Effect of supercritical CO2 treatment on physical properties and functional groups of shales

Fuel ◽  
2021 ◽  
Vol 303 ◽  
pp. 121310
Author(s):  
Ahmed Fatah ◽  
Hisham Ben Mahmud ◽  
Ziad Bennour ◽  
Mofazzal Hossain ◽  
Raoof Gholami
Keyword(s):  
Physical Properties ◽  
Functional Groups ◽  
Supercritical Co2 ◽  
Co2 Treatment

Prediction of physical properties of thermosetting resin by using machine learning and structural formulas of raw materials

MRS Advances ◽  
2020 ◽  
Vol 5 (29-30) ◽  
pp. 1567-1575
Author(s):  
Kokin Nakajin ◽  
Takuya Minami ◽  
Masaaki Kawata ◽  
Toshio Fujita ◽  
Katsumi Murofushi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Physical Properties ◽  
Functional Groups ◽  
Raw Materials ◽  
Functional Materials ◽  
Industrial Applications ◽  
Chemical Information ◽  
Thermosetting Resins ◽  
Mixing Ratios

AbstractThermosetting resins are one of the most widely used functional materials in industrial applications. Although some of the physical properties of thermosetting resins are controlled by changing the functional groups of the raw materials or adjusting their mixing ratios, it was conventionally challenging to construct machine learning (ML) models, which include both mixing ratio and chemical information such as functional groups. To overcome this problem, we propose a machine learning approach based on extended circular fingerprint (ECFP) in this study. First, we predicted the classification of raw materials by the random forest, where ECFP was used as the explanatory variable. Then, we aggregated ECFP for each classification predicted by the random forest. After that, we constructed the prediction model by using the aggregated ECFP, feature quantities of reaction intermediates, and curing conditions of resin as explanatory variables. As a result, the model was able to predict in high accuracy (R^2 = 0.8), for example, the elastic modulus of thermosetting resins. Furthermore, we also show the result of verification of prediction accuracy in first step, such as using the one-hot-encording. Therefore, we confirmed that the properties of thermosetting resins could be predicted using mixed raw materials by the proposed method.

scholarly journals Effect of supercritical CO2 treatment and kiln drying on collapse in Eucalyptus nitens wood

2020 ◽  
Vol 78 (2) ◽  
pp. 209-217 ◽  
Author(s):  
Bernard S. W. Dawson ◽  
Hamish Pearson ◽  
Mark O. Kimberley ◽  
Bruce Davy ◽  
Alan R. Dickson
Keyword(s):  
Supercritical Co2 ◽  
Eucalyptus Nitens ◽  
Kiln Drying ◽  
Co2 Treatment

scholarly journals Curing and degradation processes of cement-bonded particleboard by supercritical CO2 treatment

2011 ◽  
Vol 57 (4) ◽  
pp. 302-307 ◽  
Author(s):  
Rohny Setiawan Maail ◽  
Kenji Umemura ◽  
Hideo Aizawa ◽  
Shuichi Kawai
Keyword(s):  
Supercritical Co2 ◽  
Degradation Processes ◽  
Co2 Treatment

Reduction of gelatinization temperatures of starch blend suspensions with supercritical CO2 treatment

2014 ◽  
Vol 95 ◽  
pp. 499-505 ◽  
Author(s):  
I.S.M. Zaidul ◽  
T. Noda ◽  
K.M. Sharif ◽  
A.A. Karim ◽  
R.L. Smith
Keyword(s):  
Supercritical Co2 ◽  
Co2 Treatment

Effects of supercritical CO2 treatment time, pressure, and temperature on microstructure of shale

Energy ◽  
2016 ◽  
Vol 97 ◽  
pp. 173-181 ◽  
Author(s):  
Yongdong Jiang ◽  
Yahuang Luo ◽  
Yiyu Lu ◽  
Chao Qin ◽  
Hui Liu
Keyword(s):  
Supercritical Co2 ◽  
Time Pressure ◽  
Treatment Time ◽  
Co2 Treatment

Physical properties of microcellular polymeric foams with supercritical CO2

2015 ◽  
Vol 19 (sup5) ◽  
pp. S5-250-S5-256 ◽  
Author(s):  
Ruosong Li ◽  
Dan Zeng ◽  
Qinli Liu ◽  
Lu Li ◽  
Tao Fang
Keyword(s):  
Physical Properties ◽  
Supercritical Co2 ◽  
Polymeric Foams

Properties of Enzymatic Hydrolysis Corn Starch Sizing Agent Modified in Supercritical Carbon Dioxide

2011 ◽  
Vol 332-334 ◽  
pp. 2103-2107
Author(s):  
Yue Juan Wang ◽  
Hong Jun Fu
Keyword(s):  
Carbon Dioxide ◽  
Enzymatic Hydrolysis ◽  
Water Content ◽  
Supercritical Co2 ◽  
Corn Starch ◽  
Enzymatic Reaction ◽  
Variance Ratio ◽  
Optimum Water Content ◽  
Co2 Treatment ◽  
Optimum Water

This paper describes an experiment of Corn starch treatment with α-amylase under the condition of supercritical CO2 at 50°C, 11MPa, and investigates the effects of different water content on supercritical CO2 treatment of corn starch. The results demonstrate that the viscosity of the treated starch is much lower than that of untreated starch, as well as the variance ratio of the viscosity is up to 96%. The optimum water content for the degradation of the enzymatic reaction is 2%;when water content is up to 3%, the viscosity of the serosity is 5Mpa•s, and the sizing performance reaches the best.

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