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A high precision computing method for heat transfer in the process of oil-water displacement

Journal of Hydrodynamics 2021年第5期33卷 958-969页

作者： Pan-pan Han Ke Chen Dong-xi Liu Yun-xiang You Jin Wang State Key Laboratory of Ocean Engineering Shanghai Jiao Tong UniversityShanghai 200240China yazhou Bay Institute of Deepsea technology Shanghai Jiao Tong UniversitySanya 572000China College of Ocean science and Engineering Shanghai Maritime UniversityShanghai 201306China COTEC Offshore Engineering Solutions Beijing 100011China

The process of oil-water displacement is one of the key technologies in offshore underwater *** hot oil is contacting the normal-temperature water,the interfacial heat transfer should be investigated as the heat loss may result in wax precipitation and solidification which will reduce the flowing of oil and thus affect the *** for the numerical simulation of heat transfer,the calculation is costly as the underwater tank is usually large and the displacement period is long.A high precision computing method would greatly reduce the mesh ***,this research is performed to establish a high precision computing *** on volume of fluid(VOF),a new form of energy equation is *** equation is derived from temperature equation and the variable internal energy per volume is *** variable is additive and has a close relationship with volume *** algorithm implantation to OpenFOAM,two non-isothermal VOF solvers are established corresponding to temperature equation and the new equation *** an analytical solution is built,the two solvers are *** solver based on the new equation presents far more accurate results than the solver based on temperature *** energy weighted scheme is more reasonable than a linear temperature distribution for the mixture phase.

关键词： Multi-phase flow energy equation heat transfer oil-water displacement volume of fluid(VOF)

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WTV2.0:A high-coverage plant volatilomics method with a comprehensive selective ion monitoring acquisition mode

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Molecular Plant 2024年第6期17卷 972-985页

作者： Honglun Yuan Yiding Jiangfang Zhenhuan Liu Rongxiu Su Qiao Li Chuanying Fang Sishu Huang Xianqing Liu Alisdair R.Fernie Jie Luo School of Breeding and Multiplication(sanya Institute of Breeding and Multiplication)and College of Tropical Agriculture and Forestry Hainan UniversitySanya Hainan 572025China yazhouwan National Laboratory(YNL) Sanya Hainan 572025China Department of Molecular Physiology Max-Planck-Institute of Molecular Plant PhysiologyAm Mühlenberg 1Potsdam-Golm 14476Germany

Volatilomics is essential for understanding the biological functions and fragrance contributions of plant ***,the annotation coverage achieved using current untargeted and widely targeted volatomics(WTV)methods has been limited by low sensitivity and/or low acquisition ***,we introduce WTV 2.0,which enabled the construction of a high-coverage library containing 2111 plant volatiles,and report the development of a comprehensive selective ion monitoring(cSIM)acquisition method,including the selection of characteristic qualitative ions with the minimal ion number for each compound and an optimized segmentation method,that can acquire the smallest but sufficient number of ions for most plant volatiles,as well as the automatic qualitative and semi-quantitative analysis of cSIM ***,the library and acquisition method we developed can be self-expanded by incorporating compounds not present in the library,utilizing the obtained cSIM *** showed that WTV 2.0 increases the median signal-to-noise ratio by 7.6-fold compared with the untargeted method,doubled the annotation coverage compared with the untargeted and WTV 1.0 methods in tomato fruit,and led to the discovery of menthofuran as a novel flavor compound in passion *** 2.0 is a Python library with a user-friendly interface and is applicable to profiling of volatiles and primary metabolites in any species.

关键词： volatilomics widely targeted methods GC-MS selective ion monitoring plant volatiles

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