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| 1 | Computer Modeling: an Important Tool in Materials Processing显示文摘The development of techniques to control and use materials, especially metallic materials continues to play a key role in the technological advancement of modem day society. A variety of materials processes have been developed overtime, and are applied to design and fabricate products. Heat treatment of metallic materials has been the method of choice applied to improve mechanical properties such as strength, hardness, and toughness, as well as to improve the homogeneity of properties in materials such as corrosion resistance. The molt significant success stories in the application of materials processes involve the heat-treatment of steel. The reasons for this largely lie in the ease with which steel microstructures can be altered by controlled heating and cooling. The objective of computer modeling of materials processes is to maximize on the beneficial factors while keeping to a minimum the negating effects such as components distortion and residual stresses. Computer modeling is a powerful tool in achieving this objective in the sense that with it, the effect of parameters associated with materials processes can be analyzed systematically in order to optimize them before actual production begins. | L.L Meekisho, X Chen Portland State University, P0 Box 751, Portland, Oregon 97207 USA Automated Analysis Corporation, Peoria, IL USA | 2000 | Journal of Shanghai Jiaotong university(Science)2000，5，1： | 10 |
| 2 | Remaining useful life prediction for engineering systems under dynamic operational conditions: A semi-Markov decision process-based approach显示文摘For critical engineering systems such as aircraft and aerospace vehicles, accurate Remaining Useful Life(RUL) prediction not only means cost saving, but more importantly, is of great significance in ensuring system reliability and preventing disaster. RUL is affected not only by a system's intrinsic deterioration, but also by the operational conditions under which the system is operating. This paper proposes an RUL prediction approach to estimate the mean RUL of a continuously degrading system under dynamic operational conditions and subjected to condition monitoring at short equi-distant intervals. The dynamic nature of the operational conditions is described by a discrete-time Markov chain, and their influences on the degradation signal are quantified by degradation rates and signal jumps in the degradation model. The uniqueness of our proposed approach is formulating the RUL prediction problem in a semi-Markov decision process framework, by which the system mean RUL can be obtained through the solution to a limited number of equations. To extend the use of our proposed approach in real applications, different failure standards according to different operational conditions are also considered. The application and effectiveness of this approach are illustrated by a turbofan engine dataset and a comparison with existing results for the same dataset. | Diyin TANG Jinrong CAO Jinsong YU | 2019 | Chinese Journal of Aeronautics2019，32，3： | 3 |
| 3 | Improving Prediction Accuracy of a Rate-Based Model of an MEA-BasedCarbon Capture Process for Large-Scale Commercial Deployment显示文摘Carbon capture and storage (CCS) technology will play a critical role in reducing anthropogenic carbondioxide (CO2) emission from fossil-fired power plants and other energy-intensive processes. However, theincrement of energy cost caused by equipping a carbon capture process is the main barrier to its commer-cial deployment. To reduce the capital and operating costs of carbon capture, great efforts have been madeto achieve optimal design and operation through process modeling, simulation, and optimization. Accuratemodels form an essential foundation for this purpose. This paper presents a study on developing a moreaccurate rate-based model in Aspen Plus for the monoethanolamine (MEA)-based carbon capture processby multistage model validations. The modeling framework for this process was established first. The steady-state process model was then developed and validated at three stages, which included a thermodynamicmodel, physical properties calculations, and a process model at the pilot plant scale, covering a wide rangeof pressures, temperatures, and CO2 loadings. The calculation correlations of liquid density and interfacialarea were updated by coding Fortran subroutines in Aspen Plus. The validation results show that the cor-relation combination for the thermodynamic model used in this study has higher accuracy than those ofthree other key publications and the model prediction of the process model has a good agreement with thepilot plant experimental data. A case study was carried out for carbon capture from a 250 MWe combinedcycle gas turbine (CCGT) power plant. Shorter packing height and lower specific duty were achieved usingthis accurate model. | Xiaobo Luo Meihong Wang | 2017 | Engineering2017，3，2： | 2 |
