Zihao Yang^1,*, Jiarui Cheng¹, Zefeng Li², Yirong Yang¹, Linghong Tang¹, Wenlan Wei¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2149-2176, 2025, DOI:10.32604/fdmp.2025.067739 - 30 September 2025

Abstract This study presents a two-dimensional, transient model to simulate the flow and thermal behavior of CO₂ within a fracturing wellbore. The model accounts for high-velocity flow within the tubing and radial heat exchange between the wellbore and surrounding formation. It captures the temporal evolution of temperature, pressure, flow velocity, and fluid density, enabling detailed analysis of phase transitions along different tubing sections. The influence of key operational and geological parameters, including wellhead pressure, injection velocity, inlet temperature, and formation temperature gradient, on the wellbore’s thermal and pressure fields is systematically investigated. Results indicate that due to… More >

Yu Sang¹, Anqi Du¹, Changqing Ye¹, Jianhua Xiang¹, Yi Chen¹, Yazhou Guo², Le Shen^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.7, pp. 1623-1639, 2025, DOI:10.32604/fdmp.2025.065832 - 31 July 2025

Abstract In the context of the global “Carbon Peaking and Carbon Neutrality” initiative, the injection of carbon dioxide (CO₂) into depleted gas reservoirs represents a dual-purpose strategy—facilitating long-term carbon sequestration while enhancing hydrocarbon recovery. However, variations in injection parameters at the wellhead can exert pronounced effects on the temperature and pressure conditions at the bottom of the well. These variations, in turn, influence the geomechanical behavior of reservoir rocks and the displacement efficiency of CO₂ within the formation. Precise prediction of downhole thermodynamic conditions is therefore essential for optimizing injection performance and ensuring reservoir stability. To address… More >

Keyuan Chen¹, Xingkao Zhang¹, Li Ma¹, Jueyi Ye¹, Qi Qiu¹, Haoxiang Zhang¹, Ju Rong^1,*, Yudong Sui^1,*, Xiaohua Yu^1,2, Jing Feng¹

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 685-700, 2025, DOI:10.32604/cmc.2025.060713 - 26 March 2025

Abstract The deep potential (DP) is an innovative approach based on deep learning that uses ab initio calculation data derived from density functional theory (DFT), to create high-accuracy potential functions for various materials. Platinum (Pt) is a rare metal with significant potential in energy and catalytic applications, However, there are challenges in accurately capturing its physical properties due to high experimental costs and the limitations of traditional empirical methods. This study employs deep learning methods to construct high-precision potential models for single-element systems of Pt and validates their predictive performance in complex environments. The newly developed DP… More >

Zhi-Xiang Wei¹, Wen-Wei Wang^2,*, Yan-Jie Xue³, Wu-Tong Zhang², Qiu-Di Huang²

Structural Durability & Health Monitoring, Vol.19, No.2, pp. 347-364, 2025, DOI:10.32604/sdhm.2024.054559 - 15 January 2025

Abstract To investigate the performance of utilizing the shape memory effect of SMA (Shape Memory Alloy) wire to generate recovery stress, this paper performed single heating recovery stress tests and reciprocating heating-cooling recovery stress tests on SMA wire under varying initial strain conditions. The effects of various strains and different energized heating methods on the recovery stress of SMA wires were explored in the single heating tests. The SMA wire was strained from 2% to 8% initially, and two distinct heating approaches were employed: one using a large current interval for rapid heating and one using… More >

R. Vigi^a, G. R. Štrbac^a, D. D. Štrbac^b,*, O. Bošák^c, M. Kubliha^c

Chalcogenide Letters, Vol.21, No.1, pp. 21-37, 2024, DOI:10.15251/CL.2024.211.21

Abstract The processes of glass-transition and crystallization of chalcogenide glass As₄₀Se₃₀Te₃₀ with 5 at.% silver were analyzed using differential scanning calorimetry. The values of glass-transition temperatures and activation energy were determined. Two crystallization processes were also detected and three-dimensional growth. Using non-isoconversional models the activation energies for both processes amounted to 112(2) kJ/mol and 97(2) kJ/mol. Isoconversional models were used to track changes in activation energy. The presence of Te significantly affects the thermal parameters as well as the structure of the glass while the presence of Ag does not significantly change the degree of connectivity of More >

