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学者姓名：李西兵
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Investigating the infiltration mechanism of molten metal in ceramic particle porous preforms provides critical theoretical guidance for optimizing the casting infiltration process and improving the quality of castings. In this study, the microstructural model of the zirconia-toughened alumina ceramic porous preform was precisely reconstructed using high-resolution X-ray computed tomography. Based on the lattice Boltzmann method, the infiltration process of the high-chromium cast iron molten metal in the porous preform of ceramic particles was simulated at the pore scale. The effects of molten metal viscosity (0.00175-17.5 Pas), injection velocity (0.005-0.1 m/s), surface tension (0.072-5 N/m), contact angle (20-80 degrees), and preform placement positions on the infiltration behavior of the molten metal in the preform were investigated. The results indicate that increased molten metal viscosity enhances flow front stability by mitigating pore heterogeneity effects, thereby achieving higher steady-state saturation. However, it also increases flow resistance, which reduces steady-state saturation when the driving pressure is insufficient. Increasing the injection velocity or reducing the surface tension significantly improves steady-state saturation. The steady-state saturation distribution diagram of capillary number (Ca) and viscosity ratio (M) yields the empirical relation defining the boundary between high and low saturation regions: LogCa(c) - 0.93LogM = -6.79. Moreover, reducing the contact angle of the preform wall significantly enhances steady-state saturation. Furthermore, positioning the preform in the top or middle regions of the cavity improves steady-state saturation under low injection velocities.
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| GB/T 7714 | Li, Xibing , Xue, Wenqiang , Yin, Cuicui et al. Numerical simulation of the infiltration behavior of molten metal in a ceramic porous preform [J]. | PHYSICS OF FLUIDS , 2025 , 37 (3) . |
| MLA | Li, Xibing et al. "Numerical simulation of the infiltration behavior of molten metal in a ceramic porous preform" . | PHYSICS OF FLUIDS 37 . 3 (2025) . |
| APA | Li, Xibing , Xue, Wenqiang , Yin, Cuicui , Wang, Juan , Zheng, Kaihong , Xiong, Yongnan et al. Numerical simulation of the infiltration behavior of molten metal in a ceramic porous preform . | PHYSICS OF FLUIDS , 2025 , 37 (3) . |
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To address the issues of manual inspection and low precision in the detection and recognition of defects in existing animal leather, this study first establishes a leather image dataset and applies an improved Gabor filtering algorithm for image preprocessing. Specifically, the weighted average method is adopted to grayscale the image, and the algorithm parameters are designed and improved to ensure that most of the key texture information of the leather images is obtained, meeting the requirements for texture feature information in subsequent feature extraction. Next, it explores statistical feature extraction algorithms based on the gray-level co-occurrence matrix and the statistical feature extraction algorithm based on gray-level distribution, forming a combination of features for the dataset. The leather defects mainly include warble fly holes, neck wrinkles, and scars. In the processing process, there are also defects such as scratches, holes, and stains. Finally, a leather defect image classification model is proposed based on a multilayer perceptron algorithm, using the ReLU activation function and a SoftMax classifier to classify surface defects in 1280 samples. The classification time is 0.0854 s, and the average precision, recall, and accuracy for leather defect image classification are all 99.53%. This solution innovatively integrates the improved Gabor filtering with the adaptive multilayer perceptron architecture to construct a multi-modal leather defect classification model, which significantly improves the detection accuracy of three types of defects, namely holes, scratches, and stains. It provides a theoretical reference for the automation of the leather processing process.
