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    Wyświetlanie 1-9 z 9
    Tytuł:
    The effect of ball size distribution on power draw, charge motion and breakage mechanism of tumbling ball mill by discrete element method (DEM) simulation
    Autorzy:
    Panjipour, R.
    Barani, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/110020.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    discrete element method
    ball mill
    ball size distribution
    mill power
    breakage mechanism
    Opis:
    In this research, the effect of ball size distribution on the mill power draw, charge motion regime and breakage mechanism in a laboratory ball mill was studied using the discrete element method (DEM) simulation. The mill shell and crushing balls were made of Plexiglas® and compressed glass, respectively. Modeling was performed using Particle Flow Code 3D (PFC3D). Model parameters were back-calculated by comparing the power draws and images obtained from simulation and laboratory test works. After determining the model parameters, the mill was simulated in mill fillings of 15, 20, 25, 30, 35 and 40% with ball media of 2 and 2.5 cm in diameter. For every mill filling, the numbers of big and small balls were changed and 11 scenarios were chosen. The results showed that at a constant mill filling, the power draw was changed with changing the ball size distribution and for all mill fillings the maximum power draw occurred when the fraction of small balls was between 30-40%. The effect of ball size distribution increased with increasing mill filling and for the mill filling of 35%, the ball size distribution had the maximum effect on the power draw. When the mill charge contained mono-sized balls, the ball flow regime inside the mill transited to the cataracting and impact breakage was the main breakage mechanism. Increasing the fraction of big balls from 0 to 70% led the flow of balls into the cascading regime and breakage mechanism to attrition.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2018, 54, 2; 258-269
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The identification method of the coal mill motor power model with the use of machine learning techniques
    Autorzy:
    Łabęda-Grudziak, Zofia Magdalena
    Lipiński, Mariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2090698.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    coal mill motor power
    nonlinear model identification
    machine learning
    additive regression models
    process monitoring
    moc silnika młyna węglowego
    identyfikacja modelu nieliniowa
    nauczanie maszynowe
    model regresji addytywny
    monitorowanie procesu
    Opis:
    The article presents an identification method of the model of the ball-and-race coal mill motor power signal with the use of machine learning techniques. The stages of preparing training data for model parameters identification purposes are described, as well as these aimed at verifying the quality of the evaluated model. In order to meet the tasks of machine learning, additive regression model was applied. Identification of the additive model parameters was performed on the basis of iterative backfitting algorithm combined with nonparametric estimation techniques. The proposed models have predictive nature and are aimed at simulation of the motor power signal of a coal mill during its regular operation, startup and shutdown. A comparative analysis has been performed of the models structured differently in terms of identification quality and sensitivity to the existence of an exemplary disturbance in the form of overhangs in the coal bunker. Tests carried out on the basis of real measuring data registered in the Polish power unit with a capacity of 200 MW confirm the effectiveness of the method.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; e135842, 1--9
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The identification method of the coal mill motor power model with the use of machine learning techniques
    Autorzy:
    Łabęda-Grudziak, Zofia Magdalena
    Lipiński, Mariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2086819.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    coal mill motor power
    nonlinear model identification
    machine learning
    additive regression models
    process monitoring
    moc silnika młyna węglowego
    nieliniowa identyfikacja modelu
    nauczanie maszynowe
    model regresji addytywny
    monitorowanie procesu
    Opis:
    The article presents an identification method of the model of the ball-and-race coal mill motor power signal with the use of machine learning techniques. The stages of preparing training data for model parameters identification purposes are described, as well as these aimed at verifying the quality of the evaluated model. In order to meet the tasks of machine learning, additive regression model was applied. Identification of the additive model parameters was performed on the basis of iterative backfitting algorithm combined with nonparametric estimation techniques. The proposed models have predictive nature and are aimed at simulation of the motor power signal of a coal mill during its regular operation, startup and shutdown. A comparative analysis has been performed of the models structured differently in terms of identification quality and sensitivity to the existence of an exemplary disturbance in the form of overhangs in the coal bunker. Tests carried out on the basis of real measuring data registered in the Polish power unit with a capacity of 200 MW confirm the effectiveness of the method.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; art. no. e135842, 1--9
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Improvement of the accuracy of Hogg and Fuerstenaus model in predicting the power draw of ball mills based on determining the grinding media’s dynamic voidage
    Autorzy:
    Golpayegani, Mohammad Hasan
    Rezai, Bahram
    Powiązania:
    https://bibliotekanauki.pl/articles/2175427.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    voidage
    grinding media
    ball mill
    Hogg model
    Fuerstenau's model
    power draw
    Opis:
