Wszystkie pola: Zhang, Tao - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Fast attack detection method for imbalanced data in industrial cyber-physical systems
Autorzy:: Huang, Meng
Li, Tao
Li, Beibei
Zhang, Nian
Huang, Hanyuan
Powiązania:: https://bibliotekanauki.pl/articles/23944834.pdf
Data publikacji:: 2023
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: intrusion detection system
industrial cyber-physical Systems
imbalanced data
all k-nearest neighbor
LightGBM
Opis:: Integrating industrial cyber-physical systems (ICPSs) with modern information technologies (5G, artificial intelligence, and big data analytics) has led to the development of industrial intelligence. Still, it has increased the vulnerability of such systems regarding cybersecurity. Traditional network intrusion detection methods for ICPSs are limited in identifying minority attack categories and suffer from high time complexity. To address these issues, this paper proposes a network intrusion detection scheme, which includes an information-theoretic hybrid feature selection method to reduce data dimensionality and the ALLKNN-LightGBM intrusion detection framework. Experimental results on three industrial datasets demonstrate that the proposed method outperforms four mainstream machine learning methods and other advanced intrusion detection techniques regarding accuracy, F-score, and run time complexity.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2023, 13, 4; 229--245
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Infrared small-target detection under a complex background based on a local gradient contrast method
Autorzy:: Yang, Linna
Xie, Tao
Liu, Mingxing
Zhang, Mingjiang
Qi, Shuaihui
Yang, Jungang
Powiązania:: https://bibliotekanauki.pl/articles/2201024.pdf
Data publikacji:: 2023
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: small target detection
local gradient contrast
visual saliency
infrared image processing
kontrast lokalny
wyróżnienie wizualne
obrazowanie w podczerwieni
Opis:: Small target detection under a complex background has always been a hot and difficult problem in the field of image processing. Due to the factors such as a complex background and a low signal-to-noise ratio, the existing methods cannot robustly detect targets submerged in strong clutter and noise. In this paper, a local gradient contrast method (LGCM) is proposed. Firstly, the optimal scale for each pixel is obtained by calculating a multiscale salient map. Then, a subblockbased local gradient measure is designed; it can suppress strong clutter interference and pixel-sized noise simultaneously. Thirdly, the subblock-based local gradient measure and the salient map are utilized to construct the LGCM. Finally, an adaptive threshold is employed to extract the final detection result. Experimental results on six datasets demonstrate that the proposed method can discard clutters and yield superior results compared with state-of-the-art methods.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2023, 33, 1; 33--43
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Method of vibration signal processing and load-type identification of a mill based on ACMD-SVD
Metoda przetwarzania sygnału drganiowego i identyfikacji typu obciążenia młyna na podstawie ACMD-SVD
Autorzy:: Tang, Wencong
Zhang, Fangwei
Luo, Xiaoyan
Wan, Junliang
Deng, Tao
Powiązania:: https://bibliotekanauki.pl/articles/2203306.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN
Tematy:: feature information
mill load
ACMD
SVD
variable distance classifier
feature vector
informacja o cechach
obciążenie młyna
wektor cech
Opis:: Green mine construction is the main melody of mining development and problems such as safe production, energy saving and consumption reduction need to be solved urgently. The working conditions of the mill are complex in the process of grinding. Aiming at the problems existing in the feature extraction and load prediction of the mill, a signal-processing method based on adaptive chirp mode decomposition (ACMD) and a standardized variable distance classifier (SVD) is proposed. Firstly, the recursive framework of the ACMD method is used to obtain the initial frequency of mill vibration signals. Secondly, the initial frequency is used to reconstruct the high-resolution component of the mill vibration signal through the iterative frame in the ACMD method. The frequency corresponding to the frequency domain peak of the reconstructed signal is then selected as the mill load feature vector. Finally, with consideration to the influence of standard deviation and standardized variable factors on the feature vectors, a standardized variable distance classifier is proposed. The feature vectors of the mill load are input into the SVD model for training, and the state types of the mill load are obtained. The method is applied to the grinding experiment and the results show that the frequency-domain features obtained by the mill vibration signal-processing method based on ACMD-SVD are obvious, which has high accuracy in the identification of mill load types, and provides a new idea for the extraction of mill load features and prediction of the mill load.
