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A reservoir skeleton-based multiple point geostatistics method

Science china Earth Sciences 2009年第S1期52卷 171-178页

作者： yin yanshu1,wu shenghe2.zhang changmin1,{2.,yangtze University,jingzhou 43402.,china 2.faculty of Resource and Information,china University of Petroleum,Beijing 102.49,china 1. faculty of geosciences Yangtze University Jingzhou 434023 China 2. faculty of Resource and Information China University of Petroleum Beijing 102249 China

Traditional stochastic reservoir modeling,including object-based and pixel-based methods,cannot solve the problem of reproducing continuous and curvilinear reservoir objects. The paper first dives into the various stochastic modeling methods and extracts their merits,then proposes the skeleton-based multiple point geostatistics(SMPS) for the fluvial reservoir. The core idea is using the skeletons of reservoir objects to restrict the selection of data patterns. The skeleton-based multiple point geostatistics consists of two steps. First,predicting the channel skeleton(namely,channel centerline) by using the method in object-based modeling. The paper proposes a new method of search window to predict the skeleton. Then forecasting the distributions of reservoir objects using multiple point geostatistics with the restriction of channel skeleton. By the restriction of channel centerline,the selection of data events will be more reasonable and the realization will be achieved more really. The checks by the conceptual model and the real reservoir show that SMPS is much better than Sisim(sequential indicator simulation) ,Snesim(Single Normal Equation Simulation) and Simpat(simulation with patterns) in building the fluvial reservoir model. This new method will contribute to both the theoretical research of stochastic modeling and the oilfield developments of constructing highly precise reservoir geological models.

关键词： reservoir skeleton multiple point geostatistics restriction Simpat(simulation with patterns) fluvial reservoir geological model

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Asymmetric Transfer Hydrogenation of Stable NH Imines for the Synthesis of Enantiopure α-Chiral Primary Amines

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Chinese Journal of Chemistry 2024年第18期42卷 2211-2216页

作者： Mangang zhang Hui li Keqin {2. Nianxin Rong Shaoquan lin Hua Yang Qin yin College of Chemistry and Chemical Engineering Central South UniversityChangshaHunan 410083China faculty of Pharmaceutical Sciences Shenzhen University of Advanced TechnologyShenzhenGuangdong 518055China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhenGuangdong 518055China

Although it offers a direct route to access synthetically valuableα-chiral primary amines,asymmetric transfer hydrogenation of NH imines has been rarely studied,due in large part to the inaccessibility and instability of NH ***,we report a Rh-catalyzed asymmetric transfer hydrogenation of a kind of novel and stable NH imines which are prepared via condensation of easily available sulfonylated 2.-aminoacetophenones with NH3 in *** this method,enantioenriched chiral 2.(1-aminoalkyl)anilines,which are privileged pharmacore groups,have been synthesized with good functional group compatibility,and with up to 99%ee.A gram-scale reaction using 0.2.mol%of catalyst has been successfully performed to highlight the ***,the products can be derivatized into enantiopure bioactive molecules as well as chiral tridentate ligands for metal catalysis.

关键词： Asymmetric transfer hydrogenation Asymmetric hydrogenation α-Chiral primary amine NH imines 2.(1-Aminoalkyl)anilines

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Remote heteroepitaxy of transition metal dichalcogenides through monolayer hexagonal boron nitride

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Nano Research 2024年第4期17卷 3224-3231页

作者： Jidong Huang Jingren Chen Junhua Meng Siyu zhang Ji Jiang Jingzhen li libin Zeng Zhigang yin Jinliang wu Xingwang zhang Key Lab of Semiconductor Materials Science Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China faculty of Science Beijing University of TechnologyBeijing 100124China

