Advanced Materials Research Vols. 308-310

Abstract: The leaf blade manufacture precision's influencing factors are numerous, and they have coupling relationship each other. So it is difficult to peel out a single factor on the influencing regularity of the blade's machining accuracy. By researching the engine blades of helical milling state under the existing fixture, the leaf blade deformable model based on the instantaneous milling strength was established. Meanwhile, the off-line multi-level error compensation plan was proposed based on the processing surface static error forecasts and compensation. In order to revise the primitive NC tool path code and eliminate the processing distortion inaccuracy, the elastic deformity on each knife position spot is solved on the basis of iterative solution, using the finite element simulation and milling strength model. By using ANSYS finite element simulation, it receives the real-time error compensation of the tool path. And then The experiment has proven the accuracy and the usability of the compensation plan.

Abstract: The energy consumption of per unit area in public building are larger than the residential building in China, and the energy-saving reconstruction for existing public building is less than the residential building at present, so it also have great potential and space of energy conservation. This paper based on the feature of climate and energy consumption of existing public building, formulated the evaluation principle of energy-saving reconstruction technology, put forward from economy, energy-saving effectiveness, advance and combination property of technology to determine the design method to energy-saving reconstruction, to select appropriate technology. At last, this paper through a case building---a teaching building in Xi'an to analysis how from specific problems to apply appropriate technologies in northern area.

Abstract: Cutting force is an important parameter in machining. The static balance method and experience formulas had been adopted to find its value, but the theoretical calculated value is not good agreement with the experimental value for the same set of cutting conditions. In practical machining, the cutting tool has obvious impact effect on workpiece, so a dynamics analytical model for cutting process is established in this paper. Based on the proposed solution, a new formula for cutting force has been obtained. The suggested formula has shown to correspond well with the experimental data.

Abstract: Aiming at the problem of low recognition rate and easy affected by environment during the process of robot target recognition in complex environments, the target recognition method combining support vector machine (SVM) with D-S evidence theory was proposed. Taking citrus recognition as an example, SVM was used by the method to local classification according to citrus color and geometry feature information respectively, and the results of SVM were transformed to probability outputs through Platt model, and treated them as the basic probability assignment (BPA) of D-S evidence theory to reason and fuse local recognition results, and then realized the combination of SVM and D-S evidence theory in citrus recognition, finally improved the recognition rate. The experimental results showed that: the recognition rate of the method combining SVM with D-S evidence theory and integrating color features and geometry features was higher than SVM method with only color or geometry features.

Abstract: In order to minimize the fuel consumption, the topology optimization and sizing optimization are applied in the light-weight design of frame for energy-saving vehicle. The investigation consists of two stages. In the first stage, the static analysis and topology optimization were carried on the original frame to obtain the optimal layout. Then the sizing optimization was explored to find the feasible section dimension of beam. The simulation results revealed that the stress concentration and excessive local deformation of vehicle frame structure have been remarkably improved, meanwhile, the frame’s weight has been decreased more than 15.0%. It is concluded that the optimization method is effective to obtain the optimal light-weight design for vehicle frame.

Abstract: The study of tritium permeation barrier (TPB) coating is one of the most important subjects in the development of liquid lithium blankets in International Thermonuclear Experiment Reactor (ITER). Radiation-shielding property is one of the most important assessment indicators of TPB coating materials. Radiation damage experiment is difficult to perform, so with the Monte Carlo code TRIM(Transport of Ions in Matter), simulations of proton irradiation have been done for three kinds of candidate materials-Al2O3, Er2O3, Y2O3.This study focuses on the energy transfer, energy loss, and vacancies of the protons, as well as the stopping power of coating materials. According to the calculation results, Al2O3 has the strongest resistance against tritium permeation while more vacancies are produced after proton radiation.

Abstract: The aluminum alloy honeycomb structure used in the structural design of high-speed machine tool table to reduce the worktable’s quality, so that the inertial force generated from fast-moving reduced too. The new worktable and the original one both carried out static analysis and modal analysis by ANSYS Workbench respectively. From the result’s comparison, we can know that the new structure worktable’s static and dynamic performance are both better than the original one. The machine tool table’s machining accuracy has been raised.

Abstract: This paper presents a robust neural network control scheme for robot manipulator. The robust controller is employed to eliminate the effect of the uncertainties, and a neural network is utilized to learn the unknown uncertain upper bound, which improves the performance. The experiments have been implemented and demonstrate the validation of the proposed method.

Abstract: Considering the problem of optimal acceleration control of aircraft engine, the subsection optimal acceleration control method using fuzzy switching based on a cloud model is proposed. The acceleration process is divided into three phases, optimal objective functions and constraints are different in each phase. The optimal acceleration control law is obtained using the SQP algorithm with adjusted objective functions and constraints to improve the ability of engine acceleration. Considering the significant jump of control parameters and the exceeding limit of aircraft engine state parameters problem during the shift of different phase on the acceleration process, the method of fuzzy switching controller based on a cloud model is designed. Compared with the normal SQP acceleration control law and the subsection one based on direct switching, the simulation results show that the proposed method not only is the most effective control law but also can ensure the aircraft engine stable.

Abstract: The slicer control system designed for production plants to manufacture flap disks was investigated using programmable logic controller (PLC) and servo. This system has been mainly developed to achieve the automatic flaps’ cutting and setting. It is implemented by a PLC, a human-machine interface(HMI), a positioning module, and senors, as well as servo amplifiers and motors. In the present work, the effect of response time on multi-axis synchronization has been studied. It was shown that the use of parameter adjustment allows the obtainment of reliable operating characteristic and permits one to enormously improve the accuracy of feeding length and rotation angle. The control system has been provided for industrial applications.