Papers by Keyword: Robust Engineering

Abstract: Sintering is a key step in the metal injection molding (MIM) process, which affects the mechanical properties of the sintered part. The mechanical properties of the sintered compacts are resulted from tremendous sintered part densification. This work utilizes robust engineering technique in optimizing sintering parameters of metal injection molding compacts. Three quality characteristics; shrinkage, density and flexure strength is optimized using Taguchi method-based grey analysis. The modified algorithm adopted here was successfully used for both detraining the optimum setting of the process parameters and for combining multiple quality characteristics into one integrated numerical value called grey relational grade. The sintering parameters investigated are: sintering temperature, sintering time, and heating rate. The result concluded that sintering time is the most significant for the combination of the quality characteristics.

Abstract: Authors tried to construct multimedia base support system of the manufacturing process with use of the knowledge base and the inference engine on the www server. This knowledge database systematized the knowledge which was obtained from the document and the skilled engineer as much as possible by using a knowledge engineering technique. However, it is difficult for beginner to find the best processing condition under the condition of the material, the machine and the tool on grinding operation by using the conventional database. Especially, when they encountered the manufacturing condition which is not built into the conventional data base, the past optimum conditions cannot be obtained from the expert system. The best method of obtaining the optimum conditions as the solution of this problem is to execute some experiments for this new case. This research proposed the system, which presented a minimum combination of the multi factor experiments for the best manufacturing condition search by using the Taguchi method. We were able to obtain the best condition to use the proposed robust engineering by only 18 times.