International Journal of Mechanics and Materials in Design最新文献

{"title":"A compact local thermal non-equilibrium model for thermal optimization of corrugated fin in the presence of penta-hybrid nanofluids","authors":"Manaswini R,&nbsp;S. Manjunatha,&nbsp;T. N. Tanuja,&nbsp;B. J. Gireesha","doi":"10.1007/s10999-026-09926-0","DOIUrl":"10.1007/s10999-026-09926-0","url":null,"abstract":"<div><p>The wavy fin made with a wavelike pattern that enhances surface area and boosts heat transfer efficiency by disturbing the airflow for better cooling and makes them perfect for applications in energy conversion devices. Hence, a new mathematical model describing the heat transfer through wavy fin under the Local Thermal Non-Equilibrium (LTNE) is developed. The LTNE framework is employed because the solid and fluid phases exhibit distinct thermal characteristics. Consequently, separate energy equations are formulated for the solid and fluid phases. The fin is wetted with penta-hybrid nanofluid in order to improve the system’s thermal efficiency. The impact of nanoparticle morphology, more especially spherical and blade-like shapes, on the thermal properties of the fin is also investigated. The Runge–Kutta–Fehlberg fourth fifth-order (RKF45) method is used to solve the governing nonlinear ordinary differential equations numerically after they are non-dimensionalised. The numerical results are benchmarked with pre-existing results and are closely aligned with them. One important finding demonstrates that waviness improves interphase heat transfer, making the fluid hotter in the mid-region while conduction keeps the solid hotter at the base and tip. Further, from the analysis, it is seen that, the solid temperature rise due to the penta-hybrid nanofluid ranges from around 6% at the base to nearly 66% at the tip at an almost the difference of 6%. Blade-shaped nanoparticles deliver even greater thermal enhancement due to their stronger fluid interaction and larger effective surface area. The Artificial Neural Network (ANN) model’s accuracy in forecasting the efficiency of the fin is supported by the regression coefficient <span>(R = 1)</span>.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148172206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal propagation in hybrid magneto-nanofluid flow over a permeable spinning disk with nonlinear radiation and heat source: finite element perspective","authors":"N. Janaki Phani Madhuri,&nbsp;MD. Shamshuddin,&nbsp;S. O. Salawu","doi":"10.1007/s10999-026-09930-4","DOIUrl":"10.1007/s10999-026-09930-4","url":null,"abstract":"<div><p>Thermal management in rotating machinery, solar energy systems, and porous-based heat devices requires advanced working fluids with superior heat transport capability. Thus, this paper presents a finite element model for the investigation of magnetohydrodynamic (MHD) flow of hybrid nanofluid, moreover transfer of heat across a spinning disk, described using the Tiwari–Das model. Two nanofluids have been considered: a common nanofluid (<i>Cu–H</i>_<i>2</i><i>O</i>) and a hybrid nanofluid (<i>Cu</i> + <i>Fe</i>_<i>3</i><i>O</i>_<i>4</i> + <i>H</i>_<i>2</i><i>O</i>), with effective thermophysical properties added to simulate improved heat transfer. Non-dimensional momentum and energy equations of governing are developed by adding buoyancy forces, nonlinear thermal radiation, a non-uniform heat source/sink, and Ohmic dissipation. The strongly nonlinear coupled system is addressed through the finite element method (FEM) that provides stability and accuracy in the representation of velocity and temperature distributions. Parametric analysis is conducted to study the influence of magnetic field intensity, buoyancy factor, volume fraction of nanoparticles, radiation parameter, and strength of heat source/sink. Key engineering results, such as skin friction coefficients and the Nusselt number, are determined. Results show that <i>Cu</i> + <i>Fe</i>_<i>3</i><i>O</i>_<i>4</i> + <i>H</i>_<i>2</i><i>O</i> hybrid nanofluid has higher thermal transportation compared with <i>Cu–H</i>_<i>2</i><i>O</i>, whereas nonlinear and buoyancy forces significantly modify the boundary layer structure. This paper illustrates the capability of FEM to simulate intricate nanofluid transport phenomena of rotating machinery and thermal energy systems.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148173659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electric and magnetic field driven nanofluid flow past a conical-disk setup with dilute suspension of magnetite nanoparticles","authors":"Jyoti Prakash Sharma,&nbsp;Rakesh Kumar","doi":"10.1007/s10999-026-09923-3","DOIUrl":"10.1007/s10999-026-09923-3","url":null,"abstract":"<div><p>Electromagnetohydrodynamic (EMHD) mechanisms play a crucial role in controlling the momentum and energy transport in nanofluid-based systems, offering significant prospects for advanced thermal regulation systems. The current work investigates the coupled influence of externally imposed magnetic and electric fields on nanofluid flow across a rotating conical disk, incorporating Hall current and ion-slip effects to capture finite conductivity phenomena. Two novel scenarios are defined: (i) flow in the absence of an electric field, (ii) flow under an externally imposed electric field. Utilizing similarity transformations, the resulting nonlinear