal.Soc Vol. 22(4) (2012) p.810.

[10] K.J. Lijay, J.D.R. Selvam, I. Dinaharan and S. Vijay: T. Nonferr. Metal.Soc Vol. 26(7) (2016) p.1791.

[11] Y.H. Çelik and K. Seçilmiş: Adv. Powder. Technol Vol. 28 (2017) p.2218.

[12] G.N. Kumar, R. Narayanasamy Natarajan, Babu, S.K., Sivaprasad, K. and S. Sivasankaran: Mater. Des Vol. 31(3) (2010), p.1526.

[13] S. Baskaran, V. Anandakrishnan and S. Sathish: Advanced Materials Research Vol. 651 (2013), p.251.

[14] C. Raja, R. Devi, S. Sivaprakash, V. Anandakrishnan: Applied Mechanics and Materials Vol. 592-594 (2014), p.755.

[15] S. Baskaran, V. Anandakrishnan, M. Duraiselvam and N.Keerthivasan: International Journal of Mechanical And Production Engineering Vol. 3 (2015), p.9.

[16] N.S. Prabhakar, N. Radhika and R. Raghu: Procedia. Engineer Vol. 97 (2014), p.994.

[17] S. Baskaran, V. Anandakrishnan, M. Durai Selvam, S. Raghuraman and V.M. Muthaiyaa: Adv. Appl. Mater Vol. 541 (2014), p.258.

DOI: 10.4028/www.scientific.net/amm.541-542.258

[18] P. P. Shantharaman, M. Prabhakar, V. Anandakrishnan and S. Sathish: Trans Indian Inst Met (2017).

[19] K. Ilayaraja, P. Ranjith Kumar, V. Anandakrishnan, S. Sathish, M. Ravichandran and R.Ravikumar: J. Adv. Chem. Vol. 13 (2017), p.5293.

[20] M.K. Sahu, A. Valarmathi, S. Baskaran, V. Anandakrishnan and R.K. Pandey: Proc IMechE Part B: J Engineering Manufacture Vol. 228 (2014), p.1501.