Integrated process simulation of primary shaping: multi scale approaches

2008 ◽  
Vol 14 (12) ◽  
pp. 1789-1796 ◽  
Author(s):  
D. Kauzlarić ◽  
J. Lienemann ◽  
L. Pastewka ◽  
A. Greiner ◽  
J. G. Korvink
Keyword(s):  
Process Simulation ◽  
Integrated Process ◽  
Multi Scale

Efficiency Optimation of Thermal Power Plants Using Integrated Process Simulation

2001 ◽  
Vol 73 (6) ◽  
pp. 626-627
Author(s):  
A. Friedl ◽  
P. Schausberger ◽  
G. Schuster ◽  
K. Weigl ◽  
Ch. Aichernig
Keyword(s):  
Process Simulation ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Integrated Process

scholarly journals Multi-scale Simulation in Railway Planning and Operation

2012 ◽  
Vol 23 (6) ◽  
pp. 511-517 ◽  
Author(s):  
Yong Cui ◽  
Ullrich Martin
Keyword(s):  
Simulation Model ◽  
Process Simulation ◽  
Level Of Detail ◽  
Smooth Transition ◽  
Simulation Methods ◽  
Multi Scale ◽  
Railway Planning ◽  
The Moment ◽  
Discrete Scaling ◽  
Planning And Operation

Simulation methods are widely used in railway planning and operation. However, at the moment there are no applicable solutions in the process simulation for a smooth transition among different infrastructure levels on the basis of a unified structure with consistent algorithm. In this paper, a multi-scale simulation model is designed with consideration of the level of detail of the investigated infrastructure model and the homogeneity of the processes running in the simulation model. A comprehensive and synthesized view of railway planning and operation is therefore obtained. Within the multi-scale simulation model, railway planning and operation processes can be simulated, evaluated and optimized consistently. KEY WORDS: railway planning, simulation, multi-scale, aggregation, discrete scaling, continuous scaling, homogenous process, inhomogeneous process

scholarly journals Multiproduct biorefinery optimal design: application to the acetone-butanol-ethanol system

2020 ◽  
Vol 75 ◽  
pp. 9 ◽  
Author(s):  
Ségolène Belletante ◽  
Ludovic Montastruc ◽  
Michel Meyer ◽  
Heri Hermansyah ◽  
Stéphane Negny
Keyword(s):  
Decision Support ◽  
Optimal Design ◽  
Process Simulation ◽  
Decision Support Tool ◽  
Energy Integration ◽  
Support Tool ◽  
Multi Scale ◽  
Acetone Butanol Ethanol ◽  
Ethanol System

The bioproduct from biomass appears to be major interests for future years given the spectacular and fast advances in microbiology. But the industrial developments of the new bioproducts production struggle to follow this constant and massive creation. Therefore, to estimate the potential of new bioproducts is necessary to pre-design biorefineries with the highest relevance. This study proposes a methodology assessing the relevance of such industrialized production. The presented tool is a multi-scale methodology describing a decision-support tool for the determination of an optimal biorefinery from a superstructure through process simulation, and economic and environmental evaluations. To optimize the biorefinery, energy integration is also applied on the selected processes, because a biorefinery needs a large amount of energy to operate, especially in the pretreatment and purification steps of the process due to huge water flowrate. Thus, the tool designs an efficient, profitable and sustainable biorefinery. We demonstrate our methodology capabilities with the acetone, butanol and ethanol production (ABE system) from lignocellulosic biomass, especially from wood wastes.

Production of 5-HMF from Cellulosic Biomass: Experimental Results and Integrated Process Simulation

2018 ◽  
Vol 9 (12) ◽  
pp. 2433-2445 ◽  
Author(s):  
M. A. Kougioumtzis ◽  
A. Marianou ◽  
K. Atsonios ◽  
C. Michailof ◽  
N. Nikolopoulos ◽  
...  
Keyword(s):  
Process Simulation ◽  
Experimental Results ◽  
Cellulosic Biomass ◽  
Integrated Process

scholarly journals Experimental Validation of Injection Molding Simulations of 3D Microparts and Microstructured Components Using Virtual Design of Experiments and Multi-Scale Modeling

Micromachines ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 614 ◽  
Author(s):  
Dario Loaldi ◽  
Francesco Regi ◽  
Federico Baruffi ◽  
Matteo Calaon ◽  
Danilo Quagliotti ◽  
...  
Keyword(s):  
Injection Molding ◽  
Process Simulation ◽  
Current Work ◽  
Injection Molding Process ◽  
Process Conditions ◽  
Virtual Design ◽  
Molding Process ◽  
Micro Injection Molding ◽  
Multi Scale ◽  
Filling Time

