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Considerations on cover factor in carbon fiber preform formation on curved pipe

Journal of Textile engineering 2024年第1期70卷 1-6页

作者： Maegawa, Masaki Wakako, Lina Kinari, Toshiyasu Graduate School of Natural Science and Technology Kanazawa University Kakumamachi Ishikawa Kanazawa920-1192 Japan Institute of Science and Engineering Kanazawa University Kakumamachi Ishikawa Kanazawa920-1192 Japan Advanced Manufacturing Technology Institute Kanazawa University Kakumamachi Ishikawa Kanazawa920-1192 Japan

We are conducting research on producing CFRP using the braiding technique, which is one of the textile technologies. In this report, we propose a calculation method for the cover factor to integrally mold CFRP braided structures onto common curved hollow pipes, which are prone to stress concentration in mechanical structures. The cover factor is an important indicator to prevent voids (hollow spaces) during press molding. For calculating the expanded cell area on the torus surface of the curved pipe, a three-dimensional torus model, we employed a 2D approximation by considering the torus as a continuous thin surface. Using this 2D approximation, we conducted numerical calculations necessary for creating braided structures in curved hollow shapes and carried out actual fabrication based on these calculations. As a result, we compared the expanded cell area calculated using the three-dimensional torus model and the 2D approximation, demonstrating the usefulness of calculating the cover factor using the 2D approximation. We also compared the calculated cover factor from numerical calculations with the measured values obtained from image analysis of the prototype preform, considering the validity of the calculated values. © 2024 The Textile Machinery Society of Japan.

关键词： Preforming

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Development of Integrated Computational Materials engineering(ICME)Model for Mg Alloy Design and Process Optimization

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Journal of Beijing Institute of technology 2023年第4期32卷 422-442页

作者： Hui Su Zhifei Yan Yingchun Tian Chengpeng Xue Shuo Wang Guangyuan Tian Xinghai Yang Quan Li Xuelong Wu Zhongyao Li Junsheng Wang School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China China North Industries Group No.52 Research InstituteBaotouInner Mongolia 014030China

Integrated computational materials engineering(ICME)has emerged to be one of the most powerful materials genome engineering(MGE)approaches in designing new materials and manufacturing processes in recent *** has successfully deployed many new products for the electronic,automotive,and aerospace *** paper reviews the current status of research on first principles in the design of high-strength Mg alloys,discusses the application of crystal plasticity finite element models to the microscale slip,twinning,microstructure morphology,texture evolution,and macroscopic forming of Mg alloys,and introduces the research progress of crystal plasticity finite element models and phase field models,meta cellular automata models and first principles coupled models respectively,around the need for multi-scale coupled simulations of Mg *** key technology obstacles of integrating the first principles,crystal plasticity finite element,and microstructure models for Mg alloys have been *** paper can provide a reference for the design of new Mg alloy compositions and the development of high-performance Mg alloys.

关键词： first-principles crystal plasticity finite elements microstructure Mg alloys

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A highly efficient method for genomic deletion across diverse lengths in thermophilic Parageobacillus thermoglucosidasius

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Synthetic and Systems Biotechnology 2024年第4期9卷 658-666页

作者： Zhiheng Yang Bixiao Li Ruihong Bu Zhengduo Wang Zhenguo Xin Zilong Li Lixin Zhang Weishan Wang State Key Laboratory of Bioreactor Engineering School of BiotechnologyEast China University of Science and Technology(ECUST)200237ShanghaiChina Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials Key Laboratory of Cluster ScienceMinistry of EducationFrontiers Science Center for High Energy MaterialAdvanced Research Institute of Multidisciplinary ScienceSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing100081China State Key Laboratory of Microbial Resources Institute of MicrobiologyChinese Academy of SciencesBeijing100101China

