Thematische Bibliographien / FlowBox

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Auswahl der wissenschaftlichen Literatur zum Thema „FlowBox“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 12. Februar 2022

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Zeitschriftenartikel zum Thema "FlowBox"

Aarts, J. M., und L. G. Oversteegen. „Flowbox manifolds“. Transactions of the American Mathematical Society 327, Nr. 1 (01.01.1991): 449–63. http://dx.doi.org/10.1090/s0002-9947-1991-1042286-8.

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Bessa, Mário. „The flowbox theorem for divergence-free Lipschitz vector fields“. Comptes Rendus Mathematique 355, Nr. 8 (August 2017): 881–86. http://dx.doi.org/10.1016/j.crma.2017.07.006.

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Ezeofor, Victory ‘Segun, Nathan Bray, Lucy Bryning, Farina Hashmi, Henrik Hoel, Daniel Parker und Rhiannon Tudor Edwards. „Economic model to examine the cost-effectiveness of FlowOx home therapy compared to standard care in patients with peripheral artery disease“. PLOS ONE 16, Nr. 1 (14.01.2021): e0244851. http://dx.doi.org/10.1371/journal.pone.0244851.

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Background Critical limb ischaemia is a severe stage of lower limb peripheral artery disease which can lead to tissue loss, gangrene, amputation and death. FlowOx™ therapy is a novel negative-pressure chamber system intended for home use to increase blood flow, reduce pain and improve wound healing for patients with peripheral artery disease and critical limb ischaemia. Methods A Markov model was constructed to assess the relative cost-effectiveness of FlowOx™ therapy compared to standard care in lower limb peripheral artery disease patients with intermittent claudication or critical limb ischaemia. The model used data from two European trials of FlowOx™ therapy and published evidence on disease progression. From an NHS analysis perspective, various FlowOx™ therapy scenarios were modelled by adjusting the dose of FlowOx™ therapy and the amount of other care received alongside FlowOx™ therapy, in comparison to standard care. Results In the base case analysis, consisting of FlowOx™ therapy plus nominal care, the cost estimates were £12,704 for a single dose of FlowOx™ therapy per annum as compared with £15,523 for standard care. FlowOx™ therapy patients gained 0.27 additional quality adjusted life years compared to standard care patients. This equated to a dominant incremental cost-effectiveness ratio per QALY gained. At the NICE threshold WTP of £20,000 and £30,000 per QALY gained, FlowOx™ therapy in addition to standard care had a 0.80 and 1.00 probability of being cost-effectiveness respectively. Conclusions FlowOx™ therapy delivered as a single annual dose may be a cost-effective treatment for peripheral artery disease. FlowOx™ therapy improved health outcomes and reduced treatment costs in this modelled cohort. The effectiveness and cost-effectiveness of FlowOx™ therapy is susceptible to disease severity, adherence, dose and treatment cost. Research assessing the impact of FlowOx™ therapy on NHS resource use is needed in order to provide a definitive economic evaluation.

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Gooding, Mark. „Flowol (Data Harvest)“. Electronics Education 2002, Nr. 2 (2002): 33. http://dx.doi.org/10.1049/ee.2002.0028.

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Quintelier, Katrien, Artuur Couckuyt, Annelies Emmaneel, Joachim Aerts, Yvan Saeys und Sofie Van Gassen. „Analyzing high-dimensional cytometry data using FlowSOM“. Nature Protocols 16, Nr. 8 (25.06.2021): 3775–801. http://dx.doi.org/10.1038/s41596-021-00550-0.

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Derby, Stephen, Gene Eckert, David Brown und John McFadden. „The compact FlowBot: a robotic pick and place motion system (patent pending)“. Industrial Robot: An International Journal 40, Nr. 2 (März 2013): 106–10. http://dx.doi.org/10.1108/01439911311297694.

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Meekes, Jordy, und Wolter H. J. Hassink. „Flowbca: A Flow-Based Cluster Algorithm in Stata“. Stata Journal: Promoting communications on statistics and Stata 18, Nr. 3 (September 2018): 564–84. http://dx.doi.org/10.1177/1536867x1801800305.

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In this article, we introduce the Stata implementation of a flow-based cluster algorithm, flowbca, written in Mata. The main purpose of flowbca is to identify clusters based on relational data of flows. We illustrate the command by providing multiple examples of applications from the research fields of economic geography, industrial input–output analysis, and social network analysis.

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Arrillaga, J., N. R. Watson und G. N. Bathurst. „A Multifrequency Power Flowof General Applicability“. IEEE Transactions on Power Delivery 19, Nr. 1 (Januar 2004): 342–49. http://dx.doi.org/10.1109/tpwrd.2003.820193.

