Temat: optimizing - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Optimizing of parameters dipping metallization of Taguchi method
Autorzy:: Woźniak, P.
Starosta, R.
Gruba, D.
Tematy:: metallization
galvanizing
Taguchi method
optimizing; Pokaż więcej
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Powiązania:: https://bibliotekanauki.pl/articles/243741.pdf Link otwiera się w nowym oknie
Opis:: Zinc coatings obtained by immersion metallization are an effective and economical way to protect against corrosion also for high carbon steels, foundry iron alloys. However, the difficulties encountered in surface preparation due to oxide contamination, as well as the presence of carbon (graphite) from the casting process or cast iron sludge, make cast irons zinc-plated by manufacturers reluctantly. The technological properties of the zinc baths and the technological properties of the coatings obtained vary considerably depending on the various impurity and alloying additives. The effect of zincing time significantly affects the thickness of zinc coatings and is dependent on the mass and thickness of the sample. The submerged object heats up faster or slower, depending on the thickness, and its temperature first reaches and then exceeds the melting point of the zinc. However, to avoid zinc over time, it is appropriate to respond to the current ISO standard EN 1461:2009, which specifies the minimum thickness of zinc coatings on steel substrate. The subject of the study was the optimization of parameters metallization using the Taguchi Method. The analysis took into account the influence of the immersion time and temperature of the bath of molten zinc on the thickness of the zinc coating. The test was conducted for three different times, i.e. 30, 60 and 150 seconds and for three different values of the temperature of the bath: 440, 460, 480 [°C]. In order to predict the thickness of the coating, multiple regression analysis was applied, which showed that the experiment was carried out correctly and falling within the limits of tolerance error.
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Application of the central composite design to optimization of petroleum hydrocarbons removal from oilfield water using advanced oxidation process
Autorzy:: Farzadkia, M.
Ghorbanian, M.
Biglari, H.
Gholami, M.
Mehrizi, E. A.
Tematy:: advanced oxidation processes
optimizing
total oil hydrocarbons
central composite design; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/204881.pdf Link otwiera się w nowym oknie
Opis:: In the last few years, RSM method has been used widely to analyze, optimize and evaluate the interaction of independent factors for chemical, biochemical, and environmental processes. This study examined and evaluated the applicability of this method to manage Oilfield Produced Water to prevent marine environment due to the presence of hard degradable compounds by ozonation process. In this study simulated oil-water sample and a homogenizer reactor was used. The main reactor used in this study was impeinger equipped with sintered glass filter through which the treated oil-water was entered to reactor in the form of discontinuous flow. After ozonation and at the end of the reaction time (60 min), the concentration of oil hydrocarbons was determined by a gas chromatography device equipped with a flame ionization detector. The performance of the central composite design (CCD) approach was evaluated by the F-Value, P-Value, R², lack of fit test and Adequate Precision parameters to determine the influence of effective factors, including ozonation time, pH, ozone dose, and TPH concentration on the TPH removal efficiency. The mean TPH efficiency obtained from the design of the 30-step experiment resulting from surface-response method was 49.903%, with a standard deviation of 12.47. This study showed the high power of model adopted from the central composite design to predict the hydrocarbons removal from oilfield water using advanced oxidation process, and it was proved that this model can be used alone to determine the design space nature.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Optimization of parameters of heat exchangers vehicles
Optimizacia parametrov teploobmennyh apparatov transportnyh sredstv
Autorzy:: Melekhin, A
Tematy:: optimizing
transport system
mathematical model
optymalizacja
system transportu
model matematyczny; Pokaż więcej
Wydawca:: Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Powiązania:: https://bibliotekanauki.pl/articles/374855.pdf Link otwiera się w nowym oknie
Opis:: The relevance of the topic due to the decision of problems of the economy of resources in heating systems of vehicles. To solve this problem we have developed an integrated method of research, which allows to solve tasks on optimization of parameters of heat exchangers vehicles. This method decides multicriteria optimization problem with the program nonlinear optimization on the basis of software with the introduction of an array of temperatures obtained using thermography. The authors have developed a math-ematical model of process of heat exchange in heat exchange surfaces of apparatuses with the solution of multicriteria optimization problem and check its adequacy to the ex-perimental stand in the visualization of thermal fields, an optimal range of managed pa-rameters influencing the process of heat exchange with minimal metal consumption and the maximum heat output fin heat exchanger, the regularities of heat exchange process with getting generalizing dependencies distribution of temperature on the heat-release surface of the heat exchanger vehicles, defined convergence of the results of research in the calculation on the basis of theoretical dependencies and solving mathematical model.
