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Meeting Materials Science & Technology 2020
Symposium Advances in Surface Engineering
Presentation Title Application of Artificial Neural Network and Statistical Modeling to Study Water Contact Angle of Ductile Iron: Iron-graphite Composite
Author(s) Amir Kordijazi, Hathibelagal Roshan, Pradeep Rohatgi
On-Site Speaker (Planned) Amir Kordijazi
Abstract Scope The effect of graphite percentage, surface roughness, time, and droplet size on the water contact angle (CA) of ductile iron was examined. For design of experiment a full factorial design was utilized including 120 combinations of all factors and their levels. Contact angle values averaged 7211 with maximum of 92 and minimum of 46. Multilayer Perceptron Neural Network Model was used to investigate the correlation between the predictor factors and CA. The results indicate the linear correlation between the predicted and observed values to be 0.756. The result also shows that the surface roughness is the most important predictor in CA variation followed by elapsed time, droplet size, and graphite percentage. In addition to ANN, multi linear and polynomial regression analysis were carried out. The result shows that CA increases by increasing surface roughness, graphite percentage, and time. This suggest that the ductile iron surface follow a quasi Cassie-Baxter regime.
Proceedings Inclusion? Planned: At-meeting proceedings

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Application of Artificial Neural Network and Statistical Modeling to Study Water Contact Angle of Ductile Iron: Iron-graphite Composite
Effect of Surface Finish on the Corrosion Properties of Additively Manufactured Stainless Steel
Electroplating Powder for Cold Spray Applications
Non-Linear Through-Hole Fabrication by Electrochemical Machining
Nucleation, Growth, and Grain Structure Control of Electrodeposited Graded Density Alloys
Performance Analysis of Biomimetic Ionic Polymer-metal Composite (IPMC) Thin-Film Actuators
Reversible Electrochemical Mirror Devices Using Space Compliant Ionic Liquid Electrolytes

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