| 4 | Research on generalized optimization process for mechanical product显示文摘The generalized optimization process for mechanical product is proposed which includes functional optimization phase, conceptual design optimization phase, technical design optimization phase (that is further divided into product modeling phase, optimization process scheduling phase, optimization modeling phase and multi-computer collaborative optimizing phase), and result analysis and evaluation phase. The characteristics of the generalized optimization are incarnated such as oriented to the design of entire system, whole process and overall performance of a product and combined with human intelligent and artificial intelligent optimization. The functions and the achieved strategies of each key phase in the generalized optimization process are discussed. A prototype of the generalized optimization supported system for mechanical product is preliminarily established. | 冯培恩 邱清盈 潘双夏 董黎刚 李善春 | 1999 | Science China(Technological Sciences)1999，42，4： | 2 |
| 5 | 4D Design and Simulation Technologies and Process Design Patterns to Support Lean Construction Methods显示文摘The objective of this ongoing joint research program is to determine how 3D/4D modeling, simulation and visualization of Products (buildings), Organizations and Processes (POP) can support lean construction. Initial findings suggest that Process Design Pattern may have the potential to intuitively support ICT based lean construction. We initiated a 'Process Archeology' in order to reveal the requirements for tools that can support the planning, simulation and control of lean construction methods. First findings show that existing tools provide only limited support and therefore, we started to develop new methodologies and technologies to overcome these shortcomings. Through the introduction of Process Design Patterns, we intent to establish process thinking in the interdisciplinary POP design. Optimized construction processes may be synthesized with semi-automatic methods by applying Process Design Patterns on building structures. By providing process templates that integrate problem solution and expert knowledge, Process Design Patterns may have the potential to ensure high quality process models. | Manfred Breit Manfred Vogel Fritz Hubi Fabian Mrki Micheal Raps | 2008 | Tsinghua Science and Technology2008，13，S1： | 2 |
| 6 | MICROSTRVCTURE SIMULATION AND PROCESS OPTIMIZATION OF TURBINE BLADE CASTINGS显示文摘The probabilistic modeling is applied to calculate microstructural features of the thin complex smprolloy turbine blades cast by the vacuum investment process. The random distribution, orientation and physical mechanism of the nucleation, the growth kinetics of dendrites and the columnar-to-equiaxed transition (CET) are considered.Capitalizing on these simulating schemes, the comprehensive influence of key process variables on the scale and uniformity of grains has been involved quantitatively. The validity of the modeling is confirmed by selection of the optimum process variables. | D.Z.Li Z.Y.Hu Q.Li Y.Y.Li | 1998 | Acta Metallurgica Sinica(English Letters)1998，11，5： | 2 |
| 7 | Towards Production and Energy Coupling System Modeling and Simulation for Energy Optimization in the Process Industry显示文摘The production and energy coupling system is used to mainly present energy flow, material flow, information flow, and their coupling interaction. Through the modeling and simulation of this system, the performance of energy flow can be analyzed and optimized in the process industry. In order to study this system, the component based hybrid Petri net methodology (CpnHPN) is proposed, synthesizing a number of extended Petri net methods and using the concept of energy place, material place, and information place. Through the interface place in CpnHPN, the component based encapsulation is established, which enables the production and energy coupling system to be built, analyzed, and optimized on the multi-level framework. Considering the block and brief simulation for hybrid system, the CpnHPN model is simulated with Simulink/Stateflow. To illustrate the use of the proposed methodology, the application of CpnHPN in the energy optimization of chlorine balance system is provided. | 戴毅茹 王坚 | 2011 | Journal of Donghua University(English Edition)2011，28，2： | 1 |
