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    Wyświetlanie 1-7 z 7
    Tytuł:
    Multi-objective optimization for weld track geometry in wire-arc directed energy deposition of ER308L stainless steel
    Autorzy:
    Nguyen, Van Canh
    Le, Van Thao
    Pham, Ngoc-Linh
    Nguyen, Anh-Thang
    Powiązania:
    https://bibliotekanauki.pl/articles/24084674.pdf
    Data publikacji:
    2023
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    wire-arc directed energy deposition
    weld track
    ER308L stainless steel
    multi-objective optimisation
    Opis:
    In this research, the weld track geometry in wire-arc DED (directed energy deposition) of ER308L stainless steel was predicted and optimized. The studied geometrical attributes of weld tracks include weld track width (WTW), weld track height (WTH), and contact angle (α). The experiment was designed based on Taguchi method with three variables (current I, voltage U, and weld velocity v) and four levels for each variable. The ANOVA was adopted to evaluate the accuracy of the models and impact levels of variables on the responses. The TOPSIS method was utilized to predict the optimal variables. The results indicated that the predicted models were built with high accuracy levels (R2 = 98.92%, 98.77%, and 98.91% for WTW, WTH, and α, respectively). Among the studied variables, U features the highest effects on WTW and α with 78.56% and 69.90% of contribution, respectively, while v is the variable that has the most impact on WTH with 39.82% of contribution. The optimal variables predicted by TOPSIS were U = 23 V, I = 140 A, and v = 300 mm/min, which allows building components with stable and regular geometry.
    Źródło:
    Journal of Machine Engineering; 2023, 23, 2; 123--134
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Seasonal and Tidal Influence on Surface Water Quality – A Case Study in the Hau River Segment, Vietnamese Mekong Delta Province
    Autorzy:
    Ni, Duong Van
    Viet, Le Hoang
    Ly, Nguyen Hong Thao
    Powiązania:
    https://bibliotekanauki.pl/articles/2173269.pdf
    Data publikacji:
    2022
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    surface water quality
    Hau Giang
    season
    discriminant analysis
    tide
    Opis:
    The study aimed to evaluate the influence of seasons and tides on surface water quality of Hau River in Hau Giang province, Vietnam. The water quality data were collected at six locations at low tide and high tide. The monitoring parameters included pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), ammonium (NH4+-N), nitrate (NO3--N), orthophosphate (PO43--P), total phosphorus (TP), total nitrogen (TN), iron (Fe) and Coliform. One-way analysis of variance (One-way ANOVA), cluster analysis (CA) and discriminant analysis (DA) were applied to determine the influence of tides and seasons on water quality. The surface water quality was compared with the national technical regulation on surface water quality in column A1 (QCVN 08-MT:2015/BTNMT). The results showed that surface water in the study area had organic pollution and high eutrophication potential. The BOD, COD, TN, TP, Fe and coliform parameters in low tide tended to be higher than those in high tide. Five parameters, including TSS, TP, TN, PO43--P and coliform had a significant difference between the wet season and the dry season by DA analysis. Cluster analysis classified the water quality into three clusters, mainly by the BOD, COD, TSS, PO43--P and Fe parameters. The study provides important information on the water quality of the Hau River in the Hau Giang province for water uses and monitoring.
