Volume 40,Issue 3,2017 Table of Contents

1 Error propagation model and calculating method of effective transfer path for meta-action assembly unit

LIU Ying , SUN Yunyan , ZHANG Genbao , RAN Yan

2017, 40(3):1-11. DOI: 10.11835/j.issn.1000-582X.2017.03.001

[Abstract](1237) [HTML](687) [PDF 4.25 M](1182)

Abstract:
Based on the structure decomposition of machine tools as function-movement-action, the deviation source that affects precision of meta-action assembly unit was clustered into four types: form error, position error, assembly position error and kinematic error. In order to express the relationship of coupling and nesting vividly, error linkage model was introduced as the basic unit of meta-action assembly unit error relationship to construct structured error relationship model of linkage network and linkage matrix. An assembly error transfer path search method based on error linkage model was proposed, searching all possible paths by mouse maze algorithm, and the effective transfer paths of error component were obtained on the identifying basis of the highest assembly accuracy. Worm axis parallelism error of worm drive meta-action assembly unit was taken as the target to verify the method and the results show that this method is capable of searching all error transfer path efficiently and getting effective path rapidly. This method provides theoretical basis for quality prediction and control of machine assembly.

2 Transmission error analysis and vibration noise prediction of wind power gearbox

LIU Wen , LIU Jun , LIN Tengjiao , LYU Hesheng

2017, 40(3):12-23. DOI: 10.11835/j.issn.1000-582X.2017.03.002

[Abstract](1160) [HTML](371) [PDF 4.18 M](1604)

Abstract:
A bending-torsion-axial coupled lumped parameter dynamic model of planetary gear and two parallel-axes transmission system with 31 degrees of freedom was established, with considering the factors of time-varying mesh stiffness, mesh damping, and transmission error. First, Runge-Kutta method with variable time step was introduced to solve the dynamic differential equations, and all gear transmission errors were calculated. Then, a wind power gearbox flexible coupling dynamics model with transmission errors was built by using LMS Virtual.Lab, and gearbox bearing reaction forces used as acoustic coupling model boundary conditions were obtained by mode superposition method. Finally, wind power gearbox noise and vibration were predicted by using acoustic finite element method and the results were compared with the test results. Comparison results show that considering the gear dynamic transmission error excitation, the gearbox surface vibration response and radiation noise are in good agreement with the test results.

3 An online matching customized method facing customers' needs

NI Lin , WANG Kaipin , WANG Xu

2017, 40(3):24-33. DOI: 10.11835/j.issn.1000-582X.2017.03.003

[Abstract](866) [HTML](300) [PDF 2.43 M](1162)

Abstract:
Online customized product involves complex processes, including design and production, and hence the quick feedback of the design and its feasibility is important and difficult for implementing online customization. Therefore, a case-based reasoning (CBR) customized method is proposed, which can shorten the time for designing and avoid unnecessary repeated design. Firstly, the weights of demand and engineering design are determined by quality function deployment(QFD) and analytic hierarchy process(AHP). And a more objective, conveniently-handled and easily-distinguished method based on the Gaussian member function is constructed to calculate the matching value. Besides, a machine learning method is constructed on the basis of Beta distribution. Matching threshold can be obtained through machine learning, which changes depending on the market. Secondly, according to customers' diversified sensitivities towards various products, regulatory factors are introduced to adjust the final matching value. By comparing the matching threshold, the design and its feasibility can be acquired. Finally, customized refrigerator is taken as an example to prove the practicability and effectiveness of the method.

4 Reducing the toxicity of c-Src targeting drugs by optimizing amino acid sequences

REN Yanrong , WANG Qiang , LI Xiaobo

2017, 40(3):34-39. DOI: 10.11835/j.issn.1000-582X.2017.03.004

[Abstract](1354) [HTML](365) [PDF 2.83 M](1020)

Abstract:
It is important to avoid promiscuous binding between an anticancer peptide and multiple proteins with SH3 domain, so as to minimize the risks of unpredictable toxic and side effects. In the present study, we applied bioinformatics methods to optimize amino acid sequences, in order to reduce the probability of promiscuous binding. Relevant peptide databases and bioinformatics tools were utilized to summarize the rules of promiscuous binding between peptides and SH3 domains. Based on that, we specifically optimized the amino acid sequences of the peptides. The results suggest that most of the modified amino acid sequences exhibit lower level of binding promiscuity, which significantly improves the overall binding specificity and reduces safety risks (P<0.05). This study provides a reference for designing targeted peptide drugs with high binding specificity and low toxicity.

