Advanced Materials Research Vols. 201-203

Abstract: The in-phase and out-of-phase thermal fatigue of aluminum alloy were experimentally studied. The fatigue life was evaluated analytically by using the elastic-plastic fracture mechanics method (mainly J integral). The results of experiments and calculations showed that the life of out-of-phase fatigue was longer than that of in-phase fatigue within the same strain range. This is the same as the results of other materials such as medium and low carbon steel. On the other hand, the predicted life was consistent with experimental results. This suggests that J integral as a mechanics parameter for characterizing the thermal fatigue strength of aluminum alloy and the calculation method developed here is efficient. A parameter ΔW was proposed from energy aspect to characterize the capacity of crack propagation. The in-phase thermal fatigue life was the same as the out-of-phase thermal fatigue life for identical ΔW values.

Abstract: A short-term load combination forecasting model based on rough set and support vector machine was proposed in this paper, firstly build decision table based on historical data, and data mining the data through attribute reduction algorithms, and then use the results of prediction methods to be the input of the SVM, practical load value to be the output, training according to the algorithm of the SVM. the result shows that the SVM combination forecasting model has a better balance fitting and extrapolation,and its prediction accuracy is better than single prediction model.

Abstract: Microwave low temperature plasma（LTP）which is a physical processing method is used to modify the physical and chemical properties of cashmere fiber, thus improve digital printability. The paper mainly studies the effects of low temperature plasmas modification on the scale structure, the change of chemical component, hydrophilicity, printing properties of cashmere. The results show that low temperature plasmas treatment can make cashmere fiber scale edge blunted but keep in the integrity of scale structure. Hydrophilicity of cashmere fiber is improved as lipid substances exposed to the surface of fiber are damaged and yielding hydrophilic groups. In digital printing process, the k/s values of cashmere pretreated by low temperature plasma are higher than untreated ones because of the micro-etching of low temperature plasmas and yielding hydrophilic groups on cashmere surface. Cashmere fiber modified by low temperature plasmas can be steamed at 90°C for 0.5h. The application research of low temperature plasmas to cashmere fiber modification can improve the quality of cashmere products and reduce water and energy consumption.

Abstract: In order to predict and control the ink penetration depth, The base properties of 5 offset paper were firstly measured, namely, tightness、smoothness and K&N ink absorbency, etc. Then the penetration depth when offset magenta ink of the same volume entered into these papers was tested after printing. It was analyzed on the influences of offset paper and print processes on ink penetration depth. Finally, the relationships between the ink penetration depth under pressure and that under no pressure were studied. The results showed that both the tightness and smoothness of offset papers had impact on ink penetration into the paper internal structure, and the total ink penetration depth was about 1/5~1/3 of the thickness of the offset papers. In addition, the ink penetration depth under pressure was obviously lager than that under no pressure.

Abstract: Neural network black box model for predicting the slope runoff and sediment yield and two empirical equations for calculating the slope runoff and sediment yield were established with the basis of practical field data of slope runoff and sediment amount by artificial simulated rainfall experiments. In additional, particle swarm optimization algorithm is used to inquire the empirical equation’s unknown parameters based on least square method. And results show that, neural network model might represent the nonlinear relationship between runoff, sediment amount and each impact factor excellently. Furthermore, predicted results are satisfactory and its relative error mean is around 10%. Empirical equations are reasonably and reliable, its relative error mean is less than 20%. These two methods provide an operable means for such intricate research of slope runoff and sediment yield predication and calculation.

Abstract: This paper firstly summarizes the morphological characteristics of rice leaf through observation of the rice leaf growth process. And then the mathematical model of the rice leaf growing is established based on experimental data. In this model, the vectorization of rice leaf morphology and growth process is realized by only several explicit biological parameters. The visualization of the rice leaf growth process is realized in computer by technique of computer graphics and the combination of VC++ and OpenGL. The simulation results show that the proposed model can simulate the growth process of the rice leaf very well on the computer easily with less parameter.

Abstract: This paper studied service parts inventory control policy of a large equipment manufacturer which is on the transformation to service-embedded manufacturing. In order to get win-win solution for both supplier and client, a new cooperation pattern of service parts management was proposed. And a service parts model of multi-echelon inventory system in the after-sale service market was build based on the analysis of service parts demand under servitizaion. Based on this model, many issues of service parts inventory management were studied. Finally the inventory control parameters were exploited which aims at the maximum profit of service parts inventory. With this method, the reduced inventory of suppliers and improved service level could be calculated quantitatively, which could work as a reference to set price of extensional services. Experiments showed the method proposed in this paper is valid for service-embedded manufacturing firms.

Abstract: The fermentation process of pear vinegar was optimized to maximize the amount of acetate in this study. A central composite design of response surface methodology involving inoculation rate, temperature, time was used, and second-order model for the amount of acetate was employed to generate the response surface. The optimum condition for the fermentation process was determined as follows: inoculation rate 8.65 %, temperature 30.17 °C, time 7.44 d. The obtained amount of acetate at the optimum condition was 9.53%.

Abstract: Clustering combination has recently become a hotspot in machine learning, while its critical problem lies on how to combine multiple clusterings to yield a final superior result. In this paper, a low dimensional embedding method is proposed. It first obtains the low dimensional embeddings of hyperedges by performing spectral clustering algorithms and then obtains the low dimensional embeddings of objects indirectly by composition of mappings and finally performs K-means algorithm to cluster the objects according to their coordinates in the low dimensional space. Experimentally the proposed method is shown to perform well.

Abstract: This paper addresses on quality improvement of expanded food. The five stages of six sigma implementation process are applied to define the problem and set a target for improvement. Then possible causes to the quality problems in expanded food are investigated, and the capabilities of the measuring system are evaluated and improved. Based on the results, the experiment scheme is conducted to find and optimize the key factors. Improvement result shows that sigma level of production process increased to 4.6, which is beyond the expectation and can save the cost.