DRUŠTVO LIVARJEV SLOVENIJESLOVENIAN FOUNDRYMEN SOCIETY
Član The World Foundry OrganizationMember of World Foundry Organization

Automobile manufacturers demand downsized components manufactured from materials possessing increased technological properties. To fulfill this, the processing of existing materials must be optimized. In the present study, the individual effects and interactions of the melt’s treatment and process parameters on the mechanical and metallographic properties were investigated in the as‐cast and T6‐states. This was carried out with the help of the Taguchi method to optimize the technological properties of this much used die‐cast A356 alloy. The interaction effects of the parameters considered in this study are hardly addressed in the literature. However, the results of the present investigation show that this aspect is fundamental for optimizing the technical properties of a die‐cast A356 alloy. For example, the titanium content of 0.20 %, conventionally used for grain refinement, can be reduced by up to 75 % when the die temperature is relatively low (here: 190 °C). This leads to increased as‐cast technological properties and cost savings. The effect of the modification on the shape, size and homogeneity on the silicon phase was described. In addition simulation results of microstructure evolution in technical aluminum alloys are presented.

 

Purpose of this paper: Main purpose was to create simulation data management system for storing simulation results, technologies, cad files, animations, filling and solidification parameters, etc.

Design/methodology/approach: The SimulationDB system is first step in technological data management. The next step is more complex database system, which allows you manage all technological data not only in one foundry but in the whole concern.

Findings: Interactive, technological knowledge base called „SimulationDB” lets you store information from each production process stage like: orders, preparation specific technology, production, quality control, etc. SimulationDB was made because there are a lot of problems storing different kind of technological data. Each production process stage generate a lot of parameters, information, technologists annotations, analysis and technology comparisons. Knowledge base for technologists – SimulationDB completes a gap in informatics infrastructure in each foundry lets you fast and easy access to information from each technological process.

Practical implications: SimulationDB was successfully implemented in one of the biggest foundry in Poland Originality/value: Original value of the paper is innovative, database system for simulation data management with unique method of creating technology with very good quality and low cost.

Keywords: Simulation Data Management, Project Management,; Productivity and performance management; Database for simulation results; Advanced data analysis