Artificial Neural Network application for predicting in-flight particle characteristics of an atmospheric plasma spray process
- Authors: Choudhury, Tanveer , Hosseinzadeh, Nasser , Berndt, Christopher
- Date: 2011
- Type: Text , Journal article
- Relation: Surface and Coatings Technology Vol. 205, no. 21-22 (2011), p. 4886-4895
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- Description: Thermal spray consists of a group of coating processes that are used to apply metal or non-metallic coatings to protect a functional surface or to improve its performance. There are some 40 processing parameters that define the overall coating quality and these must be selected in an optimized fashion to manufacture a coating that exhibits desirable properties. The proper combination of processing variables is critical since these influence the cost as well as the coating characteristics.Because of this high number of processing parameters, a major challenge is to have full control over the system and to understand parameter interdependencies, correlations and their individual effects on the in-flight particle characteristics, which have significant influence on the in service coating properties. This paper proposes an approach, based on the Artificial Neural Network (ANN) method, to play this role and illustrates the model's design, network optimization procedures, the database handling and expansion steps, and analysis of the predicted values, with respect to the experimental ones, in order to evaluate the network's performance. © 2011 Elsevier B.V.
Customized pathway for smart grid development - A case study in Oman
- Authors: Hosseinzadeh, Nasser , Albadi, Mahammed , Alhinai, Amer , Albadi, Abdullah , Islam, Syed
- Date: 2016
- Type: Text , Conference proceedings , Conference paper
- Relation: 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016; Melbourne, Australia; 28th November-1st December 2016 p. 553-558
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- Description: A team of researchers at Sultan Qaboos University in Oman in conjunction with the Curtin University of Technology in Australia have studied the current state of the electrical power grid in Oman, and have worked out necessary steps towards developing a smart grid from the current status. The team has made thorough interviews with the main stakeholders of the electricity network and has developed a customized pathway for transition of enterprises from the conventional grid to a smart grid. Some recommendations are made with regard to policies, standards, regulatory framework, and enabling technologies. These recommendations can be considered as the building blocks for creating a roadmap for the transformation of the conventional grid to a smart grid in the Sultanate of Oman. Also, in order to develop and test a grid-connected renewable energy program suitable for residential premises, a microgrid prototype was designed and implemented.