Budowa zielonej kopalni jest główną melodią rozwoju górnictwa, a problemy takie jak: bezpieczna produkcja, oszczędność energii i redukcja zużycia wymagają pilnego rozwiązania. Warunki pracy młyna w procesie mielenia są złożone. Mając na celu rozwiązanie problemów występujących w ekstrakcji cech i przewidywaniu obciążenia młyna, zaproponowano metodę przetwarzania sygnału opartą na dekompozycji w trybie adaptacyjnym ACMD (Adaptive Chirp Made Decomposition) i znormalizowanym klasyfikatorze zmiennej odległości SVD (Variable Distance Classifier). Po pierwsze, rekurencyjna struktura metody ACMD jest wykorzystywana do uzyskania początkowej częstotliwości sygnałów drgań młyna. Po drugie, częstotliwość początkowa jest wykorzystywana do rekonstrukcji wysokorozdzielczej składowej sygnału drgań młyna poprzez ramkę iteracyjną w metodzie ACMD. Częstotliwość odpowiadająca pikowi w dziedzinie częstotliwości rekonstruowanego sygnału jest następnie wybierana jako wektor cech obciążenia młyna. Na koniec, biorąc pod uwagę wpływ odchylenia standardowego i standaryzowanych czynników zmiennych na wektory cech, zaproponowano standaryzowany klasyfikator odległości o zmiennej długości. Wektory cech obciążenia młyna są wprowadzane do modelu SVD w celu uczenia i uzyskiwane są typy stanu obciążenia młyna. Metodę zastosowano w eksperymencie mielenia, a wyniki pokazują, że cechy w dziedzinie częstotliwości uzyskane za pomocą metody przetwarzania sygnału drgań młyna opartej na ACMD-SVD są oczywiste, co ma wysoką dokładność w identyfikacji typów obciążeń młyna i zapewnia nowy pomysł na ekstrakcję cech obciążenia młyna i predykcję obciążenia młyna.
Źródło:: Gospodarka Surowcami Mineralnymi; 2023, 39, 1; 217--233
0860-0953
Pojawia się w:: Gospodarka Surowcami Mineralnymi
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Research on Railway Track Edge Detection Based on BM3D and Zernike Moments
Autorzy:: Wang, Nan
Huo, Tao
Zhang, Tianming
Powiązania:: https://bibliotekanauki.pl/articles/32378338.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: rail track
edge detection
BM3D
Zernike moments
Canny's operator
tor kolejowy
krawędzie
moment Zernika
Opis:: With the rapid development of intelligent rail transportation, the realization of intelligent detection of railroad foreign body intrusion has become an important topic of current research. Accurate detection of rail edge location, and then delineate the danger area is the premise and basis for railroad track foreign object intrusion detection. The application of a single edge detection algorithm in the process of rail identification is likely to cause the problem of missing important edges and weak gradient change edges of railroad tracks. It will affect the subsequent detection of track foreign objects. A combined global and local edge detection method is proposed to detect the edges of railroad tracks. In the global pixel-level edge detection, an improved blok-matching and 3D filtering (BM3D) algorithm combined with bilateral filtering is used for denoising to eliminate the interference information in the complex environment. Then the gradient direction is added to the Canny operator, the computational template is increased to achieve non-extreme value suppression, and the Otsu thresholding segmentation algorithm is used for thresholding improvement. It can effectively suppress noise while preserving image details, and improve the accuracy and efficiency of detection at the pixel level. For local subpixel-level edge detection, the improved Zernike moment algorithm is used to extract the edges of the obtained pixel-level images and obtain the corresponding subpixel-level images. It can enhance the extraction of tiny feature edges, effectively reduce the computational effort and obtain the subpixel edges of the orbit images. The experimental results show that compared with other improved algorithms, the method proposed in this paper can effectively extract the track edges of the detected images with higher accuracy, better preserve the track edge features, reduce the appearance of pseudo-edges, and shorten the edge detection time with certain noise immunity, which provides a reliable basis for subsequent track detection and analysis.