governing equations has been solved numerically using the bvp5c, and a comparative evaluation is done to authenticate the results. The influence of key parameters on velocity profiles (flow), temperature and heat transfer efficiency are illustrated through graphical and tabular results. The findings reveal that the externally applied electric field serves as a primary electromagnetic control mechanism, substantially enhancing the velocity magnitude and temperature distribution. In the absence of electric forcing, the flow exhibits outward radial motion along both the disk and conical surfaces and localized temperature gradients near the disk. The introduction of an electric field alters the flow structure by reversing the radial motion and suppressing axial inflow near the disk, strengthening axial outflow adjacent to the conical surface and redistributing thermal energy more uniformly across the flow domain. These results provide new physical insight into electromagnetic regulation of nanofluid transport and support the modeling and design of electromagnetically controlled systems.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148173467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Consistent dynamic equivalence and parameter influence analysis of large space truss structures with explicit joint properties","authors":"Jinfeng Deng,&nbsp;Yongjun Lei,&nbsp;Dongxu Li,&nbsp;Shiyao Zhu","doi":"10.1007/s10999-026-09920-6","DOIUrl":"10.1007/s10999-026-09920-6","url":null,"abstract":"<div><p>Accurate equivalent modeling of large space truss structures (LSTSs) is important for dynamic analysis, structural design, and vibration-oriented applications. However, many existing equivalent models still idealize mechanical joints and neglect their finite dimensions and complete parameter set, which can reduce predictive fidelity. This paper proposes a joint-explicit dynamic Equivalent Beam Model (EBM) for LSTSs within a consistent energy-equivalence framework. The model explicitly accounts for joint mass/inertia, finite joint length, and six-degree-of-freedom stiffness, thereby establishing a parameter-transparent continuum surrogate that directly links joint-level properties to global dynamics. The proposed EBM is validated against a high-fidelity FEM under free-free and clamped-free boundary conditions, and is further assessed by a preliminary modal test on a 16 m cantilever truss. For the baseline joint configuration, the maximum deviation from FEM is below 4%; when all joint stiffness coefficients are reduced to 10% of the baseline values, the deviations remain below 10% for all listed modes. In the experimental validation, the predicted first three bending frequencies remain within 8% of the measured results. The results further show that joint tensile stiffness mainly affects lower-order transverse modes, whereas joint bending stiffness becomes increasingly influential for higher-order modes. Joint length also becomes important when its stiffness per unit length differs significantly from that of adjacent members.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148173468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magneto-responsive hemodynamic behaviour of nanofluids in biomedical transport: a multiphysics design approach and artificial neural network predictions","authors":"Sahin Ahmed,&nbsp;S. R. Mishra","doi":"10.1007/s10999-026-09931-3","DOIUrl":"10.1007/s10999-026-09931-3","url":null,"abstract":"<div><p>The current investigation emphasis on the hemodynamics of blood doped with silver Ag nanofluids in stenosed arteries under the influence of uniform magnetic field has been analyzed. A semi experimental model has been developed in COMSOL Multiphysics to simulate blood flow having microorganism and silver nanoparticles under varying non-dimensional parameters like Reynolds number, Hartmann number, and bioconvection Lewis number. Key insights of the investigation exhibited augmented shear stress at the wall of the stenosis for the higher Reynolds number, which may increase the risk of vascular damage. In contrast, elevated impact of Hartmann number stabilizes the blood flow, reduces the shear stress which may reduce the deformation of the arteries. Furthermore, the bioconvection Lewis number enhances the microbial activity, leading to uneven distribution of microorganisms within the fluid domain. The height of the stenosis also plays a pivotal role; greater stenosis height may disrupt the fluid motion and the flow become turbulent due to which the temperature of the fluid may also enhances. The antimicrobial property and higher thermal conductivity of Ag nanoparticles provide potential biomedical benefits. The numerical framework exhibited excellent stability, with Finite Element Method (FEM) residuals consistently converging below 10⁻⁶, ensuring robust computational accuracy. Comparative validation with benchmark studies further confirmed the reliability of the simulations, strengthening confidence in the obtained hemodynamic predictions. To assess the reliability of the computational results, an Artificial Neural Network (ANN) surrogate model was compared with a finite-difference reference solution. The ANN predictions showed excellent agreement, with all variables reaching very low Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) values and R² consistently above 0.99—including near-perfect accuracy for the pressure field (R² = 1.0). These outcomes confirm that the surrogate model effectively reproduces the numerical solution. With these findings, the study provides useful insights for exploring nanofluid-assisted cardiovascular treatments, controlled drug transport, and magnetically influenced bioconvective phenomena.