Papers by Author: Qing Xin Meng

Abstract: Panel layout in control room of nuclear power plant requires satisfying layout principles and requirement for multiple operational conditions. Traditional panel layout methods are difficult to integrate these principles; the layout scheme heavily depends on designers’ individual judgments and experience. So the randomness of layout scheme is hard to overcome. Particle swarm optimization is a global efficient solution to complex optimization problems with multi-constraints. First, the operational efficiency is selected as optimization object. Second, objective function is constructed according to the evaluating indexes which include operation frequency, sequence and importance of components. Third, Particle swarm algorithm was used to optimize the layout scheme. A case study of layout optimization design is conducted to illustrate the proposed method.

Abstract: Underwater interfacing technique is the key technique of the underwater vehicle. Now the technique is mainly used in the submarine rescue. Based on the structural characteristics of the model of BSAV-Ⅰand the interfacing apparatus with the manipulators which are made by Harbin Engineering University, a group of equations were defined and solved based on the six freedom motion of the model. The software Creator and Vega were used to build virtual ocean geographic environment and the deep submergence rescue vehicle(DSRV), the virtual simulation system is created，with which the virtual simulation of the docking process of DSRV and the disable marine is done. Except this, the research on simulation system of the interfacing apparatus of the underwater vehicle based on VR can test the docking strategy, find the problems in docking and improve the structure of the interfacing apparatus.

Abstract: . A novel method for layout has been proposed for control panel. Six layout principles of ergonomics are taken into consideration to reduce the influences of indeterminate factors caused by the subjective judgments of designers. Optimization method and function is constructed to optimize the layout result based on genetic algorithm. And a computer-aided layout system is developed based on UG/OPEN API to realize automatic layout by computer. A detailed example of control panel layout of a thermal power plant is provided. The result shows that the efficiency and quality of layout are improved by this method.

Abstract: Nonholonomic wheeled mobile service robot’s posture error model denoted by polar coordinates in global coordinates is established .Based on the inherent discontinuousness of the closed-loop system model, a novel nonlinear state feedback stabilization control law is proposed，which causes closed-loop system state space equation of robot to have isolated equilibrium state at origin. By Lyapunov candidate function method，this paper concludes that the closed-loop system is global uniformly asymptotically stable at origin. Simulation results indicate that the proposed control law is effective.

Abstract: Diamond wire saw was a tool which is used to cut the steel-based material, its grinding mechanism was researched in the paper. Based on technical characteristic of the diamond wire, a string of diamond beads in the cutting moment was detected by using the electron microscope. Wear figuration and invalidation reason of the diamond beads was analyzed, and mathematic relation among wear rate, feed velocity and cutting velocity of the diamond wire were educed, and reasonable cutting parameters were received. In order to validate the mathematic model, the experiment was finished. When the diamomd wire saw is used to cut the steel-based material, its two experiential formulas of radial feed force and tangent cutting force are educed by using the orthogonal regression method. In the formula, radial force and cutting force is increasing with augment of the workpiece breadth, ridial feed velocity and cutting velocity, and influence of the workpiece breadth to the cutting force is more than to the radial force. Meanwhile, experiment show yet that error between theory cutting(or feed) force and actual cutting(or feed) force is in the reasonable scope.

Abstract: The theory and the algorithm of Particle swarm optimization (PSO) based for neural network training were applied in the research of the modeling of milling force in high speed machining. The PSO was used to train connection weights of multi-layer feed forward neural network until the fitness error tended to be stable. Then BP algorithm was adopted to accomplish cutting force forecasting based on optimized initial weights, which take full use of the global optimization of PSO and local accurate searching of BP. The results of simulation showed that with comparison with other BP algorithms, PSO-BP not only effectively shortens the time of training networks, but also greatly improves the accuracy of prediction and universal approximation. PSO technique can act as an alternative training algorithm for ANNs.

Abstract: In order to figure out the temperature anywhere and anytime in the milling insert, based on the point heat source, and grounded on the experimental data, we established the mathematics model of heat density function and temperature field for milling insert with 3D complex groove under the irregular heat source, and has proved correctly to its special case with this mathematics model, thus established the theoretical foundation for groove optimizing and reconstruction of milling insert with 3D complex groove.

Abstract: The fingertip force sensor is the key for the complex task of the dexterous underwater hand, in order to safely grasp an unknown object using the dexterous underwater hand and accurately perceive its position in the fingers, a sensor should be developed, which can detect the force and position simultaneously. Furthermore, this sensor should be used underwater. It is difficult to employ the accustomed calibration method for the characteristic of the fingertip force sensor, and the accustomed method is not able to assure the precision. A calibration method based on RBF (Radial-Basis Function) neural network is introduced. Furthermore, the calibration system and program are also designed. The calibration experiment of the sensor is carried out. The results show the nonlinear calibration method based on RBF neural network assure the precision of the sensor, which meets the demand of research on the underwater dexterous hand.