Heat Flux Estimation at Heat Sources of Machine Tools by Solving Inverse Problems
Author:
Affiliation:
1. Graduate School of Engineering, Tottori University
Publisher
Japan Society of Mechanical Engineers
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Link
http://www.jstage.jst.go.jp/article/jamdsm/4/5/4_5_849/_pdf
Reference12 articles.
1. (1) Moriwaki, T. and Zhao, C., Prediction of Thermal Deformation of Machining Center by Applying Neural Network, Trans. Japan Soc. Mech. Eng., Series C, Vol. 58, No.550 (1992), pp.1932-1937(in Japanese).
2. (2) Moriwaki, T., Shamoto, E. and Kawano, M., Estimation of Thermal Deformation of Machine Tool by Applying Neural Network (Improvement of Estimation Accuracy by Utilizing Time-Series Data of Temperature on Machine Surfaces), Trans. Japan Soc. Mech. Eng., Series C, Vol. 61, No.584 (1995), pp.1691-1696(in Japanese).
3. (3) Mitsuishi, M., Okumura, T., Sugita, N., Nagao, T. and Hatamura, Y., Development of a High-Precision Machining Center Using Neural Networks and Genetic Algorithm, Trans. Japan Soc. Mech. Eng., Series C, Vol. 61, No.591 (1995), pp.4517-4522(in Japanese).
4. (4) Chen, L., Hirota, Y., Tsutsumi, M. and Nishiwaki, N., Positioning Accuracy of CNC Machine Tools (Thermal Effect Prediction Using Neural Network), Trans. Japan Soc. Mech. Eng., Series C, Vol. 62, No.599 (1996), pp.2686-2691 (in Japanese).
5. (5) Tanabe, I., Kaneko, Y., Saitoh, Y., Mori, H. and Urano, K., Simple and Intelligent Control Using Neural Network About Thermal Deformation of a Machine Tool, Trans. Japan Soc. Mech. Eng., Series C, Vol. 70, No.698 (2004), pp.2954-2960(in Japanese).
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