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- 저자 : Zhijie He (검색결과 3 건)
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Modeling and Optimization Method of Laser Cladding Based on GA-ACO-RFR and GNSGA-II
Guohua He,Yanbin Du,Qiang Liang,Zhijie Zhou,Linsen Shu 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.5
Laser cladding is an environmentally friendly and reliable surface modification technology. The quality characteristics of the coating are directly affected by the process parameters of laser cladding. The reasonable selection of process parameters is essential to obtain high-quality coating. In this study, the single-track 15-5PH alloy coating was fabricated on the surface of 12Cr13 stainless steel. In view of the hybrid Genetic Algorithm and Ant Colony Optimization (GA-ACO) can effectively improve the prediction ability and robustness of Random Forest Regression (RFR), a prediction method of cladding layer quality characteristics based on GA-ACO-RFR was proposed. The fast non-dominated ranking genetic algorithm with elite strategy by introducing the Gaussian distribution crossover operator (GNSGA-II) was used to optimize the process parameters of laser cladding. The results showed that the multi-objective optimization method of laser cladding process parameters proposed in this paper can obtain high-quality laser cladding coating. This work demonstrated the potential of the proposed method in laser cladding process prediction and optimization.
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Meng Wang,Zhijie He,Kang Zhao,Hong Su,Zekan He,Haijun Xuan 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.9
To realize the explosive separation of carbon-fiber-reinforced composites under a linear-shaped charge, the failure mode of the materials under a linear-shaped charge jet was obtained by combining numerical simulation with experiment. Results show that under the action of the shaped charge jet, the three main failure modes of composite materials are shear failure, delamination failure and tensile failure. Moreover, there are different failure modes of composite materials with different thicknesses. In the early stage of cutting, local fiber peeling occurs on the surface of laminates with different thicknesses under the action of initial jet and stress wave. The thin laminate is sheared directly under the energy of the high-speed jet while the thick laminate first suffers shear failure under the action of the jet. After the end of the jet action, tensile failure occurs under the action of stress wave and, at the same time, spalling occurs along the thickness direction.
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Fangyi Li,Minggen Zhou,Zijun Zou,Weichao Li,Canxia Huang,Zhijie He 한국간호과학회 2018 Asian Nursing Research Vol.12 No.4
Purpose: Developing a risk prediction model for invasive fungal disease based on an analysis of the disease-related risk factors in critically ill patients in the intensive care unit (ICU) to diagnose the invasive fungal disease in the early stages and determine the time of initiating early antifungal treatment. Methods: Data were collected retrospectively from 141 critically ill adult patients with at least 4 days of general ICU stay at Sun Yat-sen Memorial Hospital, Sun Yat-sen University during the period from February 2015 to February 2016. Logistic regression was used to develop the risk prediction model. Discriminative power was evaluated by the area under the receiver operating characteristics (ROC) curve (AUC). Results: Sequential organ failure assessment (SOFA) score, antibiotic treatment period, and positive culture of Candida albicans other than normally sterile sites are the three predictors of invasive fungal disease in critically ill patients in the ICU. The model performs well with an ROC-AUC of .73. Conclusion: The risk prediction model performs well to discriminate between critically ill patients with or without invasive fungal disease. Physicians could use this prediction model for early diagnosis of invasive fungal disease and determination of the time to start early antifungal treatment of critically ill patients in the ICU.
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