This paper describes an industrial application of case-based reasoning (CBR) in the aluminium die-casting industry: the setting of parameters of a pressure diecasting machine for a specific die. As well as describing the application, the paper shows how the system has evolved. The use of cases has given the system a flexibility which has enabled it to be used in ways that were not foreseen at t...

Die-design for the die-casting process is a time consuming and complex activity that requires domain knowledge and vast experience of the die-designer besides information about manufacturing resources, part geometry, delivery time and cost preferences, etc. Complexity of the die-design activity further increases in case of a multi-cavity die. Currently available die-design systems lack in the l...

Abstract: During solidification and casting in metallic molds, the heat flow is controlled by the thermal resistance at the casting-mold interface. Thus heat transfer coefficient at the metal- mold interface has a predominant effect on the rate of heat transfer. In some processes such as low pressure and die-casting, the effect of pressure on molten metal will affect the rate of heat transfer a...

Solidification rate of the casting affects greatly on the microstructure, quality as well as the mechanical properties of the casting. In centrifugal castings solidification rate is faster compared to gravity casting but still solidification depends on various process parameters like, die wall temperature, pouring temperature of the molten metal, wall thickness of the die and also rotational sp...

In the present paper a review for the experimental and finite element analysis techniques is adopted for gravity die casting. Experimental Data taken for Solidification of gravity die Casting is modeled and meshed initially then validation is followed by comparing the experimental and modeled results. This helps to optimize the design criteria for gravity die cast part. To overcome the problem ...

This research study proposes an innovative analysis for controlling the defects in aluminium die casting industry. In this analysis, casting process of a two-stroke engine oil pump body is concentrated. The component selected has often rejected due to blow hole defects. Six Sigma, the zero defect approach, is used in this study. Define measure, analyse, improve and control (DMAIC) problem solvi...

Castings of aluminum and plastics are of high importance in the industrial world. They are usually made using permanent metallic moulds for pressure die-castings and injection molding. Die-tools are usually produced from chromium maraging hot work tool steel and are heat treated to hardness between 29 and 48 HRC, 1-3 . Die life is a mayor factor of a die-casting process and it strongly affects ...

This chapter presents the application of a neural network to the industrial process modeling of high-pressure die casting (HPDC). The large number of interand intradependent process parameters makes it difficult to obtain an accurate physical model of the HPDC process that is paramount to understanding the effects of process parameters on casting defects such as porosity. The first stage of the...

The aim of this work is to improve the quality of castings by minimizing defects and scrap through the analysis of the data generated by High Pressure Die Casting (HPDC) Machines using computational intelligence techniques. Casting is a complex process· that is affected by the interdependence of die casting process parameters on each other such that changes in one parameter results in changes i...