Źródło:: Archives of Transport; 2023, 68, 4; 7-20
0866-9546
2300-8830
Pojawia się w:: Archives of Transport
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Research on resilience model of UAV swarm based on complex network dynamics
Autorzy:: Wei, Kunlun
Zhang, Tao
Chuanfu, Zhang
Powiązania:: https://bibliotekanauki.pl/articles/28328275.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:: UAV swarm
resilience
SIS
system dynamics
topology
Opis:: Unmanned Aerial Vehicle (UAV) swarms are utilized in various missions and operated within an open environment that is prone to disruptions. The resilience of UAV swarms, an important requirement, mainly revolves around ensuring stable and uninterrupted operations. Malicious attacks can implement the adverse impacts of potential threats through swarm communication links. In this context, the SIS (Susceptible → Infected → Susceptible) method is suitable for describing the information transmission within UAV swarms. An enhanced resilience model of the UAV swarm is proposed in this study, which incorporates the factors of self-dynamics, dynamics of topology, dynamics of information transmission, and SIS into the complex network model. Self-dynamics refer to the internal dynamics of the drones. In this paper, dynamics of topology consist of three factors: the varying distance between drones, the incoming degrees of each drone, and the number of communication types between drones. Lastly, dynamics of information transmission are characterized by SIS. The model proposed in this paper has the capability to effectively capture changes in the network topology as well as the dynamics of the system, which are significant contributors to the loss of resilience. And then, the average number of susceptible drones is utilized as the metric to evaluate the resilience of the swarm. Furthermore, an experiment is conducted where a UAV swarm successfully carries out a surveillance mission to demonstrate the advantages of our proposed method. The proposed model not only enables the support of mission planning but also facilitates the design enhancements of UAV swarms.
Źródło:: Eksploatacja i Niezawodność; 2023, 25, 4; art. no. 173125
1507-2711
Pojawia się w:: Eksploatacja i Niezawodność
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Identification of the heat source and thermal material model parameters for the laser engineered net shaping
Autorzy:: Hajder, Lucyna
Zhang, Tao
Nguyen, Vu
Powiązania:: https://bibliotekanauki.pl/articles/29520077.pdf
Data publikacji:: 2022
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: additive manufacturing
finite element analysis
heat source model
thermal analysis
Opis:: The research’s primary goal is to identify the heat source and thermal material model parameters for the numerical simulation of the laser engineered net shaping (LENS). Inconel 718 was selected as a case study for the current investigation. The LENS process’s numerical model was developed within commercial finite element software and was used as a direct problem model during the parameter identification stage. Experimental data were obtained based on a rectangular-shaped sample with thermocouples located under the based material surface. The recorded thermal profiles were used to establish a goal function for the parameter identification stage. As a result, parameters describing the melt pool geometry during the additive manufacturing, as well as thermal coefficients describing interactions between the sample material and surrounding/base material, were determined.
