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inheritance factor on the physical properties in metallic glasses

Materials Futures 2022年第3期1卷 185-194页

作者： Weiming Yang Jiawei Li Hongyang Li Haishun Liu Jinyong Mo Si Lan Maozhi Li Xun-Li Wang Jürgen Eckert Juntao Huo School of Mechanics and Civil Engineering State Key Laboratory for Geomechanics and Deep Underground EngineeringChina University of Mining and TechnologyXuzhou 221116People’s Republic of China CAS Key Laboratory of Magnetic Materials and Devices Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboZhejiang 315201People’s Republic of China School of Materials and Physics China University of Mining and TechnologyXuzhou 221116People’s Republic of China Herbert Gleiter Institute of Nanoscience Nanjing University of Science and Technology200 Xiaolingwei AvenueNanjing 210094People’s Republic of China Department of Physics City University of Hong Kong83 Tat Chee AvenueHong KongPeople’s Republic of China Department of Physics Beijing Key Laboratory of Opto-electronic Functional Materials and Micro-nano DevicesRenmin University of ChinaBeijing 100872People’s Republic of China Center for Neutron Scattering City University of Hong Kong Shenzhen Research Institute8 Yuexing 1st RoadShenzhen Hi-Tech Industrial ParkShenzhen 518057People’s Republic of China Erich Schmid Institute of Materials Science Austrian Academy of Science8700 LeobenAustria Department of Materials Science Chair of Materials PhysicsMontanuniversität Leoben8700 LeobenAustria

Material genetic engineering can significantly accelerate the development of new *** an important topic in material science and condensed matter physics,the development of metallic glasses(MGs)with specific properties has largely been the result of trial and error since their discovery in ***,property design based on the physical parameters of constituent elements of MGs remains a huge challenge owing to the lack of an understanding of the property inheritance from constitute elements to the resultant *** this work,we report the inherent relationships of the yield strengthσ_(y),Young’s modulus E,and shear Modulus G with the valence electron *** importantly,we reveal that the electronic density of states(EDOSs)at the Fermi surface(E_(F))is an inheritance factor for the physical properties of *** physical properties of MGs are inherited from the specific element with the largest coefficient of electronic specific heat(γ_(i)),which dominates the value of the EDOS at E_(F).This work not only contributes to the understanding of property inheritances but also guides the design of novel MGs with specific properties based on material genetic engineering.

关键词： metallic glasses inheritance factor mechanical properties electronic density of state

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inheritance factor on the physical properties in metallic glasses

材料展望（英文）

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材料展望（英文） 2022年第3期 185-194页

作者： Weiming Yang Jiawei Li Hongyang Li Haishun Liu Jinyong Mo Si Lan Maozhi Li Xun-Li Wang Jürgen Eckert Juntao Huo School of Mechanics and Civil Engineering State Key Laboratory for Geomechanics and Deep Underground EngineeringChina University of Mining and TechnologyXuzhou 221116People's Republic of China CAS Key Laboratory of Magnetic Materials and Devices Zhejiang Province Key Laboratory of Magnetic Materials and Application TechnologyNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboZhejiang 315201People's Republic of China School of Materials and Physics China University of Mining and TechnologyXuzhou 221116People's Republic of China Herbert Gleiter Institute of Nanoscience Nanjing University of Science and Technology200 Xiaolingwei AvenueNanjing 210094People's Republic of China Department of Physics City University of Hong Kong83 Tat Chee AvenueHong KongPeople's Republic of China Department of Physics Beijing Key Laboratory of Opto-electronic Functional Materials and Micro-nano DevicesRenmin University of ChinaBeijing 100872People's Republic of China Department of Physics City University of Hong Kong83 Tat Chee AvenueHong KongPeople's Republic of China Center for Neutron Scattering City University of Hong Kong Shenzhen Research Institute8 Yuexing 1st RoadShenzhen Hi-Tech Industrial ParkShenzhen 518057People's Republic of China Erich Schmid Institute of Materials Science Austrian Academy of Science8700 LeobenAustria Department of Materials Science Chair of Materials PhysicsMontanUniversität Leoben8700 LeobenAustria

Material genetic engineering can significantly accelerate the development of new *** an important topic in material science and condensed matter physics,the development of metallic glasses(MGs)with specific properties has largely been the result of trial and error since their discovery in ***,property design based on the physical parameters of constituent elements of MGs remains a huge challenge owing to the lack of an understanding of the property inheritance from constitute elements to the resultant *** this work,we report the inherent relationships of the yield strength σy,Young's modulus E,and shear Modulus G with the valence electron *** importantly,we reveal that the electronic density of states(EDOSs)at the Fermi surface(EF)is an inheritance factor for the physical properties of *** physical properties of MGs are inherited from the specific element with the largest coefficient of electronic specific heat(γi),which dominates the value of the EDOS at *** work not only contributes to the understanding of property inheritances but also guides the design of novel MGs with specific properties based on material genetic engineering.

