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Vector soliton and noise-like pulse generation using a Ti₃C₂ MXene material in a fiber laser Research

Dongsu Jeong, Dohyun Kim, Yoonho Seo,jdsvs2979@korea.ac.kr,davydo@korea.ac.kr,yoonhoseo@korea.ac.kr

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 3, Pages 287-436 doi: 10.1631/FITEE.1900649

Abstract: Then, a PBM system based on this method is implemented.

Keywords：武器系统；基于过程的建模（PBM）；作战场景；交互分析；元模型；Petri网

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Research of Collaborative Design Process Management Based on Activity Method

Hao Yongping,Zhang Jianfu,Shi Chunjing,Shao Weiping

Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 69-73

Abstract:

By analyzing the components of an activity and the relationship of the process modeling, a topological structure of the collaborative design process management system was presented. According to the situation and characteristic of the product development process, a number of the important issues about process modeling, AU design environment, process monitoring and the data exchange between systems were discussed. At last, a user interface of the collaborative design environment and the display of process monitoring are also given.

Keywords： activity theory activity unit process modeling design process management

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Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 65-70

Abstract:

By analyzing certain fuzzy models for production scheduling, the author proposes a general novel fuzzification method based on fuzzy programming for batching production processes and offers a modeling method with fuzzy coefficients. Two fuzzy algorithms based on genetic algorithm, i. e. , fuzzy simulation and SFA algorithm, are adopted to solve the fuzzy model. The selection of membership function is flexible, and a proper expression of fuzziness is adopted. Finally, a numerical example demonstrates that the modeling method is valid.

Keywords： production scheduling fuzzy programming batching production processes membership function

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Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9, Pages 1234-1246 doi: 10.1631/FITEE.2000426

Abstract:

It is necessary to construct an adaptive model to cope with process non-stationaries. In this study, a novel quality-related locally weighted soft sensing method is designed for non-stationary processes based on a Bayesian network with . Specifically, a is proposed where quality-oriented are extracted and further applied to a double-layer similarity measurement algorithm. The proposed soft sensing method tries to find a general approach for non-stationary processes via quality-related information where the concepts of local similarities and window confidence are explained in detail. The performance of the developed method is demonstrated by application to a numerical example and a debutanizer column. It is shown that the proposed method outperforms competitive methods in terms of the accuracy of predicting key quality variables.

Keywords：软测量；有监督贝叶斯网络；隐变量；局部加权建模；质量预测

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Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design Perspective

Teng Zhou, Rafiqul Gani, Kai Sundmacher

Engineering 2021, Volume 7, Issue 9, Pages 1231-1238 doi: 10.1016/j.eng.2020.12.022

Abstract:

The world’s increasing population requires the process industry to produce food, fuels, chemicals, and consumer products in a more efficient and sustainable way. Functional process materials lie at the heart of this challenge. Traditionally, new advanced materials are found empirically or through trial-and-error approaches. As theoretical methods and associated tools are being continuously improved and computer power has reached a high level, it is now efficient and popular to use computational methods to guide material selection and design. Due to the strong interaction between material selection and the operation of the process in which the material is used, it is essential to perform material and process design simultaneously. Despite this significant connection, the solution of the integrated material and process design problem is not easy because multiple models at different scales are usually required. Hybrid modeling provides a promising option to tackle such complex design problems. In hybrid modeling, the material properties, which are computationally expensive to obtain, are described by data-driven models, while the well-known process-related principles are represented by mechanistic models. This article highlights the significance of hybrid modeling in multiscale material and process design. The generic design methodology is first introduced. Six important application areas are then selected: four from the chemical engineering field and two from the energy systems engineering domain. For each selected area, state-ofthe- art work using hybrid modeling for multiscale material and process design is discussed. Concluding remarks are provided at the end, and current limitations and future opportunities are pointed out.

