Propulsion and Power Research最新文献

{"title":"Suppression separation in conical shock wave/turbulent boundary layer interactions through porous bleed control","authors":"Feng-Yuan Zuo ,&nbsp;Lai-Jian Ma ,&nbsp;Si-Qi Wang ,&nbsp;Sergio Pirozzoli","doi":"10.1016/j.jppr.2026.01.001","DOIUrl":"10.1016/j.jppr.2026.01.001","url":null,"abstract":"<div><div>The separation control of conical shock wave/boundary layer interaction (CSBLI) has been investigated at Mach number <span><math><mrow><mi>M</mi><mo>=</mo><mn>2.05</mn></mrow></math></span> with Reynolds number of <span><math><mrow><msub><mrow><mi>R</mi><mi>e</mi></mrow><mi>τ</mi></msub><mo>≈</mo><mn>150</mn></mrow></math></span>. Simulations of both controlled and uncontrolled CSBLI flow have been performed using the RANS equations with Spalart-Allmaras (S-A) turbulence model. According to the comprehensive quantitative comparison with a high-fidelity DNS database, the S-A model accurately enable to reproduce the separation behaviors under the low-Reynolds-number condition. Due to the well arranged porous bleed method, the separation bubble has been effectively suppressed, together with the evolution of conical shock-induced horseshoe vortices. Furthermore, a corrected method for describing porous bleed control performance is developed for the CSBLI flow with spanwise pressure gradient. All data collapse well along with the predicted curve, which means it can be conveniently fitted by a simple quadratic function. This modified model also exhibits well collapse in swept-fin SBLI by porous bleed control, suggesting its potential universality with effect of spanwise pressure gradient.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 1-15"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating peristaltic motion of ternary nanofluids using cubic regression with couple stress and Darcy-Forchheimer influence","authors":"Pooja Devi,&nbsp;Bhuvaneshvar Kumar","doi":"10.1016/j.jppr.2026.02.004","DOIUrl":"10.1016/j.jppr.2026.02.004","url":null,"abstract":"<div><div>This study investigates the peristaltic motion of magnetohydrodynamic (MHD) couple-stress ternary nanofluids through an inclined asymmetric porous channel under the influence of Darcy-Forchheimer drag. Two blood-based ternary nanofluid formulations are considered: T1 (Ag+TiO₂+Cu) and T2 (Au+Fe₃O₄+multi-walled carbon nanotube, MWCNT). Two ternary nanofluid combinations (Ag+TiO₂+Cu and (Au+Fe₃O₄+multi-walled carbon nanotube, MWCNT) were selected to compare metallic-oxide blends with hybrid magnetic-carbon structures, enabling assessment of their distinct thermal and rheological advantages. The governing equations of momentum, energy, and concentration are developed under the long wavelength and low Reynolds number assumptions and transformed into a dimensionless form. The effects of couple stress, magnetic field, porosity, heat generation, and chemical reaction are examined using a shooting technique coupled with the classical fourth-order Runge-Kutta (RK-4) method. Results show that the magnetic field and Forchheimer effects increase flow resistance, while higher Darcy numbers enhance velocity and thermal performance. Ternary nanofluid-2 exhibits superior thermal and mass transfer rates due to the synergistic influence of Au, Fe₃O₄, and MWCNT nanoparticles, which offer higher conductivity and lower interfacial resistance. The outcomes provide physical insights relevant to biomedical pumping, targeted drug transport, and thermal regulation in microfluidic devices. A cubic regression model is used because it captures nonlinear interactions among magnetic, porous, and couple-stress parameters more accurately than linear or quadratic models, enabling reliable prediction of complex peristaltic flow behavior.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 87-112"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fractal geometry-based Klein-Gordon model for heat and mass transfer in a cylindrical cavity with variable thermal conductivity","authors":"Abhik Sur ,&nbsp;Soumik Das ,&nbsp;Vipin Gupta ,&nbsp;Wei Peng ,&nbsp;Hijaz Ahmad ,&nbsp;Taha Radwan","doi":"10.1016/j.jppr.2026.02.007","DOIUrl":"10.1016/j.jppr.2026.02.007","url":null,"abstract":"<div><div>This study presents a generalized framework of vector calculus for non-integer dimensional spaces, motivated by the prevalence of fractals in nature. The work formulates first- and second-order differential operators, including gradient, divergence, and