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Bergström, Dan. „Cost Analysis of Innovative Biomass Harvesting Systems for Young Dense Thinnings“. Croatian journal of forest engineering 40, Nr. 2 (19.07.2019): 221–30. http://dx.doi.org/10.5552/crojfe.2019.552.

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The objective was to analyze three innovative harvesting systems for early thinnings and compare forest-to-industry supply costs. FlowConv consists of a harvester equipped with an innovative continuously cutting, accumulating and bunching head (the FlowCut head), a forwarder and a truck to transport loose tree-parts. FlowFix consists of a harvester equipped with the same cutting head but also a bundling unit (the Fixteri system), plus a forwarder and roundwood truck for biomass transport. FlowCin consists of a new conceptual biomass harvester (the Cintoc system) equipped with the same cutting head and a second crane to pass the cut trees from the front of the machine to a bundling unit at the back, plus the same forwarding and trucking units as in the FlowFix system. Empirical data were used to assess the FlowConv system’s performance, while the FlowFix and FlowCin systems’ performance was simulated. Results indicate that supply costs of the FlowCin system would be 6–10% and 24–29% lower than those of the FlowFix and FlowConv systems, respectively. Thus, it would be more suitable to be equipped with an innovative cutting head, which is up to 100% more efficient than the current commercially available options. Key features of the Cintoc-based system (which minimize possible waiting times during operation) include its buffering cradle and delivery of biomass acquired in two cutting crane cycles to the intermediate delivering crane. The apparent superiority of the FlowCin system is consistent with previous conclusions regarding developments needed to maximize the cost-effectiveness of harvesting young dense stands.

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Bücklein, Veit, Alexandra Stein, Benjamin Tast, Thomas Koehnke, Karsten Spiekermann, Francis Lacombe und Marion Subklewe. „Flowsom: An R-Based Evaluation Strategy for Flow Cytometry-Based Measurable Residual Disease (MRD) Diagnostics in Acute Myeloid Leukemia (AML)“. Blood 134, Supplement_1 (13.11.2019): 4656. http://dx.doi.org/10.1182/blood-2019-129866.

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Patients with Acute Myeloid Leukemia (AML) frequently relapse due to chemorefractory AML cells persisting after intensive chemotherapy at levels below the 5% morphological detection threshold (measurable residual disease, MRD). MRD has been established as an important prognostic factor for relapse-free and overall survival, making it highly relevant for post-remission treatment stratification. In contrast to MRD assessment by molecular techniques, multiparameter flow cytometry (MFC)-based MRD measurements are applicable in more than 95% of AML patients, while still offering a sensitivity of 10-4 to 10-5. Current MFC MRD assessment strategies measure 8-10 fluorochromes in parallel, resulting in a high-dimensional data set. However, evaluation of this data is usually performed by scatterplot-based manual, two-dimensional analysis. This leads to loss of information and significant inter-observer variability in MRD diagnostics. We therefore established a computational data analysis strategy for MFC MRD diagnostics, based on the unsupervised FlowSOM algorithm. By comparison with healthy bone marrow (HBM) data, FlowSOM analysis can identify aberrant (sub-)populations of cells, clustered in nodes (according to similarity of their antigen profile). These nodes can be denoted as "nodes of interest" (NOI) to simplify MRD analysis after clustering. Aim of the project was to establish FlowSOM analysis protocols and retrospectively evaluate their prognostic significance in a cohort of 46 patients with known outcomes. Bone marrow samples of these patients were analyzed at aplasia (day 16 after initiation of induction chemotherapy). Only patients with morphological blast clearance at aplasia were included. Healthy reference FlowSOM trees were established by merging flow data of 17 HBM. Analysis protocols were developed to report individual ("any node" approach) and cumulative ("sum node" approach) differences in NOI percentages when comparing HBM and MRD samples. We then performed FlowSOM MRD analyses in a patient subcohort of 19 AML patients. Importantly, for these analyses, we excluded patients who underwent allogeneic stem cell transplantation in first remission (non-HSCT subcohort). Median follow-up time was 8.3 (range 2-40) months for this subcohort. Receiver operating characteristic (ROC) analyses were used to determine optimal threshold values to differentiate relapse (n=5) and non-relapse (n=14) patients within the cohort. For "sum node" analysis strategies (defining MRD levels as cumulative difference of NOI percentages) a threshold of -2.44% was identified, optimized for Youden (Y) index and diagnostic odds ratio (DOR). For the "any node" strategy (defining MRD levels by the maximum difference of any NOI), a threshold of 0.04%, also optimized for the Y-index and DOR, discriminated best between relapse and non-relapse patients. Relapse-free survival (RFS) was significantly shorter for MRD-positive (MRDpos) patients identified by "sum node" analysis (median 8 months vs. not reached, p=0.016) and tended to be shorter for MRDpos patients by "any node" analysis (median 8 months vs. not reached, p=0.1). When applying the thresholds identified in the non-HSCT cohort to the full set of 46 patients (median follow-up interval 10.6 months, range 2-40), median RFS was not reached for the MRD-negative group (both for "sum node" and "any node" analysis), and was 14 ("sum node", p=0.098) and 14 months ("any node", p=0.360) for the MRDpos patients. Median overall survival for MRDpos patients by "sum node" analysis was 27 months, whereas it was not reached for MRD-negative patients. However, this difference did not reach statistical significance (p=0.335), probably due to the small sample size. Taken together, FlowSOM-based analysis strategies seem well suited to identify patients with MRD positivity after intensive induction chemotherapy. MFC MRD positivity at aplasia, defined by FlowSOM-based analysis, is associated with inferior RFS in retrospective analyses of small patient cohorts. Due to the underlying computational, unsupervised data analysis, FlowSOM-based assessment can be a means to harmonize MFC MRD evaluation. These promising results need to be verified in larger cohorts, with inclusion of post-induction assessments, and should be followed by prospective analyses to delineate the diagnostic validity of FlowSOM for AML MRD diagnostics in clinical trials. Disclosures Subklewe: Janssen: Consultancy; Morphosys: Research Funding; Celgene: Consultancy, Honoraria; Gilead: Consultancy, Honoraria, Research Funding; Miltenyi: Research Funding; Oxford Biotherapeutics: Research Funding; Pfizer: Consultancy, Honoraria; AMGEN: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Research Funding.

