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Wyświetlanie 1-3 z 3
Tytuł:
Analysis of Temperatures in the Cold Storage of Finished Products
Autorzy:
Bogdanovská, Gabriela
Stehlíková, Beáta
Kačur, Ján
Powiązania:
https://bibliotekanauki.pl/articles/102539.pdf
Data publikacji:
2019
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
cold storage warehouse
temperature monitoring
temperature fluctuations
statistical evaluation
Kruskal-Wallis test
Bartlett test
Nemenyi’s test
magazyn chłodniczy
monitorowanie temperatury
wahania temperatury
ocena statystyczna
test Kruskala-Wallisa
test Bartletta
test Nemenyi
Opis:
The analysis of temperatures in the cold store of finished products was performed due to the occurrence of temperature fluctuations. The analysis in the report was conducted using Kruskal-Wallis test, Bartlett test, Nemenyi’s test Statistical analysis of measured values in individual months. The relationship between the temperature in the cold store and the outside air temperature was investigated. Quality tools were also used in the thesis. The causes of temperature fluctuations were determined by Cause-Effect diagnostics. The relationship between the main causes was analyzed with Relation Diagram. Corrective measures were then determined to minimize the temperature fluctuations in the cold store.
Źródło:
Advances in Science and Technology. Research Journal; 2019, 13, 3; 54-66
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Proposal of a Method for Measuring Gas Flow in a Heating Furnace: A Simulation Study
Autorzy:
Pástor, Marcel
Durdán, Milan
Kačur, Ján
Laciak, Marek
Flegner, Patrik
Powiązania:
https://bibliotekanauki.pl/articles/2023997.pdf
Data publikacji:
2021
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
modeling
simulation
flue gas
burners
gas flows
volume zones
Opis:
Metallurgy, as one of the oldest industries, is currently experiencing a technological boom in an effort to increase production efficiency with the least possible impact on the environment. Modeling methods make it possible to design and simulate a technological process or technological equipment for conditions that take into account the above-mentioned aspects. For this reason, the article focuses on the use of simulation modeling using accessible computer technologies in order to improve the operation of heating aggregates with the metal-bearing batch, such as a continuous heating furnace. The paper describes the methodology for modeling the flow of flue gases in the working space of a gas heating furnace, which results in their enthalpy representation. A simulation study was performed for a gas-fired furnace used to heat gates. Three case studies were simulated with set values of on and off burners and fuel flow to them. The effect of these parameters on the total amount of recirculated flue gas was investigated. The results showed that the fuel flow regulation to the burners at the material inlet into the furnace had a higher effect on the overall recirculation than the switching on and off the burners on the furnace's outlet side. The results pointed to critical points on the inner shell of the furnace, which could be the most critically thermally stressed, for example, in the places of the collision of opposing flue gas flows.
Źródło:
Advances in Science and Technology. Research Journal; 2021, 15, 2; 1-12
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Soft-Sensing in Batch Annealing Based on Finite Differential Method and Support Vector Regression
Autorzy:
Kačur, Ján
Durdán, Milan
Laciak, Marek
Flegner, Patrik
Powiązania:
https://bibliotekanauki.pl/articles/103270.pdf
Data publikacji:
2019
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
annealing
steel coil
temperature measurement
soft-sensing
finite differences method
support vector regression
wyżarzanie
cewka stalowa
pomiar temperatury
wyczuwanie
metoda różnic skończonych
regresja wektora nośnego
Opis:
The temperature of annealed steel coils is a determining variable of the future steel sheets quality. This variable also determines the energy consumption in operation. Unfortunately, the monitoring of coil inner temperature is problematic due to the furnace environment with high temperature, coil structure, and annealing principle. Currently, there are no measuring principles that can measure the temperature inside the heat-treated product in a non-destructive manner. In this paper, the soft sensing of inner temperature based on the theory of non-stationary heat conduction and approach based on Support Vector Regression (SVR) was presented. The results showed that a black-box approach based on the SVR could replace an analytic approach, though with lesser performance. Several annealing experiments were performed to create a training data set and model performance improvement in the estimation of inner coil temperatures. The proposed software based on non-stationary heat conduction can calculate the behavior of inner coil temperature from the measured boundary temperatures that are measured by thermocouples. The soft-sensing principles presented in this paper were verified under laboratory conditions and on the data obtained from a real annealing plant.
Źródło:
Advances in Science and Technology. Research Journal; 2019, 13, 4; 70-86
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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