As a very promising epitaxy technology,the remote epitaxy has attracted extensive attention in recent years,in which graphene is the most used interlayer *** an isomorphic of graphene,two-dimensional(2.)hexagonal boron nitride(h-BN),is another promising interlayer for the remote ***,there is a current debate on the feasibility of using h-BN as interlayer in the remote ***,we demonstrate that the potential field of sapphire can completely penetrate monolayer h-BN,and hence the remote epitaxy of ZrS_(2. layers can be realized on sapphire substrates through monolayer *** field of sapphire can only partially penetrate the bilayer h-BN and result in the mixing of remote epitaxy and van der Waals(vdWs)*** to the weak interfacial scattering and high crystalline quality of ZrS_(2. epilayer,the ZrS_(2. photodetector with monolayer h-BN shows the best performance,with an on/off ratio of more than 2.10^(5) and a responsivity up to 379 mA·W^(-1).This work provides an efficient approach to prepare single-crystal transition metal dichalcogenides and their heterojunctions with h-BN,which have great potential in developing large-area 2. electronic devices.

关键词： remote epitaxy hexagonal boron nitride transition metal dichalcogenides chemical vapor deposition photodetectors

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Development of pharmacological immunoregulatory anticancer therapeutics:current mechanistic studies and clinical opportunities

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Signal Transduction and Targeted Therapy 2024年第6期9卷 2477-2526页

作者： Nanhao yin Xintong li Xuanwei {2. Shaolong Xue Yu Cao Gabriele Niedermann You Lu Jianxin Xue Division of Thoracic Tumor Multimodality Treatment Cancer Center&State Key Laboratory of Biotherapyand The National Clinical Research Center for GeriatricsWest China HospitalSichuan UniversityNo.37Guoxue LaneChengdu 610041 SichuanPR China Department of Gynecology and Obstetrics West China Second University HospitalSichuan UniversityNo.20Section 3South Renmin RoadChengdu 610041 SichuanPR China Department of Emergency Medicine Laboratory of Emergency MedicineWest China HospitalSichuan UniversityNo.37Guoxue LaneChengdu 610041 SichuanPR China Institute of Disaster Medicine&Institute of Emergency Medicine Sichuan UniversityNo.17Gaopeng AvenueChengdu 610041 SichuanPR China Department of Radiation Oncology Medical Center—University of FreiburgFaculty of MedicineUniversity of FreiburgGerman Cancer Consortium(DKTK)Partner Site DKTK-FreiburgRobert-Koch-Strasse 379106 FreiburgGermany Laboratory of Clinical Cell Therapy West China HospitalSichuan UniversityNo.2222Xinchuan RoadChengdu 610041 SichuanPR China

Immunotherapy represented by anti-PD-(L)1 and anti-CTLA-4 inhibitors has revolutionized cancer treatment,but challenges related to resistance and toxicity still *** to the advancement of immuno-oncology,an increasing number of novel immunoregulatory targets and mechanisms are being revealed,with relevant therapies promising to improve clinical immunotherapy in the foreseeable ***,comprehending the larger picture is *** this review,we analyze and summarize the current landscape of preclinical and translational mechanistic research,drug development,and clinical trials that brought about next-generation pharmacological immunoregulatory anti-cancer agents and drug candidates beyond classical immune checkpoint *** with further clarification of cancer immunobiology and advances in antibody engineering,agents targeting additional inhibitory immune checkpoints,including LAG-3,TIM-3,TIGIT,CD47,and B7 family members are becoming an important part of cancer immunotherapy research and discovery,as are structurally and functionally optimized novel anti-PD-(L)1 and anti-CTLA-4 agents and agonists of co-stimulatory molecules of T *** by bispecific T cell engagers,newly emerging bi-specific and multi-specific antibodies targeting immunoregulatory molecules can provide considerable clinical ***-generation agents also include immune epigenetic drugs and cytokine-based *** therapies,cancer vaccines,and oncolytic viruses are not covered in this *** comprehensive review might aid in further development and the fastest possible clinical adoption of effective immuno-oncology modalities for the benefit of patients.