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Dissertationen zum Thema "FlowBox"

Mitrenga, Michal. „Realizace demonstrativního panelu inteligentní elektroinstalace KNX“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442454.

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The aim of this diploma thesis is to compile a demonstration panel as an example of the functions of intelligent electrical installation KNX. One of the advantages of this system bus is the ability to use devices from multiple manufacturers. A total of 20 devices from 12 different manufacturers are used in this work. The work begins with an explanation of the principle on which the KNX system bus works, followed by a description of the equipment used and the electrical connection of the switchboard according to the wiring diagram. Next, how the whole panel was revived is described. The next chapter contains a detailed description of device programming in ETS, ie setting parameters for individual devices and assigning group addresses. The last chapter deals with visualization and remote control. It explains how a communication channel was created to connect the panel to a server from FlowBox. Using the web interface on this server, a visualization was created, which can be used to remotely control the entire panel from anywhere.

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Rossouw, André. „Boiler system modelling using Flownex®“. Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20784.

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The objective of this project is to develop a boiler modelling methodology, specifically using Flownex, which is capable of running transient simulations for a large variety of coal-fired boiler designs typically used in Eskom. Flownex has been identified as the key software to accomplish the global objective of the Centre for Energy Efficiency under EPPEI at the University of Cape Town, which is to develop a software model of a complete coal-fired power station which includes all the main systems required for independent transient simulation. The boiler model captures the true geometric layout and flow orientation with associated characteristics of a wide variety of boiler designs utilised by Eskom. In order to achieve this, boilers and heat exchangers are grouped according to common physical properties which simplify the modelling process and optimise results. This is preceded by an investigation into the types of boiler designs currently operational in Eskom including available associated geometrical and process characteristics. A study into heat transfer mechanisms applicable to coal-fired boiler heat exchangers was done to ensure fundamental theoretical principles are adhered to during the development of the analytical models, the first step in the modelling process. The Flownex solving methodology is evaluated against the analytical models in a simplified heat exchanger before full detail modelling of heat exchangers are done. The component and method used in Flownex requires convection and radiation heat transfer to be accounted for separately and thus heat exchangers are classified sequentially according to their location in the boiler, this process relies heavily on data obtained in the boiler study. Heat exchangers and auxiliary systems are then integrated into a single system used to obtain steady-state results. The steady-state boiler model is evaluated against actual boiler design data for various loads to prove applicability to various boiler designs and operating conditions.

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Banda, Richard Bobby. „Modelling of the deaerator system in Flownex“. Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/24319.

