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Application of fuzzy analytic hierarchy process model on determination of optimized pile-type

Lei MA, Shuilong SHEN, Jinhui ZHANG, Yang HUANG, Feng SHI

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2,   Pages 252-257 doi: 10.1007/s11709-010-0017-2

Abstract: modern foundation construction, this study presents an efficient approach, in which analytic hierarchy process

Keywords: pile type     fuzzy synthetic evaluation     analytic hierarchy process (AHP)     optimal selection    

Non-equilibrium model for catalytic distillation process

WANG Feng, ZHAO Ning, LI Junping, XIAO Fukui, WEI Wei, SUN Yuhan

Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 4,   Pages 379-384 doi: 10.1007/s11705-008-0071-7

Abstract: A new improved tri-diagonal method was developed for the non-equilibrium stage model of the catalyticThe non-equilibrium stage model was introduced for the catalytic distillation process of the dimethylmethanolysis over solid based catalyst, and the improved tri-diagonal method was used to solve the model

Diffusion process in enzyme–metal hybrid catalysts

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 921-929 doi: 10.1007/s11705-022-2144-4

Abstract: Here, we investigated the diffusion process in enzyme–metal hybrid catalysts using Pd/lipase-PluronicThereafter, a kinetic model was developed and fitted to describe the proximity effect in hybrid catalysts

Keywords: enzyme–metal hybrid catalyst     internal diffusion     proximity effect     kinetic model    

Theory and method of mechanism system design

Huijun ZOU, Qinghua LIANG, Qing ZHANG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 399-411 doi: 10.1007/s11465-010-0116-8

Abstract: Specifically, for conceptual design of mechanical products, this paper presents a novel function solving modelThen it builds a framework as a function-effect-process-action- mechanisms (FEPAM) mapping process, which

Keywords: mechanism system creative design     process model     function solving model     process action procedure     mechanisms    

Simple model of sludge thickening process in secondary settlers

Yuankai ZHANG,Hongchen WANG,Lu QI,Guohua LIU,Zhijiang HE,Songzhu JIANG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 319-326 doi: 10.1007/s11783-014-0758-6

Abstract: during peak flows and therefore plays an important role in the performance of the activated sludge processIn this study, by detecting the hindered zone from the complete thickening process of activated sludge, a simple model for the sludge thickening velocity, , describing the potential and performance of activatedThis empirical model was developed using batch settling data obtained from four WWTPs and validated using

Keywords: wastewater treatment plants     secondary settler     sludge thickening     sludge settling     hindered zone    

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

Ehsan Rahmani, Mohammad Rahmani

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 6,   Pages 1100-1111 doi: 10.1007/s11705-019-1891-3

Abstract: 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.

Keywords: MOFs     alkylation     ethylbenzene     catalysts pellet model     kinetic model     sensitivity analysis    

Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 210-220 doi: 10.1007/s11705-021-2046-x

Abstract: The ability of simulations to reflect real process behavior strongly depends on model quality.Validation and adaption of process models are usually based on available plant data.Using such a model in various simulation and optimization studies can support the process designer in

Keywords: decision support     multicriteria optimization     model validation     dynamic model     sensitivity analysis    

Geometry model for dynamic thermal process in building

Ding Lixing,He Liqun,Chen Zuming,Liu Xianping,Ji Jie

Strategic Study of CAE 2010, Volume 12, Issue 8,   Pages 88-93

Abstract: the variation can't be calculated directly in present algorithmic framework of dynamic thermal processAccording to the feature of building thermal process model and the theory of computer graphics, a newgeometrical model for analysis of building thermal process is advanced in the thesis.Building in the model is simplified into an aggregation of space regions, which are composed of vectorThe geometric model can help to realize the direct calculations of solar direct radiant heat exchanges

Keywords: thermal process in building     geometrical model     solar radiation    

Progress in membrane distillation crystallization: Process models, crystallization control and innovative

Xiaobin Jiang, Linghan Tuo, Dapeng Lu, Baohong Hou, Wei Chen, Gaohong He

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4,   Pages 647-662 doi: 10.1007/s11705-017-1649-8

Abstract: Membrane distillation crystallization (MDC) is a promising hybrid separation process that has been appliedThis review focuses on the development of MDC process models and on crystallization control strategies

Keywords: membrane distillation crystallization     mathematics model     nucleation     separation     hybrid process    

prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process

Frontiers in Energy doi: 10.1007/s11708-023-0906-4

Abstract: accuracy of the RUL of LIBs, a two-phase RUL early prediction method combining neural network and Gaussian process, the features related to the capacity degradation of LIBs are utilized to train the neural network modelconsidered to have a similar degradation pattern, which is used to determine the initial Dual Exponential Model