关键词： clinical immuno landscape

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Establishing prognostic models for intrahepatic cholangiocarcinoma based on immune cells

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World Journal of Gastrointestinal Oncology 2024年第10期16卷 4092-4103页

作者： Zhuo-Ran Wang Cun-Zhen zhang Zhan Ding Yi-Zhuo li Jian-Hua {2. Nan li Department of Hepatic Surgery I(Ward I)Shanghai Eastern Hepatobiliary Surgery Hospital Navy Medical UniversityShanghai 200433China Key Laboratory of Biological Defense Ministry of EducationNavy Medical UniversityShanghai 200433China Shanghai Key Laboratory of Medical Bioprotection Navy Medical UniversityShanghai 200433China Department of Epidemiology Faculty of Navy MedicineNavy Medical UniversityShanghai 200433China Department of Oncology 905 Hospital of People’s Liberation Army NavyShanghai 200050China Department of Hepatobiliary Surgery The Second Affiliated HospitalWenzhou Medical UniversityWenzhou 325000Zhejiang ProvinceChina

BACKGROUND Intrahepatic cholangiocarcinoma(ICC)is a malignant liver tumor that is challenging to treat and manage and current prognostic models for the disease are inefficient or ***-associated immune cells are critical for tumor development and *** main goal of this study was to establish models based on tumor-associated immune cells for predicting the overall survival of patients undergoing surgery for *** To establish 1-year and 3-year prognostic models for ICC after surgical *** Immunohistochemical staining was performed for CD4,CD8,CD2.,pan-cytokeratin(CK),and CD68 in tumors and paired adjacent tissues from 141 patients with ICC who underwent curative *** of variables was based on regression diagnostic procedures and goodness-of-fit tests(PH assumption).Clinical parameters and pathological diagnoses,combined with the distribution of immune cells in tumors and paired adjacent tissues,were utilized to establish 1-and 3-year prognostic *** This is an important application of immune cells in the tumor ***4,CD8,CD2.,and CK were included in the establishment of our prognostic model by stepwise selection,whereas CD68 was not significantly associated with the prognosis of *** integrating clinical data associated with ICC,distinct prognostic models were derived for 1-and 3-year survival outcomes using variable *** 1-year prediction model yielded a C-index of 0.7695%confidence interval(95%CI):0.65-0.87 and the 3-year prediction model produced a C-index of 0.69(95%CI:0.65-0.73).Internal validation yielded a C-index of 0.761(95%CI:0.669-0.853)for the 1-year model and 0.693(95%CI:0.642.0.744)for the 3-year *** We developed Cox regression models for 1-year and 3-year survival predictions of patients with ICC who underwent resection,which has positive implications for establishing a more comprehensive prognostic model for ICC based on tumor immune microenvironment an

关键词： Intrahepatic cholangiocarcinoma Tumor immune cells Biomarkers Prognosis Prediction models

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Chinese version of the Perth Alexithymia Questionnaire:psychometric properties and clinical applications

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General Psychiatry 2024年第2期37卷 274-283页

作者： Xin-Lu Cai Qingying Ye Ke Ni lin Zhu Qian {2. Minmin yin Zhe {2. Wei Wei David A.Preece Bao-Ming li Institute of Brain Science and Department of Physiology School of Basic Medical SciencesHangzhou Normal UniversityHangzhouZhejiangChina Zhejiang Philosophy and Social Science Laboratory for Research in Early Development and Childcare Hangzhou Normal UniversityHangzhouZhejiangChina Qiqihar Mental Health Center QiqiharChina Department of Special Education Faculty of EducationHangzhou Normal UniversityHangzhouZhejiangChina Department of Neurobiology Affiliated Mental Health Center&Hangzhou Seventh People's Hospital Zhejiang University School of MedicineHangzhouZhejiangChina liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-machine IntegrationState Key Laboratory of Brain-machine IntelligenceZhejiang UniversityHangzhouZhejiangChina NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang UniversityHangzhouChina School of Population Health and Curtin enAble Institute Curtin UniversityPerthWestern AustraliaAustralia School of Psychological ScienceThe University of Western AustraliaPerthWestern AustraliaAustralia

