资源类型

期刊论文 847

会议视频 16

会议专题 1

年份

2024 1

2023 58

2022 64

2021 80

2020 45

2019 60

2018 62

2017 61

2016 30

2015 38

2014 41

2013 25

2012 21

2011 31

2010 47

2009 31

2008 36

2007 35

2006 15

2005 11

展开 ︾

关键词

过程强化 6

人工智能 4

仿真技术 4

优化 4

增材制造 4

建模 4

机器学习 4

不确定性 3

仿真 3

智能制造 3

深度学习 3

DSM（设计结构矩阵） 2

Inconel 718合金 2

SWAT模型 2

三峡工程 2

代理模型 2

催化剂 2

催化裂化 2

凝固过程 2

展开 ︾

检索范围：

排序： 展示方式：

Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

《工程管理前沿（英文）》 2017年 第4卷 第3期   页码 295-303 doi: 10.15302/J-FEM-2017047

摘要： This paper presents a review of methodologies for analyzing stochastic manufacturing and service systems. On the basis of the scale and level of details of operations, we can study stochastic systems using micro-, meso-, and macro-scopic models. Such a classification unifies stochastic modeling theory. For each model type, we highlight the advantages and disadvantages and the applicable situations. Micro-scopic models are based on quasi-birth-and-death process because of the phase-type distributed service times and/or Markov arrival processes. Such models are appropriate for modeling the detailed operations of a manufacturing system with relatively small number of servers (production facilities). By contrast, meso-scopic and macro-scopic models are based on the functional central limit theorem (FCLT) and functional strong law of large numbers (FSLLN), respectively, under heavy-traffic regimes. These high-level models are appropriate for modeling large-scale service systems with many servers, such as call centers or large service networks. This review will help practitioners select the appropriate level of modeling to enhance their understanding of the dynamic behavior of manufacturing or service systems. Enhanced understanding will ensure that optimal policies can be designed to improve system performance. Researchers in operation analytics and optimization of manufacturing and logistics also benefit from such a review.

关键词： stochastic modeling     QBD process     PH distribution     heavy traffic limits     diffusion process    

HTML PDF 收藏

Analyzing the energy intensity and greenhouse gas emission of Canadian oil sands crude upgrading through processmodeling and simulation

Anton ALVAREZ-MAJMUTOV,Jinwen CHEN

《化学科学与工程前沿（英文）》 2014年 第8卷 第2期   页码 212-218 doi: 10.1007/s11705-014-1424-z

摘要： This paper presents an evaluation of the energy intensity and related greenhouse gas/CO emissions of integrated oil sands crude upgrading processes. Two major oil sands crude upgrading schemes currently used in Canadian oil sands operations were investigated: coking-based and hydroconversion-based. The analysis, which was based on a robust process model of the entire process, was constructed in Aspen HYSYS and calibrated with representative data. Simulations were conducted for the two upgrading schemes in order to generate a detailed inventory of the required energy and utility inputs: process fuel, steam, hydrogen and power. It was concluded that while hydroconversion-based scheme yields considerably higher amount of synthetic crude oil (SCO) than the coker-based scheme (94 wt-% vs. 76 wt-%), it consumes more energy and is therefore more CO -intensive (413.2 kg CO /m vs. 216.4 kg CO /m ). This substantial difference results from the large amount of hydrogen consumed in the ebullated-bed hydroconverter in the hydroconversion-based scheme, as hydrogen production through conventional methane steam reforming is highly energy-intensive and therefore the major source of CO emission. Further simulations indicated that optimization of hydroconverter operating variables had only a minor effect on the overall CO emission due to the complex trade-off effect between energy inputs.

关键词： Oil sands crude upgrading     hydroconversion     process modeling     greenhouse gas emissions    

HTML PDF 收藏

A neural network-based production process modeling and variable importance analysis approach in corn