scalar and vector Laplacian, for scalar and rotationally covariant vector functions. This framework is applied to the thermoelastic response of an infinite fractal medium with a cylindrical cavity, a problem that incorporates thermoelastic mass diffusion and variable thermal conductivity through the Kirchhoff transformation. The system is analyzed under combined thermal and chemical shocks at the boundary, with the medium remaining mechanically fixed. The governing equations are solved using the Laplace transform method, and Zakian technique is employed for numerical inversion. The computational results indicate that parameters such as delay time and fractal dimension significantly influence the material's response. The graphical analysis visually examines the effects of different kernel functions, fractal dimension, variable thermal conductivity, nonlocal length and time scales on the thermoelastic response, providing a clear illustration of their impact. Specifically, an increase in fractal dimension leads to a more pronounced reduction in the thermoelastic response near the cylindrical cavity. Furthermore, an examination of different memory-dependent kernel functions reveals that nonlinear kernels demonstrate superior performance compared to linear kernels within this theoretical framework.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 179-196"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensitivity analysis of couple-stress nanofluids under active control, zero mass flux and slip conditions: Effects of combined fluxes","authors":"Tadesse Lamesse,&nbsp;Wubshet Ibrahim","doi":"10.1016/j.jppr.2026.03.001","DOIUrl":"10.1016/j.jppr.2026.03.001","url":null,"abstract":"&lt;div&gt;&lt;div&gt;The present study investigates the flow and heat transfer behavior of couple stress nanofluids under active control zero mass flux at the boundary mechanisms and sensitivity analysis of it. It focuses on three-dimensional couple stress nanofluid flow, incorporating non-Fourier thermal along with non-Fick mass flux models (combined fluxes) within a second-degree slip model framework. Its aim is to explore the influence of magnetohydrodynamic effects and velocity slip conditions on the heat and mass transfer characteristics of couple stress nanofluids. This work aims to deliver a holistic insight into the ways these factors alter fluid flow and heat transfer mechanisms. The initial set of coupled nonlinear partial differential equations is transformed into higher-order nonlinear ordinary differential equations using similarity transformation then solved by Galerkin finite element method. The numerical results are verified through grid independence tests, confirming consistency. The presence of couple-stress effects introduces higher-order momentum derivatives; however, the interaction between these microstructural effects and second-order slip boundary conditions remains largely unexplored. From a numerical standpoint, many previous investigations rely on traditional solution techniques that face limitations when dealing with strongly nonlinear, higher-order systems. In contrast, finite element method based sensitivity analyses for such coupled nonlinear models are notably limited in the existing literature. The findings reveal that velocity increases with the couple stress parameter, mixed convection, and buoyancy parameter, while it decreases with increasing magnetic. The velocity and temperature profiles decrease with lower first-order slip &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;γ&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and temperature relaxation time &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;δ&lt;/mi&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; whereas higher second-order slip &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;δ&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and concentration relaxation time &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;δ&lt;/mi&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/msub&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; lead to increased velocity and concentration profiles. Moreover, 62.07% of the results show an increase in key metrics, while 37.93% show a decrease. Furthermore, the elevated values of the coefficient of determination, &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;99.1&lt;/mn&gt;&lt;mo&gt;%&lt;/mo&gt;&lt;mtext&gt;,&lt;/mtext&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; and