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Wyszukujesz frazę "Hoang, Long" wg kryterium: Autor


Wyświetlanie 1-9 z 9
Tytuł:
Analysing the impact of cutting force and vibration on surface roughness in external cylindrical grinding of SKH2 steel
Autorzy:
Hoang, Long
Nguyen, Linh Tuan
Powiązania:
https://bibliotekanauki.pl/articles/24084754.pdf
Data publikacji:
2023
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
surface roughness
cutting force
vibration
SKH2 steel
grinding
Opis:
The surface roughness of a part during external cylindrical grinding is directly impacted by cutting force and vibration, which are intermediate parameters. To improve the quality of finished parts, studying and controlling these parameters is essential. In this research, the Taguchi method combined with ANOVA analysis was utilized to analyse the effects of feed rate, cutting depth, and rotational speeds on cutting force and vibration amplitude. The test material used was SKH2 steel, which was heat-treated to a hardness of 60 HRC. The research aimed to investigate the relationship between cutting force, vibration, and surface roughness. The study concludes with an analysis of the influence of cutting force and vibration on the surface roughness of parts during external cylindrical grinding. The results show that as cutting force and vibration increase, the surface roughness of the workpiece in external grinding will also increase, and conversely when cutting force and vibration decrease, the surface roughness will decrease.
Źródło:
Journal of Machine Engineering; 2023, 23, 3; 130--140
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Disc tool profiling for air compressor screws with complex characteristic curves
Autorzy:
Nguyen, Tuan-Linh
Hoang, Long
Powiązania:
https://bibliotekanauki.pl/articles/1833775.pdf
Data publikacji:
2021
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
disk tool
meshing condition
undercutting
envelope
gearing
Opis:
One of the best practical methods to machine the air compressor screw pairs is milling or grinding by disc tools. The mathematics involved in disc tool profiling is quite complex and requires representing the machined surface by mathematical equations without any singular points and undercutting. From a technical perspective, this article proposes the disc tool profiling integrated solution for machining complex profile screws from their reverse engineering data, which contains crucial issues such as machining deviation evaluation due to undercutting, appropriate tool position setting. The disc tool surface designed by the proposed method is highly accurate, leading the RMS error of the machined surface is less than 0.0201 mm. A difference of the angle, formed by the disc tool axis and the workpiece axis, less than 0.16°, is acceptable in air compressor technology, which leads to a machined surface RMS deviation of less than 0.0186 mm.
Źródło:
Journal of Machine Engineering; 2021, 21, 3; 101--109
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A study on the influence of printing orientation in metal printing using material extrusion technology on the mechanical properties of 17-4 stainless steel products
Autorzy:
Dang, Long Cao
Nguyen, Cuong Van
Le, Anh Hoang
Bui, Danh Thanh
Powiązania:
https://bibliotekanauki.pl/articles/28407327.pdf
Data publikacji:
2023
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
additive manufacturing
material extrusion
17-4 PH stainless steel
mechanical properties
Opis:
This study investigated the influence of print orientation on the mechanical properties of 17-4 PH stainless steel parts fabricated using material extrusion technology. Tensile test specimens were 3D printed in different orientations (flat, on-edge, and upright), and their mechanical properties were evaluated. The results showed that the print orientation significantly affected the ultimate tensile strength, yield strength, and elongation at failure of the specimens. The flat and on-edge orientations exhibited similar mechanical properties, while the upright orientation resulted in lower strength and higher fracture susceptibility. Hardness measurements also indicated variations in hardness distribution among the orientations. The findings emphasize the importance of optimizing the print orientation parameter to achieve desired mechanical characteristics in 17-4 PH stainless steel parts.
Źródło:
Journal of Machine Engineering; 2023, 23, 4; 89--100
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of Nitrogen and Potassium on Growth, Yield, and Seed Quality of Quinoa in Ferralsols and Acrisols under Rainfed Conditions
Autorzy:
Van Minh, Nguyen
Hoang, Dinh Thai
Anh, Dang Thi Phuong
Long, Nguyen Viet
Powiązania:
https://bibliotekanauki.pl/articles/2086357.pdf
Data publikacji:
2022
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
acrisols
ferralsols
nitrogen
potassium
quinoa
Opis:
The study has investigated the individual and combined effects of nitrogen and potassium on the growth, grain yield, and quality of quinoa in ferralsols and acrisols. The experiments were conducted during the dry season under rainfed conditions in Central Highland, Vietnam. The factorial design was a randomized complete block design with three replications. The results revealed the positive impacts of nitrogen and potassium on the growth and yield of quinoa. However, after the application of an optimum dose of nitrogen, growth, and yield were not significantly changed and even decreased when the dose continued increasing. Higher levels of nitrogen and potassium application resulted in greater protein and fat content, but lower starch and fiber contents, compared to lower levels. The fertilizer practice has to rely on soil fertility. The study shows that the application of 150 kg N and 105 kg K2O ha-1 could be the optimum rate of nitrogen and potassium for quinoa production in ferralsols and acrisols in Central Highland.
Źródło:
Journal of Ecological Engineering; 2022, 23, 4; 164--172
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
BIM competency in personnel recruitment in Vietnam construction enterprises
Autorzy:
Anh, Pham Xuan
Toan, Nguyen Quoc
Nam, Tran Phuong
Long, Hoang Duy
Thang, Do Duc
Powiązania:
https://bibliotekanauki.pl/articles/27312107.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
kompetencja
modelowanie informacji o budynku
BIM
rekrutacja personelu
personel
firma budowlana
Wietnam
competency
building information modelling
personnel recruitment
personnel
construction company
Vietnam
Opis:
The world has been implementing Building Information Modelling (BIM) successfully to construction projects from small to large scale. In Vietnam and many other countries, BIM is also widely applied in different fields of the construction industry. However, there are still many problems that need to be solved. One of those is to determine the necessary BIM competencies, thereby develop BIM personnel recruitment standards. The article identifies the competencies as well as evaluates their importance when supporting the recruitment of BIM personnel in construction enterprises in Vietnam. Through survey forms such as survey on online recruitment, expert interviews, and survey forms, the study is conducted with Likert scale, relative importance index (RII) for result analysis and ranking the importance of BIM competency for three distinct group of positions in Vietnam. With this result, the authors hope that the study will be an important reference, contributing to the development and concretization of the required competency criteria in the recruitment of BIM personnel in Vietnam and other similar countries.