Źródło:: Computer Methods in Materials Science; 2022, 22, 1; 43-54
2720-4081
2720-3948
Pojawia się w:: Computer Methods in Materials Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Influence of Annealing Treatment on Deep Drawing Behavior of Q235 Carbon Steel /410/304 Stainless Steels Three-Layer Composite Plate
Autorzy:: Lv, Zehua
Zhang, Zhixiong
Han, Jianchao
Wang, Tao
Powiązania:: https://bibliotekanauki.pl/articles/2106574.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: composite plate
deep drawing
annealing
microstructure
Opis:: Effect of annealing treatment on deep drawing behavior of hot-rolled Q235 carbon steel/410/304 stainless steel three-layer composite plate was investigated. Deep drawability of the unannealed composite plates exhibits a sharp difference for various contact surfaces with the die. The limit drawing ratio (LDR) of the composite plate with the carbon steel contacting the die is 1.75, while it is 1.83 with the stainless steel contacting the die due to the different mechanical responses to the tensile stress at the corner of the die. After annealing at 900°C for 2 h, however, the deep drawabilities of the composite plates both for various contact surfaces with the die are significantly improved and becomes almost identical, which are attributed to the stress relief, the enhanced ductility and the improved interface bonding strength of the hot-rolled component plates during annealing.
Źródło:: Archives of Metallurgy and Materials; 2022, 67, 2; 421--433
1733-3490
Pojawia się w:: Archives of Metallurgy and Materials
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Research on new process for separation of silicon wafers and glass from decommissioned photovoltaic module
Autorzy:: Zhang, Jian wen
Wang, Hai dong
Zhang, Sheng guang
Liang, Han
Guo, Hui
Tao, Si-yao
Powiązania:: https://bibliotekanauki.pl/articles/2175425.pdf
Data publikacji:: 2022
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: crystalline silicon photovoltaic modules
decommissioned photovoltaic modules
silicon
solar cell
tempered glass
vibration separation
Opis:: In view of the disadvantages of the existing electrostatic separation process of decommissioned photovoltaic modules, which can only achieve the separation of fine silicon wafers and glass and has high energy consumption, a new process to solve the efficient dry separation of coarse silicon wafers and glass in decommissioned photovoltaic modules is proposed- the vibration separation method. Based on the theoretical analysis of the vibration separation of flaky silicon wafer and polyhedral glass particles, the effects of feed size, feed amount, vibration voltage, vibration frequency, horizontal inclination angle and longitudinal inclination angle on the product indexes of wafer and glass separation were investigated by single factor experiment. The optimal experimental conditions were obtained as follows: feed particle size +0.83mm, feed amount 0.15 t/h, vibration voltage 190 V, vibration frequency 48 Hz, horizontal inclination Angle 8°, longitudinal inclination Angle 3°. Under this optimized condition, the content of metal Si in the obtained silicon wafer product is 84.47%, the recovery rate of is 83.73%, the content of impurity SiO2 is 1.09%, and the content of SiO2 in the obtained glass product is 65.69%, and the recovery rate is 98.95%, the impurity metal Si content is 0.56%. This study provides a research idea for the industrial separation of silicon wafers and glass from decommissioned photovoltaic modules.
Źródło:: Physicochemical Problems of Mineral Processing; 2022, 58, 6; art. no. 151679
1643-1049
2084-4735
Pojawia się w:: Physicochemical Problems of Mineral Processing
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Thermal error modeling of spindle and dynamic machining accuracy reliability analysis of CNC machine tools based on IA and LHSMC
Autorzy:: Zhang, Ziling
Feng, Shuo
Ding, Yan
Mei, Xiao
Tao, Zhiqiang
Powiązania:: https://bibliotekanauki.pl/articles/2057984.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:: electric spindle unit
thermal error
latin hypercube sampling monte carlo method
finite element simulation
machining accuracy reliability
Opis:: Machining accuracy reliability as a key index of CNC machine tools is seriously influenced by the geometric and thermal errors. In the paper, a spindle unit thermal error modeling and machining accuracy reliability analysis method is proposed. By analyzing the heat generation mechanism, a thermal error model was developed to describe the thermal deformation of the electric spindle. Based on the immune algorithm (IA), the heat generation power and the heat transfer coefficient were optimized, and the thermal error was obtained by finite element thermal-mechanical coupling. By adopting the multi-body system theory (MBS), a dynamic machining accuracy model was put forward including the geometric and thermal errors. Based on the Latin hypercube sampling Monte Carlo method (LHSMC), a machining accuracy reliability analysis method was proposed to characterize the machining accuracy reliability considering the geometric and thermal errors. The method was employed to a machine tool, and the experimental results indicate the verification and superiority of the method.