《化学科学与工程前沿（英文）》 2023年 第17卷 第3期   页码 358-371 doi: 10.1007/s11705-022-2190-y

摘要： Corn to sugar process has long faced the risks of high energy consumption and thin profits. However, it’s hard to upgrade or optimize the process based on mechanism unit operation models due to the high complexity of the related processes. Big data technology provides a promising solution as its ability to turn huge amounts of data into insights for operational decisions. In this paper, a neural network-based production process modeling and variable importance analysis approach is proposed for corn to sugar processes, which contains data preprocessing, dimensionality reduction, multilayer perceptron/convolutional neural network/recurrent neural network based modeling and extended weights connection method. In the established model, dextrose equivalent value is selected as the output, and 654 sites from the DCS system are selected as the inputs. LASSO analysis is first applied to reduce the data dimension to 155, then the inputs are dimensionalized to 50 by means of genetic algorithm optimization. Ultimately, variable importance analysis is carried out by the extended weight connection method, and 20 of the most important sites are selected for each neural network. The results indicate that the multilayer perceptron and recurrent neural network models have a relative error of less than 0.1%, which have a better prediction result than other models, and the 20 most important sites selected have better explicable performance. The major contributions derived from this work are of significant aid in process simulation model with high accuracy and process optimization based on the selected most important sites to maintain high quality and stable production for corn to sugar processes.

关键词： big data     corn to sugar factory     neural network     variable importance analysis    

HTML PDF 收藏

Integration of molecular dynamic simulation and free volume theory for modeling membrane VOC/gas separation

Bo Chen, Yan Dai, Xuehua Ruan, Yuan Xi, Gaohong He

《化学科学与工程前沿（英文）》 2018年 第12卷 第2期   页码 296-305 doi: 10.1007/s11705-018-1701-3

摘要： Gas membrane separation process is highly unpredictable due to interacting non-ideal factors, such as composition/pressure-dependent permeabilities and real gas behavior. Although molecular dynamic (MD) simulation can mimic those complex effects, it cannot precisely predict bulk properties due to scale limitations of calculation algorithm. This work proposes a method for modeling a membrane separation process for volatile organic compounds by combining the MD simulation with the free volume theory. This method can avoid the scale-up problems of the MD method and accurately simulate the performance of membranes. Small scale MD simulation and pure gas permeation data are employed to correlate pressure-irrelevant parameters for the free volume theory; by this approach, the microscopic effects can be directly linked to bulk properties (non-ideal permeability), instead of being fitted by a statistical approach. A lab-scale hollow fiber membrane module was prepared for the model validation and evaluation. The comparison of model predictions with experimental results shows that the deviations of product purity are reduced from 10% to less than 1%, and the deviations of the permeate and residue flow rates are significantly reduced from 40% to 4%, indicating the reliability of the model. The proposed method provides an efficient tool for process engineering to simulate the membrane recovery process.

关键词： membrane vapor separation     membrane process modeling     process engineering     free volume theory     volatile organic compound    

HTML PDF 收藏

Electrocoagulation process for the treatment of metal-plating wastewater: Kinetic modeling and energy

Fatih Ilhan, Kubra Ulucan-Altuntas, Yasar Avsar, Ugur Kurt, Arslan Saral

《环境科学与工程前沿（英文）》 2019年 第13卷 第5期 doi: 10.1007/s11783-019-1152-1

摘要： The wastewater from industrial area was treated by EC via Fe and Al electrodes. Cu, Ni, Cr and Zn were highly removed at the first minutes, simultaneously. Pseudo-2nd-order was found to be more suitable for kinetics. Adsorption capacities based on kinetic modeling were observed as Cr>Cu>Ni>Zn. The chemical cost in the case of pH adjustment after EC was less as 3.83 $/m3. It is known that wastewater produced by the metal-plating industry contains several heavy metals, which are acidic in nature and therefore toxic for the environment and for living creatures. In particular, heavy metals enter the food chain and accumulate in vital organs and cause serious illness. The precipitation of these metals is mostly achieved by pH adjustment, but as an alternative to this method, the electrocoagulation process has investigated in this study using iron and aluminum electrodes. The effects of the pH adjustment on removal before and after the electrocoagulation process were investigated, and cost analyses were also compared. It was observed that a high proportion of removal was obtained during the first minutes of the electrocoagulation process; thus, the current density did not have a great effect. In addition, the pH adjustment after the electrocoagulation process using iron electrodes, which are 10% more effective than aluminum electrodes, was found to be much more efficient than before the electrocoagulation process. In the process where kinetic modeling was applied, it was observed that the heavy metal removal mechanism was not solely due to the collapse of heavy metals at high pH values, and with this modeling, it was seen that this mechanism involved adsorption by iron and aluminum hydroxides formed during the electrocoagulation process. When comparing the ability of heavy metals to be adsorbed, the sequence was observed to be Cr>Cu>Ni>Zn, respectively.