Parageobacillus thermoglucosidasius is emerging as a highly promising thermophilic organism for metabolic *** utilization of CRISPR-Cas technologies has facilitated programmable genetic manipulation in ***,the absence of thermostable NHEJ enzymes limited the capability of the endogenous type I CRISPR-Cas system to generate a variety of extensive genomic ***,two thermophilic NHEJ enzymes were identified and combined with the endogenous type I CRISPR-Cas system to develop a genetic manipulation tool that can achieve long-range genomic deletion across various *** optimizing this tool—through adjusting the expression level of NHEJ enzymes and leveraging our discovery of a negative correlation between GC content of the guide RNA(gRNA)and deletion efficacy—we streamlined a comprehensive gRNA selection manual for whole-genome editing,achieving a 100%success rate in randomly selecting ***,using just one gRNA,we achieved genomic deletions spanning diverse length,exceeding 200 *** tool will facilitate the genomic manipulation of *** for both fundamental research and applied engineering studies,further unlocking its potential as a thermophilic cell factory.

关键词： Type I CRISPR system Thermostable NHEJ enzymes Thermophile Long-range genomic deletions

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A Visual Interpretation-Based Self-improved Classification System Using Virtual Adversarial Training 9th

A Visual Interpretation-Based Self-improved Classification S...

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19th International Conference on advanced Data Mining and Applications, ADMA 2023

作者： Jiang, Shuai Kamei, Sayaka Li, Chen Hou, Shengzhe Morimoto, Yasuhiko Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan Graduate School of Informatics Nagoya University Nagoya Japan College of Computer Science and Engineering Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9783031466731

The successful application of large pre-trained models such as BERT in natural language processing has attracted more attention from researchers. Since the BERT typically acts as an end-to-end black box, classification systems based on it usually have difficulty in interpretation and low robustness. This paper proposes a visual interpretation-based self-improving classification model with a combination of virtual adversarial training (VAT) and BERT models to address the above problems. Specifically, a fine-tuned BERT model is used as a classifier to classify the sentiment of the text. Then, the predicted sentiment classification labels are used as part of the input of another BERT for spam classification via a semi-supervised training manner using VAT. Additionally, visualization techniques, including visualizing the importance of words and normalizing the attention head matrix, are employed to analyze the relevance of each component to classification accuracy. Moreover, brand-new features will be found in the visual analysis, and classification performance will be improved. Experimental results on Twitter’s tweet dataset demonstrate the effectiveness of the proposed model on the classification task. Furthermore, the ablation study results illustrate the effect of different components of the proposed model on the classification results. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Classification (of information)

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Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine

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Digital Communications and Networks 2023年第2期9卷 296-305页

作者： Jing Zhang Qichen Yan Xiaogang Zhu Keping Yu Department of Computer Science and Technology Xi'an University of Science and TechnologyXi'an710054China Department of Information Science and Technology Northwest UniversityXi’an 710127China School of Public Policy and Administration Nanchang UniversityNanchangJiangxi330031China Graduate School of Science and Engineering Hosei UniversityTokyo184-8584Japan RIKEN Center for Advanced Intelligence Project RIKENTokyo103-0027Japan

The crowd sensing technology can realize the sensing and computing of people,machines,and environment in smart industrial IoT-based coal mine,which provides a solution for safety monitoring through distributed intelligence ***,due to the difficulty of neural network training to achieve global optimality and the fact that traditional LSTM methods do not consider the relationship between adjacent machines,the accuracy of human body position prediction and pressure value prediction is not *** solve these problems,this paper proposes a smart industrial IoT empowered crowd sensing for safety monitoring in coal ***,we propose a Particle Swarm Optimization-Elman Neural Network(PE)algorithm for the mobile human position ***,we propose an ADI-LSTM neural network prediction algorithm for pressure values of machines supports in underground *** them,our proposed PE algorithm has the lowest average cumulative prediction error,and the trajectory fit rate is improved by 24.1%,13.9%and 8.7%compared with Kalman filtering,Elman and Kalman plus Elman algorithms,***,compared with single-input ARIMA,RNN,LSTM,and GRU,the RMSE values of our proposed ADI-LSTM are reduced by 36.6%,52%,32%,and 13.7%,respectively;and the MAPE values are reduced by 0.0003%,0.9482%,1.1844%,and 0.3620%,respectively.