5 Nitrification intensity in soils and its impact factors of Pengxi WLFZ in Three Gorges Reservoir area during the dry period

FANG Fang , WANG Chunming , FENG Lei , HUANG Junjie , LI Zhe , GUO Jinsong , GAO Hongtao

2017, 40(3):40-49. DOI: 10.11835/j.issn.1000-582X.2017.03.005

[Abstract](1049) [HTML](397) [PDF 2.14 M](1258)

Abstract:
The impacts of land locations, utilization patterns and elevations on soil nitrification intensity in Pengxi water-level-fluctuating zone (WLFZ) during the dry period in the Three Gorges Reservoir area were studied. The results indicate that the nitrification intensity of the WLFZ soil ranges from 0.76 mg/kg·d to 9.76 mg/kg·d, while the intensity averages at (3.76±0.76) mg/kg·d, which is significantly lower than those reported in other domestic researches. The soil nitrification intensity decreases from upstream (Hanfeng lake) to downstream (Huangshi city). In addition, the increase of elevation weakly decreases the nitrification intensity (P >0.05). Moreover, the nitrification intensities of flood lands are 1.82 times of those of cultivated soils (P<0.05). The soil nitrification intensity is significantly positively correlated with the soil pH value(P<0.05) as well as the contents of organic matter and the number of nitrosobacteria (P<0.01). Periodic flooding affects the soil pH and organic matter contents, which leads to the variation of soil nitrification intensity.

6 Construction and Optimization of Local Smart Energy Network Framework for SEEIP Core Enterprise

XUE Chunyang , ZHANG Hualing , SHEN Yingchen

2017, 40(3):50-58. DOI: 10.11835/j.issn.1000-582X.2017.03.006

[Abstract](1014) [HTML](436) [PDF 2.61 M](1074)

Abstract:
The energy allocation of the core enterprise in smart energy efficiency industrial park (SEEIP) plays an important role in the energy saving and consumption reduction of the circular economy of industrial clusters. A local smart energy network framework based on information communication technology (ICT)was proposed to build SEEIP and realize intelligent transform of the core enterprise energy system in the existing industrial parks. And the energy calculation mathematical model for various energy medium with different gradesof energy production module, energy conversion module and energy storage modulewas given. With an objective function considering economic costs and environmental impact, the SEEIP enterprise energy network system configuration was optimized. Moreover, an improved differential evolution algorithm (DE) combined with a database query technique was used to solve the mixed integer nonlinear programming (MINLP) optimization problem. And the optimal configuration scheme of enterprise energy supply system is determined, whichcan meet the demand of users'cold, heat and electricity load.

7 Effects of the spatial variability of saturated permeability on the slope stability

CHEN Zhaohui , HUANG Jinghua , QIN Wentao , YANG Chunlin

2017, 40(3):59-69. DOI: 10.11835/j.issn.1000-582X.2017.03.007

[Abstract](1030) [HTML](356) [PDF 22.60 M](883)

Abstract:
We studied the effects of rainfall pattern, intensity, and duration on the pore-water pressure in the slope and the spatial variability of the saturated permeability on the spatial distribution of pore-water pressure, water content, shear strength parameters and local factor of safety under rainfall. The results show that the rainfall characteristics have significant effects on the pore-water pressure for a given slope. Affected by the main direction of flow, the effect of the horizontal fluctuation scale of saturated permeability on the variation of the pore-water pressure and the water content is greater than that of the vertical fluctuation scale. The critical slip surface of the rainfall-induced landslide is almost parallel to the slope and the depth of the landslide is small. As the increase of the horizontal fluctuation scale, the depth of the landslide increases. Generally speaking, local factor of safety decreases as the vertical fluctuation scale increases.

8 Analysis on the internal cracking of concrete cover caused by rebar non-uniform corrosion

WANG Ben , WANG Hong , ZHANG Zhiqiang , ZHOU Mengjiao

2017, 40(3):70-75. DOI: 10.11835/j.issn.1000-582X.2017.03.008

[Abstract](938) [HTML](308) [PDF 2.26 M](1134)

Abstract:
According to the corrosion development of rebar that occurred before concrete cover cracking under natural conditions, the corrosion layer was simplified as a non-uniform distribution with semi-elliptical shape to model the non-uniform corrosion of rebar. Formulas were obtained to calculate the corrosion expansion stress of the concrete cover by using theoretical analysis, and its accuracy was verified by compared with finite element results. According to the theoretical solution, the maximum circumferential stress is on the horizontal axis, so the development of the corrosion layer can induce the horizontal internal crack inside the cover. Increasing rebar diameter can effectively decrease the corrosion-expansion stress and improve the ability of anti-rust crack of reinforced concrete structure. Calculated results indicate that the critical thickness of corrosion layer in the uniform corrosion model is far less than that in the non-uniform corrosion model and the result of uniform corrosion model is conservative. Therefore, the non-uniform corrosion model is validated to be much closer to the truth to analysis the corrosion problems.