关键词： Electrochemical treatment     Heavy metals     Kinetic modeling     Pseudo first order kinetic     Pseudo second order kinetic    

HTML PDF 收藏

Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

《结构与土木工程前沿（英文）》 2013年 第7卷 第3期   页码 276-287 doi: 10.1007/s11709-013-0207-9

摘要： This paper describes an inverse Gaussian process-based model to characterize the growth of metal-loss corrosion defects on energy pipelines. The model parameters are evaluated using the Bayesian methodology by combining the inspection data obtained from multiple inspections with the prior distributions. The Markov Chain Monte Carlo (MCMC) simulation techniques are employed to numerically evaluate the posterior marginal distribution of each individual parameter. The measurement errors associated with the ILI tools are considered in the Bayesian inference. The application of the growth model is illustrated using an example involving real inspection data collected from an in-service pipeline in Alberta, Canada. The results indicate that the model in general can predict the growth of corrosion defects reasonably well. Parametric analyses associated with the growth model as well as reliability assessment of the pipeline based on the growth model are also included in the example. The proposed model can be used to facilitate the development and application of reliability-based pipeline corrosion management.

关键词： pipeline     metal-loss corrosion     inverse Gaussian process     measurement error     hierarchical Bayesian     Markov Chain Monte Carlo (MCMC)    

HTML PDF 收藏

Catalytic process modeling and sensitivity analysis of alkylation of benzene with ethanol over MIL-101

Ehsan Rahmani, Mohammad Rahmani

《化学科学与工程前沿（英文）》 2020年 第14卷 第6期   页码 1100-1111 doi: 10.1007/s11705-019-1891-3

摘要： A solvothermal method was used to synthesize MIL-101(Fe) and MIL-88(Fe), which were used for alkylation of benzene. The synthesized catalysts were characterized by X-ray diffraction, Fourier transform infrared spectroscopy, field emission scanning electron microscope, dynamic light scattering, and BET techniques. Metal-organic frameworks (MOFs) were modeled to investigate the catalytic performance and existence of mass transfer limitations. Calculated effectiveness factors revealed absence of internal and external mass transfer. Sensitivity analysis revealed best operating conditions over MIL-101 at 120°C and 5 bar and over MIL-88 at 142°C and 9 bar.

关键词： MOFs     alkylation     ethylbenzene     catalysts pellet model     kinetic model     sensitivity analysis    

HTML PDF 收藏

Hydrologic experiments and modeling of two laboratory bioretention systems under different boundary conditions

Ruifen Liu, Elizabeth Fassman-Beck

《环境科学与工程前沿（英文）》 2017年 第11卷 第4期 doi: 10.1007/s11783-017-0951-5

摘要： Hydrologic performance of bioretention systems is significantly influenced by the media composition and underdrain configuration. This research measured hydrologic performance of column-scale bioretention systems during a synthetic design storm of 25.9 mm, assuming a system area:catchment area ratio of 5%. The laboratory experiments involved two different engineered media and two different drainage configurations. Results show that the two engineered media with different sand aggregates were able to retain about 36% of the inflow volume with free drainage configuration. However, the medium with marine sand is better at delaying the occurrence of drainage than the one with pumice sand, denoting the better detention ability of the former. For both engineered media, an underdrain configuration with internal water storage (IWS) zone lowered drainage volume and peak drainage rate as well as delayed the occurrence of drainage and peak drainage rate, as compared to a free drainage configuration. The USEPA SWMM v5.1.11 model was applied for the free drainage configuration case, and there is a reasonable fit between observed and modeled drainage-rates when media-specific characteristics are available. For the IWS drainage configuration case, air entrapment was observed to occur in the engineered medium with marine sand. Filling of an IWS zone is most likely to be influenced by many factors, such as the structure of the bioretention system, medium physical and hydraulic properties, and inflow characteristics. More research is needed on the analysis and modeling of hydrologic process in bioretention with IWS drainage configuration.

关键词： Bioretention     Hydrologic process     Underdrain configuration     SWMM     Modeling    

HTML PDF 收藏

Erratum to ‘‘Modeling and Experimental Validation of the Electron Beam Selective MeltingProcess” [Engineering 3 (2017) 701–707] Erratum

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

《工程（英文）》 2018年 第4卷 第1期   页码 164-164 doi: 10.1016/j.eng.2017.12.012

HTML PDF 收藏

Identification of resistant pharmaceuticals in ozonation using QSAR modeling and their fate in electro-peroxoneprocess

《环境科学与工程前沿（英文）》 2021年 第15卷 第5期 doi: 10.1007/s11783-021-1394-6

摘要：

• Effect of converting ozonation to E-peroxone was studied on pharmaceutical removal.