关键词： Crowd sensing Industrial Internet of things Safety monitoring Coal mine

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Enhancing anchoring and catalytic conversion of polysulfides by nitrogen deficient cobalt nitride for advanced lithium-sulfur batteries

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Journal of Energy Chemistry 2022年第10期31卷 407-415,I0010页

作者： Min Luo Yu Bai Rui Sun Meixiu Qu Mengyuan Wang Zhanfeng Yang Zhenhua Wang Wang Sun Kening Sun Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China Beijing Key Laboratory for Chemical Power Source and Green Catalysis School of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China

While lithium-sulfur(Li-S)battery has attracted remarkable attention owing to the high theoretical capacity,its practical application is still hindered by the shuttle and sluggish conversion kinetics of intermediate lithium polysulfides(Li PSs).Defect engineering,which can regulate the electronic structure and in turn influence the surface adsorption and catalytic capability,has been regarded as a feasible strategy to deal with the above ***,few studies on nitrogen vacancies and their mechanisms are ***,cobalt nitride with nitrogen vacancies grown on multi-walled carbon nanotube(CNTCo N-VN)is designed and applied as the separator modification material to investigate the enhancing mechanism of nitrogen vacancies on Li-S *** experimental evidence and theoretical calculation indicate that the introduction of nitrogen vacancies into cobalt nitride can enhance the chemical affinity to Li PSs and effectively hamper the shuttle *** the reduced band gap of the d-band center of Co and p-band center of N for CNT-Co N-VNand the promoted diffusion of Li^(+) can expedite the solid-liquid and liquid-liquid conversions of sulfur *** to these superiorities,the cell with CNT-Co NVNmodified separator delivers a favorable initial capacity of 901 m Ah g^(-1)and a capacity of 660 m Ah g^(-1)can be achieved after 250 cycles at 2 *** work explores the application of metal nitride with nitrogen vacancies and sheds light on the development of functional separators for high-efficient Li-S batteries.

关键词： Cobalt nitride Nitrogen vacancy Redox kinetics Separators Li-S batteries

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Chemical vapor deposited diamond with versatile grades:from gemstone to quantum electronics

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Frontiers of Materials science 2022年第1期16卷 17-54页

作者： Yuting ZHENG Chengming LI Jinlong LIU Junjun WEI Xiaotong ZHANG Haitao YE Xiaoping OUYANG Institute for Advanced Materials and Technology(IAMT) State Key Laboratory for Advanced Metals and MaterialsUniversity of Science and Technology BeijingBeijing 100083China Shunde Graduate School University of Science and Technology BeijingFoshan 528399China School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China School of Engineering University of LeicesterLeicester LE17RHUK School of Materials Science and Engineering Xiangtan UniversityXiangtan 411105China

Chemical vapor deposited(CVD)diamond as a burgeoning multifunctional material with tailored quality and characteristics can be artificially synthesized and controlled for various ***,the application-related“grade”concept associated with materials choice and design was gradually formulated,of which the availability and the performance are optimally *** this review,the explicit diversity of CVD diamond and the clarification of typical grades for applications,i.e.,from resplendent gem-grade to promising quantum-grade,were systematically summarized and discussed,according to the crystal quality and main consideration of ubiquitous nitrogen impurity content as well as major *** of those,from quantum-grade with near-ideal crystal to electronic-grade having extremely low imperfections and then to optical,thermal as well as mechanical-grade needing controlled flaws and allowable impurities,would competently fulfill the multi-field application prospects with appropriate choice in terms of cost and ***,wide range defects and impurities in the gem-grade diamond(only indicating single crystal),which are detrimental for technology applications,endows CVD crystals with fancy colors to challenge their natural counterparts.

