Applied Mechanics and Materials Vols. 26-28

Abstract: Low-frequency vibration cutting is a new kind of advanced manufacturing process with several features of advantages, compared with conventional cutting operation. Based on the review of the history of low-frequency vibration cutting, its special technological effects and applications were discussed, and presented in detail the research progress in mechanism and experiment study on low-frequency vibration cutting. Three primary problems, lack of unified awareness of mechanism, establishment of a unified standard for the choice of certain parameters, application level, still in expertise for low-frequency vibration cutting were explored and the development tendency as well as the prospect of low-frequency vibration cutting in future was foreseen.

Abstract: In the noise reduction algorithm based on manifold learning, phase space data may be distorted and reduction targets are chosen at random, it made efficiency and effect of noise reduction lower.To solve this problem, a improved noise reducation method (local tangent space mean reconstruction) was proposed.The process of global array by affine transformation will be replaced with mean reconstruction,and the intrinsic dimension was estimate as dimension of reduction targets by using maximum likehood estimation method, the data in addition to intrinsic dimension space will be eliminated.Noise reduction experiment to fan vibration signal with noise shows this method had better noise reduction effect.

Abstract: Job shop scheduling problem (JSP) plays a significant role for production management and combinatorial optimization. An improved artificial bee colony (IABC) algorithm with mutation operation is presented to solve JSP in this paper. The results for some benchmark problems reveal that IABC is effective and efficient compared to those of other approaches. IABC seems to be a powerful tool for optimizing job shop scheduling problem.

Abstract: The performance of corporate social responsibility is increasingly becoming the focus of people’s attention. So we have to strengthen the appraisal and supervision of corporate social responsibility to those enterprises who have a significant impact on people's livelihood. In this paper, we chose 10 bus listed companies who have a full disclosure of financial information as samples, selected 260 data, made factor analysis using SPSS software and build a model of corporate social responsibility appraisal, finally made scientific analysis and appraisal to various parts of enterprise’s production and management. This can help enterprises enhance competitiveness and promote innovation according to the comprehensive performance of corporate social responsibility, as well as to help stakeholders make economic decisions.

Abstract: To understand the influence of external factors on powder flow process from the hopper, and to get the prerequisite to control the flow rate, by doing a lot of experiments. In this paper, the size distribution regulation was acquired by SCIROCCO 2000 (dry method) laser granulometry, and then the affection on flow rate from many external factors were separate considerations. As resluts, when the semi-vertical angle was smaller, the flow type was whole flow; the relation between way dimension of feed opening and flow is nonlinearity; the rate between hopper weight and way dimension of feed opening could affect the flow when it was smaller than 5; the flow was stable when the ratio between the powder depth and way dimension of feed opening is bigger than 1.5. At the same time, it would be one effective indirect measurement method by measuring the way dimension of feed opening under special condition.

Abstract: The objective of this study was to research a newly progressive die , which unifies the merit of high efficiency of the progressive dies and the high material-using ratio of the project dies. This paper analyzes the forming process methods of IHS(Intel Heat Spreader), and develop a set of progressive die with transfer unit , which turns project die to progressive die. The cooperation between the transfer unit and the die was studied, and the key technology of the newly progressive dies were investigated. Compared with the traditional die, the mechanization and electrization are realized to increase the production efficiency and get highly precise IHS. The newly designed transfer unit is expected to be a helpful reference for designers facing demands for higher quality, lower cost and shorter delivery time for some special products.

Abstract: Wear particle and vibration analysis are the two main condition monitoring techniques for machinery maintenance and fault diagnosis in industry. Due to the complex nature of machinery, these two techniques can only diagnose about 30% to 40% of faults when used independently. Therefore, it is critical to integrate vibration analysis and wear particle analysis to provide a more effective maintenance program. This paper presents a new fault diagnosis approach of rolling bearings via the combination of vibration analysis and wear particle analysis. Both the tribological and vibrant information of the rolling bearings with typical faults were collected by an experimental test rig. Wear particle analysis was applied to the oil samples to obtain the wear particle number and size distribution, the particle texture and the chemical compositions, etc. Vibration analysis was used to get the time and frequency characteristics of the vibration data. Then, an intelligent data fusion method based on the genetic algorithm based fuzzy neural network was employed to identify the rolling bearing conditions. The analysis results suggest that the proposed method is more feasible and effective for the rolling bearing fault diagnosis than separated use of the two techniques with respect to the classification rate, and thus has application importance.

Abstract: Nanometer barium-stroutium titanate immobilized on aluminum oxide (ABST) was prepared by the citric acid sol–gel method and characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM) and Fourier transform infrared spectrophotometry (FTIR). Its Pb2+ and Cd2+ adsorption properties from water were studied. Adsorption and elution were investigated under different conditions. The results showed that the nanometer barium-strontium titanate was immobilized on aluminum oxide firmly, becoming a composite adsorbent. The lead and cadmium ions were quantitatively retained at pH 5-8; their adsorption capacities of ABST were 70.28 mg•g－1 and 8.12 mg•g－1, respectively. The adsorbent of adsorped lead and cadmium ions were regenerated completely by elution with 1 mol•L－1 HNO3. The adsorbent had a promising prospect in analyticl chemistry and water treatment.

Abstract: Due to the intensely increasing competition and rapidly changing demand, Mass Customization(MC) manufacture has been the new trend for modern enterprises to respond quickly to the variational and individual demand in global market. To satisfy the operation of MC manufacture, its supply chain must be effective and flexible enough. Findings of researches and practices have shown that some intelligent activities, such as negotiation, decision and collaboration, have become the “bottleneck” to improve the performance of supply chain. This paper applied the Autonomous Intelligent System(AIS) to deal with the intelligent activities intelligently and automatically, and thereof provided a new method for the Supply Chain Management(SCM) on MC manufacture. First, a new supply chain model based on E-HUB was presented according to the requirements of MC manufacture, and then the structure and operation of AIS were designed to support that SCM. Finally, the development technology of AIS was discussed.

Abstract: In the face of increasing competition and diversified demand, product design must be customer oriented for modern enterprises to satisfy the variationally personalized requirements. Thereof; the exact orientation and comprehensive analysis of target customers have been the key to conduct customer oriented product design. This paper presented a new method for the orientation and analysis of target customers by adaptive clustering analysis. By this method, the distribution of customer clusters and the related characteristics of each custer as well as its included customers can be extracted dynamically and adaptively. Applied by this method, the adaptive recommendation system was illustrated for the design of LCD-TV.This paper applied the Autonomous Intelligent System(AIS) to deal with the intelligent activities intelligently and automatically, and thereof provided a new method for the Supply Chain Management(SCM) on MC manufacture. First, a new supply chain model based on E-HUB was presented according to the requirements of MC manufacture, and then the structure and operation of AIS were designed to support that SCM. Finally, the development technology of AIS was discussed.