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75th World Foundry Congress, WFC 2024

作者： Dong, Hao Hou, Mingjun Ji, Xiaoyuan Zhou, Jianxin State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and Technology Wuhan430074 China

The two-dimensional X-ray inspection images of light alloy castings cannot intuitively reflect the depth and size of defects, and the correspondence between image defect coordinates and the three-dimensional body of the casting is unclear. Therefore, manual repeated drilling and inspection are needed to determine defect locations, resulting in low-quality and inefficient welding repairs. To address these problems, we propose a three-dimensional defect positioning method for light alloy castings based on multi-angle X-ray inspection images. First, we collect images of the castings at different inspection angles, and integrate image processing methods such as filtering to extract the contours of defect areas in the images. Next, we establish the relative positions and angles between the radiation source, casting, and imaging plate to construct a coordinate upscaling model from the image to the three-dimensional model, achieving the conversion from two-dimensional image defect coordinates to three-dimensional casting defect coordinates. Finally, we calculate the intersections between the rays and the casting model, establish boundary feature polyhedrons, and develop a defect morphology reconstruction algorithm to achieve three-dimensional defect positioning based on multi-angle inspection images. This method achieves three-dimensional defect positioning of castings by simulating actual DR inspections and has significant engineering application value. © 2024 75th World Foundry Congress, WFC 2024. All rights reserved.

关键词： X ray detectors

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Casting-RCG and GRImage-Net: Generation of Casting Flaw Detection Image and Defect Intelligent Detection 75

Casting-RCG and GRImage-Net: Generation of Casting Flaw Dete...

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75th World Foundry Congress, WFC 2024

作者： Hou, Mingjun Dong, Hao Ji, Xiaoyuan Li, Qinyang Wu, Chuhao Li, Shuohong Yin, Yajun Zhou, Jianxin State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and Technology Wuhan430074 China

The automatic defect detection of casting X-ray inspection images based on deep learning has the problems of single defect sample topography and poor network generalization. Therefore, the research on casting inspection image generation and multi-source image deep feature fusion defect detection is carried out. Firstly, a defect image simulation generation model based on RCG (Casting-RCG) was constructed, and a quasi-unconditional generation framework was built according to the defect features, which realized the high-quality generation of multiple defects such as shrinkage holes in Casting inspection images. Secondly, a defect localization and classification network based on deep feature fusion of generated images and real images (GRImage-Net) was created, and ablation experiments were carried out to verify the performance of the network. The results show that GRImage-Net based on Casting-RCG can significantly improve the accuracy, precision and recall rate of defect detection. It has better generalization than the single feature input model. The Casting-RCG and GRImage-Net created in this paper provide a new way to enrich the defect morphology and improve the generalization of the network, which has important theoretical guidance and engineering application value. © 2024 75th World Foundry Congress, WFC 2024. All rights reserved.

关键词： Precision casting

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Suppression mechanisms on proliferation of glioma U251 cells by FePt nanoparticles through intracellular oxidative stress

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Rare Metals 2022年第4期41卷 1202-1209页

作者： Yao-Min Li Li-Hui Meng Yan-Ru Hu Tian-Tian Zhang Zheng-Nan Su Zhi-Yuan Ouyang Wen-Chao Li Jiang-Ling Wan Qing-Zhi Wu State Key Laboratory of Advanced Technology for Materials Synthesis and Processing and Biomedical Materials and Engineering CentreWuhan University of TechnologyWuhan 430070China National Engineering Research Centre for Nanomedicine College of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China

FePt nanoparticles(NPs)have attracted a great deal of attention in biomedical applications due to their excellent superparamagnetic property and anticancer activity,which display promising potential as the MRI/CT contrast imag-ing agent for cancer detection and *** this study,the suppression mechanism induced by FePt NPs on U251 cells is *** U251 cells are co-cultured with FePt NPs at different concentrations,and the intra-cellular oxidative stress was studied by detecting the activities of various redox enzymes and expression of several apoptosis-related *** cell viability assay shows that the highest suppression on the proliferation of glioma U251 cells is 10.5%±5.6%after treatment with 5μg·ml^(-1)FePt NPs for 24 *** this case,the LDH release remarkably *** cytometry and fluorescence assay show that FePt NPs promote the apoptosis and G0/G1 phase arrest of U251 cells.