| 8 | Integrated Multi-view Modeling for the Product Development Process显示文摘1ConcurrentEngineringProductDevelopmentProces(CEPDP)11BackgroundofconcurentengineeringSincethe1980s,concurrentengineering(CE... | 熊光楞 郝力武 彭毅 | 1999 | Tsinghua Science and Technology1999，4，1： | 1 |
| 9 | Analytical Results of Server Loads and Network Load in a General Client/Server System显示文摘AnalyticalResultsofServerLoadsandNetworkLoadinaGeneralClient/ServerSystem￥JinZunhe,WuCheng,WangRan金尊和,吴澄,王然(CIAS-ERC,Tsingbua... | 金尊和 吴澄 王然 | 1996 | Tsinghua Science and Technology1996，1，2： | 1 |
| 10 | Collapse of a Deep Excavated Foundation Pit in the Soft Soils by 3-D FEM显示文摘In view of the collapse of a deep excavated foundation pit of the Xianghu subway underground station in Hangzhou of China,the main features of the accident are analyzed,and the induced factors of the accident are summarized. Then,a 3-D FEM analysis model is created to demonstrate the soil-support structures interaction system,and the effect of the main factors,such as the volume replacement ratio of the bottom soil reinforcing,the asymmetric ground overload,the embedded depth of the diaphragm wall,the shear strength of the bottom soils disturbed by the construction,and the excessive excavation of the bottom soil,are analyzed and compared. The results show that the ineffective original reinforcement plan for the bottom soft soil is the most prominent factor for the accident,and the disturbance effect of the deep excavation on the shear strength of the bottom soft soil is another significant factor for the accident. Meanwhile,if the reinforcement of the bottom soft soil is canceled,an appropriate extension of the diaphragm retaining walls to the under lying harder soil layer can also effectively prevent the collapse of the deep excavated foundation pit. In addition,the partly excessive excavation in the process has a great influence on the axial force of the most nearby horizontal support but few effect on the stability of the diaphragm wall. Thus,the excessive excavation of the bottom soils should not be the direct inducing factor for the accident. To the asymmetric ground overload,it should be the main factor inducing the different damage conditions of the diaphragm walls on different sides. According to the numerical modeling and actual engineering accident condition,the development process of the accident is also identified. | ZHUANG Haiyang XUE Xuchao YU Xu | 2019 | Transactions of Nanjing University of Aeronautics and Astronautics2019，36，1： | 1 |
| 11 | Data-Driven Prediction of Mechanical Properties in Support of Rapid Certification of Additively Manufactured Alloys显示文摘Predicting the mechanical properties of additively manufactured parts is often a tedious process,requiring the integration of multiple stand-alone and expensive simulations.Furthermore,as properties are highly location-dependent due to repeated heating and cooling cycles,the properties prediction models must be run for multiple locations before the part-level performance can be analyzed for certification,compounding the computational expense.This work has proposed a rapid prediction framework that replaces the physics-based mechanistic models with Gaussian process metamodels,a type of machine learning model for statistical inference with limited data.The metamodels can predict the varying properties within an entire part in a fraction of the time while providing uncertainty quantification.The framework was demonstrated with the prediction of the tensile yield strength of Ferrium?PH48S maraging stainless steel fabricated by additive manufacturing.Impressive agreement was found between the metamodels and the mechanistic models,and the computation was dramatically decreased from hours of physics-based simulations to less than a second with metamodels.This method can be extended to predict various materials properties in different alloy systems whose processstructure-property-performance interrelationships are linked by mechanistic models.It is powerful for rapidly identifying the spatial properties of a part with compositional and processing parameter variations,and can support part certification by providing a fast interface between materials models and part-level thermal and performance simulations. | Fuyao Yan Yu-Chin Chan Abhinav Saboo Jiten Shah Gregory BOlson Wei Chen | 2018 | Computer Modeling in Engineering & Sciences2018，，12： | 1 |