Źródło:: Eksploatacja i Niezawodność; 2022, 24, 1; 100--113
1507-2711
Pojawia się w:: Eksploatacja i Niezawodność
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Alkali Degumming and Refining Technology for Chinese Fevervine Fibre
Alkaliczna technologia odklejania i rafinacji chińskiego włókna Fevervine
Autorzy:: Hongwei, Zhang
Dongfeng, Shao
Jianqin, Tao
Powiązania:: https://bibliotekanauki.pl/articles/1857701.pdf
Data publikacji:: 2021
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Tematy:: Chinese Fevervine fibre
alkali degumming
scouring
spinnability
fibre property
włókno
odklejanie alkaliczne
przędzenie
właściwości włókien
Opis:: In this paper, the Rubiaceae Chinese Fevervine stem was used as raw material, with pool dipping, manual decorticating, acid dipping and sodium hydroxide scouring twice as the degumming method, to produce Chinese Fevervine Fibre (CF fibre). Through an orthogonal experiment, optimised two-fold sodium hydroxide degumming using refining technology was achieved: in the first alkali degumming, the NaOH concentration was 1.4% at a temperaturę of 95 °C for 3.5 hours; in the second , the NaOH concentration was 0.8% at a temperature of 95 °C for 2.5 hours; and in the acid dipping, the sulfuric acid concentration was 6% at room temperature for 0.5 hours. The CF fibre produced has a spinnability of 39.90 mm length, a linear density of 2.82 dtex, a tenacity of 18.56 cN/dtex, and a break elongation of 2.81%.
W pracy omówiono proces wytwarzania chińskiego włókna Fevervine (włókno CF). Poprzez eksperyment ortogonalny uzyskano zoptymalizowane dwukrotne odklejanie wodorotlenkiem sodu przy użyciu technologii rafinacji: w pierwszym odklejaniu alkalicznym stężenie NaOH wynosiło 1.4% w temperaturze 95 °C przez 3.5 godziny; w drugim stężenie NaOH wynosiło 0.8% w temperaturze 95 °C przez 2.5 godziny; a podczas zanurzania w kwasie stężenie kwasu siarkowego wynosiło 6% w temperaturze pokojowej przez 0.5 godziny. Wytworzone włókno CF miało zdolność przędzenia i długości 39.90 mm, gęstość liniową 2.82 dtex, wytrzymałość na rozciąganie 18.56 cN/dtex oraz wydłużenie przy zerwaniu 2.81%.
Źródło:: Fibres & Textiles in Eastern Europe; 2021, 4 (148); 39-42
1230-3666
2300-7354
Pojawia się w:: Fibres & Textiles in Eastern Europe
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Research on hybrid modeling and predictive energy management for power split hybrid electric vehicle
Autorzy:: Wang, Shaohua
Zhang, Sheng
Shi, Dehua
Sun, Xiaoqiang
Yang, Tao
Powiązania:: https://bibliotekanauki.pl/articles/2173576.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: power split HEV
energy management
mixed logical dynamical model
piecewise affine
model predictive control
podział mocy
zarządzanie energią
silnik hybrydowy
model dynamiczny
model mieszany
model logiczny
technologia fragmentarycznie pokrewna
kontrola predykcyjna modelu
Opis:: Due to the coexistence of continuity and discreteness, energy management of a multi-mode power split hybrid electric vehicle (HEV) can be considered a typical hybrid system. Therefore, the hybrid system theory is applied to investigate the optimum energy distribution strategy of a power split multi-mode HEV. In order to obtain a unified description of the continuous/discrete dynamics, including both the steady power distribution process and mode switching behaviors, mixed logical dynamical (MLD) modeling is adopted to build the control-oriented model. Moreover, linear piecewise affine (PWA) technology is applied to deal with nonlinear characteristics in MLD modeling. The MLD model is finally obtained through a high level modeling language, i.e. HYSDEL. Based on the MLD model, hybrid model predictive control (HMPC) strategy is proposed, where a mixed integer quadratic programming (MIQP) problem is constructed for optimum power distribution. Simulation studies under different driving cycles demonstrate that the proposed control strategy can have a superior control effect as compared with the rule-based control strategy.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137064