关键词： Ozone     Electro-peroxone     Wastewater     Quantitative structure activity relationship     Advanced oxidation processes    

HTML PDF 收藏

Kinetic study of the methanol to olefin process on a SAPO-34 catalyst

Mehdi SEDIGHI,Kamyar KEYVANLOO

《化学科学与工程前沿（英文）》 2014年 第8卷 第3期   页码 306-311 doi: 10.1007/s11705-014-1440-z

摘要： In this paper, a new kinetic model for methanol to olefin process over SAPO-34 catalyst was developed using elementary step level. The kinetic model fits well to the experimental data obtained in a fixed bed reactor. Using this kinetic model, the effect of the most important operating conditions such as temperature, pressure and methanol space-time on the product distribution has been examined. It is shown that the temperature ranges between 400 °C and 450 °C is appropriate for propene production while the medium temperature (450 °C) is favorable for total olefin yield which is equal to 33%. Increasing the reactor pressure decreases the ethylene yield, while medium pressure is favorable for the propylene yield. The result shows that the ethylene and propylene and consequently the yield of total olefins increase to approximately 35% with decreasing the molar ratio of inlet water to methanol.

关键词： methanol to olefin     SAPO-34     kinetic modeling     elementary step    

HTML PDF 收藏

多尺度材料与过程设计的数据驱动和机理混合建模方法 Perspective

周腾, Rafiqul Gani, Kai Sundmacher

《工程（英文）》 2021年 第7卷 第9期   页码 1231-1238 doi: 10.1016/j.eng.2020.12.022

摘要：

世界人口的不断增长要求加工业以更高效和更可持续的方式生产食品、燃料、化学品和消费品。功能性过程材料是这一挑战的核心。传统上，人们根据经验或者通过反复试验的方法来发现新型先进材料。随着理论方法和相关工具的不断改进和计算机能力的提高，现在流行使用计算方法来指导材料选择和设计，这种方法也非常有效。由于材料选择与材料使用的过程操作之间存在很强的相互作用，必须同时进行材料设计和过程设计。尽管有这种重要联系，但由于通常需要使用不同规模的多个模型，材料和过程的集成设计并不容易。混合建模为解决此类复杂的设计问题提供了一个有前景的选择。在混合建模中，用数据驱动模型描述原本计算成本高昂的材料特性，而用机理模型表示众所周知的过程相关原理。本文重点介绍了混合建模在多尺度材料和过程设计中的重要性。首先介绍通用设计方法，然后选择了六个重要的应用领域：四个来自化学工程领域，两个来自能源系统工程领域。对于选定的每个领域，讨论了使用混合建模进行多尺度材料和过程设计的最新研究。最后，本文给出了结论，指出当前研究的局限性和未来的发展空间。

关键词： 数据驱动     代理模型     机器学习     混合建模     材料设计     过程优化    

HTML PDF 收藏

Investigation of carbon dioxide photoreduction process in a laboratory-scale photoreactor by computationalfluid dynamic and reaction kinetic modeling

《化学科学与工程前沿（英文）》 2022年 第16卷 第7期   页码 1149-1163 doi: 10.1007/s11705-021-2096-0

摘要： The production of solar fuels via the photoreduction of carbon dioxide to methane by titanium oxide is a promising process to control greenhouse gas emissions and provide alternative renewable fuels. Although several reaction mechanisms have been proposed, the detailed steps are still ambiguous, and the limiting factors are not well defined. To improve our understanding of the mechanisms of carbon dioxide photoreduction, a multiphysics model was developed using COMSOL. The novelty of this work is the computational fluid dynamic model combined with the novel carbon dioxide photoreduction intrinsic reaction kinetic model, which was built based on three-steps, namely gas adsorption, surface reactions and desorption, while the ultraviolet light intensity distribution was simulated by the Gaussian distribution model and Beer-Lambert model. The carbon dioxide photoreduction process conducted in a laboratory-scale reactor under different carbon dioxide and water moisture partial pressures was then modeled based on the intrinsic kinetic model. It was found that the simulation results for methane, carbon monoxide and hydrogen yield match the experiments in the concentration range of 10−4 mol·m–3 at the low carbon dioxide and water moisture partial pressure. Finally, the factors of adsorption site concentration, adsorption equilibrium constant, ultraviolet light intensity and temperature were evaluated.