| 12 | Investigating the molecular dissolution process of binary solid dispersions by molecular dynamics simulations显示文摘Dissolution molecular mechanism of solid dispersions still remains unclear despite thousands of reports about this technique. The aim of current research was to investigate the molecular dissolution mechanism of solid dispersions by molecular dynamics simulations. The formation of ibuprofen/polymer solid dispersions was modeled by the simulated annealing method. After that, the models of solid dispersions were immersed into the water box with 25–30 ? thicknesses and 50–100 ns MD simulations were performed to all systems.Simulation results showed various dissolution behaviors in different particle sizes and various polymers of solid dispersions. Small-sized particles of solid dispersions dissolved quickly in the water, while the large particles of PEG or PVP-containing solid dispersions gradually swelled in the dissolution process and drug molecules may aggregate together. In the dissolution process, the carboxylic groups of ibuprofen molecules turned its direction from polymer molecules to external water box and then the drug molecules left the polymer coils.At the same time, polymer coils gradually relaxed and became free polymer chains in the solution. In addition, solid dispersion with poloxamer could prevent the precipitate of drug molecules in the dissolution process, which is different from those of PEG or PVPcontaining systems. This research provided us clear images of dissolution process of solid dispersions at the molecular level. | TengIan Chan Defang Ouyang | 2018 | Asian Journal of Pharmaceutical Sciences2018，13，3： | 1 |
| 13 | Product Development Process Modeling显示文摘IntroductionMoreandmoreresearchworkisfocusedonproductdevelopmentprocesimplementation,teamorganization,logistics,thekeycharact... | 张珂殊 陈加栋 熊光楞 | 1999 | Tsinghua Science and Technology1999，4，2： | 1 |
| 14 | Software Process Modeling with UML in Development of Medical Insurance MIS显示文摘This paper describes how to use the Unified Modeling Language (UML) to modeling software processes in medical insurance MIS, and compares UML Modeling method with classic PO(Process Oriented) Modeling method. It indicates that the whole performance of application system model described by UML is much better than the one described by PO. | Li Si guang, Lin Zi yu ,Tang Sheng qun, Xiao Shao wu State Key Lab of Software Engineering, Wuhan University, Wuhan 430072,China | 2001 | Wuhan University Journal of Natural Sciences2001，6，Z1： | 1 |
| 15 | Discrete Element Modeling of Tangjiagou Two-Branch Rock Avalanche Triggered by the 2013 Lushan MW6.6 Earthquake,China显示文摘Two branches of Tangjiagou rock avalanche were triggered by Lushan earthquake in Sichuan Province,China on April 20th,2013.The rock avalanche has transported about 1500000 m3 of sandstone from the source area.Based on discrete element modeling,this study simulates the deformation,failure and movement process of the rock avalanche.Under seismic loading,the mechanism and process of deformation,failure,and runout of the two branches are similar.In detail,the stress concentration occur firstly on the top of the mountain ridge,and accordingly,the tensile deformation appears.With the increase of seismic loading,the strain concentration zone extends in the forward and backward directions along the slipping surface,forming a locking segment.As a result,the slipping surface penetrates and the slide mass begin to slide down with high speed.Finally,the avalanche accumulates in the downstream and forms a small barrier lake.Modeling shows that a number of rocks on the surface exhibit patterns of horizontal throwing and vertical jumping under strong ground shaking.We suggest that the movement of the rock avalanche is a complicated process with multiple stages,including formation of the two branches,high-speed sliding,transformation into debris flows,further movement and collision,accumulation,and the final steady state.Topographic amplification effects are also revealed based on acceleration and velocity of special monitoring points.The horizontal and vertical runout distances of the surface materials are much greater than those of the internal materials.Besides,the sliding duration is also longer than that of the internal rock mass. | CAO Yanbo XU Chong NAN Yalin | 2020 | Earthquake Research in China2020，34，1： | 1 |