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The study of the steady-state and dynamic behaviour of thermal power plants is of interest and significant benefit in different engineering fields ranging from research and design, to the assistance of operator training, plant optimization, fault finding and failure analysis. In light of the these benefits, and the increasing electrical energy demand in South Africa, the Eskom Power Plant Engineering Institute Centre for Energy Efficiency intends to build a transient simulation model of a coal fired power plant. The software identified for this task is Flownex SE. Flownex is a one-dimensional thermal-hydraulic solver that solves user defined networks by obtaining a numerical solution of the governing equations of fluid dynamics and heat transfer. The software contains a vast library of low level standard industrial components such as valves and pipes that can be linked together to form networks. Due to the overall size and complexity of the intended plant model, it was suggested that individual plant components be modelled separately and then integrated together to form the complete model. The primary objective of this study was to develop one such model, of a deaerator, in Flownex. In addition to being a building block for the complete plant model, the deaerator model will also be used as a standalone model to predict the steady state, transient and non-condensable gas extraction characteristics of the equipment. The first activity performed was to establish the types and operating principles of the deaerators used in industry, particularly in Eskom power stations. This was achieved through a literature survey complemented by six power station visits and a review of some assets owned by Eskom. It was established that the tray and spray type deaerators were the most commonly used deaerator types, and that their operating principle was based on the temperature-solubility relationship of gases in water and Henry's Law. Based on this knowledge, an analytical model of a deaerator was developed. The purpose of this analytical model was to serve as a verification tool for the final Flownex Model. The analytical model was developed by writing a Mathcad algorithm that solved the steady state one-dimensional mass and energy conservation equations around the deaerator boundary together with the oxygen component continuity equation. The model was successfully validated by comparing its predictions to acceptance tests data from an Eskom's Plant 1 power station. The final step was the development, verification and validation of the Flown ex model. The Flownex model was developed and successfully verified by comparing its predictions to that of the analytical model. Three case studies were then performed as a validation exercise in order to demonstrate the integrity of the model in simulating both steady state and transient scenarios. In all three studies the model predicted the unknown values satisfactorily and within acceptable error margins. It was therefore concluded that the primary objective of the study had been met.

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Neerputh, Rahendra Laljith. „Development of appropriate steam turbine models in Flownex“. Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13158.

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Includes bibliographical references.
The Specialization Centre for Energy Efficiency at the University of Cape Town has a goal of building thermo-hydraulic models of an entire power plant. A one-dimensional thermo-hydraulic network solver, Flownex, is the software envisaged to accomplish this goal. The development of appropriate steam turbine models in Flownex supports fulfilment of this goal. Steam turbines of fossil and nuclear power plants make up most of the generating capacity for the majority of industrialised and industrial developing countries, except for those whose power industry depends mainly on hydroelectric power plants [1]. It is therefore a matter of great interest to be ab le to predict the steady state and transient operation of steam turbines. The aim of this dissertation was to use minimal data that was readily available to the end user to develop accurate models. Acceptance test data was used as the primary source because it is more reliable than plant data. Various pressure drop correlations and methods to predict off-design efficiency were investigated. These correlations and methods were solved analytically and implemented in Flownex. Interpretation of the error analysis for the pressure drop correlations established that the general empirical law using inlet conditions and Stodola law in the volume form were the most accurate and consistent in predicting mass flow rate and pressure. The Ray method was shown to be the most accurate to predict off-design efficiency and one of the less complicated to implement. Steady state models were built for four turbine trains using the general empirical and Stodola laws. The results produced by both correlations were similar, showing that for high vacuum conditions either correlation could be used. The general empirical law was the chosen correlation to implement for transient analysis since it was generally more accurate and easier to implement than Stodola. The power predicted by the model was within ±1 % of that of the actual power produced.

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Poetranto, Groß Dwi Retnani. „Network flow and location (FlowLoc) : the source location problem /“. München : Verl. Dr. Hut, 2009. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=017179775&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Poetranto, Gross Dwi Retnani. „Network flow and location (FlowLoc) the source location problem“. München Verl. Dr. Hut, 2008. http://d-nb.info/992662664/04.

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Hautala, M. (Mikko). „Modeling of electrolytic solutions and implementation of the models in Flowbat“. Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605041611.

