熱不感機能を有する旋盤の開発（ニューラルネットワークの逆解法を用いた制御）

抄録

In the 21^st century, as it is important to produce products with care for protecting the earth, a producer must be careful to conserve energy, save resources and reduce waste which pollutes environment. On the other hand, in case of a machine tool, much lubricating oil was used for smooth drive, electrical energy of forced cooling was used for high accuracy and much cutting oil was also used for lubrication and cooling. This is large problem for protecting the earth. Therefore a lathe with insensibility function for thermal and temperature change was developed and evaluated. The lathe has the structure of zero-center on three directions, the structure of self-compulsory cooling and the structure of thermal synchronism. Furthermore the wind control on the surface of the self-compulsory cooling using inverse analysis of neural network was developed for insensibility function of thermal and temperature change. Then thermal deformations of the developed lathe were measured and evaluated in the several experiments. It is concluded from the results that; (1) Thermal deformation of the bench lathe was very small in spite of no-forced cooling, (2) The wind control on the surface of the self-compulsory cooling using inverse analysis of neural network was effective for its working stability at weather change, (3) The lathe with insensibility function for thermal and temperature change was eco-friendly.