Background The alexithymia trait is of high clinical *** Perth Alexithymia Questionnaire(PAQ)was recently developed to enable detailed facet-level and valence-specific assessments of *** In this paper,we introduce the first Chinese version of the PAQ and examine its psychometric properties and clinical *** In Study 1,the PAQ was administered to 990 Chinese *** examined its factor structure,internal consistency,test-retest reliability,as well as convergent,concurrent and discriminant *** Study 2.four groups,including a major depressive disorder(MDD)group(n=50),a matched healthy control group for MDD(n=50),a subclinical depression group(n=50)and a matched healthy control group for subclinical depression(n=50),were *** comparisons were conducted to assess the clinical relevance of the *** In Study 1,the intended five-factor structure of the PAQ was found to fit the data *** PAQ showed good internal consistency and test-retest reliability,as well as good convergent,concurrent and discriminant *** Study 2.the PAQ was able to successfully distinguish the MDD group and the subclinical depression group from their matched healthy *** The Chinese version of the PAQ is a valid and reliable instrument for comprehensively assessing alexithymia in the general population and adults with clinical/subclinical depression.

关键词： clinical instrument matched

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Recess-free enhancement-mode AlGaN/GaN RF HEMTs on Si substrate

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Journal of Semiconductors 2024年第6期45卷 81-86页

作者： Tiantian Luan Sen Huang Guanjun Jing Jie Fan Haibo yin Xinguo Gao Sheng zhang Ke Wei Yankui {2. Qimeng Jiang Xinhua Wang Bin Hou {2.ng Yang Xiaohua Ma Xinyu {2.u High-Frequency High-Voltage Device and Integrated Circuits R&D Center Institute of Microelectronics of Chinese Academy of SciencesBe i-jing 100029China School of integrated Circuits University of Chinese Academy of SciencesBeijing 100049China faculty of integrated Circuits Xidian UniversityXi’an 710071China

Enhancement-mode(E-mode)GaN-on-Si radio-frequency(RF)high-electron-mobility transistors(HEMTs)were fabri-cated on an ultrathin-barrier(UTB)AlGaN(<6 nm)/GaN heterostructure featuring a naturally depleted 2.D electron g... 详细信息

Enhancement-mode(E-mode)GaN-on-Si radio-frequency(RF)high-electron-mobility transistors(HEMTs)were fabri-cated on an ultrathin-barrier(UTB)AlGaN(2.D electron gas(2.EG)*** fabricated E-mode HEMTs exhibit a relatively high threshold voltage(VTH)of+1.1 V with good uniformity.A maxi-mum current/power gain cut-off frequency(fT/fMAX)of 31.3/99.6 GHz with a power added efficiency(PAE)of 52.47%and an out-put power density(Pout)of 1.0 W/mm at 3.5 GHz were achieved on the fabricated E-mode HEMTs with 1-μm gate and Au-free ohmic contact.

关键词： AlGaN/GaN heterostructure ultrathin-barrier enhancement-mode radio-frequency power added efficiency silicon substrate

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Artificial intelligence system for outcome evaluations of human in vitro fertilization-derived embryos

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Chinese Medical Journal 2024年第16期137卷 1939-1949页

