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Two-step high-pressure high-temperature synthesis of nanodiamonds from naphthalene

Chinese Physics B 2020年第10期29卷 515-520页

作者： Tong Liu Xi-Gui Yang Zhen Li Yan-Wei Hu Chao-Fan Lv Wen-Bo Zhao Jin-Hao Zang Chong-Xin Shan Henan Key Laboratory of Diamond Optoelectronic Materials and Devices Key Laboratory of Materials PhysicsMinistry of EducationSchool of Physics and MicroelectronicsZhengzhou UniversityZhengzhou 450052China

Nanodiamonds have outstanding mechanical properties,chemical inertness,and biocompatibility,which give them potential in various *** methods for preparing nanodiamonds often lead to products with impurities and uneven *** report a two-step high-pressure high-temperature(HPHT) method to synthesize nanodiamonds using naphthalene as the precursor without metal *** grain size of the diamonds decreases with increasing carbonization time(at constant pressure and temperature of 11.5 GPa and 700℃,respectively).This is discussed in terms of the different crystallinities of the carbon *** probability of secondary anvil cracking during the HPHT process is also *** results indicate that the two-step method is efficient for synthesizing nanodiamonds,and that it is applicable to other organic precursors.

关键词： nanodiamonds high pressure high temperature phase transition naphthalene

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Modeling viscosity of methane,nitrogen,and hydrocarbon gas mixtures at ultra-high pressures and temperatures using group method of data handling and gene expression programming techniques

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Chinese Journal of Chemical Engineering 2021年第4期34卷 431-445页

作者： Farzaneh Rezaei Saeed Jafari Abdolhossein Hemmati-Sarapardeh Amir H.Mohammadi Department of Petroleum Engineering Shahid Bahonar University of KermanKermanIran Institute of Research and Development Duy Tan UniversityDa Nang 550000Vietnam Faculty of Environment and Chemical Engineering Duy Tan UniversityDa Nang 550000Vietnam Institut de Recherche en Genie Chimique et Petrolier(IRGCP) Paris CedexFrance Discipline of Chemical Engineering School of EngineeringUniversity of KwaZulu-NatalHoward College CampusKing George V AvenueDurban 4041South Africa

Accurate gas viscosity determination is an important issue in the oil and gas *** approaches for gas viscosity measurement are timeconsuming,expensive and hardly possible at high pressures and high temperatures(HPHT).In this study,a number of correlations were developed to estimate gas viscosity by the use of group method of data handling(GMDH)type neural network and gene expression programming(GEP)techniques using a large data set containing more than 3000 experimental data points for methane,nitrogen,and hydrocarbon gas *** is worth mentioning that unlike many of viscosity correlations,the proposed ones in this study could compute gas viscosity at pressures ranging between 34 and 172 MPa and temperatures between 310 and 1300 ***,a comparison was performed between the results of these established models and the results of ten wellknown models reported in the *** absolute relative errors of GMDH models were obtained 4.23%,0.64%,and 0.61%for hydrocarbon gas mixtures,methane,and nitrogen,*** addition,graphical analyses indicate that the GMDH can predict gas viscosity with higher accuracy than GEP at HPHT ***,using leverage technique,valid,suspected and outlier data points were ***,trends of gas viscosity models at different conditions were evaluated.

关键词： Gas Viscosity high pressure high temperature Group method of data handling Gene expression programming

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