Machining processes generate severe heat, which deforms thin metallic parts while they are being processed. The amount of deformation of a thin part is mainly dependent on heat and the shape of a component. The selection of machining parameters can decrease the temperature arisen during a machining process. This paper investigates selecting machining parameters to minimize the heat-deformation that is produced during machining. Taguchi method is applied to setup experiments. Three factors and three levels for each factor in the experimental design are selected. This research analyzes the effects of machining parameters to minimize the heat-deformation through examining the analysis of variance (ANOVA) and the signal to noise ratio (S/N).

Abstract
 1. Introduction
 2. Machining Conditions
 3. Taguchi Method: Design and Analysis
  3.1 Taguchi Method
  3.2 Analysis of the S/N ratio
  3.3 Analysis of variance (ANOVA)
 4. Conclusion
 References

• Hengbo Cui(Changwon National University)
• Jong-Yun Jung(Changwon National University)
• Dug-Hee Moon(Changwon National University)