Research on control using thermal synchronism at wet cutting in machine tool (Control using inverse analysis of neural network)

Abstract

As accuracy of industrial product was reduced by thermal deformation of a machine tool, a tool and a workpiece during cutting, there are several countermeasures for machining field. In the old days, we had developed and evaluated for a lathe with insensibility function for thermal and temperature change. The lathe has the structure of zero-center on three directions, the structure of self-compulsory cooling and the structure of thermal synchronism. Particularly the structure of thermal synchronism was developed for wet cutting. However the control method for the structure of thermal synchronism was yet to establish. Therefore the control using thermal synchronism at wet cutting in machine tool was developed and evaluated. The control system of fluid quantity on the structure of thermal synchronism 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 control system of fluid quantity on the thermal synchronism using inverse analysis of neural network was effective for its working stability during wet cutting.