关键词： carbon dioxide photoreduction     computational fluid dynamic simulation     kinetic model     Langmuir adsorption    

HTML PDF 收藏

铸件凝固过程的宏观及微观模拟仿真研究进展

柳百成

《中国工程科学》 2000年 第2卷 第9期   页码 29-37

摘要：

面向市场经济，迎接全球化竞争的挑战，为国民经济的发展作贡献，就要十分重视制造业特别是铸造行业的发展。但是，我国铸造行业与国外相比有很大差距，它制约着国民经济的发展。世界各国在铸造成形加工技术的发展趋势方面，认识是一致的，即：一是大型工程中特大型铸件的关键铸造技术；二是向精确成形技术方向发展；三是用计算机模拟仿真逐步代替传统的经验性研究方法。铸造过程计算机模拟仿真是改造传统铸造产业的必由之路，是当今世界各国专家学者关注的热点。铸造充型凝固过程的数值模拟可以帮助工程技术.人员优化工艺设计，缩短试制周期、降低生产成本、确保铸件质量，已成为铸造领域最热门的研究课题之一。目前，凝固过程的流场、温度场数值模拟及缩孔缩松预测已应用于实际生产，应力分析、微观组织模拟等方面的基础研究及实用化进程都取得了很大进展。

关键词： 铸造     凝固过程     模拟仿真     净形铸造    

HTML PDF 收藏

基于活动方法的协同设计过程管理系统研究

郝永平,张建富,史春景,邵伟平

《中国工程科学》 2005年 第7卷 第12期   页码 69-73

摘要：

通过分析活动的组成及与过程建模的关系，提出了一种协同环境下设计过程管理的体系结构。根据产品开发过程的现状和特点，讨论了过程建模、多活动单元设计环境、过程监控以及系统间的数据交换等一系列重要的问题。最后，给出了协同设计过程管理和过程监控显示情况。

关键词： 活动理论     活动单元     过程建模     设计过程管理    

HTML PDF 收藏

标题 作者 时间 类型 操作

Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

期刊论文

Analyzing the energy intensity and greenhouse gas emission of Canadian oil sands crude upgrading through processmodeling and simulation

Anton ALVAREZ-MAJMUTOV,Jinwen CHEN

期刊论文

A neural network-based production process modeling and variable importance analysis approach in corn

期刊论文

Integration of molecular dynamic simulation and free volume theory for modeling membrane VOC/gas separation

Bo Chen, Yan Dai, Xuehua Ruan, Yuan Xi, Gaohong He

期刊论文

Electrocoagulation process for the treatment of metal-plating wastewater: Kinetic modeling and energy

Fatih Ilhan, Kubra Ulucan-Altuntas, Yasar Avsar, Ugur Kurt, Arslan Saral

期刊论文

Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis

Hao QIN, Shenwei ZHANG, Wenxing ZHOU

期刊论文

Catalytic process modeling and sensitivity analysis of alkylation of benzene with ethanol over MIL-101

Ehsan Rahmani, Mohammad Rahmani

期刊论文

Hydrologic experiments and modeling of two laboratory bioretention systems under different boundary conditions

Ruifen Liu, Elizabeth Fassman-Beck

期刊论文

Erratum to ‘‘Modeling and Experimental Validation of the Electron Beam Selective MeltingProcess” [Engineering 3 (2017) 701–707]

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

期刊论文

Identification of resistant pharmaceuticals in ozonation using QSAR modeling and their fate in electro-peroxoneprocess

期刊论文

Kinetic study of the methanol to olefin process on a SAPO-34 catalyst

Mehdi SEDIGHI,Kamyar KEYVANLOO

期刊论文

多尺度材料与过程设计的数据驱动和机理混合建模方法

周腾, Rafiqul Gani, Kai Sundmacher

期刊论文

Investigation of carbon dioxide photoreduction process in a laboratory-scale photoreactor by computationalfluid dynamic and reaction kinetic modeling

期刊论文

铸件凝固过程的宏观及微观模拟仿真研究进展

柳百成

期刊论文

基于活动方法的协同设计过程管理系统研究

郝永平,张建富,史春景,邵伟平

期刊论文