    In the development of tumbling mills' power models, the voidage of grinding media is assumed to be static and equal to 40%. While the grinding media’s voidage is dynamic; and hence is varied by changing the operating parameters. In this paper, to improve the Hogg and Fuerstenau model's accuracy in predicting the ball mills' power draw, the grinding media's static and dynamic voidage was studied for Bond's proposed ball size distributions (BSD) for the ball mills' first filling. To this end, by scaling down balls to one-tenth of actual size, developing a novel method to measure the dynamic voidage, and employing the three-level factorial method, a separate empirical model was developed for determining the dynamic voidage of each Bond's BSD with respect to mill's fractional filling and rotating speed. Moreover, using the multiple regression method, a general empirical model was derived to determine the dynamic voidage of each supposed BSD based on calculating the mean absolute deviation of balls diameter (MAD). Results indicated that grinding media's dynamic voidage increases with an increase in rotating speed and a decrease in fractional filling and balls diameter's MAD. The maximum and minimum static and dynamic voidage occurred for the seventh and first Bond's BSDs. By employing an industrial database and analyzing the mean absolute percentage error (MAPE) of predicted ball mills' power draw, it was found that the Hogg and Fuerstenau model's accuracy enhances by calculating the load's bulk density based on the grinding media's dynamic voidage.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2022, 58, 6; art. no. 153380
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction and optimization of tower mill grinding power consumption based on GA-BP neural network
    Autorzy:
    Wang, Ziyang
    Hou, Ying
    Sobhy, Ahmed
    Powiązania:
    https://bibliotekanauki.pl/articles/27323660.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    tower mill
    grinding power consumption
    energy saving
    genetic algorithm
    BP neural network
    Opis:
    Grinding is commonly responsible for the liberation of valuable minerals from host rocks but can entail high costs in terms of energy and medium consumption, but a tower mill is a unique power-saving grinding machine over traditional mills. In a tower mill, many operating parameters affect the grinding performance, such as the amount of slurry with a known solid concentration, screw mixer speed, medium filling rate, material-ball ratio, and medium properties. Thus, 25 groups of grinding tests were conducted to establish the relationship between the grinding power consumption and operating parameters. The prediction model was established based on the backpropagation “BP” neural network, further optimized by the genetic algorithm GA to ensure the accuracy of the model, and verified. The test results show that the relative error of the predicted and actual values of the backpropagation “BP” neural network prediction model within 3% was reduced to within 2% by conducting the generic algorithm backpropagation “GA-BP” neural network. The optimum grinding power consumption of 41.069 kWh/t was obtained at the predicted operating parameters of 66.49% grinding concentration, 301.86 r/min screw speed, 20.47% medium filling rate, 96.61% medium ratio, and 0.1394 material-ball ratio. The verifying laboratory test at the optimum conditions, produced a grinding power consumption of 41.85 kWh/t with a relative error of 1.87%, showing the feasibility of using the genetic algorithm and BP neural network to optimize the grinding power consumption of the tower mill.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2023, 59, 6; art. no. 172096
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wybrane parametry jakości energii elektrycznej pobieranej przez napęd walcarki kształtowników
    The selected power quality parameters of electricity consumed by the drive of the profile rolling mill
    Autorzy:
    Gała, M.
    Jagieła, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/1199508.pdf
    Data publikacji:
    2017
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Napędów i Maszyn Elektrycznych Komel
    Tematy:
    jakość energii elektrycznej
    wyższe harmoniczne
    walcarka kształtowników
    power quality
    harmonics
    profile rolling mill
    Opis:
    The paper presents analysis of parameters characterizing electric power consumed at the industrial medium voltage switchgear by a twelve-pulse converter drive with reverse and flow regulation in the excitation circuit of the profile rolling mill. Measurements concerning the instantaneous values of voltages and currents for different conditions of the drive operation were the basis for the calculation analysis of power and subsequently specific power quality parameters such as distribution spectra of individual voltage and current harmonics as well as voltage and current THD harmonics content factors. The calculation analysis of individual powers and the harmonic signals distribution was carried out by means of MATLAB utility software. The paper presents interesting courses of THD factors changes as function of current and load power of regulated thyristor drive of direct current. The results of measurements and analyses allowed conclusions and project regulations to be formulated.
    Przedmiotem artykułu jest analiza parametrów charakteryzujących pobieraną energię elektryczną z przemysłowej rozdzielni średniego napięcia przez przekształtnikowy napęd dwunastopulsowy z rewersem i regulacją strumienia w obwodzie wzbudzenia walcarki kształtowników. Na podstawie badań pomiarowych, dotyczących wartości chwilowych napięć i prądów dla różnych warunków pracy napędu, przeprowadzono analizę zmian mocy oraz wyznaczono wartości charakterystycznych parametrów określających jakość energii elektrycznej, takich jak: asymetria, widma rozkładów poszczególnych harmonicznych napięć międzyprzewodowych i prądów fazowych oraz współczynniki zawartości wyższych harmonicznych THD tych wielkości. Obliczenia oraz analizę poszczególnych mocy oraz rozkładów harmonicznych sygnałów przeprowadzono z wykorzystaniem środowiska MATLAB. W pracy przedstawiono interesujące przebiegi zmian współczynników THD napięć w funkcji mocy obciążenia regulowanego napędu tyrystorowego prądu stałego. Uzyskane wyniki pomiarów i analiz pozwoliły na sformułowanie wniosków i zaleceń projektowych.