    Źródło:
    Journal of Ecological Engineering; 2022, 23, 8; 290--298
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    3D Spatial Interpolation Methods for Open-Pit Mining Air Quality with Data Acquired by Small UAV Based Monitoring System
    Metody interpolacji przestrzennej 3D dla oceny jakości powietrza w kopalniach odkrywkowych z danymi uzyskanymi przez system monitorowania oparty na pospolitym bezzałogowym statku powietrznym BSP
    Autorzy:
    Nguyen, Quoc Long
    Cao, Xuan Cuong
    Le, Van Canh
    Nguyen, Ngoc Bich
    Dang, An Tran
    Le, Qui Thao
    Bui, Xuan‑Nam
    Powiązania:
    https://bibliotekanauki.pl/articles/318546.pdf
    Data publikacji:
    2020
    Wydawca:
    Polskie Towarzystwo Przeróbki Kopalin
    Tematy:
    air quality
    open-pit mines
    spatial interpolation
    UAV-MSC
    jakość powietrza
    kopalnie odkrywkowe
    interpolacja przestrzenna
    bezzałogowe statki powietrzne (BSP)
    Opis:
    Open-pit mining activities, including blasting, drilling, loading, and transport, often result in the direct emission of particulates and gases into the atmosphere. Occupational exposure to these pollutants is considered as the risk for health, especially the risk of developing respiratory diseases. An air quality monitoring system and spatial analysis are necessary to identify these potential hazards. In this study, we propose an air quality monitoring system that integrates gas and dust sensors into a small multi-rotor copter or unmanned aerial vehicle (UAV). Different spatial interpolation methods including trilinear interpolation, nearest neighbour, and natural neighbour applied to the monitoring data (CO, SO2, PM2.5, CO2) from our system to derive air concentration levels in the atmosphere of open-pit coal mines were also examined. The results show that the UAV based air quality monitoring system performed efficiently and safely in conditions of deep open-pit coal mines. In addition, for the estimation of the concentration level of gases and dust in unsampled points, trilinear interpolation performed with the most accurate result, followed by natural neighbor and nearest neighbor.
    Wielorakie działalności ư górnictwie odkrywkowym, w tym roboty strzelnicze, wiertnicze, załadowania, transport, zwałowania itp. często prowadzi do bezpośredniej emisji pyłów i gazów do atmosfery. Zanieczyszczenie powietrza na terenie zakładu górniczego uważane jest za zagrożenie dla zdrowia pracowników i górników, zwłaszcza ryzyko rozwoju chorób układu oddechowego. Aby zidentyfikować te potencjalne zagrożenia, niezbędny jest system monitorowania jakości powietrza i analiza przestrzenna. W artykule, przedstawiono wyniki zastosowania system monitorowania jakości powietrza, który integruje czujniki gazu i pyłu w pospolitym wielowirnikowym helikopterze lub bezzałogowym statku powietrznym (BSP). Zbadano również różne metody interpolacji przestrzennej, w tym interpolację trójliniową, najbliższego sąsiada i naturalnego sąsiada, zastosowane do danych z monitoringu (CO, SO2, PM2.5, CO2) z badanego systemu w celu wyznaczenia poziomów stężenia powietrza w atmosferze kopalni odkrywkowych. Wyniki pokazują, że system monitorowania jakości powietrza oparty na BSP działał sprawnie i bezpiecznie w warunkach głębokich odkrywkowych kopalń węgla kamiennego. Dodatkowo, do oszacowania poziomu stężeń gazów i pyłów w niepróbkowanych punktach zastosowano interpolację trójliniową z najdokładniejszym wynikiem, a po kolei naturalny sąsiad i najbliższy sąsiad.
    Źródło:
    Inżynieria Mineralna; 2020, 1, 2; 263-272
    1640-4920
    Pojawia się w:
    Inżynieria Mineralna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Use of Unmanned Aerial Vehicles for 3D topographic Mapping and Monitoring the Air Quality of Open-pit Mines
    Wykorzystanie bezzałogowych statków powietrznych (dronów) do monitorowania jakości powietrza w odkrywkowych kopalniach węgla kamiennego
    Autorzy:
    Bui, Xuan‑Nam
    Lee, Changwoo
    Nguyen, Quoc Long
    Adeel, Ahmad
    Cao, Xuan Cuong
    Nguyen, Viet Nghia
    Le, Van Canh
    Nguyen, Hoang
    Le, Qui Thao
    Duong, Thuy Huong
    Nguyen, Van Duc
    Powiązania:
    https://bibliotekanauki.pl/articles/317913.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Przeróbki Kopalin
    Tematy:
    drony
    jakość powietrza
    kopalnie odkrywkowe
    unmanned aerial vehicles
    air quality
    open pit mines
    Opis:
    Recently remarkable advancement development of unmanned aerial vehicles (UAVs) has been observed and their applications have been shown in many fields such as agriculture, industry, and environmental management. However, in the mining industry, the application of UAV technology remains potential. This paper presents a low-cost unmanned aerial vehicle technology-based system for 3D mapping and air quality monitoring at open-pit mine sites in Vietnam. The system includes several dust sensors that are mounted on a low-cost rotary-wing type UAV. The system collects a variety of data, mainly images and airborne pollutant concentrations. To evaluate the performance of the proposed system, field tests were carried out at the Coc Sau coal mine. Based on the images transmitted to the ground monitoring station, large scale 3D topographic maps were successfully modeled. In addition, sensors mounted on the UAV system were able to monitor the levels of environmental variables associated with the air quality within the pit such as temperature, dust, CO, CO2, and NOx. The field test results in this study illustrate the applicability of the low-cost UAV for the 3D mapping and the air quality monitoring at large and deep coal pits with relatively high accuracy.
