Flatness is one fundamental element of geometric forms, and the flatness evaluation is particularly important for ensuring the quality of industrial products. This paper presents a new flatness evaluation in the view of the minimum zone evaluation - rotation method based on genetic algorithm. This method determines the minimum zone through rotating measurement points in three dimensions coordinate. The points are firstly rotated about coordinate axes. Then they are projected in one axis, and the smallest projection length is the flatness value. The rotation angles are optimized by genetic algorithm to improve search efficiency. An exponential fitness function and the rotation angles range is designed on the basis of flatness characteristics. An adaptive mode of crossover and mutation probability is used to avoid local optimum. The results show this method can search the minimum zone and converge rapidly.
After analyzing the influencing factors of flexible workpiece path(FWP) process deformation, this article proposes the basic conception of process deformation intelligent forecasting and compensation, start from the process modeling method of Takagi-Sugeno fuzzy neural network, to modify the classic FNN model and construct the multiple input/output TS-FNN model for FWP process control; with LMS law and steepest descent method, antecedent network membership function parameter adjustment and descent network parameter study method of TS-FNN model is deduced; finally to carry on comprehensive simulation on TS-FNN model, the result shows the constructed model is better than BP neural network and RBF neural network for an order of magnitude on predication accuracy; in the quilting process of flexible objects, compensated by TS-FNN, the path processing obtains good approaching effect, testing result indicates that the position error scope of quilting is from 0.078 to 0.162(mm), the accuracy is higher than excellence grade of quilting which refers to national standard FZ/T81005-2006.
The droplet transition of electrical arc welding is a complicated process that combines heat, mass and momentum transfer. A high-speed camera system with laser in the background is established to observe the fast changing process of molten droplet transition. A group of high-speed camera pictures which indicate the droplet gravity center is unstable in welding metal transfer process are taken and analyzed. The experimental results show that the electromagnetic force is the unstable root of the droplet gravity center.
From the perspective of microscopic mechanism to study the origin and the macroscopic behavior of the magnetic viscosity characteristics need to discuss the magnetic viscosity effects of the magnetic fluid dynamics, and the magnetic viscous forces in the magnetic fluid dynamics equations is the root cause of the magnetic viscosity effects. In the paper, the common expressions of first-order viscous force and quatratic viscous force of the magnetic fluid are derived from combining the magnetic fluid viscosity expression forms under different concentrations together, while based on the molecular circulation theory and electromagnetic dynamics principle, the quatratic magnetic viscous force model of magnetic fluid is derived from the basic relationship between the magnetic relaxation process. Furthermore the coefficient correction model of the quatratic viscous force is given when the solid particles of magnetic fluid present the formation of chain. Finally it shows the magnetic fluid viscous force model and a clear description of the external magnetic field influence on the magnetic fluid viscosity changes.
The interoperability among diversified ubiquitous sensor network platforms can be solved well by employing XML technology. According to the requirement that implementing accurately remote XML configuration strategy for spot equipments, a new dynamic interpretation method of XML configuration strategy is proposed. First, an XML-based IP mode measurement & control system is introduced. On the basis of realizing graphical strategy editor, the innovative ways and technologies of some key problems for dynamic interpretation method were especially discussed in this paper, including configuration strategy conversion combining preorder binary tree traversal with stack, XML strategy decomposition based on DOM tree model and dynamical update of XML configuration strategy. Finally, an application example in IP mode ethanol concentration measurement & control system is introduced. Experimental results show that the new method can greatly simplify conversion from measurement & control strategy to microinstructions, which saves system resources and improves greatly the speed of interpretation.
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