Keyword ：
defect detection and recognition defect detection and recognition improved Gabor filter algorithm improved Gabor filter algorithm leather leather multilayer perceptron algorithm multilayer perceptron algorithm
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| GB/T 7714 | Liu, Lin , Li, Xizhao , Wang, Ruiyu et al. Research on Leather Defect Detection and Recognition Algorithm Based on Improved Multilayer Perceptron [J]. | PROCESSES , 2025 , 13 (5) . |
| MLA | Liu, Lin et al. "Research on Leather Defect Detection and Recognition Algorithm Based on Improved Multilayer Perceptron" . | PROCESSES 13 . 5 (2025) . |
| APA | Liu, Lin , Li, Xizhao , Wang, Ruiyu , Li, Xingke , Zheng, Liwang , Lan, Lihua et al. Research on Leather Defect Detection and Recognition Algorithm Based on Improved Multilayer Perceptron . | PROCESSES , 2025 , 13 (5) . |
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The temperature dependent microstructure evolution of IF steel during large plastic deformation has been investigated using a combination of experiments and numerical simulations. The temperature dependent crystal plasticity (CP) finite element model based on a dislocation density is established. The physical and fitting parameters of the CP model are calibrated by comparing the uniaxial tensile stress-strain curves between numerical simulation and related experiment at room temperature, 200°C, 400°C and 600°C. The simulation and experimental results implied that a γ-fiber and cube texture have already formed after 40% thickness reduction and the specific texture remains constant with increasing the thickness reduction, accompanied by a gradual enhancement in strength. Macroscopic shear bands with a river-like pattern and a highly localized shear band within the grain are observed during the large deformation process at various temperature. The evolution of deformation texture and localized shear bands are independent with deformation temperature. The consistency observed between the experimental findings and simulations, across both macro and micro levels, validates the precision and utility of the CP method in forecasting the temperature-sensitive deformation characteristics and texture development within IF steel. © 2025, The Authors. All rights reserved.
Keyword ：
Dislocations (crystals) Dislocations (crystals) Plasticity Plasticity Shear bands Shear bands Shear flow Shear flow Tensile strain Tensile strain
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| GB/T 7714 | Zhang, Chengzhou , He, Jiazhen , Luo, Zhichao et al. Temperature Dependent Microstructure Evolution of IF Steel During Large Deformation: Experiment and Simulation [J]. | SSRN , 2025 . |
| MLA | Zhang, Chengzhou et al. "Temperature Dependent Microstructure Evolution of IF Steel During Large Deformation: Experiment and Simulation" . | SSRN (2025) . |
| APA | Zhang, Chengzhou , He, Jiazhen , Luo, Zhichao , Wang, Juan , Yin, Fuxing , Li, Xibing . Temperature Dependent Microstructure Evolution of IF Steel During Large Deformation: Experiment and Simulation . | SSRN , 2025 . |
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Understanding the mechanisms behind the evolution of microstructure and residual stress during heat treatment is crucial for improving the properties of metal matrix composites (MMCs). This study employs the molecular dynamics (MD) method to conduct six distinct cyclic heat treatments on SiCp/Al composites. The synergistic mechanisms of local residual stresses and microscopic defects during different heat treatments were explored. We found that all heat treatments successfully alleviate residual stresses in the first few cycles, with the gradual cooling strategy being the most effective after the second cycle. The dimensions of SiCp/Al composites consistently reduce after each cycle with high-temperature treatment, however in the later cycles stress accumulation and microstructural transformation occur. In the cycles with cryogenic (liquid nitrogen temperature) treatment, a localized stress concentration occurs after a certain number of cycles and leads to periodic dislocation avalanches, as well as a dramatic increase in the dimension. After cyclic heat treatment, both the number and size of stacking faults increase, the dislocation type may undergo a transformation. The study provides atomistic insights into understanding the thermal stress and microstructural evolution in SiCp/Al during heat treatment.
Keyword ：
Heat treatment Heat treatment Microdefects Microdefects Molecular dynamics Molecular dynamics Residual stress Residual stress SiCp/Al SiCp/Al
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| GB/T 7714 | Shi, Yu , Xiong, Yongnan , Zhang, Qiang et al. Molecular dynamics study of the effect of heat treatment on residual stress and microdefect in SiCp/Al [J]. | MATERIALS TODAY COMMUNICATIONS , 2025 , 45 . |
| MLA | Shi, Yu et al. "Molecular dynamics study of the effect of heat treatment on residual stress and microdefect in SiCp/Al" . | MATERIALS TODAY COMMUNICATIONS 45 (2025) . |
| APA | Shi, Yu , Xiong, Yongnan , Zhang, Qiang , Li, Xibing , Yin, Cuicui , He, Jiazhen et al. Molecular dynamics study of the effect of heat treatment on residual stress and microdefect in SiCp/Al . | MATERIALS TODAY COMMUNICATIONS , 2025 , 45 . |
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Rice, as a hydrophobic plant, exhibits minimal adhesion of pesticide droplets on its foliage, posing a significant challenge in reducing droplet runoff and minimizing pesticide usage during chemical application in paddy fields. To reveal the droplet impaction mechanism on rice foliage, a computational fluid dynamics (CFD) model of droplet behavior prediction was established via the volume of fluid (VOF) method. The predictive model numerically computed the process of a single droplet impacting the horizontal rice leaf surface, and simulated the impact behavior of gas-liquid two phases on the solid surface. By exploring the dynamic collision behavior law of droplets on the target blade, the collision outcomes (adhesion, bound and shatter) of droplets on the target leaf surfaces were predicted. Simulation results showed that the droplet size and impact velocity were the main factors affecting the impact outcomes. Additionally, smaller and lower velocity droplets are more prone to retention on the target. Droplets with diameter of 100, 200, and 300 mu m adhered with the impact velocity of 1.0, 0.7, and 0.5 m/s, and bounced within the impact velocity range of 1.1-6.9, 0.7-4.5, and 0.5-3.5 m/s, respectively. The critical Kcrit value of droplet breaking was 42.81. Subsequently, a logistic regression model was established due to critical parameters of CFD simulations. To validate the model, high-speed photography was used to track the collision behavior of droplets on rice leaves. Droplet impact test demonstrated a good agreement between predicted simulation and experimental results, proving the authenticity of using the CFD model to simulate motion of droplets impacting on the rice foliage. This is of practical significance for guiding chemical application in paddy fields.
