This paper discusses the compiling and transferring of a NC program,then,by applyingthe concept of machining scenario,presents the process of 3-dimension dynamic graphic sim-ulation based on a NC program.This techniqu...This paper discusses the compiling and transferring of a NC program,then,by applyingthe concept of machining scenario,presents the process of 3-dimension dynamic graphic sim-ulation based on a NC program.This technique can be used in the simulation of NC machin-ing process carried out on a multi-axis machining center.In the end of this paper,some opti-mization principles for tool pathes and machining parameters are put forward.展开更多
The statistical process control techniques used in flexible manufacturing systems arestudied in this paper.Control charts which can be used in the low volume production are pro-posed.The automatic recognizer of unnatu...The statistical process control techniques used in flexible manufacturing systems arestudied in this paper.Control charts which can be used in the low volume production are pro-posed.The automatic recognizer of unnatural patterns for the control chart by using back-propagation neural network is also presented.展开更多
基金the Commission of Science,Techriology and Industry for National Defence(COSTIND).
文摘This paper discusses the compiling and transferring of a NC program,then,by applyingthe concept of machining scenario,presents the process of 3-dimension dynamic graphic sim-ulation based on a NC program.This technique can be used in the simulation of NC machin-ing process carried out on a multi-axis machining center.In the end of this paper,some opti-mization principles for tool pathes and machining parameters are put forward.
基金Supported bv the Commission of Science,Technology and Industry for National Defence of China.
文摘The statistical process control techniques used in flexible manufacturing systems arestudied in this paper.Control charts which can be used in the low volume production are pro-posed.The automatic recognizer of unnatural patterns for the control chart by using back-propagation neural network is also presented.