    Źródło:
    Inżynieria Mineralna; 2019, 21, 2/2; 223-239
    1640-4920
    Pojawia się w:
    Inżynieria Mineralna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cellulase Treatment of Acerola Seeds and Its Effect on Physicochemical Properties and Antioxidant Potential of Dietary Fiber-Rich Cookies
    Autorzy:
    Tran, Van Nguyen
    Dang, Diep Xuan Thao
    Pham, Thi Kim Oanh
    Tran, Thi Quynh Nhi
    Ton, Nu Minh Nguyet
    Tran, Thi Thu Tra
    Le, Van Viet Man
    Powiązania:
    https://bibliotekanauki.pl/articles/48899277.pdf
    Data publikacji:
    2024-09-03
    Wydawca:
    Instytut Rozrodu Zwierząt i Badań Żywności Polskiej Akademii Nauk w Olsztynie
    Tematy:
    bakery product
    cellulolysis
    dimensional characteristics
    Malpighia emarginata
    proximate composition
    textural analysis
    Opis:
    Acerola seeds are a by-product of the food industry, which is rich in dietary fiber and antioxidants. This study evaluated the effects of cellulase treatment conditions, including the initial moisture content, enzyme dose, and incubation time, on the insoluble, soluble, and total dietary fiber content of acerola seed powder (ASP). The blends of wheat flour with untreated and cellulase-treated ASP (0, 10, 15, 20, 25, and 30%, w/w) were then used to produce cookies. The suitable conditions for the enzymatic treatment were the initial moisture content of 6 g/g dry weight (DW), an enzyme dose of 10 U/g DW and incubation time of 90 min. The cookies produced from flour blends with ASP had higher dietary fiber, ascorbic acid and total phenolic contents, and antioxidant capacity, compared to the control cookies without ASP. Phytate content in the cookies obtained with the lowest level of fortification (10%, w/w) was similar to that in the control cookies. The use of cellulase-treated ASP resulted in a lower ratio of insoluble to soluble dietary fiber in the cookies compared to when the untreated ASP was used. In addition, the cookies with cellulase-treated ASP had lower hardness and higher fracturability values than those fortified with the untreated ASP. The overall acceptability of the cookies produced with ASP was higher or comparable to the control cookies. For the first time, the low-cost ASP was used to improve the nutritional quality of cookies. The treated ASP is a novel promising dietary fiber- and antioxidant-rich ingredient for cookie preparation.