关键词： metallic glasses inheritance factor mechanical properties electronic density of state

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Bayesian Reliability Assessment for High-Value Pyrotechnics Systems Based on inheritance factor 11

Bayesian Reliability Assessment for High-Value Pyrotechnics ...

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11th International Conference on Reliability, Maintainability and Safety (ICRMS) - Integrating Big Data, Improving Reliability & Serving Personalization

作者： Yang, Xiaoyu Wen, Yuquan Dong, Haiping Liang, Qihai Qin, Bin Yi, Xiaojian Beijing Inst Technol State Key Lab Explos Sci & Technol Beijing Peoples R China China North Ind Grp Corp China North Vehicle Res Inst Beijing Peoples R China

ISBN: (纸本)9781509027149

A Bayesian reliability assessment method for pyrotechnics systems based on the inheritance factor is proposed to solve the problem of reliability assessment of high-value pyrotechnics systems with small samples. In this method, the test data of a pyrotechnics system and its components are combined to assess the reliability of the pyrotechnics system, and the inheritance factor is adopted to describe the similarity between the test data of the pyrotechnics system and its components. With the new method, the evaluated reliability of a pyrotechnics system reaches 0.9901 under the confidence level 0.90. The result shows that the new method is more rational than the classical method and the traditional Bayesian method, and it is feasible to use the new method to evaluate the reliability of pyrotechnics systems.

关键词： Military Chemistry and Technique of pyrotechnic pyrotechnics system reliability assessment inheritance factor Bayesian assessment method

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A Bayesian Evaluation Method for Equipment Testability Based on Multiple Prior Information

A Bayesian Evaluation Method for Equipment Testability Based...

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CSAA/IET International Conference on Aircraft Utility Systems

作者： Hongliang Ran Shaoping Wang Lei Fan School of Automation Science and Electrical Engineering Beihang University

ISBN: (纸本)9781510872745

In order to solve the problem of small sample size of equipment testability, a Bayesian evaluation method is proposed in this paper. Similar equipment information, equipment history information and experts' estimates are made as prior information, and their availabilities are expressed by inheritance factors, and posterior distribution of equipment testability evaluation is attained by combining with testability determination test data. This method makes both use of prior information and sample, and takes the dynamic population characteristics into consideration. At last, point estimate and lower confidence limit of testability are calculated by taking a Palletized Loading System as an example, and the results indicate that the method is validity.

关键词： Multiple prior information Equipment Testability inheritance factor Bayesian estimation

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Sequential multilayer fusion based assessment model for spacecraft launch success ratio

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AEROSPACE SCIENCE AND TECHNOLOGY 2016年 48卷 223-233页

作者： Yang, Shan Xu, Lei Xu, Jiuping Sichuan Univ Uncertainty Decis Making Lab Chengdu 610064 Peoples R China Sichuan Univ Jincheng Coll Dept Comp Sci & Software Engn Chengdu 610064 Peoples R China Xihua Univ Dept Elect & Business Management Chengdu 610064 Peoples R China

When assessing a spacecraft's launch success ratio (LSR), it is difficult to conduct many real flight tests before an actual mission because of the high costs, so various simulations must be used to comprehensively assess the LSR. However, during such simulations, problems can occur because the test data do not necessarily come from the same population, so the simulation samples may dominate the flight test samples. To overcome these issues, this paper proposes a sequential multilayer fusion based assessment model for spacecraft LSR. This model introduces an inheritance factor and an updating factor to correct the experimental simulation information, thus ensuring that the corrected information and the flight test information approximately obey the same population, which greatly reduces the influences of the different populations on the LSR. The sequential multilayer fusion model is an effective way to efficiently use prior information to obtain an accurate estimate. A numerical example illustrates how the proposed model can solve the problem of large sample data domination over small sample data and avoid the volatility effects of small flight test samples on the estimated LSR value. (C) 2015 Elsevier Masson SAS. All rights reserved.

关键词： Launch success ratio (LSR) Assessment model inheritance factor Sequential multilayer fusion

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Bayesian Assessment for Reliability of Binomial Components Based on Information Fusion of Similar Products

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Journal of Donghua University(English Edition) 2015年第6期32卷 940-945页

作者：张洋陈浩蒋平郭波 College of Information Systems and Management National University of Defense Technology

A modified Bayesian reliability assessment method of binomial components was proposed by fusing prior information of similar *** traditional Bayesian method usually directly used all the prior data,ignoring the differences between them,which might decrease the credibility level of reliability evaluation and result in data *** solve the problem,a revised approach was derived to calculate groups of prior data's quantitative credibility,used for weighted data *** inheritance factor was introduced to build a mixed beta distribution to illustrate the innovation of new ***,in many cases,inheritance factor was determined by Chi-square test that could not give out exact result with respect to rare *** make the model more precise,Barnard's exact test was suggested being used to calculate the inheritance factor.A numerical example is given to demonstrate that the modified method is successful and rational,while the classical method is too conservative and the traditional Bayesian method is too risky.