Keywords： Data-driven Surrogate model Machine learning Hybrid modeling Material design Process optimization

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Modeling and Experimental Validation of the Electron Beam Selective Melting Process

Wentao Yan, Ya Qian, Weixin Ma, Bin Zhou, Yongxing Shen, Feng Lin

Engineering 2017, Volume 3, Issue 5, Pages 701-707 doi: 10.1016/J.ENG.2017.05.021

Abstract:

Electron beam selective melting (EBSM) is a promising additive manufacturing (AM) technology. The EBSM process consists of three major procedures: ① spreading a powder layer, ② preheating to slightly sinter the powder, and ③ selectively melting the powder bed. The highly transient multi-physics phenomena involved in these procedures pose a significant challenge for in situ experimental observation and measurement. To advance the understanding of the physical mechanisms in each procedure, we leverage high-fidelity modeling and post-process experiments. The models resemble the actual fabrication procedures, including ① a powder-spreading model using the discrete element method (DEM), ② a phase field (PF) model of powder sintering (solid-state sintering), and ③ a powder-melting (liquid-state sintering) model using the finite volume method (FVM). Comprehensive insights into all the major procedures are provided, which have rarely been reported. Preliminary simulation results (including powder particle packing within the powder bed, sintering neck formation between particles, and single-track defects) agree qualitatively with experiments, demonstrating the ability to understand the mechanisms and to guide the design and optimization of the experimental setup and manufacturing process.

Keywords： Modeling Electron beam Additive manufacturing Powder scale

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The Military Large-scale Complex System's Modeling and Simulation Based on Agent

Li Honggang,Lü Hui,Liu Xingtang

Strategic Study of CAE 2004, Volume 6, Issue 8, Pages 40-44

Abstract:

First of all this paper introduces the composition and the principle of agent and makes thorough analysis of modeling process of military large-scale complex system, then presents the modeling and simulating result of the military large-scale complex system, and makes an analysis of the simulating result.

Keywords： complex system agent modeling and simulation

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Control for Intelligent Manufacturing: A Multiscale Challenge

Han-Xiong Li, Haitao Si

Engineering 2017, Volume 3, Issue 5, Pages 608-615 doi: 10.1016/J.ENG.2017.05.016

Abstract:

The Made in China 2025 initiative will require full automation in all sectors, from customers to production. This will result in great challenges to manufacturing systems in all sectors. In the future of manufacturing, all devices and systems should have sensing and basic intelligence capabilities for control and adaptation. In this study, after discussing multiscale dynamics of the modern manufacturing system, a five-layer functional structure is proposed for uncertainties processing. Multiscale dynamics include: multi-time scale, space-time scale, and multi-level dynamics. Control action will differ at different scales, with more design being required at both fast and slow time scales. More quantitative action is required in low-level operations, while more qualitative action is needed regarding high-level supervision. Intelligent manufacturing systems should have the capabilities of flexibility, adaptability, and intelligence. These capabilities will require the control action to be distributed and integrated with different approaches, including smart sensing, optimal design, and intelligent learning. Finally, a typical jet dispensing system is taken as a real-world example for multiscale modeling and control.

Keywords： System modeling Process control Artificial intelligence Manufacturing Jet dispensing

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Anon-stationary channelmodel for 5Gmassive MIMOsystems Article

Jian-qiao CHEN, Zhi ZHANG, Tian TANG, Yu-zhen HUANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12, Pages 2101-2110 doi: 10.1631/FITEE.1700028

Abstract: We propose a novel channel model for massive multiple-input multiple-out (MIMO) communication systems that incorporate the spherical wave-front assumption and non-stationary properties of clusters on both the array and time axes. Because of the large dimension of the antenna array in massive MIMO systems, the spherical wave-front is assumed to characterize near-field effects resulting in angle of arrival (AoA) shifts and Doppler frequency variations on the antenna array. Additionally, a novel visibility region method is proposed to capture the non-stationary properties of clusters at the receiver side. Combined with the birth-death process, a novel cluster evolution algorithm is proposed. The impacts of cluster evolution and the spherical wave-front assumption on the statistical properties of the channel model are investigated. Meanwhile, corresponding to the theoretical model, a simulation model with a finite number of rays that capture channel characteristics as accurately as possible is proposed. Finally, numerical analysis shows that our proposed non-stationary channel model is effective in capturing the characteristics of a massive MIMO channel.