Keywords: lithium-ion batteries     RUL prediction     double exponential model     neural network     Gaussian process regression    

Research on the railway construction process quality model based on the state-space method

Lu Shoudong,Zhou Guohua,Chen Haifeng and Zhao Guotang

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 64-69

Abstract:

In the ISO9000“input- output”process model,the concept of process quality is difficultFrom the point of view of the process's“white box” theory,this paper puts forward thescientific meaning of the concept of process quality and the process quality model by taking the basicThe basic operating unit system consists of the technological natural process,operation process and managementprocess;the process quality of the basic operating unit system depends on the interrelation and interaction

Keywords: railway construction project     “white box”model     state transition equation     process quality    

Investigation of carbon dioxide photoreduction process in a laboratory-scale photoreactor by computational

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 7,   Pages 1149-1163 doi: 10.1007/s11705-021-2096-0

Abstract: of solar fuels via the photoreduction of carbon dioxide to methane by titanium oxide is a promising processTo improve our understanding of the mechanisms of carbon dioxide photoreduction, a multiphysics modeland Beer-Lambert model.The carbon dioxide photoreduction process conducted in a laboratory-scale reactor under different carbondioxide and water moisture partial pressures was then modeled based on the intrinsic kinetic model.

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

Exploring price effects on the residential water conservation technology diffusion process: a case study

Junying CHU, Hao WANG, Can WANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 688-698 doi: 10.1007/s11783-013-0559-3

Abstract: The WATAP (Water conservation Technology Adoption Processes) model is developed in order to capture thewater conservation technology adoption process under different price scenarios with disaggregate waterThis model is explicitly characterized by the technological selection process under maximum marginalThe WATAP model may potentially be a helpful tool to provide insights for policy makers on water conservation

Keywords: technology selection     model optimization     water price     scenario analysis     consumer behavior    

The Model on Maximum Entropy of Knowledge Creating Stochastic Process

Chen Xin,He Jinsheng,Dong Liping

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 43-46

Abstract: influences the formation of the new knowledge, this thesis sets up the maximum entropy fundamental modelThis model posesses such character that the randomness and the causality are unity of opposites

Keywords: maximum entropy     knowledge innovation     conditional entropy     stochastic process    

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 engineeringTechnical challenges confronting process systems engineers in developing enabling tools and techniques

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

Title Author Date Type Operation

Application of fuzzy analytic hierarchy process model on determination of optimized pile-type

Lei MA, Shuilong SHEN, Jinhui ZHANG, Yang HUANG, Feng SHI

Journal Article

Non-equilibrium model for catalytic distillation process

WANG Feng, ZHAO Ning, LI Junping, XIAO Fukui, WEI Wei, SUN Yuhan

Journal Article

Diffusion process in enzyme–metal hybrid catalysts

Journal Article

Theory and method of mechanism system design

Huijun ZOU, Qinghua LIANG, Qing ZHANG

Journal Article

Simple model of sludge thickening process in secondary settlers

Yuankai ZHANG,Hongchen WANG,Lu QI,Guohua LIU,Zhijiang HE,Songzhu JIANG

Journal Article

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

Ehsan Rahmani, Mohammad Rahmani

Journal Article

Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

Journal Article

Geometry model for dynamic thermal process in building

Ding Lixing,He Liqun,Chen Zuming,Liu Xianping,Ji Jie

Journal Article

Progress in membrane distillation crystallization: Process models, crystallization control and innovative

Xiaobin Jiang, Linghan Tuo, Dapeng Lu, Baohong Hou, Wei Chen, Gaohong He

Journal Article

prediction method for remaining useful life of lithium-ion batteries based on a neural network and Gaussian process

Journal Article

Research on the railway construction process quality model based on the state-space method

Lu Shoudong,Zhou Guohua,Chen Haifeng and Zhao Guotang

Journal Article

Investigation of carbon dioxide photoreduction process in a laboratory-scale photoreactor by computational

Journal Article

Exploring price effects on the residential water conservation technology diffusion process: a case study

Junying CHU, Hao WANG, Can WANG

Journal Article

The Model on Maximum Entropy of Knowledge Creating Stochastic Process

Chen Xin,He Jinsheng,Dong Liping

Journal Article

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

Ian David Lockhart Bogle

Journal Article