Experimental Investigation and Artificial Neural Network Modeling of Warm Galvanization and Hardened Chromium Coatings T
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TECHNICAL ARTICLE—PEER-REVIEWED
Experimental Investigation and Artificial Neural Network Modeling of Warm Galvanization and Hardened Chromium Coatings Thickness Effects on Fatigue Life of AISI 1045 Carbon Steel Kazem Reza Kashyzadeh . Erfan Maleki
Submitted: 13 March 2017 / in revised form: 7 September 2017 ASM International 2017
Abstract In the present study, the main purpose is investigation of the coatings thickness effect on the fatigue life of AISI 1045 steel. Herein, two different coatings of warm galvanization and hardened chromium have been used on the specimens. Fatigue tests were performed on specimens with different coating thicknesses of 13 and 19 lm. In the high-cycle level, S–N curves are extracted with 13 points for each sample. The results show that the galvanized coating is the most appropriate coating with low thickness, but with significant increasing of coating thickness, the best choice is hardened chromium coating. However, artificial neural network (ANN) has been used as an efficient approach instead of various and costly tests to predict and optimize the engineering problems. In this study, fatigue life of AISI 1045 steel was modeled by means of ANN. Back propagation (BP) error algorithm is developed to network’s training. The experimental data are employed in order to train the network. ANN’s testing is accomplished using test data which were not used during networks training. Amplitude stress and thickness of coatings are regarded as input parameters, and fatigue life is gathered as an output parameter of the network. A comparison was made between experimental and predicted data. The predicted results were in admissible agreement with experimental ones, which indicate that developed neural network can be used for modeling the mentioned process. Keywords Fatigue life Coating Hardened chromium Warm galvanization Artificial neural network
K. Reza Kashyzadeh (&) E. Maleki Mechanical Engineering Department, Sharif University of Technology-International Campus, Kish Island, Iran e-mail: [email protected]
Introduction AISI 1045 steel is a medium tensile low hardenability carbon steel generally supplied in the black hot-rolled or occasionally in the normalized condition, which is used by different industries such as automotive, mechanics, aerospace and marine. A significant limitation for using of metals in the marine industry is their susceptibility to corrosion. Plating and painting are the most common anticorrosion treatments that work by providing a barrier of corrosion-resistant material between the damaging environment and the structural material [1–3]. However, the working conditions of parts should also be studied. At least 90% of in-service mechanical parts fail due to fatigue. So, the studying of fatigue and corrosion occurring simultaneously is necessary in the marine industry. The damage caused by the simultaneous action of fatigue and corrosion is much higher than that under fatigue loading after the corrosion process [4–6]. In recent decades, many studies
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