Keywords： Massive MIMO Spherical wave-front assumption Non-stationary property Birth-death process Visibility region method

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CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach Article

Jihong Chen, Jianzhong Yang, Huicheng Zhou, Hua Xiang, Zhihong Zhu, Yesong Li, Chen-Han Lee, Guangda Xu

Engineering 2015, Volume 1, Issue 2, Pages 247-260 doi: 10.15302/J-ENG-2015054

Abstract:

Building cyber-physical system (CPS) models of machine tools is a key technology for intelligent manufacturing. The massive electronic data from a computer numerical control (CNC) system during the work processes of a CNC machine tool is the main source of the big data on which a CPS model is established. In this work-process model, a method based on instruction domain is applied to analyze the electronic big data, and a quantitative description of the numerical control (NC) processes is built according to the G code of the processes. Utilizing the instruction domain, a work-process CPS model is established on the basis of the accurate, real-time mapping of the manufacturing tasks, resources, and status of the CNC machine tool. Using such models, case studies are conducted on intelligent-machining applications, such as the optimization of NC processing parameters and the health assurance of CNC machine tools.

Keywords： cyber-physical system (CPS) big data computer numerical control (CNC) machine tool electronic data of work processes instruction domain intelligent machining

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基于ARIMA和Kalman滤波的道路交通状态实时预测 Article

东伟徐,永东王,利民贾,勇秦,宏辉董

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2, Pages 287-302 doi: 10.1631/FITEE.1500381

Abstract: 道路交通流预测不仅可以为出行者提供实时有效的信息，而且可以帮助他们选择最佳路径，减少出行时间，实现道路交通路径诱导，缓解交通拥堵。本文提出了一种基于ARIMA模型和Kalman滤波算法的道路交通流预测方法。首先，基于道路交通历史数据建立时间序列的ARIMA模型。其次，结合ARIMA模型和Kalman滤波法构建道路交通预测算法，获取Kalman滤波的测量方程和更新方程。然后，基于历史道路交通数据进行算法的参数设定。最后，以北京的四条路段作为案例，对所提出的方法进行了分析。实验结果表明，基于ARIMA模型和Kalman滤波的实时道路交通状态预测方法是可行的，并且可以获得很高的精度。

Keywords： ARIMA模型；Kalman滤波；建模；训练；预测

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A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers

Ian David Lockhart Bogle

Engineering 2017, Volume 3, Issue 2, Pages 161-165 doi: 10.1016/J.ENG.2017.02.003

Abstract:

The challenges posed by smart manufacturing for the process industries and for process systems engineering (PSE) researchers are discussed in this article. Much progress has been made in achieving plant- and site-wide optimization, but benchmarking would give greater confidence. Technical challenges confronting process systems engineers in developing enabling tools and techniques are discussed regarding flexibility and uncertainty, responsiveness and agility, robustness and security, the prediction of mixture properties and function, and new modeling and mathematics paradigms. Exploiting intelligence from big data to drive agility will require tackling new challenges, such as how to ensure the consistency and confidentiality of data through long and complex supply chains. Modeling challenges also exist, and involve ensuring that all key aspects are properly modeled, particularly where health, safety, and environmental concerns require accurate predictions of small but critical amounts at specific locations. Environmental concerns will require us to keep a closer track on all molecular species so that they are optimally used to create sustainable solutions. Disruptive business models may result, particularly from new personalized products, but that is difficult to predict.