    Źródło:
    Polish Journal of Food and Nutrition Sciences; 2024, 74, 3; 268-279
    1230-0322
    2083-6007
    Pojawia się w:
    Polish Journal of Food and Nutrition Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effects of Mulberry Pomace Addition and Transglutaminase Treatment on the Quality of Pasta Enriched with Antioxidants and Dietary Fiber
    Autorzy:
    Ta, Thi Minh Ngoc
    Hoang, Chi Hieu
    Nguyen, Thao Mi
    Tran, Thi Thu Tra
    Ton, Nu Minh Nguyet
    Van Viet Man, Le
    Powiązania:
    https://bibliotekanauki.pl/articles/24024618.pdf
    Data publikacji:
    2023-10-10
    Wydawca:
    Instytut Rozrodu Zwierząt i Badań Żywności Polskiej Akademii Nauk w Olsztynie
    Tematy:
    antioxidant
    dietary fiber
    mulberry pomace
    pasta
    transglutaminase
    Opis:
    Mulberry pomace powder, a by-product of mulberry juice processing, was added to pasta recipe to make pasta with high dietary fiber and antioxidant contents. The effects of mulberry pomace ratio on the nutritional, textural and cooking properties as well as the sensory overall acceptance of the product were investigated. A significant increment in dietary fiber and total anthocyanin contents as well as decrement in cooking quality, texture and color change were observed. The cooking loss increased with the substitution level of mulberry pomace while the optimal cooking time, swelling index and water absorption index decreased. The quality improvement of 10% mulberry pomace fortified pasta was investigated by adding a transglutaminase preparation with enzyme dosage from 0.25 to 1.00 U/g protein. The fortified pasta treated with transglutaminase at 0.50 U/g protein showed a significant improvement in chewiness, tensile strength and elongation rate but was not significantly affected in terms of the swelling index and water absorption. The use of transglutaminase also improved the overall acceptability of the fortified pasta. Mulberry pomace powder may, therefore, be considered a potential antioxidant-rich and dietary fiber-rich material for incorporation into pasta products.
    Źródło:
    Polish Journal of Food and Nutrition Sciences; 2023, 73, 4; 301-310
    1230-0322
    2083-6007
    Pojawia się w:
    Polish Journal of Food and Nutrition Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Developing an Advanced Soft Computational Model for Estimating Blast-Induced Ground Vibration in Nui Beo Open-pit Coal Mine (Vietnam) Using Artificial Neural Network
    Opracowanie zaawansowanego modelu obliczeniowego do szacowania wibracji gruntu wywołanych wybuchem w odkrywkowej kopalni węgla Nui Beo (Wietnam) przy użyciu sztucznej sieci neuronowej
    Autorzy:
    Nguyen, Hoang
    Bui, Xuan‑Nam
    Tran, Quang Hieu
    Nguyen, Quoc Long
    Vu, Dinh Hieu
    Pham, Van Hoa
    Le, Qui Thao
    Nguyen, Phu Vu
    Powiązania:
    https://bibliotekanauki.pl/articles/317864.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Przeróbki Kopalin
    Tematy:
    Wietnam
    górnictwo odkrywkowe
    sieci neuronowe
    Vietnam
    open pit mining
    artificial neural network
    Opis:
    The principal object of this study is blast-induced ground vibration (PPV), which is one of the dangerous side effects of blasting operations in an open-pit mine. In this study, nine artificial neural networks (ANN) models were developed to predict blast-induced PPV in Nui Beo open-pit coal mine, Vietnam. Multiple linear regression and the United States Bureau of Mines (USBM) empirical techniques are also conducted to compare with nine developed ANN models. 136 blasting operations were recorded in many years used for this study with 85% of the whole datasets (116 blasting events) was used for training and the rest 15% of the datasets (20 blasting events) for testing. Root Mean Square Error (RMSE), Determination Coefficient (R2), and Mean Absolute Error (MAE) are used to compare and evaluate the performance of the models. The results revealed that ANN technique is more superior to other techniques for estimating blast-induced PPV. Of the nine developed ANN models, the ANN 7-10-8-5-1 model with three hidden layers (ten neurons in the first hidden layer, eight neurons in the second layers, and five neurons in the third hidden layer) provides the most outstanding performance with an RMSE of 1.061, R2 of 0.980, and MAE of 0.717 on testing datasets. Based on the obtained results, ANN technique should be applied in preliminary engineering for estimating blast-induced PPV in open-pit mine.
    Źródło:
    Inżynieria Mineralna; 2019, 21, 2/2; 58-73
    1640-4920
    Pojawia się w:
    Inżynieria Mineralna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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