Investigation of Wear Behavior of AS Forged Inconel 690 Super Alloy using Artificial Neural Networks
DOI:
https://doi.org/10.37255/jme.v4i3pp129-133Keywords:
Inconel 690, Taguchi, Artificial neural networksAbstract
The present study aims to study the wear properties of as forged Inconel 690. The dry sliding wear behavior of as forged Inconel 690 is studied in accordance with ASTM standards G99 i.e. dry sliding on pin on disc wear test apparatus. Three wear parameters namely normal load, sliding distance and sliding velocity were considered in this study. The experiments for wear loss have been conducted as per Taguchi Design of experiments. An L27 Orthogonal array was employed for this purpose. The wear loss obtained for As Forged Inconel 690 is predicted by the Neural Network Toolbox of MATLAB R2015a using the Levenberg-Marquardt (trainlm) algorithm which trains the feed forward neural network having 3-6-1 (three input neurons, six hidden neurons in the single hidden layer and one output neuron). Experimental data sets from obtained from L27 Orthogonal array have been utilized to develop ANN. The results concluded that error for wear loss of As Forged Inconel 690 lies within 10% between experimental data and neural network prediction.
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Vas J S,Fernandes A, D’Souza A, Rai A and Quadros J D (2016), “Analysis of temperature changes on the twist drill under different drilling conditions during dry drilling of austenitic stainless steel”, Journal of Mechanical Engineering and Automation, Vol. 6, 121-125.
Quadros J D, Bhosle V,Vaishak N L, Suhas and Singh R P(2018), “Effect of Welding on the Impact Toughness of Low Carbon Steel”, Journal of Manufacturing Engineering, Vol. 13,194-198.
Suhas, Quadros J D and Vaishak N L., (2018),“Microstructural Responses of Inconel 690 Super Alloys to Artificial Ageing”, Journal of Manufacturing Engineering, Vol. 13, pp. 32-34.
Suhas, Vaishak N L, and Quadros J D (2017), “Dry sliding wear behavior of AA 7075 reinforced short coated carbon metal matrix composites”, Journal of Advanced Manufacturing Technology, Vol. 11, pp. 115-128.
Hong J K, Kim I S, Park C Y and Kim E S (2005), “Microstructural effects on the fretting wear of Inconel 690 steam generator tube”, Wear, Vol. 259, 349–355.
Hong J K and Kim I S(2003), “Environment effects on the reciprocating wear of Inconel 690 steam generator tubes”, Wear, Vol. 255, 1174–1182.
Abedini M,Ghasemi H M and Ahmadabadi M N(2012), “Effect of Normal Load and Sliding Distance on the Wear Behavior of NiTi Alloy”, Tribology Transactions, Vol. 55, 677-684.
Banker V J, Mistry J M,Thakor M R and Upadhyay B H (2016), “Wear Behavior in Dry Sliding of Inconel 600 Alloy using Taguchi Method and Regression Analysis”, Procedia Technology, Vol. 23,383–390.
Ramesh, C S and Kumar, R S (2012) “Mathematical and Neural Network models for prediction of wear of mild steel coated with Inconel 718 – A Comparative Study”, International Journal of Scientific and Research Publications, Vol. 2. 1-8.
Kumar M and Bose S C(2013) “Wear Studies on Incoloy-800 and Prediction of Wear by ANN Model”, International Journal of Engineering Development and Research, 1- 12.
Quadros J D, Khan S A and Antony A J (2017), “Investigation of effect of process parameters on suddenly expanded flows through an axi-symmetric nozzle for different Mach Numbers using Design of Experiments”, IOP Conference Series: Materials Science andEngineering, Vol. 184, 1-8.
Quadros J D, Khan S A and Antony A J (2018), “Study of Effect of Flow Parameters on Base Pressure in a Suddenly Expanded Duct at Supersonic Mach number Regimes using CFD and Design of Experiments”, Journal of Applied Fluid Mechanics, Vol. 11, 483-496.
Quadros J D, Khan S A, and Antony A J (2018), “Modelling of Suddenly Expanded Flow Process in Supersonic Mach Regime using Design of Experiments and Response Surface Methodology”, Journal ofComputational Applied Mechanics, Vol. 49, 149-160.
Quadros J D, Khan S A, and Antony A J (2018), “Study of Base Pressure behavior in a Suddenly Expanded Duct at Supersonic Mach number Regimes using Statistical Analysis”, Journal of Applied Mathematics and Computational Mechanics, Vol. 17, 59-72.
Quadros J D, Khan S A, and Antony A J (2019), “Base Pressure Behavior in a Suddenly Expanded Duct at Supersonic Mach Number Regimes using Taguchi Design Of Experiments”, Mechanics and Mechanical Engineering , Vol. 22,1077-1097.
Quadros J D, Khan S A, and Antony A J (2017), “Predictive modeling of suddenly expanded flow process in the Supersonic Mach number regime using response surface methodology”, International Journal of Recent Research Aspects, Vol. 4, 53-58.
Montazer E, Yarmand H, Salami E, Muhamad, M R, Kazi S N and Badarudin A (2018)“A brief review study of flow phenomena over a backward-facing step and its optimization”, Renewable and Sustainable Energy Reviews, Vol.82, 994-1005.
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