adjusted &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;98.7&lt;/mn&gt;&lt;mo&gt;%&lt;/mo&gt;&lt;mtext&gt;,&lt;/mtext&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; highlight the model's excellent capability in accurately predicting the thermal characteristics of the system. Using sensitivity analysis &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;N&lt;/mi&gt;&lt;mi&gt;t&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; is the most influential factor with a strong positive sensitivity, indicating that increasing thermophoresis significantly enhances the sensitivity of &lt;span&gt;&lt;","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 113-143"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Size-dependent thermoelastic diffusion in micro-scale cylinders: Influence of thermal and diffusive length scales with phase delay effects","authors":"Ahmed E. Abouelregal ,&nbsp;Kareem Alanazi ,&nbsp;Marin Marin","doi":"10.1016/j.jppr.2026.02.002","DOIUrl":"10.1016/j.jppr.2026.02.002","url":null,"abstract":"<div><div>This work presents the first comprehensive framework to simultaneously incorporate spatial nonlocality and temporal phase-lag effects for coupled heat and mass transport in a cylindrical configuration. The model introduces two distinct nonlocal length scales, for thermal conduction and mass diffusion, respectively, alongside dual relaxation times, overcoming the scale limitations of classical continuum theories. A dual-phase-lag thermoelastic diffusion model is derived by generalizing the Lord-Shulman theory through nonlocal reformulations of Fourier’s and Fick’s laws. This formulation ensures finite signal speeds and captures the size-dependent response essential at micro- and nanoscales. The theory is applied to an infinitely long solid cylinder subjected to a transient surface load: a Gaussian-modulated cosine thermal pulse and an exponentially decaying chemical potential. Under axisymmetric conditions, all field quantities depend only on radial position and time. The governing equations are solved analytically via the Laplace transform, with solutions in the transformed domain expressed using modified Bessel functions. Time-domain results are recovered through numerical inversion based on a Fourier-series expansion. Results demonstrate that nonlocal and phase-lag parameters significantly dampen mechanical fields (displacement and stress) while amplifying and smoothing thermal and diffusive fields (temperature and concentration). The interplay between thermal and diffusive nonlocalities produces synergistic damping and enhanced penetration depths, effects unattainable with local or single-phase-lag models. This advanced framework provides a critical predictive tool for the design and analysis of micro- and nano-scale systems, including MEMS, semiconductor devices, energy-storage media, and biomedical implants, where coupled thermo-diffusive-mechanical interactions dictate performance and reliability.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 67-86"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensitivity analysis of the wire-coting process using a generalized Newtonian nanofluid with temperature-dependent properties","authors":"Ahmad Ayyad Alharbi ,&nbsp;Ali Rashash Alzahrani","doi":"10.1016/j.jppr.2026.02.008","DOIUrl":"10.1016/j.jppr.2026.02.008","url":null,"abstract":"<div><div>In this work the Carreau-Yasuda nanofluid is used to coat the wire in pressure type die. The properties of the liquid are considered temperature dependent in this study. This study involves theoretical results and data is collected with suitable numerical scheme Runge-Kutta-Fehlberg method. This numerical data is further utilized to check the parametric sensitivity of coated thickness and heat transfer rate with Surface Methodology (RSM). In order to do this, we formulated Analysis of Variance (ANOVA) tables and establish correlations between our results and the input parameters. The wire-coated thickness (<em>R</em>) is more sensitive to variable thermal conductivity; the wire-coated thickness decreases with increasing the values of variable viscosity. The current analysis reveals that the heat transfer rate (<em>Nur)</em> is very less sensitive to thermophoretic effects at a low level as we input the higher value of the thermophoretic the depth of the heat transfer rate (<em>Nur)</em> starts reducing. It is observed that heat transfers rate (<em>Nur)</em> decreases 215.29% and 8.45% by increasing thermophoretic parameter (<em>Nt)</em> and Brownian motion (<em>Nb)</em> from 0 to 1 and <em>Nb</em> from 0.1 to 1 respectively. Increasing the values of variable viscosity parameter from 0 to 3, the radius of coated thickness, shear stress and heat transfer rate decreases 8.59%, 96.1% and 129.15% respectively.