Vladimir Konovalov^*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2541-2563, 2024, DOI:10.32604/fdmp.2024.051219 - 28 October 2024

Abstract The regime of horizontal subcooled film boiling is characterized by the formation of a thin layer of vapor covering the surface of a flat horizontal heater. Based on the equations of motion of a viscous incompressible fluid and the equation of heat transfer, the stability of such a vapor film is investigated. The influence of the modulation of the gravity field caused by vertical vibrations of the heater of finite frequency, as well as a constant electric field applied normal to the surface of the heater, is taken into account. It is shown that in… More >

Qiang Liu¹, Rujun Wang¹, Yintao Zhang¹, Chong Sun¹, Meichun Yang¹, Yuliang Su^2,*, Wendong Wang², Ying Shi², Zheng Chen²

Energy Engineering, Vol.121, No.10, pp. 2797-2823, 2024, DOI:10.32604/ee.2024.052007 - 11 September 2024

Abstract Deep condensate gas reservoirs exhibit highly complex and variable phase behaviors, making it crucial to understand the relationship between fluid phase states and flow patterns. This study conducts a comprehensive analysis of the actual production process of the deep condensate gas well A1 in a certain oilfield in China. Combining phase behavior analysis and CMG software simulations, the study systematically investigates phase transitions, viscosity, and density changes in the gas and liquid phases under different pressure conditions, with a reservoir temperature of 165°C. The research covers three crucial depletion stages of the reservoir: single-phase flow,… More >

Dmitry Bratsun^*, Kirill Kostarev

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.8, pp. 1785-1798, 2024, DOI:10.32604/fdmp.2024.048206 - 06 August 2024

Abstract Swarms of self-organizing bots are becoming important elements in various technical systems, which include the control of bacterial cyborgs in biomedical applications, technologies for creating new metamaterials with internal structure, self-assembly processes of complex supramolecular structures in disordered media, etc. In this work, we theoretically study the effect of sudden fluidization of a dense group of bots, each of which is a source of heat and follows a simple algorithm to move in the direction of the gradient of the global temperature field. We show that, under certain conditions, an aggregate of self-propelled bots can… More > Graphic Abstract

JIYU WANG^1,#, LIUYING YI^2,#, KEKE HUANG¹, YANGYANG WANG¹, HUIPING WANG¹, ZHIMIN ZHAI^1,*

BIOCELL, Vol.48, No.3, pp. 453-462, 2024, DOI:10.32604/biocell.2024.047871 - 15 March 2024

Abstract Background: The primary cause of treatment failure in patients with refractory or relapsed B-cell non-Hodgkin lymphoma (r/r B-NHL) is resistance to current therapies, and therapy-induced senescence (TIS) stands out as a crucial mechanism contributing to tumor drug resistance. Here, we analyzed SENEX/Rho GTPase Activating Protein 18 (ARHGAP18) expression and prognostic significance in doxorubicin-induced B-NHL-TIS model and r/r B-NHL patients, investigating its target in B-NHL cell senescence and the effect of combining specific inhibitors on apoptosis resistance in B-NHL-TIS cells. Methods: Raji cells were transfected with the human SENEX shRNA recombinant lentiviral vector (Sh-SENEX) and the empty vector… More >

Miao He^1,2, Yihang Zhang^1,*, Mingbiao Xu^1,2,*, Jun Li³

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 1031-1046, 2020, DOI:10.32604/fdmp.2020.011145 - 09 October 2020

Abstract This study presents a new multiphase flow model with transient heat transfer and pressure coupling to simulate HTHP (high temperature and high pressure) sour gas “kicks” phenomena. The model is intended to support the estimation of wellbore temperature and pressure when sour gas kicks occur during drilling operation. The model considers sour gas solubility, phase transition and effects of temperature and pressure on the physical parameters of drilling fluid. Experimental data for a large-diameter pipe flow are used to validate the model. The results indicate that with fluid circulation, the annulus temperature with H₂S kicks is… More >