关键词： CVD diamond synthesis and characterization quality and impurity grading application

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n-Type Carbon Nanotubes Doped by Cross-Linked Organic Superbase for Stable Thermoelectric Materials

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Energy Material Advances 2024年第1期5卷 243-251页

作者： Mayuko Nishinaka Qingshuo Wei Yasuko Koshiba Shohei Horike Department of Chemical Science and Engineering Graduate School of EngineeringKobe UniversityKobe 657-8501Japan Nanomaterials Research Institute National Institute of Advanced Industrial Science and Technology(AIST)Tsukuba 305-8565Japan Graduate School of Pure and Applied Science University of Tsukuba1-1-1 TennodaiTsukuba 305-8577Japan Research Center for Membrane and Film Technology Kobe UniversityKobe 657-8501Japan Center for Environmental Management Kobe UniversityKobe 657-8501Japan

Carbon nanotubes(CNTs)are emerging as promising platforms for organic thermoelectric(TE)***,the poor stability of n-doped states often presents a problem for the long-term operation of p-n junction TE *** this study,we synthesized a cross-linked organic superbase,2TBD-C10,as a dopant to create n-type CNTs that are resistant to air,heat,and *** comparing the stability of 2TBD-C10-doped CNTs with those doped by a conventional superbase(TBD),we found that the enhanced stability could be attributed to the unique molecular structure of *** structure aids in effective adsorption on the CNT surfaces through multiple points,reduces volatility because of increased molecular weight,and suppresses water adsorption owing to the presence of hydrophobic alkyl *** results of our study demonstrate that tailoring the primary molecular structures of dopants can remarkably improve the stability of doped states in *** stable n-type materials were integrated into all-CNT TE modules,achieving good-to-excellent performance(power output of approximately 35μW from a temperature difference of approximately 65°C),making them suitable for powering wireless sensors and green light-emitting diodes.

关键词： p n junction modules carbon nanotubes thermoelectric materials organic superbase molecular structure hydrophobic alkyl chains carbon nanotubes cnts n type doping

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Artificial intelligence is empowering chemistry research

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National science Open 2024年第2期3卷 4-6页

作者： Shanshan Wang Jin Zhang School of Advanced Materials Shenzhen Graduate SchoolPeking UniversityShenzhen 518055China College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China School of Material Science and Engineering Peking UniversityBeijing 100871China

In recent years,the rapid development of big data and artificial intelligence(AI)is increasingly changing the research paradigms of science and *** 2 has predicted the three-dimensional structures of214 million proteins in more than one million species,covering almost all known proteins on *** reinforcement learning has realized the magnetic control of the tokamak plasma,which requires highdimensional,high-frequency,closed-loop controls together with a bunch of physical and operational *** also automatedly designed an industrial-scale central processing unit(CPU)within 5 h by exploring a search space of the unprecedented size of 10^(10)^(540).All these examples show the enormous potential of AI to revolutionize the way research is done in the scientific field.

关键词： field. chemistry intelligence

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Graphene-based nanomaterials for cancer therapy and anti-infections

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Bioactive Materials 2022年第8期7卷 335-349页

作者： Yan Wang Juan Li Xiaobin Li Jinping Shi Zhaotan Jiang Can Yang Zhang School of Physics Beijing Institute of TechnologyBeijing100081China Advanced Research Institute for Multidisciplinary Science Beijing Institute of TechnologyBeijing100081China Institute of Biopharmaceutical and Health Engineering Shenzhen International Graduate SchoolTsinghua UniversityShenzhen518055China

Graphene-based nanomaterials(GBNMs)has been thoroughly investigated and extensively used in many biomedical fields,especially cancer therapy and bacteria-induced infectious diseases treatment,which have attracted more and more attentions due to the improved therapeutic efficacy and reduced reverse ***,as classic two-dimensional(2D)nanomaterials,have unique structure and excellent physicochemical properties,exhibiting tremendous potential in cancer therapy and bacteria-induced infectious diseases *** this review,we first introduced the recent advances in development of GBNMs and GBNMs-based treatment strategies for cancer,including photothermal therapy(PTT),photodynamic therapy(PDT)and multiple combination ***,we surveyed the research progress of applications of GBNMs in anti-infection such as antimicrobial resistance,wound healing and removal of *** mechanism of GBNMs was also ***,we concluded and discussed the advantages,challenges/limitations and perspective about the development of GBNMs and GBNMs-based ***,we think that GBNMs could be potential in clinic to promote the improvement of cancer therapy and infections treatment.

关键词： Graphene Phototherapy Cancer therapy Anti-infection 2D materials

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