Keyword ：
Computational fluid dynamics Computational fluid dynamics Droplet adhesion Droplet adhesion Droplet impaction Droplet impaction Pesticide application Pesticide application Rice foliage Rice foliage
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| GB/T 7714 | Xu, Tao , Li, Xue , Lu, Daipeng et al. Estimating the dynamic impact behavior of spray droplets on rice foliage [J]. | CROP PROTECTION , 2025 , 197 . |
| MLA | Xu, Tao et al. "Estimating the dynamic impact behavior of spray droplets on rice foliage" . | CROP PROTECTION 197 (2025) . |
| APA | Xu, Tao , Li, Xue , Lu, Daipeng , Liu, Yihao , Li, Xibing , Wang, Shilin . Estimating the dynamic impact behavior of spray droplets on rice foliage . | CROP PROTECTION , 2025 , 197 . |
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采用Moldflow软件对食品保鲜盒盖的注塑成型过程进行模拟分析，目的是通过优化注塑工艺参数，最大限度地减小产品的体积收缩率，从而提高产品质量。采用筛选试验设计的方法，确定对注塑成型过程影响较显著的参数。然后，构建多个近似模型，并对这些模型进行细致的比较分析，筛选出性能最佳的模型。最后，利用灰狼优化算法对最优模型进行参数优化，得到最优注塑工艺参数组合，并进行模拟验证和实际验证。结果表明，采用优化后的注塑工艺参数组合制备的产品的体积收缩率显著减小，由初始的5.837%下降至4.01%,下降了31.3%,证明了结合计算机模拟、更优的模型和智能优化算法在注塑工艺优化中具有有效性及较好的应用潜力。
Keyword ：
中心复合试验 中心复合试验 最优拉丁超立方抽样 最优拉丁超立方抽样 注塑工艺参数 注塑工艺参数 灰狼优化算法 灰狼优化算法 筛选试验设计 筛选试验设计
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| GB/T 7714 | 林峰 , 孙永华 , 李国琳 et al. 基于优选模型和灰狼算法的注塑工艺参数优化 [J]. | 塑料 , 2025 , 54 (01) : 100-107 . |
| MLA | 林峰 et al. "基于优选模型和灰狼算法的注塑工艺参数优化" . | 塑料 54 . 01 (2025) : 100-107 . |
| APA | 林峰 , 孙永华 , 李国琳 , 李西兵 , 连灿鑫 . 基于优选模型和灰狼算法的注塑工艺参数优化 . | 塑料 , 2025 , 54 (01) , 100-107 . |
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With the advancement of intelligent technology and the rise in labor costs, manual identification and cutting of 3D cotton cup indentations can no longer meet modern demands. The increasing variety and shape of 3D cotton cups due to personalized requirements make the use of fixed molds for cutting inefficient, leading to a large number of molds and high costs. Therefore, this paper proposes a UNet-based indentation segmentation algorithm to automatically extract 3D cotton cup indentation data. By incorporating the VGG16 network and Leaky-ReLU activation function into the UNet model, the method improves the model's generalization capability, convergence speed, detection speed, and reduces the risk of overfitting. Additionally, attention mechanisms and an Atrous Spatial Pyramid Pooling (ASPP) module are introduced to enhance feature extraction, improving the network's spatial feature extraction ability. Experiments conducted on a self-made 3D cotton cup dataset demonstrate a precision of 99.53%, a recall of 99.69%, a mIoU of 99.18%, and an mPA of 99.73%, meeting practical application requirements. The extracted 3D cotton cup indentation contour data is automatically input into an intelligent CNC cutting machine to cut 3D cotton cup. The cutting results of 400 data points show an 0.20 mm +/- 0.42 mm error, meeting the cutting accuracy requirements for flexible material 3D cotton cups. This study may serve as a reference for machine vision, image segmentation, improvements to deep learning architectures, and automated cutting machinery for flexible materials such as fabrics.