    Źródło:
    Maszyny Elektryczne: zeszyty problemowe; 2017, 2, 114; 9-15
    0239-3646
    2084-5618
    Pojawia się w:
    Maszyny Elektryczne: zeszyty problemowe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Dwusekcyjny filtr piątej harmonicznej do kompensacji mocy biernej napędów walcarek rur
    Bisectional 5th harmonic filter for reactive power compensation of pipe rolling mill drives
    Autorzy:
    Jagieła, K.
    Gała, M.
    Rak, M.
    Kępiński, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1369646.pdf
    Data publikacji:
    2012
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Napędów i Maszyn Elektrycznych Komel
    Tematy:
    dwusekcyjny filtr piątej harmonicznej
    kompensacja mocy biernej
    napęd
    bisectionat 5th harmonic filter
    reactiv power compensation
    pipe rolling mill
    Opis:
    The article deals with a designed and practically applied bisectional passive filter that works as a reactive power compensator as well as suppresses the 5th harmonic of the supply voltage. There are presented calculations concerning harmonic currents in the supply power and in the switched sections of the 5th harmonic filter. The calculations are illustrated by diagrams of current transfer functions versus the harmonic order. In the second part of the article there are presented time variations of parameters of the electric Power consumed by a high power dc converter drive applied to a pipe rolling mill. These quantities include: Power factor tg?, the mean phase current in the supply circuit and the percentage content of the chase voltage 5th harmonic for different configurations of the filter compensator. The presented measurements and analysis allow to formulate conclusions and design recommendations.
    Źródło:
    Maszyny Elektryczne: zeszyty problemowe; 2012, 3, 96; 13-18
    0239-3646
    2084-5618
    Pojawia się w:
    Maszyny Elektryczne: zeszyty problemowe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Laboratory studies of an electromagnetic mill inductor with a power source
    Autorzy:
    Styła, S
    Powiązania:
    https://bibliotekanauki.pl/articles/411195.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    electromagnetic mill
    magnetic field inductor
    current intensity
    magnetic induction
    power factor
    młyn elektromagnetyczny
    induktor pola magnetycznego
    natężenie prądu
    indukcja magnetyczna
    współczynnik mocy
    Opis:
    The article presents the laboratory research of a prototype device for grinding and mixing materials, known as an electromagnetic mill. Studies were made of the circuit of the mill inductor, covering the analysis of the current intensity, magnetic induction and power factor during operation. The article further shows the laboratory stand and research equipment used during the measurements.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2017, 6, 2; 109-114
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Preventing the development of emergency modes of interlocked electric drives of a rolling mill under the impact loads
    Autorzy:
    Druzhinin, Valeriy
    Sivyakova, Galina
    Kalinin, Alexey
    Tytiuk, Valerii
    Nikolenko, Anatolii
    Kuznetsov, Vitaliy Vadimovich
    Kuzmenko, Mykhailo
    Powiązania:
    https://bibliotekanauki.pl/articles/2174475.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    power supply network
    voltage drops
    electric drive
    hot rolling mill
    mathematical modeling
    simulation modeling
    sieć zasilająca
    spadki napięcia
    napęd elektryczny
    modelowanie matematyczne
    modelowanie symulacyjne
    Opis:
    In recent years, due to the tightening of competition in the global market of steel producers, the requirements for the quality of hot-rolled steel have increased. The finishing group of the rolling mill is characterized by a complex structure of mechanical and electrical parts. The operation of electric drive systems of such units is characterized by the interrelation of electromagnetic processes, mechanical phenomena and technological factors. As experimental studies have shown, the quality of the supply voltage is inextricably linked with the impact nature of the loads in the rolling stands of the roughing and finishing groups of the hot rolling mill. A decrease in the supply voltage may be accompanied by the development of emergency modes of synchronous electric drives, leading to a decrease in the quality of the finished product.The paper developed a mathematical model of the power supply system of the rolling mill JSC "ArcelorMittal Temirtau". It is shown that this can lead to loss of synchronism of the synchronous motor. Such a voltage drop has a significant impact on the operation of DC electric drives of the finishing group. Various strategies are proposed to counter the development of emergency situations.
    Źródło:
    Diagnostyka; 2023, 24, 1; art. no. 2023105
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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