| 16 | Effect of varying spatial orientations on build time requirements for FDM process: A case study显示文摘In this research, effect of varying spatial orientations on the build time requirements for fused deposition modelling process is studied. Constructive solid geometry cylindrical primitive is taken as work piece and modeling is accomplished for it. Response surface methodology is used to design the experiments and obtain statistical models for build time requirements corresponding to different orientations of the given primitive in modeller build volume. Contour width, air gap, slice height, raster width, raster angle and angle of orientation are treated as process parameters. Percentage contribution of individual process parameter is found to change for build time corresponding to different spatial orientations. Also, the average of build time requirement changes with spatial orientation. This paper attempts to clearly discuss and describe the observations with an aim to develop a clear understanding of effect of spatial variations on the build time for Fused Deposition Modelling process. This work is an integral part of process layout optimization and these results can effectively aid designers specially while tackling nesting issues. | Sandeep Rathee Manu Srivastava Sachin Maheshwari Arshad Noor Siddiquee | 2017 | Defence Technology(防务技术)2017，13，2： | 1 |
| 17 | Process modeling issues arising in zinc hydrometallurgy显示文摘As typical nonferrous metallurgical processes,hydrometallurgical processes are used extensively to recover elemental zinc from raw ores.Accurate system models must be established to increase automation of hydrometallurgical zinc processes with strict energy and environmental requirements.However,the modeling of such processes is hindered by their complex production characteristics and process mechanisms.In this review,we summarize some process modeling issues arising in zinc hydrometallurgy and provide several possible solutions from the perspective of our research work. | YANG ChunHua ZHOU XiaoJun ZHU HongQiu LI YongGang GUI WeiHua | 2015 | Science Foundation in China2015，23，2： | 1 |
| 18 | Object-oriented Battlefield Environment Simulation Process Object Model Based on Task-driven显示文摘Battlefield environment simulation process is an important part of battlefield environment information support, which needs to be built around the task process. At present, the interoperability between battlefield environment simulation system and command and control system is still imperfect, and the traditional simulation data model cannot meet war fighters’ high-efficient and accurate understanding and analysis on battlefield environment’s information. Therefore, a kind of task-orientated battlefield environment simulation process model needs to be construed to effectively analyze the key information demands of the command and control system. The structured characteristics of tasks and simulation process are analyzed, and the simulation process concept model is constructed with the method of object-orientated. The data model and formal syntax of GeoBML are analyzed, and the logical model of simulation process is constructed with formal language. The object data structure of simulation process is defined and the object model of simulation process which maps tasks is constructed. In the end, the battlefield environment simulation platform modules are designed and applied based on this model, verifying that the model can effectively express the real-time dynamic correlation between battlefield environment simulation data and operational tasks. | Jie ZHU Xiong YOU Qing XIA Hongjun ZHANG | 2019 | Journal of Geodesy and Geoinformation Science2019，2，3： | 1 |
| 19 | Application of Random Process in Soil Profile Modeling显示文摘When using the random process in soil profile modeling, the stationary and ergodicity of thesoil properties in the profile must be tested. This paper describes a procedure for stationary and ergodicity testing. Numerical examples were given for demonstration. A log-cosine function is suggested to simulate the correlation function, which has been proved to be good for soil profile modeling. | Yan Shuwang , Jia Xiaoli and Deng Weidong Professor, Dept. of Hydraulic Eng., Tianjin University, Tianjin 300072Graduate student, Dept. of Hydraulic Eng., Tianjin University, Tianjin 300072Senior Engineer, Chongqing Institute of Highway Science | 1994 | China Ocean Engineering1994，9，4： | 0 |
| 20 | Simulation and Training Package on Corex Process显示文摘A software package has been developed for simulation on the Corex process. The simulation and training package on the process of shaft furnace using Corex off gas were introduced. The package consists of three main modules, namely the numerical simulation, the system modeling and optimization, and the training module, which are integrated with graphical interfaces. In addition, the equipment starting and stopping operation and typical trouble-shooting were also included in the package, whereby a practical environment can be established for training of operation and management stuff. | XU Hai-chuan QI Yuan-hong YAN Ding-liu ZHOU Yu-sheng CAO Chuan-gen | 2002 | Journal of Iron and Steel Research(International)2002，9，1： | 0 |
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