Keyword ：
3D cotton cup 3D cotton cup Atrous Spatial Pyramid Pooling Atrous Spatial Pyramid Pooling indentation contour indentation contour intelligent cutting intelligent cutting UNet model UNet model
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| GB/T 7714 | Liu, Lin , Li, Xizhao , Lv, Hongze et al. Improved UNet-Based Detection of 3D Cotton Cup Indentations and Analysis of Automatic Cutting Accuracy [J]. | PROCESSES , 2025 , 13 (10) . |
| MLA | Liu, Lin et al. "Improved UNet-Based Detection of 3D Cotton Cup Indentations and Analysis of Automatic Cutting Accuracy" . | PROCESSES 13 . 10 (2025) . |
| APA | Liu, Lin , Li, Xizhao , Lv, Hongze , Wang, Jianhuang , Lai, Fucai , Zhao, Fangwei et al. Improved UNet-Based Detection of 3D Cotton Cup Indentations and Analysis of Automatic Cutting Accuracy . | PROCESSES , 2025 , 13 (10) . |
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Direct contact gas-liquid-solid reactor pertains to an extremely high efficiency heat-exchange facility in industrial application. Nevertheless, the scarcity of quantitative analysis data hinders the optimal design of this type of reactor. In the present study, a novel variable bubbles size modeling approach which considers the bubble swarms breakup and coalescence rates, is proposed to evaluate the complex thermal-hydraulics performance of bubble swarms sweeping tube bundles. On the basis of verifying the responsibility of the numerical modelling with published experimental data, the intrinsic link of hydrodynamics and thermodynamics parameters on reactor features, including field characteristics, gas holdup, bubble swarms diameter distribution, gas-liquid interfacial area, temperature difference and heat flux inside different tube bundles regions, are deeply revealed. Results demonstrate that the temperature difference between bubble swarms and tube bundles walls is approximately equal to 2 K. Interestingly, different positions of heat exchanging tubes affect the peak value of circumferential heat transfer coefficient. For typical Tube 1-2, the maximum value of 3146.28 W/m2 & sdot;K appears around 162 degrees. The presence of tube bundles gives rise to the well-distributed iso-surfaces of bubble swarms which contributes to enhance heat transfer. When superficial gas velocities are respectively 0.09 m/s, 0.12 m/s and 0.14 m/s, the average bubble warms diameters are 13.47 mm, 16.22 mm and 17.24 mm. When initial liquid phase height increases from 342 mm to 378 mm, the corresponding gas-liquid interfacial area decreases by 16.2 % in total. Finally, two new modified dimensionless correlations were developed for the prediction of gas holdup and Nusselt number. The prediction errors are respectively 10 % and 6 %. The findings can improve the awareness for promising applications in design and scale-up processes of direct contact gas-liquid-solid reactor.
Keyword ：
Bubble swarms Bubble swarms Direct contact gas-liquid-solid reactor Direct contact gas-liquid-solid reactor Thermal-hydraulics performance Thermal-hydraulics performance Tube bundles Tube bundles Variable bubbles size modeling Variable bubbles size modeling
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| GB/T 7714 | Han, Changliang , Huang, Yiyan , Guo, Weiping et al. Thermal-hydraulics performance evaluation of bubble swarms sweeping tube bundles in a direct contact gas-liquid-solid reactor [J]. | APPLIED THERMAL ENGINEERING , 2024 , 250 . |
| MLA | Han, Changliang et al. "Thermal-hydraulics performance evaluation of bubble swarms sweeping tube bundles in a direct contact gas-liquid-solid reactor" . | APPLIED THERMAL ENGINEERING 250 (2024) . |
| APA | Han, Changliang , Huang, Yiyan , Guo, Weiping , Wu, Yizhong , Chen, Zhipeng , Li, Xibing . Thermal-hydraulics performance evaluation of bubble swarms sweeping tube bundles in a direct contact gas-liquid-solid reactor . | APPLIED THERMAL ENGINEERING , 2024 , 250 . |
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With increased heat control requirements for high-heat-flux products in a narrow heat dissipation space, the ultra-thin micro-heat pipe (MHP) with high heat transfer performance has become an ideal heat dissipation component. In this study, the computational fluid dynamics (CFD) method is used to conduct three-dimensional modeling based on the geometric structure characteristics of an ultra-thin MHP. The capillary pressure of the sintered wick is represented by the modified parameter, and a simple and valuable heat and mass transfer model of the ultra-thin MHP is established by fitting the real experimental data through parameter modification. The flow situation of the working medium inside the ultra-thin MHP is analyzed based on the abovementioned parameters. The results show that when the modified parameter is alpha = 1.5, the temperature equalization requirements of the ultra-thin MHP can be met to the best degree. Moreover, with an increase in heating power, the error value between the surface temperature data of the model and the experimental data of the ultra-thin MHP sample decreases. Under different heating powers, the working medium inside the ultra-thin MHP has the same flow trend. In addition, a 40% increase in temperature difference is found at the junction of the heating section and the adiabatic section, leading to a fluctuation in the temperature gradient on the heat pipe surface. The research results provide a theoretical basis for the model establishment, heat and mass transfer performance investigation, and parameter optimization of ultra-thin MHPs.