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148009625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An analysis of unsteady thermo-viscous fluid flow around moving horizontal cylindrical surface","authors":"N. Pothanna,&nbsp;MD. Shamshuddin,&nbsp;J. Suresh Goud","doi":"10.1007/s10999-026-09929-x","DOIUrl":"10.1007/s10999-026-09929-x","url":null,"abstract":"<div><p>The current study explores an analysis of unsteady thermo-viscous fluid flow around a moving horizontal cylindrical surface. The modeling of partial differential equations pertaining to the flow through cylindrical objects is coupled, complex, and non-linear in nature. These equations have been analyzed for the solutions of velocity and temperature fields. The numerical techniques used so far in literature are very complex; moreover, they are not giving accurate, convergent solutions because of their own disadvantages. These methods also require more time, high computational cost, and processing resources to obtain the required results. The available analytical methods to solve these kinds of equations are not applicable since these are simultaneous, highly non-linear equations. The tool NDsolve, developed in Mathematica software, is utilized to solve these problems in the current study. The code of the algorithm has been developed in this software via. Runge–Kutta finite difference 6th-order method to obtain the results of the modeling equations. The results obtained have been depicted in graphical illustrations and tabular data. The numerous values of the material constraints such as viscosity coefficient, temperature gradient factor, thermo-mechanical interaction factor, strain thermal conductivity factor, pressure gradient factor, and Fourier thermal conductivity constraint effects have been studied as graphical plots and tabular data. Additionally, numerical findings of the governing equations for a fluid’s slow, steady motion have been obtained, and comparison is made with the current available literature results; they show great agreement. The modeled governing equations of the present study have been observed in the studies of flows through the pipeline systems and nuclear reactors.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148008944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural networks based predictive model to enhance thermal transfer rate in battery cooling performance using ethylene glycol-based hybrid nanofluid","authors":"Shaik Mohammed Ibrahim,&nbsp;Abhishek Sharma,&nbsp;Arpita Biswas,&nbsp;Ram Prakash Sharma","doi":"10.1007/s10999-026-09928-y","DOIUrl":"10.1007/s10999-026-09928-y","url":null,"abstract":"<div><p>The analysis of heat transfer plays a significant role in improving liquid cooling efficiency in cylindrical battery modules. On the basis of the above-mentioned fact, a natural convective magnetohydrodynamic two-dimensional flow of a hybrid nanofluid is examined past a permeable stretching surface with a applications in cooling cylindrical battery packs. A hybrid nanofluid model is developed using silver (Ag) and titanium oxide (<span>({text{TiO}}_{2})</span>) nanoparticles with a base fluid composed of ethylene glycol—water (<span>({text{C}}_{3} {text{H}}_{8} {text{O}} - {text{H}}_{2} {text{O}})</span>) (50–50%). The current study is structured using partial differential equations, which are subsequently transformed into ordinary differential equations through appropriate similarity transformations. Numerical solutions are derived utilizing the bvp4c inbuilt code in MATLAB software. Furthermore, predictive analysis is performed using a machine learning-based approach, specifically, employs the Levenberg–Marquardt algorithm with well-posed training, testing, and validation datasets. Additionally, a brief error analysis is presented, and the variations of the characterizing parameters are illustrated through graphs. The results indicate that increasing magnetic effects and porosity, along with temperature and space-dependent heat sources, significantly thickens the layer of thermal boundary of the nanofluid. The results show that heat generation leads to a 52.12% increase in temperature. However, a 9.31% drop in the battery's maximum temperature was seen upon switching from silver nanoparticles to titanium oxide nanoparticles. Additionally, the influence of volume fractions on skin friction and the Nusselt number is analysed and illustrated. Additionally, the predictive dataset for the Nusselt number achieves an excellent correlation, reflected by a regression value of 99.58%.