Актуальность темы обусловлена решением задач ресурсоэнергосбе-режения в системах обогрева транспортных средств. Для решения данной проблемы разработан комплексный метод исследований который позволяет решать задачи оптимизации параметров теплообменных аппаратов транспортных средств. Данный метод решает многокритериальную задачу оптимизации с помощью програм-мы нелинейной оптимизации на базе программного комплекса с введением массива температур полученных с помощью тепловизионной съемки. Авторами разработана математическая модель процесса теплообмена на теплообменных поверхностях аппаратов с решением многокритериальной задачи оптимизации и проверкой ее адекватности на экспериментальном стенде при помощи визуализации тепловых полей, сформирован оптимальный диапазон управляемых параметров, влияющие на процесс теплообмена при минимуме металлоемкости и максимуме теплопроизводительности ребра теплообменного аппарата, определены закономерности процесса теплообмена с получением обобщающих зависимостей распределения температуры на теплоотдающей поверхности теплообменного аппарата транспортных средств, определена сходимость результатов исследований при расчете на основании теоретических зависимостей и решения математической модели.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Optimizing control by robustly feasible model predictive control and application to drinkingwater distribution systems
Autorzy:: Tran, V. N.
Brdys, M. A.
Tematy:: optimizing
model predictive control
MPC
Robustly Feasible MPC
RFMPC
Drinking
Water Distribution Systems
DWDS
genetic algorithm; Pokaż więcej
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Powiązania:: https://bibliotekanauki.pl/articles/91723.pdf Link otwiera się w nowym oknie
Opis:: The paper considers optimizing Model Predictive Control (MPC) for nonlinear plants with output constraints under uncertainties. Although the MPC technology can handle the constraints in the model by solving constraint model based optimization task, satisfying the plant output constraints under the model uncertainty still remains a challenge. The paper proposes Robustly Feasible MPC (RFMPC), which achieves feasibility of the outputs in the controlled plant. The RFMPC which is applied to control quantity in Drinking Water Distribution Systems (DWDS) is illustrated by application to the DWDS example. In the simulation exercise, Genetic Algorithm is selected as the optimization solver and the reduced search space methodology is applied in the implementation under MATLABEPANET environment.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Mining deployment optimization
Optymalizacja rozmieszczenia wyposażenia w kopalniach
Autorzy:: Čech, J.
Tematy:: rozmieszczenie wyposażenia
planowanie kopalni
optymalizacja
programowanie liniowe
system wspomagający podejmowanie decyzji
deployment problem
mine planning
optimizing
linear programming
decision support system; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/219660.pdf Link otwiera się w nowym oknie
Opis:: The deployment problem, researched primarily in the military sector, is emerging in some other industries, mining included. The principal decision is how to deploy some activities in space and time to achieve desired outcome while complying with certain requirements or limits. Requirements and limits are on the side constraints, while minimizing costs or maximizing some benefits are on the side of objectives. A model with application to mining of polymetallic deposit is presented. To obtain quick and immediate decision solutions for a mining engineer with experimental possibilities is the main intention of a computer-based tool. The task is to determine strategic deployment of mining activities on a deposit, meeting planned output from the mine and at the same time complying with limited reserves and haulage capacities. Priorities and benefits can be formulated by the planner.
Podobnie jak w wojskowości, problem rozmieszczenia wyposażenia pojawia się w wielu gałęziach przemysłu, w tym także górnictwie. Reguły decyzyjne określają jak rozmieścić określone czynności w przestrzeni aby uzyskać pożądane rezultaty w sposób zapewniający zgodność z określonymi wymogami, zapewniający dotrzymanie limitów narzuconych przez ograniczenia, a ponadto by zminimalizować koszty lub maksymalizować korzyści. Przedstawiono model mający zastosowanie do wydobycia złoża metali. Głównym założeniem odpowiedniego narzędzia komputerowego jest dostarczanie inżynierom górnictwa natychmiastowego rozwiązania decyzyjnego z możliwością eksperymentowania. Zadanie polega na określeniu rozmieszczenia czynności górniczych w obrębie złoża, tak by spełnić założenia odnośnie wielkości wydobycia, jednocześnie biorąc pod uwagę ograniczenia mocy przerobowych systemów transportowych, na pierwszym miejscu stawiając zakładane priorytety i korzyści, co jest zadaniem planistów.
Dostawca treści:: Biblioteka Nauki

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