关键词： Bayesian reliability assessment information fusion credibility inheritance factor mixed beta distribution

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Reliability Estimation of Aviation Pyrotechnics System Based on Mixed Beta Distribution

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Journal of Donghua University(English Edition) 2014年第6期31卷 766-769页

作者：赖岳华董海平程涛杨树彬 School of Mechatronical Engineering Beijing Institute of Technology The 213th Research Institute of China Ordnance Industry

For evaluating reliability of an aviation pyrotechnics system,a Bayesian reliability estimation method utilizing reliability information of a system and its units was put forward. Firstly,an inheritance factor was determined by chi-square goodness of fit *** the mixed prior distribution was obtained based on the inheritance factor. Finally, the density function of posterior distribution was obtained and used to assess the reliability of *** to the new method, the reliability of an aviation pyrotechnics system was evaluated to reach 0. 989 6 at the confidence level of 0. 90. To reach the reliability index,the required numbers of trials of system and its units were given. It is instructional to apply the new method on the reliability estimation of aviation pyrotechnics systems.

关键词： aviation pyrotechnics system reliability mixed Beta distribution inheritance factor posterior distribution

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Research on Testability Evaluation method of Complex Equipment Based on Test Data in Development Phase

Research on Testability Evaluation method of Complex Equipme...

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2nd International Conference on Advanced Measurement and Test (AMT 2011)

作者： Chang, Chunhe Yang, Jianping Cao, Pengju AF Radar Acad Wuhan 430019 Peoples R China

ISBN: (纸本)9783037851975

Due to the lack of valid testability evaluation methods for complex equipment in the final phase, a new testability evaluation method based on test data in development phase is proposed. The problems that classic statistic method can produce the conclusion with low confidence level and high risk under the condition of small sample are effectively solved. This method adopts mixed prior distribution and determines the inheritance factor by using chi-square goodness of fit between the history test information and the field information. Finally, the fault detection rate of certain large-scale radar equipment is validated. The analysis result of the practical case proves that this method can produce evaluation conclusion with high confidence level, and shows that this method is more rational than the classical statistical method and the traditional Bayes method.

关键词： Complex equipment Testability evaluation Bayes method inheritance factor

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Vaginal Neurofibroma in a Hysterectomized Poodle Dog

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REPRODUCTION IN DOMESTIC ANIMALS 2010年第6期45卷 1130-1133页

作者： Sontas, B. H. Altun, E. D. Guvenc, K. Arun, S. S. Ekici, H. Istanbul Univ Fac Vet Med Dept Obstet & Gynaecol TR-34320 Istanbul Turkey Istanbul Univ Fac Vet Med Dept Pathol TR-34320 Istanbul Turkey

Contents A 15-year-old, spayed, female poodle dog was presented for evaluation of a mass of tissue prolapsed from the vulva. The dog had been hysterectomized when it was 5 years old. A vaginal mass had been removed approximately 10 months before presentation. Haematological and serum biochemistry analyses demonstrated mild leucocytosis and glycaemia. A vaginal smear was predominantly made up of parabasal cells and intermediate cells with no neoplastic cells. Thoracal and abdominal radiographic findings were unremarkable. The ovaries could not be identified using abdominal ultrasonography. A midline exploratory laparotomy identified both ovaries that were surgically excised. The vaginal mass was also removed following an episiotomy procedure. Histopathological examination of the mass demonstrated that it was a neurofibroma. Both ovaries had cystic changes. Four months after the surgery, the owner reported that the dog was clinically normal. To the authors' knowledge, this is the first reported case of a vaginal neurofibroma after an incomplete ovariohysterectomy in the dog.

关键词： inheritance factor Vaginal Mass mass Canis familiaris Neurofibroma Ovary

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BAYESIAN DEMONSTRATION TEST METHOD WITH MIXED BETA DISTRIBUTION

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Chinese Journal of Mechanical Engineering 2008年第3期21卷 116-119页

作者： MING Zhimao TAO Junyong CHEN Xun ZHANG Yun＇an College of Mechatronics Engineering and Automation N~onal University of Defense Technology Changsha 410073 China Reliability Testing Laboratory National University of Defense Technology Changsha 410073 China Department of Mechanical Engineering University of Maryland MD 20742 USA Colloge of Mechatronics Engineering and Automation National University of Defense Technology Changsha 410073 China

A complex mechatronics system Bayesian plan of demonstration test is studied based on the mixed beta distribution. During product design and improvement various information is appropriately considered by introducing inheritance factor, moreover, the inheritance factor is thought as a random variable, and the Bayesian decision of the qualification test plan is obtained, and the correctness of a Bayesian model presented is verified. The results show that the quantity of the test is too conservative according to classical methods under small binomial samples. Although traditional Bayesian analysis can consider test information of related or similar products, it ignores differences between such products. The method has solved the above problem, furthermore, considering the requirement in many practical projects, the differences among this method, the classical method and Bayesian with beta distribution are compared according to the plan of reliability acceptance test.

关键词： Reliability qualification test inheritance factor Bayesian analysis Binomial distribution Maximum posterior risk

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