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Volume & Issue no: Volume 3, Issue 6, June 2014


Optimization of Casting Process Parameters through Simulation
Author Name:
Vivek S.Gondkar, K .H. Inamdar
Abstract Casting simulation helps visualize mold filling and casting solidification; predict related defects like cold shut, shrinkage porosity and hard spots; and optimize the casting design to achieve the desired quality with high yield. Flow and solidification of molten metals is however, a very complex phenomenon that is difficult to simulate correctly by conventional computational techniques, especially when the part geometry is intricate and the required inputs ((like thermo-physical properties and heat transfer coefficients) are not available. For industrial application, we need alternate approachess that is fast, reliable and user-friendly. It is important to trace the history of such approaches, starting from the Modulus Concentration Method in recent Gradient Vector Method in 2012, as well as their incorporation in software programs for casting design a and simulation. Key benefits and best practices, based on studies of industrial cases of casting defect prediction and feeding system optimization, are presented. Current research directions include integration of basic and advanced simulation techniques, useful for large foundries; and cloud-based simulation, useful for SME foundries. Optimization plays vital role in business. It is an effort towards making the things run smoothly with efficient utilisation of available resources. Optimization is the philosophy of life. When applied to the engineering sector, that too to foundry it saves unnecessary wastage of resources. This leads to the noticeable savings in terms of cost. In this paper new method of casting defect analysis is proposed and studied. Key Words: Casting Design, Casting Defect, Simulation, Optimization and Analysis etc…
Cite this article:
Vivek S.Gondkar, K .H. Inamdar , " Optimization of Casting Process Parameters through Simulation " , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 6, June 2014 , pp. 276-283 , ISSN 2319 - 4847.
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