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148009046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural network modeling of magnetized tri-hybrid nanofluid flow over a curved surface for solar aircraft thermal management","authors":"Abhishek Sharma,&nbsp;Ram Prakash Sharma,&nbsp;Thirupathi Thumma","doi":"10.1007/s10999-026-09917-1","DOIUrl":"10.1007/s10999-026-09917-1","url":null,"abstract":"<div><p>The conversion of solar radiation into thermal energy has gained significant interest due to the rising demand for renewable energy. Tri-hybrid nanofluid (THNF) flow across curved Riga surfaces can enhance solar-thermal system efficiency in solar aircraft by improving heat transfer capabilities. In light of this importance, this study examines the THNF flow over a curved Riga surface with the impact of heat source and thermal radiation, focusing on enhancing thermal conductivity and thermal transfer efficiency. The enhancement is achieved by incorporating cobalt ferrite, cadmium telluride, and tantalum nanoparticles into a water-based fluid. The governing equations are transformed using appropriate similarity transformation procedures, and the 4th-order Runge–Kutta approach is introduced along with the shooting method to determine the unknown initial condition for solving the system of equations. A novel aspect of this research is the enhancement of rate coefficients, which is achieved through neural network-driven regression modeling, utilizing the Levenberg–Marquardt optimization technique. The findings reveal that the revised Hartmann number significantly increases the velocity distribution, while curvature parameters have an opposing effect on the temperature profile. For the tri-hybrid nanofluid case, the heat transfer rate is enhanced by approximately 33% with increasing thermal radiation and about 39% with rising curvature parameter, indicating a significant improvement in thermal performance. These results offer valuable insights for optimizing heat management techniques in solar aircraft systems, contributing to improved energy efficiency and system performance.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147938480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonlinear vibration analysis of viscoelastic sandwich beams by the generalized differential quadrature method and harmonic balance method","authors":"Mert Serveren,&nbsp;Aytaç Arıkoğlu,&nbsp;Özgür Demir","doi":"10.1007/s10999-026-09924-2","DOIUrl":"10.1007/s10999-026-09924-2","url":null,"abstract":"<div><p>This study investigates the nonlinear forced vibration of three-layered curved sandwich beams with a viscoelastic core and elastic face sheets. By using Hamilton’s principle and First-order Shear Deformation Theory (FSDT), the governing equations are derived to account for large-deflection geometric nonlinearities. The core's frequency-dependent behaviour is modeled via fractional-order viscoelasticity. A novel, computationally efficient framework is developed by integrating the Harmonic Balance Method (HBM) with the Generalized Differential Quadrature Method (GDQM). The nonlinear equations are linearized using the Newton–Raphson method and discretized into algebraic form. To the best of the authors’ knowledge, this represents the first application of a combined GDQM–HBM framework to curved sandwich structures under fractional Zener modelling. Validation against existing literature confirms the model's accuracy and precision. The results show that viscoelastic core thickness primarily enhances damping, while increased beam curvature significantly intensifies membrane-induced axial forces and triggers a transition from hardening to softening behaviour. Furthermore, load positioning fundamentally alters the nonlinear response even under identical geometric conditions. These findings provide a practical benchmark for the precise design and stability analysis of viscoelastic curved structures in large-deflection regimes.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10999-026-09924-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147938172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Activation energy and chemical reaction on 3D MHD flow of Casson–Williamson Nanofluid","authors":"P. B. Sampath Kumar","doi":"10.1007/s10999-026-09919-z","DOIUrl":"10.1007/s10999-026-09919-z","url":null,"abstract":"<div><p>This work investigates the heat transfer and three-dimensional magnetohydrodynamic (MHD) flow of a Casson-Williamson nanofluid over a stretching surface. To account for non-Newtonian behavior, the base fluid is modeled using the Casson-Williamson rheological framework, while the nanoparticle transport is described through the Buongiorno nanofluid model, incorporating the effects of Brownian motion and thermophoresis. The study considers the influences of internal heat generation, an applied magnetic field, activation energy and chemical reaction. Similarity transformations are employed to reduce the governing nonlinear partial differential equations to a system of ordinary differential equations, which are solved numerically using Runge–Kutta method. Key physical characteristics are thoroughly analyzed, focusing on temperature profiles and axial and transverse velocity fields. Quantitative analysis indicates that increasing the heat source parameter substantially enhances the thermal field, while higher activation energy promotes nanoparticle concentration. In contrast, stronger chemical reaction effects significantly suppress the concentration distribution. These findings provide valuable insights for engineering and industrial processes involving hybrid non-Newtonian nanofluid.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"22 2","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147938055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}