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CNC machine tools are advanced, complex and intelligent processing equipment. In order to ensure that the CNC machine tools can operate smoothly and safely, we should pay more attention to the reasonable application and maintenance so as to generate greater efficiency and prolong its service life. In the article the author sorts out some rules and problems in the usage and maintenance of CNC machine tools and provides some reference for the rational use, maintenance of CNC machine tools.

This paper mainly proposes an efficient modified particle swarm optimization (MPSO) method, to identify a slider-crank mechanism driven by a f oriented PM synchronous motor, dynamic formulations of a slider-crank mechanism have been successfully formulated with only one independent variable. The parameters of many industrial machines are difficult to obtain if these machines cannot be taken apart. In system identification, we adopt the MPSO method to find parameters of the slider mechanism. This new algorithm is added with "distance" term in the traditional PSO's fitness function to avoid converging to a local optimum. It is found that the MPSO method can obtain optimal high quality solution, high calculation efficiency, and its feasibility and effectiveness. Finally, the comparisons of numerical simulations and experimental results prove that the MPSO identification method for the slider-crank mechanism is feasible.

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