作者： ling Sun Jiahui li Simiao Zeng Qiangxiang Luo Hanpei Miao Yunhao liang linling Cheng Zhuo Sun Wa Hou Tai Yibing Han Yun yin Keliang wu Kang zhang Department of Reproductive Medicine Guangzhou Women and Children’s Medical CenterGuangzhou Medical UniversityGuangzhouGuangdong 510623China Guangzhou National Laboratory GuangzhouGuangdong 510000China Department of Reproductive Medicine Jiangmen Central HospitalJiangmenGuangdong 529000China Department of Ophthalmology Dongguan People’s HospitalThe First School of Clinical MedicineSouthern Medical UniversityDongguanGuangdong 523000China Institute for Artificial Intelligence in Medicine Faculty of MedicineMacao University of Science and TechnologyMacao Special Administrative Region 999078China Wenzhou Eye Hospital Institute for Advanced Studies on Eye Health and DiseasesWenzhou Medical UniversityWenzhouZhejiang 325000China Kiang wu Hospital Macao Special Administrative Region 999078China faculty of Business City University of MacaoMacao Special Administrative Region 999078China State Key Laboratory of Reproductive Medicine and Offspring Health Center for Reproductive MedicineInstitute of WomenChildren and Reproductive Health and Key laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanShandong 250000China

Background:In vitro fertilization(IVF)has emerged as a transformative solution for ***,achieving favorable live-birth outcomes remains *** clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods,including static images and temporal ***,traditional embryo selection methods,primarily reliant on visual inspection of morphology,exhibit variability and are contingent on the experience of ***,an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly ***:We employed artificial intelligence(AI)for embryo morphological grading,blastocyst embryo selection,aneuploidy prediction,and final live-birth outcome *** developed and validated the AI models using multitask learning for embryo morphological assessment,including pronucleus type on day 1 and the number of blastomeres,asymmetry,and fragmentation of blastomeres on day 3,using 19,2.1 embryo photographs from 82.1 patients.A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5,and predict live-birth ***,a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing(PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth ***:These two approaches enabled us to automatically assess the implantation *** combining embryo and maternal metrics in an ensemble AI model,we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists(46.1%vs.30.7%on day 3,55.0%vs.40.7%on day 5).Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians(area under the curve:0.769,95%confidence interval:0.709-0.82.).These findings coul

关键词： Artificial intelligence Fertilization Embryo implantation Blastocyst Aneuploidy Neural networks,computer live birth

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Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying liu Jin {2. Long Yu Fei Wang Yong Xie Jun li Fang Wang Sabine Grunwald Bryan MWong Fan {2. Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai {2. Husi Letu Bing {2. li Wang Lei Luo Chong Shi Hongjun Su Hongsheng {2. Shuai yin Ni Huang Wei Zhao Nan li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan wu Danfeng Hong Zhenyu Wang yinyi lin Tangtang {2. Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao {2. Jiancheng Shi lizhe Wang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

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约束喷射沉积过程中雾化气流场的模拟研究

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材料工程 2018年第11期46卷 102-109页

作者：尹建成杨环刘英莉陈业高张八淇钟毅昆明理工大学材料科学与工程学院昆明650093 昆明理工大学信息工程与自动化学院昆明650504

采用双旋转盘流型控制器约束雾化射流,利用计算流体动力学Fluent软件模拟分析不同雾化气体压力下约束喷射沉积的流场特性,并进行了实验验证。结果表明:随着雾化气体压力的增加,反向气流速度增大,导流管出口温度降低,极易出现堵塞现象。... 详细信息

采用双旋转盘流型控制器约束雾化射流,利用计算流体动力学Fluent软件模拟分析不同雾化气体压力下约束喷射沉积的流场特性,并进行了实验验证。结果表明:随着雾化气体压力的增加,反向气流速度增大,导流管出口温度降低,极易出现堵塞现象。当雾化气体压力为2.5×10~5Pa、熔体入口压力为2.0×10~4Pa时,作用于熔体上的压强最小,约为8.99×10~3Pa,金属熔体可顺利流出,沉积坯没有明显的氧化现象,雾化效果最好,且沉积坯的宽度与连续挤压机轮槽的宽度一致。

关键词：喷射成形喷射沉积连续挤压气体压力数值模拟

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