9 Temperature prediction model in industrial microwave heating based on cuckoo search algorithm optimizing neural network

XU Lei , ZHAO Youjin

2017, 40(3):76-87. DOI: 10.11835/j.issn.1000-582X.2017.03.009

[Abstract](1031) [HTML](734) [PDF 7.83 M](1037)

Abstract:
Microwave heating, an alternative heating method, can directly interact with objects to be heated. This method will dramatically improve energy utilization rate, which is clean, energy-saving and emission reduction. According to the nonlinear change of temperature when industrial material is used as microwave heating load, regarding the dimensional and mass parameters in microwave industrial heating processes as research objects, and also based on the functional-linked neural network to extract the deep features of sample data, a cuckoo search algorithm is proposed to optimize the parameters of BP neural network, thus establishing the industrial microwave heating temperature prediction model based on the "data driven" method. Simulation results show the accuracy and instantaneity of the temperature prediction model proposed in this paper.

10 Multiple neighborhood preserving embedding algorithm for face recognition

LIU Jiamin , YUAN Jiacheng , PENG Ling , LIU Yizhe , LUO Fulin

2017, 40(3):88-94. DOI: 10.11835/j.issn.1000-582X.2017.03.010

[Abstract](1149) [HTML](468) [PDF 2.59 M](1099)

Abstract:
Traditional manifold learning methods assume that face data may reside on one single manifold, but data from different classes may reside on different manifolds of possible different intrinsic dimensions, thus the assumption of single manifold may affect the learning of the actual distribution relationship of the image data in the high dimensional space. In this paper, a multiple manifold learning algorithm based on multiple neighborhood preserving embedding(M-NPE) was proposed to find a low-dimensional embedding for data lying on multiple manifolds. First, the manifolds of different classes were learned by NPE for each class separately, and the low dimensionality coordinates and mapping matrix of the data was obtained. The genetic algorithm (GA) was then employed to obtain the nearly optimal dimensionality of each face manifold from the classification viewpoint. Classification was performed under a criterion that is based on the minimum reconstruction error on manifolds. The experimental results on both Extended Yale B and CMU PIE large-scale face database verified the effectiveness of the algorithm.

11 Two-echelon vehicle path optimization based on Memetic algorithm

CHEN Liwei , TANG Quanhua

2017, 40(3):95-104. DOI: 10.11835/j.issn.1000-582X.2017.03.011

[Abstract](968) [HTML](384) [PDF 2.69 M](979)

Abstract:
Aiming at the problem of low accuracy and long convergence time of traditional method in solving the two-echelon vehicle routing problem, we proposed a kind of Memetic algorithm based on Q learning theory and differential evolution. Firstly, the two-echelon vehicle routing problem was studied, and the optimum partition method was used to obtain the reasonable distribution plan for SDVRP(split delivery vehidle fouting problem) in first stage, and then the total mileage and delivery vehicles were determined for both the two stages. Secondly, according to the distribution scheme of the second level of MDVRP(multi-depot vehivle fouting problem), the Memetic algorithm was designed with Q learning theory and differential evolution algorithm, which was used to achieve the global optimization of MDVRP distribution scheme. Finally, through simulation verified the effectiveness of the proposed algorithm.

12 The model of dynamic trust relationshipfrom the perspective of risk

LI Qiang , WANG Yuanyuan , NIU Wensheng

2017, 40(3):105-114. DOI: 10.11835/j.issn.1000-582X.2017.03.012

[Abstract](1021) [HTML](1002) [PDF 1.55 M](1202)

Abstract:
Grasping the risk issues correctly is the key to ensure the scientificity of trust decision-making. Aiming at the insufficient understanding and research of the nature relationship between trust and risk in the present research on dynamic trust relationships, this paper proposes the theoretical model and the decision-making model of trust relationship from the perspective of risk, analyzes in detail and gives out the nature relationships between trust and risk, trust decision-making and risk decision-making. Trust is deemed to another expression of risk. Trust decision-making is risk decision-making. The scientificity of security decision-making is enhanced and the security decision-making becomes more rational, more comprehensive and more objective by the analysis of security decision-making process of trust, risk and credible decision-making.

Home

Volume 40,Issue 3,2017 Table of Contents

Current Issue

Volume

Issue

Most Read

Most Cited

Most Downloaded