Keyword ：
CFD CFD heat and mass transfer performance heat and mass transfer performance numerical simulation numerical simulation UDF UDF ultra-thin micro-heat pipe ultra-thin micro-heat pipe
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| GB/T 7714 | Xiang, Yuming , Sun, Yonghua , Li, Guolin et al. Study on Heat and Mass Transfer Performance of Ultra-Thin Micro-Heat Pipes [J]. | ENERGIES , 2024 , 17 (14) . |
| MLA | Xiang, Yuming et al. "Study on Heat and Mass Transfer Performance of Ultra-Thin Micro-Heat Pipes" . | ENERGIES 17 . 14 (2024) . |
| APA | Xiang, Yuming , Sun, Yonghua , Li, Guolin , Liu, Xiangjuan , Liu, Lin , Zhao, Fangwei et al. Study on Heat and Mass Transfer Performance of Ultra-Thin Micro-Heat Pipes . | ENERGIES , 2024 , 17 (14) . |
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In global agriculture, the challenges facing agricultural production are escalating, especially in the current international situation, which underscores the urgency of addressing food production issues. This study aims to investigate various factors influencing the food production process and yield fluctuations, crucial for developing efficient agricultural planting strategies and adjusting related policies. It combines natural science and social economics perspectives, taking maize production in Qiqihar City, Heilongjiang Province as the research object. Using data from 1995 to 2020, it examines the comprehensive effects of natural climate and agricultural mechanization development level (AMDL) on maize production and constructs an AMDL evaluation system. To predict future agricultural development more accurately, this paper proposes the climate economic prediction model(C-D-AS), incorporating amulti-variable system. To ensure research accuracy and reliability, the TensorFlow 2.4.0 framework was used for multiple linear regression based on the gradient descent method, and prediction results were compared and analyzed. The results indicate that the variation in the effects of climate and AMDL on crop yield is as high as 62.1%, and the correlation between predicted results and real data is 95.3%. This study not only provides robust theoretical support for local agricultural production but also offers the government and farmers a new understanding of the vulnerability and adaptability of the agricultural system, with far-reaching implications for sustainable agricultural development.
Keyword ：
adaptability strategies adaptability strategies maize yield maize yield multivariate analysis multivariate analysis sensitivity analysis sensitivity analysis sustainable agriculture sustainable agriculture
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| GB/T 7714 | Liu, X. J. , Yang, Q. N. , Sun, Y. H. et al. IMPACT OF CLIMATE AND AGRICULTURAL MACHINERY ON CORN YIELD: AN IN-DEPTH ANALYSIS [J]. | APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH , 2024 , 22 (6) : 5361-5381 . |
| MLA | Liu, X. J. et al. "IMPACT OF CLIMATE AND AGRICULTURAL MACHINERY ON CORN YIELD: AN IN-DEPTH ANALYSIS" . | APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH 22 . 6 (2024) : 5361-5381 . |
| APA | Liu, X. J. , Yang, Q. N. , Sun, Y. H. , Li, J. X. , Chen, S. X. , Li, X. B. . IMPACT OF CLIMATE AND AGRICULTURAL MACHINERY ON CORN YIELD: AN IN-DEPTH ANALYSIS . | APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH , 2024 , 22 (6) , 5361-5381 . |
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