关键词： nanoparticles U251 stress

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Chemical and engineering bases for green H2O2 production and related oxidation and ammoximation of olefins and analogues

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National Science Review 2024年第8期11卷 304-321页

作者： Minghua Qiao Xinggui Zhou Zexue Du Peng Wu Baoning Zong Collaborative Innovation Center of Chemistry for Energy Materials Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials Fudan University State Key Laboratory of Chemical Engineering East China University of Science and Technology State Key Laboratory of Petroleum Molecular& Process Engineering Research Institute of Petroleum ProcessingSINOPEC State Key Laboratory of Petroleum Molecular& Process Engineering School of Chemistry and Molecular Engineering East China Normal University

Plastics,fibers and rubber are three mainstream synthetic materials that are essential to our daily lives and contribute significantly to the quality of our *** production of the monomers of these synthetic polymers usually involves oxidation or ammoximation reactions of olefins and ***,the utilization of C,O and N atoms in current industrial processes is <80%,which represents the most environmentally polluting processes for the production of basic *** innovation and integration of catalytic materials,new reaction pathways,and reaction engineering,the Research Institute of Petroleum processing,Sinopec Co.,Ltd.（RIPP） and its collaborators have developed unique H2O2-centered oxidation/ammoximation technologies for olefins and analogues,which has resulted in a ￥500 billion emerging industry and driven trillions of ￥s' worth of downstream *** chemical and engineering bases of the production technologies mainly involve the integration of slurry-bed reactors and microsphere catalysts to enhance H2O2production,H2O2propylene/chloropropylene epoxidation for the production of propylene oxide/epichlorohydrin,and integration of H2O2cyclohexanone ammoximation and membrane separation to innovate the caprolactam production *** review briefly summarizes the whole process from the acquisition of scientific knowledge to the formation of an industrial production technology by ***,the scientific frontiers of H2O2production and related oxidation/ammoximation processes of olefins and analogues are reviewed,and new technological growth points are envisaged,with the aim of maintaining China's standing as a leader in the development of the science and technologies of H2O2production and utilization.

关键词： hydrogen peroxide oxidation ammoximation propylene oxide epichlorohydrin cyclohexanone oxime

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Recent advances in iron-based sulfides electrocatalysts for oxygen and hydrogen evolution reaction

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Chinese Chemical Letters 2024年第1期35卷 181-195页

作者： Jing Mei Yuqing Deng Xiaohong Cheng Xing Wang Qi Wu State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile UniversityWuhan 430200China Hubei Key Laboratory of Pollutant Analysis&Reuse Technology College of Chemistry and Chemical EngineeringHubei Normal UniversityHuangshi 435002China Hubei Key Laboratory of Low Dimensional Optoelectronic Materials and Devices Hubei University of Arts and ScienceXiangyang 441053China

Increasing environmental pollution and shortage of conventional fossil fuels have made it urgent to develop renewable and clean energy sources. Electrocatalytic water splitting, with its abundant raw materials, simple process, and zero carbon emission, is considered one of the most promising processes for producing carbon-neutral hydrogen which has excellent energy conversion efficiency and high gravimetric energy density. Among them, oxygen evolution reaction (OER) electrocatalysts and hydrogen evolution reaction (HER) electrocatalysts are critical to decreasing the intrinsic reaction energy barrier and boosting the hydrogen evolution efficiency. Therefore, it is imperative to develop and design low-cost, highly active, and stable OER and HER electrocatalysts to lower the overpotential and drive the electrocatalytic reactions. Transition metal sulfides, especially iron-based sulfides, have attracted extensive exploration by researchers as a result of its high abundance in the Earth's crust and near-metallic conductivity. Consequently, in this review, we systematically and comprehensively summarize the progress in the application of iron-based sulfides and their composites as OER and HER electrocatalysts in electrocatalysis. Detailed descriptions and illustrations of the special relationships among their composition, structure, and electrocatalytic performance are presented. Finally, this review points out the challenges and future prospects of iron-based sulfides in practical applications for designing and fabricating more promising iron-based sulfide OER and HER electrocatalysts. We believe that iron-based sulfide materials will have a wide range of application prospects as OER and HER electrocatalysts in the future.