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The purpose of this thesis was to create a Flowbat program for the calculation of the activity coefficients of species in different electrolyte solutions. In these solutions, electrolytes have dissociated into ions, which greatly increases the non-ideality of the solution even in small concentrations. Modeling of electrolytic solutions becomes essential when bioprocesses are considered, as they typically have several electrolytes present in the considered system. The highly non-ideal behavior must be accounted for accurately when estimating activity coefficients, and consequently the properties of the system at phase and reaction equilibrium. The theory part of this thesis begins by introducing the main principles behind vapor-liquid equilibrium calculations, which are the so-called “phi-phi” and “gamma-phi” approaches, for both electrolyte and non-electrolyte solutions. Next, different alternatives to estimate the fugacity coefficients and activity coefficients in the electrolyte solutions are presented. The fugacity coefficients and activity coefficients are calculated with different equations of state and activity coefficient models, respectively. The selection between the models is not straightforward, but the generally applied approach is to use the activity coefficient models. Because of this, different activity coefficient models, such as eNRTL and LIQUAC, will be mostly examined in this thesis. Some equations of state have also been extended for electrolyte solutions, but they are rarely used due to their inaccuracy in highly non-ideal systems. Inclusion of ionic species also necessitates the use of different thermodynamic standard states for them. Therefore, the general concepts of the generally applied standard state conventions and how they are chosen will be presented as well. The presence of ions in the solution means that the behavior of the solution is dependent on both long- and short-range interactions between species. The short-range interactions can be modeled with typical non-electrolyte activity coefficient models, whereas the modelling of the long-range interactions needs different models. The electrostatic forces induced by the ions are long-range interactions. These phenomena can be modeled through the use of Poisson Boltzmann theory and Born model, and their effect on activity coefficients are accounted mainly with the Debye-Hückel and the mean spherical approximation theories. As most activity coefficient models rely on the Debye-Hückel theory for representing long-range Coulombic interactions, it will be given special attention in the theory part of this thesis. In the applied section of this thesis, symmetric eNRTL activity coefficient model was chosen for a more in-depth analysis, and it was programmed into Flowbat simulation software with the Fortran programming language. The validity of the created Flowbat program was evaluated by comparing its results against the results of the basically identical eNRTL-SR model of Aspen Plus. The tests were performed with the following mixtures: water + 1-propanol + NaCl, water + 1-propanol + NaCl + CaCl₂, water + formic acid, water + ammonia + hydrogen sulfide. Deviations between the activity coefficients of the created Flowbat program and Aspen Plus proved to be negligible. The small deviations are most likely caused by the fundamental differences between the simulation software. Thus, the main goal of the thesis work was reached succesfully. The steps taken during the creation of the Flowbat program and the Aspen Plus simulation have been documented in detail, which can serve as a guideline for the future implementation of the electrolyte models in different process design and analysis studies with electrolyte solutions
Tämän työn tarkoituksena oli luoda Flowbat ohjelma jolla pystytään laskemaan elektrolyyttiliuoksissa olevien komponenttien aktiivisuuskertoimet. Näissä liuoksissa elektrolyytit ovat dissosioituneet ioneiksi, jotka pienissäkin pitoisuuksissa kasvattavat liuoksen epäideaalista käyttäytymistä suuresti. Elektrolyyttiliuosten käyttäytymisen mallintaminen on keskeisessä osassa etenkin erilaisten bioprosessien tarkastelussa, koska näissä prosesseissa on tyypillisesti useita elektrolyyttejä seoksessa. Tämä erittäin epäideaalinen käyttäytyminen täytyy huomioida tarkasti aktiivisuuskertoimia laskettaessa, joka myös vastaavasti vaikuttaa systeemin ominaisuuksiin faasi- ja reaktiotasapainossa. Tämän työn teoriaosa alkaa elektrolyytti- ja ei-elektrolyyttiliuosten kaasu–neste-tasapainolaskentaan käytettävien menetelmien esittelyllä. Näitä menetelmiä kutsutaan ”fii-fii” ja ”gamma-fii” lähestymistavoiksi. Seuraavaksi esitellään eri vaihtoehdot elektrolyyttiliuosten fugasiteettikertoimien ja aktiivisuuskertoimien arviointia varten. Fugasiteettikertoimet voidaan laskea erilaisilla tilanyhtälöillä, kun taas aktiivisuuskertoimet voidaan laskea aktiivisuuskerroin mallien avulla. Valinta näiden mallien välillä ei ole suoraviivaista, mutta yleisimmissä tapauksissa sovelletaan aktiivisuuskerroin malleja. Tästä syystä erinäisiä aktiivisuuskerroin malleja, kuten eNRTL ja LIQUAC, tullaan käsittelemään enimmäkseen tässä työssä. Ionien huomioiminen liuoksessa edellyttää myös eri standarditilojen käyttöä riippuen tarkasteltavasta kohteesta. On siis tarpeellista myös esitellä laajimmin käytetyt standarditilat yleisesti sekä valintaperusteita niiden valinnalle eri seoksilla. Johtuen ionien vaikutuksista, liuoksen käyttäytyminen on riippuvainen eri osaslajien välisistä sekä pitkän kantaman että lyhyen kantaman vuorovaikutuksista. Lyhyen kantaman vuorovaikutuksia voidaan mallintaa perinteisillä ei-elektrolyyteille muodostetuilla aktiivisuuskerroinmalleilla, kun taas pitkän kantaman vuorovaikutuksia täytyy mallintaa eri tyyppisillä malleilla. Ionien aiheuttamat elektrostaattiset voimat ovat pitkän kantaman vuorovaikutuksia. Näitä ilmiöitä pystytään mallintamaan Poisson-Boltzmannin teorian ja Bornin mallin avulla, sekä niiden vaikutus aktiivisuuskertoimiin voidaan huomioida Debye-Hückel ja MSA (mean spherical approximation) teorioiden avulla. Koska suurin osa aktiivisuuskerroinmalleista hyödyntää Debye-Hückel teoriaa pitkän kantaman Coulombisten vuorovaikutusten mallintamiseen, sitä käsitelleään erityisen tarkasti tämän työn teoriaosassa. Työn soveltavassa osuudessa symmetrinen eNRTL aktiivisuuskerroinmalli valittiin perusteellista tarkastelua varten ja tämä malli ohjelmoitiin Flowbat-simulointiohjelmistoon käyttäen Fortran-ohjelmointikieltä. Tämän luodun Flowbat- ohjelman tulosten paikkansapitävyyttä arvioitiin vertaamalla ohjelmalla laskettuja tuloksia Aspen Plus -simulointiohjelmiston käytännössä identtisen ENRTL-SR-mallin laskentatuloksiin. Nämä testit suoritettiin seuraavilla seoksilla: vesi + 1-propanoli + NaCl, vesi + 1-propanoli + NaCl + CaCl₂, vesi + muurahaishappo, vesi + ammoniakki + rikkivety. Erot tässä työssä muodostetun Flowbat-ohjelman ja Aspen Plus -ohjelman laskemissa aktiivisuuskertoimissa osoittautuivat suhteellisen vähäisiksi. Nämä pienet erot johtuvat todennäköisesti käytettyjen ohjelmistojen perustavanlaatuisista eroavaisuuksista. Täten tämän työn varsinainen päämäärä saavutettiin onnistuneesti. Muodostetun Flowbat-ohjelman ja Aspen Plus simulointien luomisen välivaiheet on dokumentoitu työssä yksityiskohtaisesti, joten muodostettua Flowbat-ohjelmaa voidaan tulevaisuudessa käyttää elektrolyyttimallien soveltamiseen erilaisiin prosessisuunnittelu- ja -analyysitarkasteluihin