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 197-216"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing spectral collocation methods for MHD flow of hybrid nanofluids in porous channels: A Jeffery-Hamel case study","authors":"Ahmed A. Khidir","doi":"10.1016/j.jppr.2026.02.006","DOIUrl":"10.1016/j.jppr.2026.02.006","url":null,"abstract":"<div><div>An advanced spectral numerical framework is developed to investigate the magnetohydrodynamic (MHD) flow of a hybrid nanofluid in a porous Jeffery-Hamel channel. The governing nonlinear differential equations are solved using the Chebyshev spectral collocation method, ensuring high accuracy and rapid convergence. A comprehensive parametric study is conducted to quantify the effects of the Hartmann number, Reynolds number, porosity, and hybrid nanoparticle volume fractions on velocity distributions and flow characteristics. Results indicate that increasing the Hartmann number or porosity enhances fluid velocity in both converging and diverging channels, while higher nanoparticle concentrations accelerate flow in divergent channels but slightly reduce it in convergent channels. Additionally, flow reversal may occur in diverging channels at sufficiently high Reynolds numbers, whereas converging channels remain free of backflow. The numerical scheme demonstrates rapid convergence within a few iterations and excellent agreement with existing numerical benchmarks, confirming its reliability. The present findings have significant physical and engineering implications, including the optimization of heat transfer, fluid transport, and flow control in porous channels and microfluidic systems. The study provides insights for practical applications involving hybrid nanofluids under MHD conditions, such as advanced cooling technologies, energy systems, and porous media flows.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 166-178"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing green propulsion: Experimental analysis of dual-mode operation in a hydrogen peroxide monopropellant thruster","authors":"Djamal Darfilal ,&nbsp;Fatima Alhammadi ,&nbsp;Abderrahim Nabi ,&nbsp;Jeongmoo Huh ,&nbsp;Khatir Mohamed ,&nbsp;Elena Fantino ,&nbsp;Abdul Hai ,&nbsp;Sean Shan Min Swei","doi":"10.1016/j.jppr.2026.01.002","DOIUrl":"10.1016/j.jppr.2026.01.002","url":null,"abstract":"<div><div>Hydrogen peroxide (HTP) is receiving renewed attention as a green monopropellant for small-satellite propulsion. This study presents the design and experimental evaluation of a hydrogen peroxide monopropellant thruster capable of operating in both steady-state and pulsed modes. A modular catalyst bed using silver screens was developed and instrumented to examine decomposition behavior at an HTP concentration of 87.5 wt%. The thruster was tested across a range of operating conditions to assess temperature evolution, pressure stability, and characteristic velocity performance. The results show consistent decomposition, stable operation in both modes, and characteristic velocity efficiencies close to theoretical predictions. Measured temperature profiles enabled the estimation of the decomposition zone, and an uncertainty analysis was conducted to quantify the reliability of the performance metrics. The findings demonstrate that dual-mode operation with silver-based catalysts is feasible within the tested duration and operating range, providing a validated basis for subsequent flight-model development.