Research Papers: Friction and Wear

Mechanical Properties and Adhesive Scuffing Wear Behavior of Stir Cast Cu–Sn–Ni/Si3N4 Composites

[+] Author and Article Information
R. Nithesh

Department of Mechanical Engineering,
Amrita School of Engineering,
Amrita Vishwa Vidyapeetham,
Amrita University,
Coimbatore 641112, India
e-mail: nitheshr2014@gmail.com

N. Radhika

Department of Mechanical Engineering,
Amrita School of Engineering,
Amrita Vishwa Vidyapeetham,
Amrita University,
Coimbatore 641112, India
e-mail: n_radhika1@cb.amrita.edu

S. Shiam Sunder

Department of Mechanical Engineering,
Amrita School of Engineering,
Amrita Vishwa Vidyapeetham,
Amrita University,
Coimbatore 641112, India
e-mail: shiam666666@gmail.com

Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received October 3, 2016; final manuscript received February 16, 2017; published online June 9, 2017. Assoc. Editor: Nuria Espallargas.

J. Tribol 139(6), 061603 (Jun 09, 2017) (9 pages) Paper No: TRIB-16-1305; doi: 10.1115/1.4036185 History: Received October 03, 2016; Revised February 16, 2017

The modern technology developments have seeded for the necessity of composite materials that are incorporated with high hardness, high tensile strength, and better wear properties. Cu–Sn–Ni alloy as well as the composites of varying weight percentage of Si3N4 (5, 10, and 15) are fabricated by liquid metallurgy technique. The alloy and composites are tested for their tensile strength and hardness on Universal Testing Machine and Vickers microhardness tester, respectively. Based on the tests, Cu–Sn–Ni/10 wt. % of Si3N4 is found to have optimum mechanical properties. The scuff type adhesive wear behavior is studied through pin-on-disk tribometer under dry sliding conditions for Cu–Sn–Ni/10 wt. % of Si3N4 composite. Taguchi's design of experiments technique based on L27 orthogonal array model is used for analyses of process parameters in three levels such as applied load (10, 20, and 30 N), sliding distance (500, 1000, and 1500 m), and sliding velocity (1, 2, and 3 m/s). The parameters are ranked based on the signal-to-noise ratio and the analysis of variance approach. Based on wear results, applied load is found to have highest stature on influencing wear rate followed by sliding distance and sliding velocity. A generalized wear rate equation is obtained based on the linear regression model and its feasibility is checked. Scanning electron microscope (SEM) analyses revealed severe delamination occurred on maximum load condition. The development of this copper composite can have the possibility of replacing aluminum bearings.

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Fig. 1

Stir casting setup

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Fig. 2

Pin-on-disk tribometer

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Fig. 3

Microhardness of alloy and composites

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Fig. 4

Tensile strength of alloy and composites

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Fig. 5

SEM images of fractured surface of specimens: (a) pure alloy, (b) Cu alloy/5 wt. % of Si3N4,(c) Cu alloy/10 wt. % of Si3N4, and (d) Cu alloy/15 wt. % of Si3N4

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Fig. 6

S/N ratio response of composite

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Fig. 7

Mean of means plot of composite

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Fig. 8

SEM of worn surfaces at different load conditions: (a) L = 10 N, V = 1 m/s and D = 500 m and (b) L = 30 N, V = 1 m/s and D = 500 m

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Fig. 9

SEM of worn surfaces at different sliding velocity conditions: (a) V = 1 m/s, L = 20 N and D = 1500 m and (b) V = 3 m/s, L = 20 N and D = 1500 m

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Fig. 10

SEM of worn surfaces at different sliding distance conditions: (a) D = 500 m, L = 10 N and V = 2 m/s and (b) D = 1500 m, L = 10 N and V = 2 m/s

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Fig. 11

SEM of worn surface at L = 10 N, D = 500 m, and V = 3 m/s




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