A Study of Optimization of Machining Conditions in Micro End-Milling By Using Response Surface Design

In cases of end-milling removal rate, depth of cut, cutting velocity and feedrate were taken into account as important factors affecting machining quality, tool fracture, tool wear and so on. Generally cutting conditions were determined on the basis of field experiences and many researches about cutting force acquisition by using dynamometer and tool shape design have been actively achieved, however quantitative data of the important influential factors for cutting conditions cannot be actually suggested. In this study axial depth of cut and radial depth of cut were taken into account as design factors among cutting conditions such as spindle RPM, feedrate, axial depth of cut and radial depth of cut by using a 3-axis micro machining system. Choosing width of machining errors as a criterion for machining quality, an approximate model was established by using "Response Surface Design". A relationship between design factors and response values was realized and cutting conditions of micro end-milling processes were optimized by using an optimization program called VisualDOC

Central composite design, Cutting conditions, Micro end-milling, Optimization, Response surface design

Aslan, N., 2008. Application of Response Surface Methodology and Central Composite Rotatable Design for Modeling and Optimization of a Multi-Gravity Separator for Chromite Concentration. Powder Technology, Volume 185, pp. 80-86.

Cheng, X., Wang, Z., Nakamoto, K., Yamazaki, K., 2010. A Study on the Micro Tooling for Micro/Nano Milling. The International Journal of Advanced Manufacturing Technology, Online First, Aug.

Cheng, X., Wang, Z., Nakamoto, K., Yamazaki, K., 2010. Design and Development of PCD Micro Straight Edge End Mills for Micro/Nano Machining of Hard and Brittle Materials. Journal of Mechanical Science and Technology, Volume 24, no. 11, pp. 2261-2268.

Hang, Y., Qu, M., Ukkusuri, S., 2011. Optimizing the Design of a Solar Cooling System using Central Composite Design Techniques. Energy and Buildings, Volume 43, pp. 988-994.

Koyamada, K., Sakai, K., Itoh, T., 2004. Parameter Optimization Technique using the Response Surface Methodology. Engineering in Medicine and Biology Society, 26th Annual International Conference of the IEEE, Volume 2, pp. 2909-2912.

Natarajan, U., Periyanan, PR., Yang, S. H., 2011. Multiple-response optimization for micro end-milling process using response surface methodology. The International Journal of Advanced Manufacturing Technology, Online First, Jan.

Oktem, H., Erzurumlu T., Kurtaran, H., 2005. Application of Response Surface Methodology in the Optimization of Cutting Conditions for Surface Roughness. Journal of Materials Processing Technology, Volume 170, pp. 11-16.

Osborne, D. M., Armacost, R. L., Pet-Edwards, J., 1997. State of the art in multiple response surface methodology, Systems, Man, and Cybernetics, International Conference of IEEE, Volume 4, pp. 3833-3838.

Tang, Z., Xia, W., Li, F., Zhou, Z., Zhao, J., 2010. Application of Response Surface Methodology in the Optimization of Burnishing Parameters for Surface Integrity. Mechanic Automation and Control Engineering (MACE), International Conference of IEEE, pp. 3887-3890.

VisualDOC Theory Manual, 2010. Vanderplaats Research & Development, version 6.2.2, Mar. 2010.

Vitanov, V. I., Javaid, N., Stephenson, D. J., 2010. Application of Response Surface Methodology for the Optimization of Micro Friction Surfacing Process. Surface and Coatings Technology, Volume 204, pp. 3501-3508.

Wang, J. S., Gong, Y. D., Abba, G., Chen, K., Shi, J. S., Cai, G. Q., 2008. Surface Generation Analysis in Micro End-Milling Considering the Influences of Grain. Microsystem Technologies, Volume 14, no. 7, pp. 937-942.