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 16-31"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-driven modeling and simulation for entropy optimized radiative Darcy-Forchheimer flow of micropolar tri-hybrid nanofluid at a stagnation point","authors":"Maher Jebali ,&nbsp;Sohail Rehman ,&nbsp;Fisal Asiri ,&nbsp;Mohamed Bouzidi ,&nbsp;Mohd Aamir Mumtaz","doi":"10.1016/j.jppr.2026.02.001","DOIUrl":"10.1016/j.jppr.2026.02.001","url":null,"abstract":"<div><div>The Levenberg-Marquardt (LM) backpropagated artificial neural network (ANN) approach can increase simulation speed and precision, enabling better heat transfer in the design and improvement of solar collectors. The aim of this study is to provide adequate mathematical model for optimized thermal transport and to identify entropy degradation mechanism in a boundary layer flow (BLF) at a stagnation point flow utilizing micropolar tri-hybrid nanofluid (tri-HNF) over a embedded in a porous medium. The contribution of dissipative heat, radiative heat permeable media and microrotation are assumed in the model. The tri-HNF composed of <span><math><mrow><mi>A</mi><msub><mi>l</mi><mn>2</mn></msub><msub><mi>O</mi><mn>3</mn></msub></mrow></math></span>, <span><math><mrow><mtext>Cu</mtext></mrow></math></span> and <span><math><mrow><mtext>Ti</mtext><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> nanoparticles dispersed in water. A shooting methodology in conjunction with the Runge-Kutta Fehlberg (RKF-45) method is used to numerically solve the governing equations. The governing equations include thermal radiation, Darcy-Forchheimer model, viscous dissipation, and micropolar effects. The ANN model built on the LM algorithm is used to accurately estimate entropy optimized flow, temperature, and angular momentum. The findings show that the thermal radiation substantially accelerates the heat transmission in tri-HNF. Raising the micropolar parameter increases the fluid temperature and entropy. The Brinkman number increases entropy formation. The results suggest that tri-HNF performs better thermally than NF and HNF. The ANN model achieves remarkable prediction accuracy, with mean squared error (MSE) values ranging from <span><math><mrow><msup><mn>10</mn><mrow><mo>−</mo><mn>8</mn></mrow></msup></mrow></math></span> to <span><math><mrow><msup><mn>10</mn><mrow><mo>−</mo><mn>10</mn></mrow></msup></mrow></math></span>.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 48-66"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Graph convolutional networks modeling for aerodynamic system stability with spatiotemporal topology fusion based on digital twin","authors":"Mingming Zhang ,&nbsp;Yating Zhen ,&nbsp;Simeng Bai ,&nbsp;Xi Nan ,&nbsp;Ning Ma ,&nbsp;Ruoyang Liu ,&nbsp;Quan Wen","doi":"10.1016/j.jppr.2026.02.003","DOIUrl":"10.1016/j.jppr.2026.02.003","url":null,"abstract":"<div><div>Digital twin, as a key direction in the digital transformation, is becoming an important supporting technology for intelligent operation and predictive maintenance of aeroengines. In response to the stability identification of the aerodynamic system, this study proposes a digital twin model based on the flow field topological structure graph convolution, focusing on the topology fusion modeling methods and the recognition strategies of unsteady flow characteristics. This method utilizes the Mapper algorithm in variational mode decomposition (VMD) to extract topological features from high-dimensional time-series data, constructing an adaptive graph structure generation module that reflects the complex dependencies in spatiotemporal sequences. Combining the advantages of time convolutional networks (TCN) and long short-term memory networks (LSTM), a TCN-LSTM time feature extraction module is designed. A spatiotemporal information fusion prediction model is constructed by the graph convolutional networks (GCN) module for the aerodynamic system. The model represents the root mean square error reduction approximately by 81.6% over the benchmark TCN_GCN model. With a prediction performance metric <em>R</em>² of 0.9955, the compressor stability state is well achieved by the high-precision prediction. In addition, the study applies spatial domain topological structure, topological entropy, and measure entropy analysis methods to provide an in-depth description of the aerodynamic instability process of dynamic system. The system instability warning can be detected in advance at 251.6 r, 211.6 r, and 3.6 r by instances. This research combines topological theory with graph neural networks, developing a collaborative intelligent data processing framework. It aims at extracting the spatiotemporal structure and predicting the state of dynamic systems, providing multi-dimensional information for system recognition.</div></div>","PeriodicalId":51341,"journal":{"name":"Propulsion and Power Research","volume":"15 1","pages":"Pages 32-47"},"PeriodicalIF":5.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147661795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}