Autor: Bui, Xuan Nam - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Pure SiO2 extraction through aluminosilicates synthesis from incinerated solid wastes
Ekstrakcja czystej krzemionki poprzez syntezę glinokrzemianów ze spopielonych odpadów stałych
Autorzy:: Vu, Dinh Hieu
Bui, Xuan‑Nam
Bui, Hoang‑Bac
Ngo, Thi Thanh Nga
Powiązania:: https://bibliotekanauki.pl/articles/319399.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Przeróbki Kopalin
Tematy:: solid wastes
coal fly ash
synthesis
SiO2 solution extraction
odpady stałe
spopielanie odpadów
synteza
ekstrakcja SiO2
Opis:: In this study, Pure SiO2 solution extraction from incenerated solid wastes following after aluminosilicate synthesis. The optimum conditions for obtaining both the pure SiO2 solution and the substantial amounts of unique residue material should be 200°C of reaction temperature, 1:30 of sample: NaOH, 2M NaOH, and enough reaction time over 24 hours. The optimization of the pure SiO2 extraction proposes an effective way for recycling the abundant incinerated solid waste as well as other waste ashes. Keywords: Solid wastes, Coal fly ash, Synthesis, SiO2 solution extraction.
Źródło:: Inżynieria Mineralna; 2019, 21, 2/2; 199-210
1640-4920
Pojawia się w:: Inżynieria Mineralna
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

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

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