Applied Mechanics and Materials Vols. 16-19

Abstract: Aim at the problem of tool cutting monitoring system between tool wear estimate by gradual information and judgment of tool failure by sharp signal, this study is to construct an integration measurement. It puts forward density parameter E of outline peak of machined surface image texture to estimate tool wear condition. It researches tool failure judgment with cutting force monitoring. Hence real-time monitoring of cutting process can be implemented to represent cutting-tool wear, failure and rationality of parameter selection in cutting state.

Abstract: A novel differential in-pipe robot, called mechanical adaptive in-pipe robot is presented. The drive unit of the robot consists of driving module characterized by tri-axis differential velocity mechanism, and elastic leg-wheeled in-pipe adaptability module characterized by fully active drive. The drive module, as a result of its automatically modulating every moving wheel rotation speed according to topological constraint by in-pipe, avoids parasite power as a result of moving wheel slippage. The elastic leg-wheeled in-pipe adaptability module is adjustable to inner diameter variation by its radial protraction and shrinkage, and its fully active structure ensures enough tractive force even if several moving wheels impended. Therefore the mechanical adaptive in-pipe robot provides a novel insight to differential-typed in-pipe robots with the mechanical adaptive performance, and is supplementary with its novel configuration and transmission principle.

Abstract: The garbage crusher is a new kind of crusher for garbage crushing when processing Municipal Solid Waste (MSW). With the development of automatic equipment and the complication of structure and properties of the garbage crusher, the fault diagnosis of garbage crusher is very important. In this paper, according to the fault symptoms and parameters, Radial Basis Function Neural Network (RBF NN) is used for fault diagnosis of the garbage crusher. The structure and inference of RBF NN are discussed in detail. The garbage crusher fault diagnosis model is established based on RBF network. At last, the fault of mechanical system is taken as an example of garbage crusher fault diagnosis. Training simulation results of the neural network are given base on MATLAB software. The result shows the RBF NN is suitable for fault diagnosis of garbage crusher.

Abstract: It is easy to make sudden shifting process during automatic shifting due to the driver’s sudden pedal operation. According to the analysis of sudden shifting process, the method of blunting throttle signal is put forward and corresponding control strategy is established. Not only the sudden shifting phenomenon is avoided effectively, but also there is no influence to the normal driving condition.

Abstract: The density of oil mist in this paper is an important factor of oil mist lubrication technology, according to which the effect of lubrication will be known and from which the study on atomization effect will also benefit. In general, the oil mist density of oil mist lubrication system in working condition is 3-12g/ m3 , the median diameter is 1-3 [1], which is difficult to measure with conventional detection methods. The paper takes advantage of optical rotation principle as a measuring method for density of oil mist and achieves a good experimental result.

Abstract: Hanging file stent components (HFSC) of automotive transmission require high reliability, because the assembly quality has direct influence on the whole vehicle performance, especially in the area of security. But it is easy to make mistake in assembling it, and it is hard to detect errors, because the HFSC has many different parts, which have similar shape. This paper analyzes the geometrical features of the hardware of HFSC, and helps to find out those parts needing inspection through researching the possible mistakes. According to the results of the analysis, an automatic inspection system which is controlled by microcontrollers for HFSC quality measurement is designed. This system uses a new sensor designing according to the necessary of detection, and a suitable sensor planning program is presented. After the accomplishment of this system, it is proved flexible and effective through half year of practice.

Abstract: Software reliability is an important attribute of software quality. Based on the concept of software reliability and reliability indicator, this paper presents the analysis techniques of software reliability for the vehicle navigation system, obtains the appropriate forecasting model of vehicle navigation software reliability through tests and calculation, and puts forward suggestions for promoting the vehicle navigation software reliability.

Abstract: In network-based manufacturing, an enterprise alliance has such characteristics as: information, integration, globalization and variation, which put forward new requests for the conventional quality control technology. Exploring the new quality control technology in machining process for enterprise alliances based on process parameter, this paper brings forward a sort of system architecture and implementing plan, which is composed of equipment layer, distributing information disposal layer, network truss layer and decision-making layer. The disposal method of data losing and time delay are also presented.

Abstract: Steel ball, as a rolling body of all kinds of bearings, it direct affects the bearings precision, dynamic performance and service life. This paper introduces the digital image technology Radial Basis Function (RBF)-Neural network, based on extracting the Steel Ball surface defect image features, used the strategy which is combined with static- dynamic clustering to union the two-stage study and design the hidden layer structure. Simulation and experiment show that the RBF-neural network runs stably, has fast convergence and overall accuracy rate of 96%. These can meet the needs of practical application.

Abstract: The automatic measuring system of stone milling force is studied in the article. The columned diamond milling cutters are used to mill stone on NC milling machines. Through analyzing the milling force, the mathematic model is established. Combining the measuring force index, the experimental facility of the automatic measuring system is established and solving methods of the key problems on the software data acquisition is detailed. The system is utilized to measure three component force of milling, that is, horizontal force, vertical force and axial force. Reliable data is acquired. Finally the automatic acquisition of data and the drawing of curve are realized. The achievement of automatic measurement of stone milling force provides theory basis for the further research on the wearing characteristics of diamond cutters, cutting quality of stones and the optimizing of processing technological parameter etc.