Additivity ensures stability of design: Role of orthogonal arrays for process optimization through additive model

The maintaining of a smooth quality of research to upgrade product performance, quality and with minimum possible production cost through Off-line quality control is a effective way of optimizing product and process design in support of on-line quality control. At the off-line stage, several ideas are generated and analysis, an appropriate one is chosen and translated into concrete engineering specifications. The Taguchi method combining with the experimental design techniques with quality loss consideration is conventionally used for off-line quality control. When volume of parameters becomes large, the application of the new approach more critical, therefore, how to identify the impact variables and find out the optimal values for them is turned out to be more difficult. In this Research, a statistical Taguchi approach and additive model were devised to evaluate the effect of various parameters and identify the optimal parameter setup values in a fabrication of microfluidics by molding process.