To de sign an optimum die, it ha s been unde rstood that it is very di ffic ult to achieve the target practically witho ut prior prediction. It need s contin uo us monitoring of the proce ss, starting from the fir st shot until the fail ure of the die. Even then it cannot be said that, the die ha s been optimi sed to prod uce a parti cular part. To decide so, several te sts sho uld be carried o ut on the same part. As thi s will be very co stly, it wo uld be unwi se to do it. B ut in the pre sence of theoretical analy si s, the n umber of te sts will be red uced. For the se rea son s the Finite Element Analy sis (FEA) would appear to be well suited to inve stigate the re spon se of such sy stem to struct ure and potential loading. Such a comp utational inve stigation is the subject of thi s re search. 

Abstract: This paper is to find the influence of thermal stresses on die casting design. Finite Element Analysis (FEA) have been utilized for this purpose. Different parameters such as temperature, and mechanical properties of die material are studied. Temperature transients at different locations of the specimens are measured and used in calibration of finite element model (FEM). The computation of transient stresses is performed by developed FEM. The results showed significant differences in produced thermal stresses for analyzed materials, test parameters, and edge geometries.

Configurable Computer Design for Guidance and Control Algorithms

In this paper mappings of several different algorithms from the fields of operating systems and multimedia are discussed, together with the underlying system architecture. The system architecture is based on a board with four FPGA circuits. For the purpose of this research, a simulator of the system has been developed, and different interconnection networks, memory, and bus architectures have been tested. The results of the simulation, as well as analytical results, are presented.

Abstract: Die ca sting process is one of the widely used processes in the manufacturing area. It has the capability for high production rate s with good strength, high quality part s with complex shape s. Die is the main factor which affect s the cost of this process. Even when the process is semi or fully automated the cost of the die is proportionately high. Commercially available FEA Software (LUSAS) has been u sed. A full Finite Element Analysis was carried out in order to achieve an optimum de sign, and to predict the die life. The analysis has been repeated several time s for different element s to achieve the best possible de sign. Since ca sting is a repetitive manufacturing process, fatigue load was taken into consideration and analysis carried out for a high number of cycle s.