关键词： Iron-based sulfides Electrocatalysts Doping Composites Water splitting

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Epitaxial growth of 2D gallium selenide flakes for strong nonlinear optical response and visible-light photodetection

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Frontiers of physics 2023年第5期18卷 237-244页

作者： Mengting Song Nan An Yuke Zou Yue Zhang Wenjuan Huang Huayi Hou Xiangbai Chen Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of TechnologyWuhan 430205China State Key Laboratory of Materials Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

As an emerging groupⅢ–Ⅵsemiconductor two-dimensional(2D)material,gallium selenide(GaSe)has attracted much attention due to its excellent optical and electrical *** this work,high-quality epitaxial growth of few-layer GaSe nanoflakes with different thickness is achieved via chemical vapor deposition(CVD)*** to the non-centrosymmetric structure,the grown GaSe nanoflakes exhibits excellent second harmonic generation(SHG).In addition,the constructed GaSe nanoflake-based photodetector exhibits stable and fast response under visible light excitation,with a rise time of 6 ms and decay time of 10 *** achievements clearly demonstrate the possibility of using GaSe nanoflake in the applications of nonlinear optics and(opto)-electronics.

关键词： 2D materials gallium selenide second harmonic generation chemical vapor deposition photodetector

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Three-Dimensional Quantitative Characterization and Process Optimization for Simulating Shrinkage Defects of Titanium Alloy Aeroengine Casing in Investment Casting 75

Three-Dimensional Quantitative Characterization and Process ...

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75th World Foundry Congress, WFC 2024

作者： Sun, Tao Yu, Peng Ji, Xiaoyuan Zhou, Wenhao Pan, Xuzheng Li, Tianyou Yin, Yajun Zhou, Jianxin State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and Technology Wuhan430074 China

A three-dimensional characterization system of shrinkage defects in numerical simulation and a multi-objective optimization method are proposed for titanium alloy aeroengine casing in investment casting using the traditional optimization methods of subjective evaluation and trial-and-error method. The method extracts the three-dimensional quantitative characterization system of shrinkage defects in the criterion of size, location and shape based on the numerical simulation results of titanium alloy aeroengine casing, and establishes a prediction model based on the three-dimensional feature values of shrinkage obtained from multiple sets of numerical simulations through a machine learning algorithm. Using the characteristic prediction model of size and location as the objective function, the second-generation non-dominated sorting genetic algorithm (NSGA-II) is employed to perform multi-objective optimization of the casting process parameters, obtaining a craft window for shrinkage defects in numerical simulation. © 2024 75th World Foundry Congress, WFC 2024. All rights reserved.

关键词： Titanium alloys

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Intelligent Design and Optimization of Feeding System in Castings Based on Reinforcement Learning 75

Intelligent Design and Optimization of Feeding System in Cas...

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75th World Foundry Congress, WFC 2024

作者： Li, Lechuan Yin, Yajun Ji, Xiaoyuan Shen, Xu Li, Wen Zhou, Jianxin State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and Technology Wuhan430074 China

The feeding system can effectively reduce the shrinkage porosity in the design of casting process and then improve the casting quality and process yield. therefore, the automatic and intelligent design of the feeding system plays an essential role in the casting process design of complex structural castings. In this paper, an intelligent design method of feeding system for complex structural castings based on reinforcement learning is proposed. By combining simulation with reinforcement learning model, a novel design method with high quality and efficiency of feeding system is realized. Firstly, the adaptive design method of the initial process of feeding system based on temperature gradient descent is established to provide the required environment for reinforcement learning model. Secondly, The tabular form Q-learning method in reinforcement learning is adopted, and the initial process design is regarded as the environment, and the return is obtained from the results of the solidification and heat transfer simulation. The specific size of the riser is optimized by selecting the optimal action and state in the optimization process of each step, and the above steps are iterated repeatedly until the termination condition is met. Thirdly, the influence of changes in different model parameters on the optimization results is discussed by modifying the Q-learning model, and the model parameters are updated to determine the optimal reinforcement learning model suitable for this environment. Finally, the model is tested by intelligent design of feeding system for several groups of complex structure castings. The test results show that the model has a good effect on a variety of complex structure castings, which proves the validity and reliability of this model. © 2024 75th World Foundry Congress, WFC 2024. All rights reserved.