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Research on hybrid modeling and predictive energy management for power split hybrid electric vehicle
Autorzy:: Wang, Shaohua
Zhang, Sheng
Shi, Dehua
Sun, Xiaoqiang
Yang, Tao
Powiązania:: https://bibliotekanauki.pl/articles/2128153.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: power split HEV
energy management
mixed logical dynamical model
piecewise affine
model predictive control
podział mocy
zarządzanie energią
silnik hybrydowy
model dynamiczny
model mieszany
model logiczny
technologia fragmentarycznie pokrewna
kontrola predykcyjna modelu
Opis:: Due to the coexistence of continuity and discreteness, energy management of a multi-mode power split hybrid electric vehicle (HEV) can be considered a typical hybrid system. Therefore, the hybrid system theory is applied to investigate the optimum energy distribution strategy of a power split multi-mode HEV. In order to obtain a unified description of the continuous/discrete dynamics, including both the steady power distribution process and mode switching behaviors, mixed logical dynamical (MLD) modeling is adopted to build the control-oriented model. Moreover, linear piecewise affine (PWA) technology is applied to deal with nonlinear characteristics in MLD modeling. The MLD model is finally obtained through a high level modeling language, i.e. HYSDEL. Based on the MLD model, hybrid model predictive control (HMPC) strategy is proposed, where a mixed integer quadratic programming (MIQP) problem is constructed for optimum power distribution. Simulation studies under different driving cycles demonstrate that the proposed control strategy can have a superior control effect as compared with the rule-based control strategy.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137064, 1--15
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 13.

Tytuł:: Effect of grinding media on the flotation of copper-activated marmatite
Autorzy:: Long, Tao
Chen, Yao
Shi, Juanjuan
Chen, Wei
Zhu, Yangge
Zhang, Chonghui
Bu, Xianzhong
Powiązania:: https://bibliotekanauki.pl/articles/109857.pdf
Data publikacji:: 2020
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: grinding media
copper-activated marmatite
flotation separation
surface property
Opis:: How to avoid the shortage of floatability and non-purpose flotation in marmatite flotation is a big problem. This paper innovatively studies how to reduce these two negative phenomena from the perspective of grinding media. The effects of steel and stainless-steel balls on the flotation performance of copper-activated marmatite were investigated mainly through flotation tests, redox potential measurements, ion concentration tests, and XPS and FT-IR spectrum studies. The flotation results showed that the floatability of copper-activated marmatite remarkably decreased by using the steel ball in the grinding process, but it had a mere influence when stainless-steel medium was used. Redox potential measurements showed that the grinding environment of stainless-steel medium could exhibit a higher oxidizing potential than the steel grinding environment. Results from FTIR, XPS, and ion concentration measurements demonstrated that more ferric ions existed on the copper activated marmatite surface in the steel grinding environment than that in the stainless-steel environment. Ferric ions could further hinder the activation effect of copper ions on marmatite and result in decreased marmatite flotation. This research could potentially explain the mechanism of ferric ions in the grinding process, and it can be utilized to improve the flotation performance of marmatite ore through selecting suitable grinding media in ball mill operations.
Źródło:: Physicochemical Problems of Mineral Processing; 2020, 56, 2; 229-237
1643-1049
2084-4735
Pojawia się w:: Physicochemical Problems of Mineral Processing
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 14.

