Papers by Author: Hao Wu

Abstract: In contrast to Chinas rapid urbanization, the development of urban & rural planning technologies remained relatively lagged behind; their guiding framework, urban & rural planning and design theories are also increasingly rendered invalid in addressing the ever-growing types of urban problems. Concepts such as eco-city have attracted wide attention in recent years due to their potential in solving urban problems. However, many of them remain at a theoretical stage and most ecological development index derived from these researches cannot be directly used in guiding urban & rural planning. This paper try to study the basic principles of ecological planning and the rules of the planning analysis models in an effort to establish an ecologically-oriented planning method.

Abstract: The thermal error model of the 5-axis grinding machine tool was acquired by the homogeneous coordinate transformation, including 17 thermal error components. The thermal volumetric error real time compensation model was built by using the multiple regression analysis. The thermal error compensation control system and the temperature sensing system were developed and used as real-time compensation for the 5-axis grinding machine tool.

Abstract: Thermal errors and force-induced errors are two most significant sources of the NC grinding machine inaccuracy. And error compensation technique is an effective way to improve the manufacturing accuracy of the NC machine tools. Effective compensation relies on an accurate error model that can predict the errors exactly during machining. In this paper, a PSO–BP neural network modeling technique has been developed to build the model of the dynamic and highly nonlinear thermal errors and grinding force induced errors. The PSO–BP neural network modeling technique not only enhances the prediction accuracy of the model but also reduces the training time of the neural networks. The radial error of a grinding machine has been reduced from 27 to 8μmafter compensating its thermal error and force-induced error in this paper.

Abstract: This paper systematically presents the relationship between cutting forced-induced errors and the spindle motor current basing on kinematic chain of NC machine tools. Constructs the model of cutting force-induced errors with BP Neural network, and develops the real-time error compensation system. The compensation effect of this system is verified through the experiment and the compensation system is of a great importance to precision manufacturing industry.