DEVELOPING AN EMPIRICAL RELATIONSHIP TO PREDICT BONDING STRENGTH OF FRICTION SURFACED MATERIALS
Keywords:
Friction surfacing, bonding strength, factorial technique , RSM techniqueAbstract
Friction surfacing was attempted with an Aluminum rod on a Mild steel Substrate. In this paper Empirical relationship were developed using three factors fine levels. Factorial technique to predict the coating bond strength. Design of experiments concepts has been used to optimize the number of experimental conditions. These factorial techniques are used to reduce the cost and time involved, as well as to obtain the information about the direct effect on the response parameters. This process of friction surfacing is mainly controlled by parameters like Rotational speed, traverse speed and Axial Force. The experiment has been conducted by varying process parameters as per the design matrix and the resultant bonding strength has been calculated. The effect of these parameters on the factor of bond strength of the coatings have been measured and optimized for various applications of Friction surfacing using RSM technique. Using RSM technique, we optimize for the optimal values of the Process parameters of Friction surfacing to get maximum bonding strength for the frictionally surfaced materials for their applications.
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References
Klopstock H and Neelands A R (1994), “An improved method of joining and welding metals”. Patent specification No. 572789,U.K.
Kh A Tyager (1959), “Friction welding in the reconditions of worn component”, Weldprod, Vol.10(1), 23-24
Batchelor A W, Jana S, Koh C P and Tan C S (1996), “The effect of metal type and multi-layering on friction surfacing”, journal of materials processing technology, Vol. 57, 172-181
Margam chandrasekaran, Andrew william Batchelor and Sukumar Jana (1997), “Friction surfacing of metal coatings on steel and aluminium substrate”, Journal of materials processing Technology, Vol. 72, 446-452.
Vitanov V I, Voutchkov I I and Bedford G M (2000), “Decision support system to optimize the frictec (friction surfacing) process”, Journal of materials processing technology, Vol.107, 236-242.
Jayaraman M, Sivasubramanian R, Balasubramanian V and Lakshminarayanan A K (2008), ‘Prediction of tensile strength of friction stir welded A356 cast aluminium alloy using response surface methodology and artificial neural network’, International journal for manufacturing science &production, Vol.9, 1-2.
Voutchkov I, Bb.Jawaorsk, Vitanov V I and Bedford G M (2001), “An integrated approach to friction surfacing process optimization”. Surface and coatings technology, Vol. 141, 26-33.
Vitanov V I, Voutchkov I I and Bedford G M (2001), “Neurofuzzy approach to process parameter selection for friction surfacing applications”. Surface and coatings technology, Vol. 140, 256-262.
Tokiwue, Hiroshi, Katoh, kazuyoshi, Asahina, Toshikatsu and Ushiyama, Toshio (2004), “Mechanical properties of 5052/2017 dissimilar aluminum alloys deposit by friction surfacing”, Journal of Japan institute of light metals. Vol. 54(9), 373-379.
Vitanov V I, Voutchkov I I (2005), “Process parameters selection for friction surfacing application using intelligent decision support”, Journals of materials processing technology 159, 27-32.
Box G E P, Hunter W H and Hunter J S (1978), “Statistics for Experiments”, John Wiley Publications, New York.
Miller I, Freund J E and Johnson (1999), “Probability and Statistics for engineers”, New Delhi: Prentice of Hall of India Pvt. Ltd.
Johnson and Leona F C (1964), “Statistics and experimental design in engineering and physical sciences”, John Wiley & Sons, New York.
Montgomery D C (2001), “Design and Analysis of Experiments”, John Wiley & Sons, New York.