Tytuł:: Effects of zero-valent iron and enzymes on the anaerobic co-digestion of sewage sludge and corn silage
Autorzy:: Zhou, Haidong
Cao, Zhengcao
Ying, Zhenxi
Liu, Jicheng
Hu, Tao
Zhang, Mingquan
Zhang, Jingyuan
Powiązania:: https://bibliotekanauki.pl/articles/2032872.pdf
Data publikacji:: 2020
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: corn silage
COD
sewage sludge
anaerobic digestion
kiszonka z kukurydzy
ChZT
osad ściekowy
beztlenowa fermentacja
Opis:: Anaerobic co-digestion of sewage sludge and corn silage with zero-valent iron powder (Fe0), cellulase, and papain as reinforcement means was conducted. COD-based feeding ratio of sewage sludge to corn silage was set to 2:1, the solids retention time (SRT) 20 day, digestion temperature 35 °C, and mixing speed 60 rpm. Removal rates of total COD during the control group, and Fe0, papain, cellulase, and papain, Fe0, and the two kinds of enzyme-added tests were 38.04, 41.02, 34.62, 34.55, 35.42, and 48.21%, respectively. The corresponding biogas production was 2.12, 2.62, 2.22, 2.41, 2.25, and 2.81 dm3/day, respectively. The results indicated the addition of cellulase, and papain could maximize the decomposition and hydrolysis of organic matter in sewage sludge and corn silage to volatile fatty acids. Fe0 could reduce the redox potentials of the anaerobic co-digestion, optimize the circumstances of the methanogenesis stage, accelerate biogas production, and improve biogas components. Fe0 and enzymes played a synergistic role in the anaerobic co-digestion system. Life cycle assessment indicated that the anaerobic co-digestion of sludge and corn silage co-substrates could benefit the economy, environment, and social development under the synergistic action of Fe0 and enzymes.
Źródło:: Environment Protection Engineering; 2020, 46, 4; 41-56
0324-8828
Pojawia się w:: Environment Protection Engineering
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Effects of zero-valent iron and enzymes on the anaerobic co-digestion of sewage sludge and corn silage
Autorzy:: Zhou, Haidong
Cao, Zhengcao
Ying, Zhenxi
Liu, Jicheng
Hu, Tao
Zhang, Mingquan
Zhang, Jingyuan
Powiązania:: https://bibliotekanauki.pl/articles/2032890.pdf
Data publikacji:: 2020
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: corn silage
COD
sewage sludge
anaerobic digestion
kiszonka z kukurydzy
ChzT
osad ściekowy
beztlenowa fermentacja
Opis:: Anaerobic co-digestion of sewage sludge and corn silage with zero-valent iron powder (Fe0), cellulase, and papain as reinforcement means was conducted. COD-based feeding ratio of sewage sludge to corn silage was set to 2:1, the solids retention time (SRT) 20 day, digestion temperature 35 °C, and mixing speed 60 rpm. Removal rates of total COD during the control group, and Fe0, papain, cellulase, and papain, Fe0, and the two kinds of enzyme-added tests were 38.04, 41.02, 34.62, 34.55, 35.42, and 48.21%, respectively. The corresponding biogas production was 2.12, 2.62, 2.22, 2.41, 2.25, and 2.81 dm3/day, respectively. The results indicated the addition of cellulase, and papain could maximize the decomposition and hydrolysis of organic matter in sewage sludge and corn silage to volatile fatty acids. Fe0 could reduce the redox potentials of the anaerobic co-digestion, optimize the circumstances of the methanogenesis stage, accelerate biogas production, and improve biogas components. Fe0 and enzymes played a synergistic role in the anaerobic co-digestion system. Life cycle assessment indicated that the anaerobic co-digestion of sludge and corn silage co-substrates could benefit the economy, environment, and social development under the synergistic action of Fe0 and enzymes.
Źródło:: Environment Protection Engineering; 2020, 46, 4; 41-56
0324-8828
Pojawia się w:: Environment Protection Engineering
Dostawca treści:: Biblioteka Nauki

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