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Corrosion and Wear Behavior of Nano-Zirconium (Zr) Coated Commercial Grade Cast Iron by Sol-Gel and Plasma Spray Process

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Open Journal of Composite Materials 2019年第2期9卷 57-71页

作者： Joel Hemanth Sara sowjanya Steevenson School of Engineering Presidency University Bangalore India Visveswaraya Technological University (VTU) Belgaum India

Hard facing with Nickel/cobalt based alloys for steel substrates are widely used for high temperature and pressure applications in chemically reactive environments due to their good corrosion and wear resistance properties. In the present research, the ceramic material, i.e., zirconium, is coated on a hypoeutectic cast iron substrate to improve its corrosion and wear resistance. The substrate was coated with zirconium by sol-gel process as well as by the plasma spray process for comparison purpose. Results of the research indicated that the successful deposition of zirconium on the cast iron substrate by sol-gel deposition technique had improved both corrosion and wear resistance of cast iron. SEM analysis revealed that the coating was denser without any internal cracks indicating the soundness of deposition. Also, sol-gel process of coating indicated better wear resistance as compared with plasma spray coated cast iron. Thus, zirconium coating on the substrate has made cast iron sound (without any surface defects) along with excellent corrosion and wear resistance properties. This has made cast iron suitable for structural and automotive applications.

关键词： Sol-Gel Coating Wear Corrosion Zirconium Cast Iron

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A Novel Integrated Machine&Business Intelligence Framework for Sensor Data Analysis

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Journal on Internet of Things 2021年第1期3卷 27-38页

作者： S.Kalyani A.Mary sowjanya K.Venkat Rao Vignan’s Institute of Engineering for Women Andhra UniversityVisakhapatnamIndia

Increased smart devices in various industries are creating numerous sensors in each of the equipment prompting the need for methods and models for sensor *** research proposes a systematic approach to analyze the data generated from sensors attached to industrial *** methodology involves data cleaning,preprocessing,basics statistics,outlier,and anomaly *** study presents the prediction of RUL by using various Machine Learning models like Regression,Polynomial Regression,Random Forest,Decision Tree,XG *** Parameter Optimization is performed to find the optimal parameters for each *** each of the model for RUL prediction RMSE,MAE are *** of the RUL prediction should be useful for decision maker to drive the business decision;hence Binary cclassification is performed,and business case analysis is *** case analysis includes the cost of maintenance and cost of non-maintaining a particular *** research is aimed at integrating the machine intelligence and business intelligence so that the industrial operations optimized both in resource and profit.

关键词： RUL prediction sensors IoT aircraft engine business intelligence

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