Keywords： Smart manufacturing Process systems engineering Uncertainty Flexibility Optimization Model-based control

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Steel Design by Advanced Analysis: Material Modeling and Strain Limits Research Article

Leroy Gardner, Xiang Yun, Andreas Fieber, Lorenzo Macorini

Engineering 2019, Volume 5, Issue 2, Pages 243-249 doi: 10.1016/j.eng.2018.11.026

Abstract:

Structural analysis of steel frames is typically performed using beam elements. Since these elements are unable to explicitly capture the local buckling behavior of steel cross-sections, traditional steel design specifications use the concept of cross-section classification to determine the extent to which the strength and deformation capacity of a cross-section are affected by local buckling. The use of plastic design methods are restricted to Class 1 cross-sections, which possess sufficient rotation capacity for plastic hinges to develop and a collapse mechanism to form. Local buckling prevents the development of plastic hinges with such rotation capacity for cross-sections of higher classes and, unless computationally demanding shell elements are used, elastic analysis is required. However, this article demonstrates that local buckling can be mimicked effectively in beam elements by incorporating the continuous strength method (CSM) strain limits into the analysis. Furthermore, by performing an advanced analysis that accounts for both geometric and material nonlinearities, no additional design checks are required. The positive influence of the strain hardening observed in stocky cross-sections can also be harnessed, provided a suitably accurate stress–strain relationship is adopted; a quad-linear material model for hot-rolled steels is described for this purpose. The CSM strain limits allow cross-sections of all slenderness to be analyzed in a consistent advanced analysis framework and to benefit from the appropriate level of load redistribution. The proposed approach is applied herein to individual members, continuous beams, and frames, and is shown to bring significant benefits in terms of accuracy and consistency over current steel design specifications.

Keywords： Advanced analysis Continuous strength method Local buckling Material modeling Strain limits

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Research on Process Reconfiguration With DSM in Collaborative Design

Xu Luning´,Zhang Heming,Zhang Yongkang

Strategic Study of CAE 2006, Volume 8, Issue 5, Pages 52-57

Abstract:

Design structure matrix is applied to the collaborative design process for complex products. The recognition problem of coupling activities in DSM can be solved by graph theory knowledge. And a method for reconfiguration of DSM blocking is presented according to the principles. Then, reengineering for a design process is proposed by decomposing and tearing the blocked activities to shorten the cycle of design and reduce the cost of development. Finally, a case, the aircraft design process reconfiguration with DSM, is presented.

Keywords： DSM (design structure matrix) process reconfiguration coupling tearing

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Study on the Fermentation Processes at Multi-levels in Bioreactor and Its Application for Special Purposes——Optimization and Scaling Up of the Fermentation Process Based on the Parameter Correlation Method

Zhang siliang

Strategic Study of CAE 2001, Volume 3, Issue 8, Pages 37-45

Abstract:

After reviewing the basic idea, methods of optimization and scale up for fermentation process adopted by many researchers for quite a long time, the author believes that the static optimizing method based on the kinetic conception with conventional optimum operating condition, in fact, is only an extension of kinetic conception of chemical engineering to the fermentation process. Such being the case, the existence of cellular metabolic flux is often neglected. Thus, the viewpoint to emphasize the metabolic flux analysis and control in bioreactor is put forward in this paper. Through several further experiments, the optimization technology of fermentation process at multi-levels based on the parameter correlation methodology and scaling-up strategy with multi parameters modulation have been realized. With the development of process sensing and computer technology, the new concept bioreactor (FUS-50L(A)) is used for fermentation processes optimization and scale up. This new bioreactor aimed at the measurement of material flux has been successfully applied to the fermentation of penicillin, erythromycin, aureomycin, inosine, guanosine, as well as the cultivation of recombinant human serum albumin, malaria vaccine, etc. As a result, thirty percent to several folds increase in titers were achieved. The process can be directly used for the scale up of Permentor from 50 liters to several hundred liters, even to 100 m³.

Keywords： bioreactor fermentation optimization scale up