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Emslie, Frank Norman. „Flownex analysis of high temperature test reactor thermo-hydraulic benchmarks / Frank Norman Emslie“. Thesis, North-West University, 2005. http://hdl.handle.net/10394/469.

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The High Temperature engineering Test Reactor (HTTR) is an experimental High Temperature Gas-cooled Reactor (HTGR) built by the Japanese Atomic Energy Research Institute (JAERI) to facilitate tests of HTGR technology. One of these test activities involves the validation and verification of thermo-hydraulic codes used in the design of similar HTGR plants. This report details the benchmarking of the Flownex simulation package as used by PBMR (Fly.) Ltd., a South African company developing another type of HTGR known as the Pebble Bed Modular Reactor. The benchmark is of a loss-of-off-site-power event that was tested at the HTTR facility. The event involves a cut of the electric power supply to the circulators, a reactor SCRAM and the activation of the Auxiliary Cooling system to remove decay heat. The need for verification of thermodynamic software is very important in modem nuclear power plant designs, as so much depends on the results produced. Any errors in these results can have serious economic and safety consequences. This report firstly discusses the background of the study, elaborating on the need for the work and the benefit that can be derived from it. Thereafter the process of software verification and validation (V&V) is discussed so that the need for V&V may be clearly understood. Various modelling and simulation methods are then compared, to provide an idea of the work already done in this field. Following this more detail is given on the HTTR test plant and how it is modelled in Flownex. This model is then used for both steady-state and transient simulations, the results of which are then compared with test data. With some exceptions, the study shows that the simulation results are very close to the measured data. Differences are of such a magnitude that they may be attributed to instrumentation inaccuracies. The study contributes to the field in that the methodology of analysing thermo-hydraulic systems is further broadened. The conclusions drawn from this study are aimed at the simulation design engineer, to help him or her understand similar problems and to find solutions faster.
Thesis (M.Ing. (Mechanical Engineering))--North-West University, Potchefstroom Campus, 2005.

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Thakaso, Matete. „Development of a performance-based high pressure feed water heater model for Flownex SE“. Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/13756.

