Applied Mechanics and Materials Vols. 55-57

Abstract: Based on the statistical data during the period from 2000 to 2008 released by Henan Statistical Bureau in China, this paper applied the grey relational analysis to analyze the relationship between industrial structure including primary industry, secondary industry, tertiary industry and economic growth in Henan province in China. After detailed research, some results have been concluded for Henan province, the first of which is the relationship between industrial structure and economic growth during the period from 2000 to 2008 is very close, and the primary industry is the most important causation that brings about economic growth, the second of which is that tertiary industry played lager important significance than secondary industry during the economic growth in Henan province in China. Research results could provide valuable information for policy makers in government in their efforts to make appropriate economic polices.

Abstract: Based on the statistical data released by National Bureau of Statistics of China, over the period 2000-2008, this paper empirically analyzed Chinese technology input structure through investigating the relationship between economic growth and technology input including scientists and technicians and expenditure for R&D using the compensative GM (1,N) model in the grey theory. This paper applies the Principle of Least Square Method to estimate the parameters of the system equation. Research results show that the compensative GM (1,N) model established in this paper has a high precision, and that the contribution of expenditure for R&D is greater than that from scientists and technicians, which could provide valuable information to policy makers in their efforts to make effective technological policies for promoting economic growth.

Abstract: Monitoring design is one of basic problems during the development of manufacturing execution systems. In this paper we study the monitoring problems for the Aircraft assembly system in manufacturing execution system environment according to the computer integrated manufacturing system architecture of the Aircraft Company in China. We show that the problem of designing monitoring system for manual assembly system is reducible to modeling and synthesizing problem of monitoring system based on Object Petri Nets. Next the problem of implementing the monitoring system results in designing of structure and functions of the monitoring system. In particular, an efficient rapid prototype schema for implementation is presented. An application is demonstrated how to deal with object Petri nets based monitoring for the aircraft vertical fin assembling.

Abstract: The product life cycle energy consumption model was established considering the impact of remanufacturing on the product lifecycle, and the energy consumption quantitative method was given. In order to optimize the life of a product, a method to calculate its life cycle critical point was proposed. The energy consumption model was applied to two types of gearboxes, new and remanufactured, to compare their life cycle energy, and the energy-saving design scheme optimization was achieved.

Abstract: In the recent study of network traffic, it is shown that the traffic flow presents both periodic and self-similar characteristics. Due to these two features, the short-term forecast of network traffic cannot be accurately fit in either autoregressive integrated moving average (ARIMA) models which is suitable for linear behavior, or chaotic models which is corresponding to self-similarity characteristic. In this paper, our methodology suggests that by using wavelet multiresolution analysis, we can obtain a joint short-term network traffic prediction method and get a more precise forecast result as compared to using either ARIMA models or chaotic models. We also run simulations to show the improvement of prediction accuracy of our proposed approach.

Abstract: The paper presents a motor bearing fault diagnosis method based on MSICA (Multi-scale Independent Principal Component Analysis) and LSSVM (Least Squares Support Vector Machine). MSICA is introduced into motor fault diagnosis. First, wavelet decomposition is used, and then ICA models are built by wavelet coefficients in each scale, which detect fault, and finally LSSVM is used to classify fault type. Conclusions are obtained from the analysis of the experimental data provided by Case Western Reserve University’s Bearing Data Website. And it indicates that the proposed method is simple and effective.

Abstract: In this paper, the intercalation of methyl-orange (MO) into Mg/Al (ratio=2:1) layered double hydroxide (LDH) was carried out using reconstruction method to obtain MOLDH nanocomposite material. Its chemical composition, crystal structure, appearance and thermal stability were characterized by XRD, FT-IR, TEM, TG-DTA and element analysis. It has been found that the MOLDH still keeps the typical lamellar structure, and the guest MO has been intercalated into the layers of the host LDH. The MOLDH’s disassembly temperature is higher more than 30°C than that of guest molecule MO, so it can be used as a new dye with high thermal stability.

Abstract: Ultrasonic is one of the most common uses of non-destructive evaluation technique. It could detect flaws inside the structure and on the surface such as voids, holes and cracks. In this investigation, a 304 steel block with a small hole inside the structure was fabricated. The radius of the hole was evaluated by the pulse-echo ultrasonic technique. In this work, 2.25MHz, 5MHz and 10MHz of incident waves were employed to detect the radius of the hole inside the structure. The errors of a hole with 2.5 mm radius measured by 5 MHz and 10MHz longitudinal wave were 1.15% and 6.6%, respectively. Experimental results showed that the accuracy of flaw sizing detection by ultrasonic technique depends on the frequency of the incident wave.