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http://dx.doi.org/10.14775/ksmpe.2015.14.5.107

Turning Machining Optimization using Software Based on Cutting Force Model  

Ahn, Kwang-Woo (Graduate of School of Dong-A UNIV.)
Jeon, Eon-Chan (Department of Mechanical Engineering, Dong-A UNIV.)
Kim, Tae-Ho (T&S Machining Co.)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.14, no.5, 2015 , pp. 107-112 More about this Journal
Abstract
Increased productivity and cost reduction have emerged as the main goals of the industry due to the development of the machinery industry, and mechanical materials with excellent properties with the development of the machine tool industry are widely used in machine parts or structures. In addition, the cutting process of production plays a pivotal role in the production technology. Studies on cutting have involved a lot of research on the material, the cutting tool, the processing conditions, and numerical analysis. Due to the development of the computer through numerical analysis, cutting conditions, the assessment of cutting performance, and cutting quality could be predicted. This research uses the creation of the material model and AdvantEdge Production module for the NC code analysis. To improve the productivity, this research employs the optimization method to reduce cutting time.
Keywords
Turning; Cutting Force; Cycle Reduction Simulation; NC Code Optimization; Virtual Machining;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Hwang, B. C., Effects of the Cutting Condition on Tool Life and Surface Roughness in CNC Turning, A Thesis for a Master, Kyungpook University, 1993.
2 Ozel, T. and Karpat, Y., "Identification of Constitutive Material Model Parameters for High-strain Rate Metal Cutting Conditions Using Evolutionary Computational Algorithms," Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 659-667, 2007.   DOI
3 Shrot, A. and Baker, M., "Determination of Johnson-Cook Parameter from Machining Simulation," Computational Material Science, Vol. 52 pp. 298-304, 2012.   DOI
4 Ozel, T. and Zeren, E., "Determination of Work Material Flow Stress and Friction for FEA of Machining Using Orthogonal Cutting Tests," Journal of Materials Processing Technology, Vol. 153-154, pp. 1019-1025, 2004.   DOI
5 Hwang, J., "Determination of Mechanical Properties of Materials Under Extreme Deformation Conditions Using 2-D Orthogonal Machining," Workshop of Ultra Micro Production Technology, 2013.
6 Kim, Y. S. and Kwon, W. T., "Determination of Optimal Cutting Conditions in Milling Process using Multiple Design of Experiments Technique" The Korean Society of Manufacturing Technology Engineers, Vol. 20, No. 3, pp. 232-238, 2011.
7 Kwak, J. S., "Applciation of Taguchi and Prsponse Surface Methodologied for Geometric Error in Surface Grinding Process" International Journal of Machine Tools and Manufacture, Vol. 45, No. 3, pp. 327-334, 2005.   DOI
8 Hou, T. H., Su, c. H. and Liu. W. L., "Parameters Optimization of a Nano Particle Wet Milling Process using the Taguci Method Response Surface Method and Genetic Algorithm" Power Technology, Vol. 173, No. 3, pp. 153-162, 2007.   DOI
9 Lee, H. U., Ko, J. H. and Cho, D. W., "NC Code Optimization Based on an Improved Cutting Force Model", Proceedings of the Korean Society of Precision Engineering Conference, pp. 37-42, 2001.
10 Kim, S. H., Cho, H. D. and Kim, T. H. "Cycle Reduction Simulation for Turning Process" Journal of the Korean Society of Manufacturing Process Engineers, Vol. 14, No. 1, pp. 1-8, 2015.   DOI