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Feed-water heaters (FWHs) are an integral part of the power plant with respect to the overall heat recovery, and thus its efficiency. While the main purpose of the FWHs is to heat up the feed-water before being sent to the boiler, there are more added advantages owing to the installation of this equipment to the power plant such as less heat being removed to the atmosphere at the condenser. This report aims at understanding the different types of FWHs in operation and understanding how heat is transferred from the bled steam into the feed-water, and using the understanding to model a transient FWH. The FWH model is a building block towards building a complete transient power plant model. Process operations are all subject to constraints of some sort. The limitations can be in the form of physical geometry, process parameters or lack of correlations that relate known data. The constraints vary in their complexity, and depending on the type of constraints a different mathematical modelling technique can be applied to implement the FWH model. The grey-box modelling technique was chosen to be the appropriate one for analysis as it captures the dynamics that depend on the first principles and correlations whilst still using the global inlet and outlet properties of the FWH. The FWHs have three zones; de-superheating, condensing and sub-cooling zones. The heat transfer characteristics of the three zones are different, and thus their heat duties with the condensing taking a significant amount of the heat duty.

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Cilliers, Charl. „Thermal-fluid simulation of nuclear steam generator performance using Flownex and RELAP5/mod3.4 / Charl Cilliers“. Thesis, North-West University, 2012. http://hdl.handle.net/10394/9777.

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The steam generator plays a primary role in the safety and performance of a pressurized water reactor nuclear power plant. The cost to utilities is in the order of millions of Rands a year as a direct result of damage to steam generators. The damage results in lower efficiency or even plant shutdown. It is necessary for the utility and for academia to have models of nuclear components by which research and analysis may be performed. It must be possible to analyse steam generator performance for both day-to-day operational analysis as well as in the case of extreme accident scenarios. The homogeneous model for two-phase flow is simpler in its implementation than the two-fluid model, and therefore suffers in accuracy. Its advantage lies in its quick turnover time for development of models and subsequent analysis. It is often beneficial for a modeller to be able to quickly set up and analyse a model of a system, and a trade-off between accuracy and time-management is thus required. Searches through available literature failed to provide answers to how the homogeneous model compares with the two-fluid model for operational and safety analysis. It is expected to see variations between the models, from the analysis of the mathematics, but it remains to be shown what these differences are. The purpose of this study was to determine how the homogeneous model for two-phase flow compares with the two-fluid model when applied to a u-tube steam generator of a typical pressurized water reactor. The steam generator was modelled in both RELAP5 and in Flownex. A custom script was written for Flownex in order to implement the Chen correlation for boiling heat transfer. This was significantly less detailed than RELAP5’s solution of a matrix of flow regimes and heat transfer correlations. The geometry of the models were based on technical drawings from Koeberg Nuclear Power Plant, and were simplified to a one-dimensional model. Plant data obtained from Koeberg was used to validate the models at 100%, 80% and 60% power output. It was found that the overall heat transfer rate predicted with the RELAP5 two-fluid model was within 1.5% of the measured data from the Koeberg plant. The results generated by the homogeneous model for the overall heat transfer were within 4.5% of the measured values. However, the differences in the detailed temperature distributions and heat transfer coefficient values were quite significant at the inlet and outlet ends of the tube bundle, at the bottom tube sheet of the steam generator. In this area the water-level was not accurately modelled by the homogeneous model, and therefore there was an under-prediction in heat transfer in that region. Large differences arose between the Flownex and RELAP5 solutions due to difference in the heat transfer correlations used. The Flownex model exclusively implemented the Chen correlation, while RELAP5 implements a flow regime map correlated to a table of heat transfer correlations. It was concluded that the results from the homogeneous model for two-phase flow do not differ significantly when compared with the two-fluid model when applied to the u-tube steam generator at the normal operating conditions. Significant differences do, however, occur in lower regions of the boiler where the quality is lower. We conclude that the homogeneous model offers significant advantage in simplicity over the two-fluid model for normal operational analysis. This may not be the case for detailed accident analysis, which was beyond the scope of this study.
Thesis (MIng (Nuclear Engineering))--North-West University, Potchefstroom Campus, 2013.

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Bücher zum Thema "FlowBox"

Bierwirth, Christian. Flowhop Scheduling mit parallelen Genetischen Algorithmen. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3.

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Heck, Meinrad. Der Flowtex-Skandal. Fischer Taschenbuch Vlg., 2006.

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Bierwirth, Christian. Flowhop Scheduling mit parallelen Genetischen Algorithmen: Eine problemorientierte Analyse genetischer Suchstrategien. Deutscher Universitätsverlag, 1993.

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Buchteile zum Thema "FlowBox"

Harris, Andrew J. L., und Scott K. Rowland. „FLOWGO 2012“. In Hawaiian Volcanoes, 457–81. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118872079.ch21.