关键词： feeding system process optimization reinforcement learning solidification simulation

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New Development of Intelligent Detection technology for Complex Aerospace Castings Ray Flaw Detection 75

New Development of Intelligent Detection Technology for Comp...

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75th World Foundry Congress, WFC 2024

作者： Ji, Xiaoyuan Hou, Mingjun Dong, Hao Duan, Haozhe Wu, Chuhao Li, Qinyang Li, Shuohong Yin, Yajun Zhou, Jianxin State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and Technology Wuhan430074 China

Complex castings of light alloys such as aluminum, titanium and magnesium are widely used in high-end national defense equipment such as aerospace. The main means of internal defect detection are "X-ray flaw detection two-dimensional DR Manual division parameter adjustment and film shooting + manual visual experience evaluation + manual trial and error three-dimensional positioning". The three links are highly dependent on manual labor, and defects are easy to miss and mis-detect, and the efficiency is low, resulting in potential safety risks for equipment. Therefore, a new idea of intelligent casting inspection in the whole process of path planning, automatic machine assessment and 3D defect positioning is proposed. A defect recognition and evaluation model based on casting knowledge and deep learning is established, an inspection path optimization and planning algorithm based on quality key points, and a 3D defect reconstruction and position technology based on multi-angle 2D images. The results of engineering application or test verification show that the accuracy of casting defect assessment exceeds 98% (miss detection is close to 0), full-size filming without blind area, and 3D positioning error is less than 2%, which is expected to transform manual inspection into intelligent inspection of the whole process of filming, scoring and positioning. © 2024 75th World Foundry Congress, WFC 2024. All rights reserved.

关键词： Magnesium castings

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Achieving a large field-induced polarization and energy density in BaTiO_(3)films sputter-deposited on Si at 200℃ via a buffer-layer technique

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Journal of advanced Ceramics 2025年第3期14卷 69-78页

作者： Chao Liu Jun Ouyang Yuyao Zhao Hanfei Zhu Hongbu Cheng Zhenyan Liang Li Wang Institute of Advanced Energy Materials and Chemistry Jinan Engineering Laboratory for Multi-scale Functional MaterialsShandong Provincial Key Laboratory of Molecular EngineeringSchool of Chemistry and Chemical EngineeringQilu University of Technology(Shandong Academy of Sciences)Jinan 250353China Key Laboratory of Key Film Materials&Application for Equipments(Hunan Province) Hunan Provincial Key Laboratory of Thin Film Materials and DevicesSchool of Material Sciences and EngineeringXiangtan UniversityXiangtan 411105China Key Laboratory for Liquid–Solid Structure Evolution and Processing of Materials(Ministry of Education) School of Materials Science and EngineeringShandong UniversityJinan 250061China

Ferroelectric oxide films with a large field-induced polarization can be used in dielectric capacitors for charge or energy storage in microelectronic systems and hence have attracted intense research interest.A high processing temperature is usually required to produce a well-crystallized polar phase and hence a large polarization in the film,corresponding to a high charge or energy ***,high processing temperature not only reduces the charge‒discharge efficiency by producing a sizable remnant polarization but is also incompatible with the integration *** this study,we address this problem by creating a large field-induced polarization(~55.8μC/cm^(2))in BaTiO_(3)films sputter-deposited on Si at 200℃ via a buffer-layer *** large polarization led to a high energy density and efficiency(Wrec≈94.7 J/cm^(3),η≈78.2%@4 MV/cm).The thickness of LaNiO_(3)buffer layer was revealed to be the key factor determining the electric polarization(remnant and field-induced ones).A 50 nm LaNiO_(3)thickness,corresponding to the aforementioned polarization and energy storage performance,not only ensures proper crystallization in the BaTiO_(3)film,but also leads to an optimal combination of polycrystalline grains with a high dielectric *** latter accounts for the majority of the field-induced *** results revealed the key role of a buffer layer in tuning the microstructure of a low-temperature deposited ferroelectric oxide ***,the excellent charge/energy storage performance of these 200℃-deposited BaTiO_(3)films has provided many opportunities for this simple dielectric in microelectronics.

关键词： ferroelectric oxide films field-induced polarization BaTiO_(3) LaNiO3 energy density

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