Applied Mechanics and Materials Vols. 496-500

Abstract: The double ball bar is widely used because it can quickly, easily and cost-effectively detect and evaluate the accuracy of CNC machine tools. But since the error recognition algorithm based on the double ball bar ignores the quadratic item, its recognition accuracy would be reduced. In this paper, an improved CNC verticality error and position error identification formula, combined with the machine tool error model to deduce a new error recognition model of double ball bar measurement is proposed. It can be drawn that the accuracy of the model are better than the existing methods because it keeps the second item in the derivation process of the model.

Abstract: The traditional fatigue machine using stepping motor as driving device has the disadvantages of low efficiency, low frequency and producing heat terribly. This paper presents the development of a new type fatigue machine using voice coil motor which has the advantage of high frequency, high accuracy and easy to control as driving device in order to make up for these deficiencies of the traditional machine. The maximum frequency of fatigue machine can reach 200Hz, and the maximum stroke will reach 30mm. The machine can test the properties of anti-fatigue crack of metal and non-metallic materials and the fatigue lives of mechanical parts. It also can provide the force curve changing with time under different frequencies when carrying on tensile and compressive test on sample, which can greatly improve the accuracy and stability of measuring system

Abstract: Remote monitoring and fault diagnosis system is an important part of intelligent construction machinery, on the basis of the original remote fault diagnosis system, we will explore and put forward a fleet of intelligent engineering machinery general structure model. Based on this, we will advance the overall design scheme of remote fault diagnosis expert system and solve the problems of engineering machinery remote fault analysis and diagnose the problem

Abstract: Aim at work process complications, high break down incidence rate and break down diagnosis difficulty of current automatic loading control system, this text designed a set of new automatic loading control system which combined the advantage of the Rough Set - Neural Network to diagnose the automatic loading system.The system used LPC2294 as main control chip and additional other function units to complete hardware electric circuit design and software procedure exploit development of automatic loading system.The system made use of VS2008 to design the place of honor machine to show interface and passed the correspondence of a string of completion place of honor machine and control system, this system automatically packed to fill system to provide a new way of thinking at present for improvement.

Abstract: Aiming at the low machining accuracy, low efficiency, cumbersome programming process, strong empirism and great programming difficulty of special shape blades, a new NC spiral milling method of high-quality and high-efficiency is put forward to process aviation blades. Three methods of constructing spiral tool path are studied, i.e., constructing the spiral using interpolation in parametric domain, constructing the spiral based on a driving surface and projection technology, and segmentally constructing the spiral by plane intersection. By comparison and analysis, their advantages and disadvantages are presented. According to the characteristics of spiral milling, the principles and algorithms of interference-free cutter location calculation for space free-form curved surface are introduced and the focus is put on cutter contact point calculation algorithms.

Abstract: Blades are important components of aircraft engines. Free-form surface blade machining generally adopts sub-regional processing and cutting parameters vary greatly. Rational optimization of the cutting parameters can improve blade processing quality and efficiency in aerospace industry. To control the processing deformation of the blades, a method using artificial neural network and genetic algorithm is presented to optimize the cutting parameters. The method can reduce cutting parameter selection time and improve blade processing quality.

Abstract: In order to grasp the whole growth process of breeding cotton and establish the growth records of breeding cotton, the article proposes the design of breeding cotton growth management system based on MMS. The main idea is that field image acquisition terminals capture a live image in breeding cotton plots at a specific time every day, and send the live image to the monitoring center through the GPRS networks, then breeding cotton experts write cotton growth log and propose the next management advice for cotton based on the returned live image. At the same time, all the information will be written to the database in the monitoring center. The application of the system is able to not only save manpower costs, by tracking and analyzing the whole growth process of breeding cotton, but also summarize the successful breeding experience and failures. At the same time, the application of the system promotes cotton breeding and cotton management more scientific. After the actual testing, the system works stable and reliable, and meets the design requirements.

Abstract: Based on analyzing the existing airport surface surveillance technology, aiming at the defects and new demands to meet the increasing and more complex traffic flow at an aerodrome, a visualized expression and interaction system based on GeoTools of airport surface geographic information is put forward, surveillance of aircraft on surface is realized. Practical operation shows that the system is superior to the traditional method used for monitoring all moving targets on maneuvering area with low cost, and enhances visualized expression and interaction of airport geographic information.

Abstract: There is a very significant application today towards multiple zone fracturing operations in a horizontal well of low permeability reservior all over the world. But the number of the ball seat activated sliding sleeves that can be run in a well is limited because of the design and cant meet the need of volume fracturing in low permeability reservoir; Also the sleeves can only be shifted by CT, which extend the length of the operation and add to the overall costs. This paper introduces a kind of sleeve which is controlled by RFID and meet the need of volume fracturing, the number of sleeves that can be run in a well using this technology is essentially unlimited and can be operated remotely^[1-3]. It is eay to operate and no intervention; It is proved by field test that this sleeve is reliable and can meet the field application.

Abstract: We study the problem of optimal control of linear time-varying systems for servo applications and develop a generalized minimum variance controller for a multi-input and multi-output controlled autoregressive moving average model with multiple delays. The controller is applicable to a large class of stochastic linear time-varying systems regardless variation speed in plant parameters.