Źródło:
Archives of Civil Engineering; 2023, 69, 2; 381--397
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Lasso and Elastic-Net Regularized Generalized Linear Model for Predicting Blast-Induced Air Over-pressure in Open-Pit Mines
Model Lasso i uogólniony model liniowy elastycznej siatki do prognozowania nadciśnienia wywołanego wybuchem w kopalniach odkrywkowych
Autorzy:
Bui, Xuan‑Nam
Nguyen, Hoang
Tran, Quang Hieu
Bui, Hoang‑Bac
Nguyen, Quoc Long
Nguyen, Dinh An
Le, Thi Thu Hoa
Pham, Van Viet
Powiązania:
https://bibliotekanauki.pl/articles/318532.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
Lasso model
kopalnia odkrywkowa
wybuchy
open pit mines
explosives
Opis:
Air overpressure (AOp) is one of the products of blasting operations in open-pit mines which have a great impact on the environment and public health. It can be dangerous for the lungs, brain, hearing and the other human senses. In addition, the impact on the surrounding environment such as the vibration of buildings, break the glass door systems are also dangerous agents caused by AOp. Therefore, it should be properly controlled and forecasted to minimize the impacts on the environment and public health. In this paper, a Lasso and Elastic-Net Regularized Generalized Linear Model (GLMNET) was developed for predicting blast-induced AOp. The United States Bureau of Mines (USBM) empirical technique was also applied to estimate blast-induced AOp and compare with the developed GLMNET model. Nui Beo open-pit coal mine, Vietnam was selected as a case study. The performance indices are used to evaluate the performance of the models, including Root Mean Square Error (RMSE), Determination Coefficient (R2), and Mean Absolute Error (MAE). For this aim, 108 blasting events were investigated with the Maximum of explosive charge capacity, monitoring distance, powder factor, burden, and the length of stemming were considered as input variables for predicting AOp. As a result, a robust GLMNET model was found for predicting blast-induced AOp with an RMSE of 1.663, R2 of 0.975, and MAE of 1.413 on testing datasets. Whereas, the USBM empirical method only reached an RMSE of 2.982, R2 of 0.838, and MAE of 2.162 on testing datasets.
Źródło:
Inżynieria Mineralna; 2019, 21, 2/2; 8-20
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Workflow of Ground Penetrating Radar Data Analysis Based on Maximum Energy Difference Steering
Przebieg pracy z danymi radarowymi penetrującymi ziemię Analiza oparta na sterowaniu maksymalną różnicą energii
Autorzy:
Dang, Duy Hoang
Le, Cuong Van Anh
Nguyen, Thuan Van
Nguyen, Long Quoc
Huynh, Nhan Thanh
Powiązania:
https://bibliotekanauki.pl/articles/28756746.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
ground penetrating radar
phase analysis
energy difference
radar penetrujący podłoże
analiza fazowa
różnica energii
Opis:
Ground Penetrating Radar is commonly used in civil engineering sectors. Underground anomalies (i.e., electric wires, water pipes or sinkholes) can be detected through representations of hyperbolae in the measured processed GPR image. Our work focuses on detecting the underground objects and understanding their metallic or nonmetallic characteristics. The max energy difference attribute is applied to illuminate their positions while phase analysis process can determine change of phase spectrum in the diffracted signals. For improving phase analysis, we applied a novel workflow combining conventional processed steps and a zooming step for preserving phase originality without disturbed by any unnecessary filters. We applied the workflow in model and real data for proving its effectiveness. Interpretation of two real datasets in Vietnam by our workflow can express existences of the artificial underground anomalies as well as their matter characteristics comparing to their surrounding environments.
Ground Penetrating Radar jest powszechnie stosowany w inżynierii lądowej i wodnej. Podziemne anomalie (np. przewody elektryczne, rury wodociągowe lub zapadliska) można wykryć za pomocą reprezentacji hiperbol w zmierzonym przetworzonym obrazie GPR. Nasza praca koncentruje się na wykrywaniu podziemnych obiektów i zrozumieniu ich metalicznych lub niemetalicznych wła-ściwości. Atrybut maksymalnej różnicy energii jest stosowany do oświetlania ich pozycji, podczas gdy proces analizy fazowej może określić zmianę widma fazowego w dyfrakcyjnych sygnałach. Aby usprawnić analizę fazową, zastosowaliśmy nowatorski przepływ pracy łączący konwencjonalne kroki przetwarzania i krok powiększania w celu zachowania oryginalności fazy bez zakłócania przez niepotrzebne filtry. Zastosowaliśmy przepływ pracy w modelu i rzeczywistych danych, aby udowodnić jego skuteczność. Interpretacja dwóch rzeczywistych zbiorów danych w Wietnamie za pomocą naszego przepływu pracy może wyrazić istnienie sztucznych anomalii podziemnych, a także ich charakterystykę materii w porównaniu z otaczającym je środowiskiem.
Źródło:
Inżynieria Mineralna; 2023, 1; 195--202
1640-4920
Pojawia się w:
Inżynieria Mineralna
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
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
    Wyświetlanie 1-9 z 9

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