Key Engineering Materials Vol. 567

Abstract: This paper presents a new tool path generation strategy for rough machining based on the dynamic in-process stock model of the workpiece. Compared to conventional roughing method, the new tool paths result in a better surface finish but consume the same machining time. The cutter locations in the tool path are determined by removing the peak portion of the residual materials on the stock. The geometric information of remaining stocks is updated dynamically in the in-process model once each cutting pass is completed. The overall machining time is no longer than the conventional method since no additional tool paths are added. The proposed method was implemented in Catia and has been validated by simulation and cutting tests with flat end and ball nose cutters on a 3-axis CNC milling machine.

Abstract: Because the process of blade in electrochemical machining(EMC) can be effected by many factors, such as blade shapes, machining electrical field, electrolyte fluid field and anode electrochemical dissolution, different ECM machining parameters maybe result in great affections on blade machining accuracy. Regard some type of aero-engine blade as research object, a great deal of ECM machining parameter combination which probably result in machining failure can be eliminated based on BP neural network firstly. Furthermore, the optimized ECM machining parameter combination has been discovered. To verify the validity of the optimized ECM parameter combination, a serial of machining experiments have been conducted on an industrial scale ECM machine, and the experiment results demonstrates that the optimized ECM parameter combination not only can satisfy the manufacturing requirements of blade fully but has excellent ECM process stability.

Abstract: Because the multi-frame component has thin walls, variable wall thickness and a high reconciliation precision request, the design restrains are many, and the variable is big, the manufacture restrains must be considered in the design stage. In this study, a method called “house-building frame modeling” is introduced firstly, and the finite element model of the milling distortion analysis is established for the multi-frame components by the method, and the prediction analysis of the milling distortion under different milling conditions is carried out, by means of 3-D finite element simulation technology. Comparing the simulation results and the measurement ones of the milling distortion, the proposed model is modified; the modeling method and prediction method are proved to be effective. Software system is developed specially for the modeling and the distortion prediction for multi-frame part. By using of the software, a platform structure with 192 frames is analyzed and its milling distortion is predicted successfully. reference on the purpose of optimizing milling coefficient.

Abstract: A three-dimensional finite element model for die spinning of a cylindrical workpiece is established and a practical spinning process of 5A06 alloy tube is simulated with the model and Marc software. The rotation of the workpiece driven by the die and the passive rotations of spinning wheels due to the friction between the spinning wheels and the workpiece are considered in this model. The distributions of stress and strain of deformation region are analyzed. The phenomena during tube spinning are simulated, such as build-up, shape distortion, diametric reduction and increment. From the simulated results, it is concluded: Consideration of the quality and efficiency of production, spinning speed should not be too large. In this study, the simulation process should not exceed 0.8mm/s the traction speed. Spinning force is direct proportional to the traction speed and inverse proportion to the tip radius. This model reprents the spinning deformation behaviors completely. Simulation results correspond with the experiments very well.

Abstract: A nano zinc borate wasprepared via coordination homogeneous precipitation method using sodium borate (Na2B4O7•10H2O)and zinc borate nitrate (Zn (NO3)2•6H2O). The characterizations of theas-obtained samples were studied by X-ray diffraction(XRD), Field-emissionscanning electron microscopy (FESEM), Fourier transform infrared spectrum(FTIR) and differential thermal analysis (TG–DTA) It had been found that theproducts had excellent inflaming retarding effect for epoxide resin.

Abstract: Timely strategic decision-making is an important guarantee for corporate to remain invincible in the competition. This paper sorts out the current researches of the control of the strategic decision-making, proposes the processing model to control the critical state of the strategic decision making as well as the judging methods, and determines the best timing to apply the chaotic neural network control for the strategic decision making on the basis of constructing the index controlling system, so that the accurate control for the corporate strategic decision making can be achieved.

Abstract: This paper applies the information fusion technology to tool monitoring. As one of the most important processing factor, the cutting tool and the tool wear directly influence size precision. Signals of cutting force and vibration are measured with multi-sensor. By using multi-sensor the drawbacks can be overcome, the multi-sensor information fusion mentioned in manufacture stands for extracting kinds of information from different sensors (especially for cutting force and vibration signal in this paper), making best use of all resources，according to certain criterion to judge the spatial and time redundancy , to make the system more comprehensive. Two data fusion methods, which are BP Neural Network and Wavelet Neural Network for predicting tool wear, and are debated. By the hybrid of BP and wavelet based neural network the cutting tool status inspection system is built so that the forecast of tool wear can be achieved. The results show experimentally two of these presented methods effectively implement tool wear monitoring and predicting.

Abstract: This paper addresses problems of aggregate concrete of construction wastes, which were featured as large water absorption, quick slump loss, as well as easy bleeding and low strength of concrete. A comparative analysis by experiment between recycled aggregate concrete and ordinary concrete was made on aspects of water absorbability, compressive strength, slump loss, bleeding rate, drying shrinkage and economic efficiency. It has found possible to preparing the recycled aggregate concrete of high performance through the prewetting recycled aggregate. It is concluded that construction wastes can be recycled by obtaining the optimum mole of preparing recycled aggregate concrete of construction wastes and evaluating their reliability on cost-lefficiency and mechanic capability，thus, it also recycled the limited resources and solve some environment problems.

Abstract: Big Q system of enterprise is a complex management system, which includes several sub-systems, and it suggests that the concept of “Big Q” should be formed in response to the needs of the growing situation through analyzing evolution in quality concept in this paper. Then, the intension and characteristics of big Q synergetic concept are proposed by analyzing the characteristics of the big Q system. Based on these studies, the relationship between the synergetic model of big Q and environment is explored, and the synergetic mechanism of the Big Q system is dissected by means of mathematical analysis. To be effective, the big quality system must be studied deeply. By applying the theory of self-organizing to study the big quality system, we can generalize features, characteristics and operation rules of the big quality system. So we can manage the big quality system scientifically and effectively to obtain an optimal function of the system.