The increasing demand for micro-injection molding process technology and the corresponding micro-molded products have materialized in the need for models and simulation capabilities for the establishment of a digital twin of the manufacturing process. The opportunities enabled by the correct process simulation include the possibility of forecasting the part quality and finding optimal process conditions for a given product. The present work displays further use of micro-injection molding process simulation for the prediction of feature dimensions and its optimization and microfeature replication behavior due to geometrical boundary effects. The current work focused on the micro-injection molding of three-dimensional microparts and of single components featuring microstructures. First, two virtual a studies were performed to predict the outer diameter of a micro-ring within an accuracy of 10 µm and the flash formation on a micro-component with mass a 0.1 mg. In the second part of the study, the influence of microstructure orientation on the filling time of a microcavity design section was investigated for a component featuring micro grooves with a 15 µm nominal height. Multiscale meshing was employed to model the replication of microfeatures in a range of 17–346 µm in a Fresnel lens product, allowing the prediction of the replication behavior of a microfeature at 91% accuracy. The simulations were performed using 3D modeling and generalized Navier–Stokes equations using a single multi-scale simulation approach. The current work shows the current potential and limitations in the use of micro-injection molding process simulations for the optimization of micro 3D-part and microstructured components.

A utility-based integrated process simulation system

1990 ◽  
Author(s):  
E.W. Scheckler ◽  
A.S. Wong ◽  
R.H. Wang ◽  
G. Chin ◽  
J.R. Camagna ◽  
...  
Keyword(s):  
Process Simulation ◽  
Simulation System ◽  
Integrated Process

scholarly journals Integrated Material and Process Evaluation of Metal-Organic Frameworks Database for Energy-efficient SF6/N2 Separation

2021 ◽  
Author(s):  
Jaehoon Cha ◽  
Seongbin Ga ◽  
Seung-Joon LEE ◽  
Soomyung Nam ◽  
Youn-Sang Bae ◽  
...  
Keyword(s):  
Process Simulation ◽  
Energy Efficient ◽  
Adsorption Process ◽  
Metal Organic Frameworks ◽  
Pump Efficiency ◽  
High Performing ◽  
Multi Scale ◽  
Purity Level ◽  
Metal Organic ◽  
Gcmc Simulations

<p> In this work, we proposed multi-scale screening, which employs both molecular and process-level models, to identify high-performing MOFs for energy-efficient separation of SF$_6$ from SF$_6$ and N$_2$ mixture. Grand canonical Monte Carlo (GCMC) simulations were combined with ideal adsorption process simulation to computationally screen 14,000 metal-organic frameworks (MOFs) for adsorptive separation of SF$_6$ \/ N$_2$. More than 150 high-performing MOFs were identified based on the results from GCMC simulations at the pressure and vacuum swing conditions, and subsequently evaluated using the ideal adsorption process simulation. High-performing MOFs selected for the VSA conditions are able to achieve the 90 \% target purity level of SF$_6$ but none of the selected MOFs for PSA conditions could. Cascade PSA configuration was proposed and adopted to improve the purity level of the separated SF$_6$. Cascade PSA configuration was also adopted to improve the purity. In the pump efficiency scenarios of 80, 20, and 10 \%, the VSA and cascade PSA cases were compared, which concluded 10 \% scenario prefers the PSA case whereas the VSA case is favored in the others. Top-performing MOFs identified from the multi-scale computational approach were found to be able to produce 90\% purity SF$_6$ with 0.10 - 0.4 and 0.5 - 1.4 MJ per kg of SF$_6$ for VSA and PSA, respectively.<br></p>

Milling process simulation for the variable pitch cutter based on an integrated process-machine model

2020 ◽  
Vol 106 (7-8) ◽  
pp. 2779-2791 ◽  
Author(s):  
Sijie Cai ◽  
Bin Yao ◽  
Wei Feng ◽  
Zhiqin Cai ◽  
Binqiang Chen ◽  
...  
Keyword(s):  
Process Simulation ◽  
Milling Process ◽  
Integrated Process ◽  
Machine Model ◽  
Variable Pitch

Integrated process simulation of porcelain stoneware manufacturing using flowsheet simulation

2021 ◽  
Vol 33 ◽  
pp. 473-487
Author(s):  
C.L. Alves ◽  
A. De Noni Jr ◽  
R. Janssen ◽  
D. Hotza ◽  
J.B. Rodrigues Neto ◽  
...  
Keyword(s):  
Process Simulation ◽  
Integrated Process ◽  
Flowsheet Simulation
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