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Heller, Stephanie, und Horst W. Hamacher. „The Multi Terminal q-FlowLoc Problem: A Heuristic“. In Lecture Notes in Computer Science, 523–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21527-8_57.

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Bierwirth, Christian. „Motivation“. In Flowhop Scheduling mit parallelen Genetischen Algorithmen, 1–5. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3_1.

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Bierwirth, Christian. „Zusammenfassung und Ausblick“. In Flowhop Scheduling mit parallelen Genetischen Algorithmen, 197–200. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3_10.

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Bierwirth, Christian. „Flowshop Scheduling“. In Flowhop Scheduling mit parallelen Genetischen Algorithmen, 6–31. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3_2.

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Bierwirth, Christian. „Genetische Algorithmen“. In Flowhop Scheduling mit parallelen Genetischen Algorithmen, 32–75. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3_3.

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Bierwirth, Christian. „PGA — ein verteilt-asynchrones Optimierungsverfahren“. In Flowhop Scheduling mit parallelen Genetischen Algorithmen, 76–87. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3_4.

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Bierwirth, Christian. „Genetische Problemrepräsentation“. In Flowhop Scheduling mit parallelen Genetischen Algorithmen, 88–103. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3_5.

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Bierwirth, Christian. „Problemabhängige PGA Komponenten“. In Flowhop Scheduling mit parallelen Genetischen Algorithmen, 104–40. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3_6.

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Bierwirth, Christian. „Problemunspezifische PGA Komponenten“. In Flowhop Scheduling mit parallelen Genetischen Algorithmen, 141–63. Wiesbaden: Deutscher Universitätsverlag, 1993. http://dx.doi.org/10.1007/978-3-322-85617-3_7.

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Konferenzberichte zum Thema "FlowBox"

Fu, Senbo, Hyong Kim und Rui Prior. „FlowBox: Anomaly Detection Using Flow Analysis in Cloud Applications“. In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/glocom.2015.7417544.

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De Groef, Willem, Dominique Devriese, Nick Nikiforakis und Frank Piessens. „FlowFox“. In the 2012 ACM conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2382196.2382275.

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Seddiki, M. Said, Muhammad Shahbaz, Sean Donovan, Sarthak Grover, Miseon Park, Nick Feamster und Ye-Qiong Song. „FlowQoS“. In SIGCOMM'14: ACM SIGCOMM 2014 Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2620728.2620766.

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Zheng, Wenjia, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng und Yantian Hou. „FlowCon“. In ICPP 2019: 48th International Conference on Parallel Processing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3337821.3337868.

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Kamisiński, Andrzej, und Carol Fung. „FlowMon“. In CCS'15: The 22nd ACM Conference on Computer and Communications Security. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2809826.2809833.

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Alim, Abdul, Mehdi Bezahaf und Laurent Mathy. „FlowOS“. In the eighth ACM/IEEE symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396556.2396588.

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Bezahaf, Mehdi, Abdul Alim und Laurent Mathy. „FlowOS“. In the 2013 workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2535828.2535836.

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Fu, Ningjia, Yuwei Xu, Jianzhong Zhang, Rongkang Wang und Jingdong Xu. „FlowCop: Detecting "Stranger" in Network Traffic Classification“. In 2018 27th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2018. http://dx.doi.org/10.1109/icccn.2018.8487398.

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Kellerman, Andre, und I. A. Gorlach. „Modelling of boiler fireside control in flownex software environment“. In 2015 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech). IEEE, 2015. http://dx.doi.org/10.1109/robomech.2015.7359489.

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Berichte der Organisationen zum Thema "FlowBox"

Pruess, Karsten, und Alfredo Battistelli. TMVOC, A Numerical Simulator for Three-Phase Non-isothermal Flowsof Multicomponent Hydrocarbon Mixtures in Variably SaturatedHeterogeneous Media. Office of Scientific and Technical Information (OSTI), August 2005. http://dx.doi.org/10.2172/891344.

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Jaffe, Adam, und Manuel Trajtenberg. Flows of Knowledge from Universities and Federal Labs: Modeling the Flowof Patent Citations Over Time and Across Institutional and Geographic Boundari. Cambridge, MA: National Bureau of Economic Research, August 1996. http://dx.doi.org/10.3386/w5712.

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Magnusson, A. K., K. E. LaGory und J. W. Hayse. The effects of overwinter flowson the spring condition of rainbow and brown trout size classes in the Green River downstream of Flaming Gorge Dam, Utah. Office of Scientific and Technical Information (OSTI), Juni 2010. http://dx.doi.org/10.2172/982695.

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