Advances in Engineering Software最新文献

{"title":"Finite element modelling and experimental validation of two-roller vertical forward flow forming process of EN36B steel","authors":"Acar Can Kocabıçak ,&nbsp;Kyle Nelson ,&nbsp;Saeed Althamer ,&nbsp;Senai Yalçınkaya ,&nbsp;Gregor Kosec ,&nbsp;Lihua Wang ,&nbsp;Magd Abdel Wahab","doi":"10.1016/j.advengsoft.2025.104063","DOIUrl":"10.1016/j.advengsoft.2025.104063","url":null,"abstract":"<div><div>Flow forming is a high-precision metal forming process used to produce thin-walled, rotationally symmetric components with enhanced mechanical properties. This study investigates the two-roller vertical forward flow forming process for EN36B steel through Finite Element Analysis (FEA) using FORGE® NxT 4.0, complemented by experimental validation. Material properties of EN36B steel, including elasticity, thermal, physical, and plasticity characteristics, were modelled with JmatPro software to ensure accurate simulations. Experimental trials included microstructural characterisation, hardness testing, surface roughness evaluation, and twist measurements to validate the numerical model. The FEA simulations provided critical insights into key process parameters such as Von Mises stress, strain, Latham-Cockroft damage, and force dynamics. Defects such as bulging and material build-up were effectively predicted and modelled. Dimensional accuracy was assessed using 3D GOM scanning, revealing a maximum thickness error of 0.3 mm. Discrepancies in force measurements between simulations and experiments were minimal, with deviations of 6.5 % for radial forces and 2.5 % for axial forces. Surface roughness improved significantly, with values decreasing from 2.1 μm Ra to 0.7 μm Ra after vertical forward flow forming.</div><div>Furthermore, the hardness increased from 186 HV to 260 MPa (around 40 %) after the forming due to the work hardening process with plasticity. Tensile stress of the workpiece increased from 620 MPa to 880 MPa without an additional heat treatment process. Due to the roller's high force on the workpiece's outer surface, the hardness testing revealed a maximum value of 279 HV on the outer surface, reducing to a minimum of 236 HV closer to the inner surface. The hardness error between FEA and experimental results is around 2 %. Electron Backscatter Diffraction (EBSD) analysis indicated higher grain deformation at the outside surface compared to the middle and inner surface of the flow-formed tube. The vertical forward flow forming process reached a maximum temperature of approximately 200 °C, which was efficiently managed through water cooling. The study highlights the utility of Arbitrary Lagrangian-Eulerian (ALE) formulations and remeshing techniques in simulating complex deformation patterns. These methods provide critical insights for optimising the flow forming process and advancing the manufacture of EN36B steel components.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104063"},"PeriodicalIF":5.7,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520411","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":"Research on vibrational characteristics of joined spherical- conical-cylindrical shells with multiple annular plates","authors":"Zhou Huang ,&nbsp;Xianjie Shi ,&nbsp;Peng Zuo","doi":"10.1016/j.advengsoft.2025.104059","DOIUrl":"10.1016/j.advengsoft.2025.104059","url":null,"abstract":"<div><div>A dynamic analysis model is developed to investigate the free vibration characteristics of a spherical-conical-cylindrical shell-circular plate coupling structure (SCCCCS). First, within the framework of the first-order shear deformation theory, the structural displacement function for a unified analysis model of revolving plate-shell structures is derived using spectro-geometric method. The artificial virtual spring technique is then applied to equivalently simulate the boundary and coupling conditions. The Ritz method is employed to solve the energy functional, resulting in the dynamic equation governing the SCCCCS analytical model. Numerical verification of the model's reliability and accuracy is performed by comparing its results with those obtained from the finite element method over a wide frequency range. A parameterized study on the dynamic characteristics of the SCCCCS under arbitrary boundary conditions is also conducted, considering various relevant parameters. The results indicate that both the semi-vertex angle of the conical shell and the coupling position of the circular plate significantly influence the structural stiffness of the SCCCCS, thereby affecting the variation of its frequency characteristics.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104059"},"PeriodicalIF":5.7,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520353","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":"Feature-preserving mesh generation and simulation for implicitly represented lattice structures","authors":"Zhen Liu,&nbsp;Liang Xia","doi":"10.1016/j.advengsoft.2025.104065","DOIUrl":"10.1016/j.advengsoft.2025.104065","url":null,"abstract":"<div><div>Lattice structures have attracted extensive research interest due to their hierarchical architecture and multi-functional properties, enabling unprecedented design flexibility across diverse engineering fields. In general, lattice structure modeling employs two primary methods: boundary representation (B-rep) and implicit representation. The latter is distinguished by its ability to generate lattice structures with more intricate geometries and more diverse functions compared to the former. However, the generated surface mesh the implicitly represented lattice structures is accomplished by feature distortion, non-manifold meshes, and self-intersecting meshes. This not only results in the failure of the generation of body-fitted meshes for finite element analysis (FEA) but also render the performance of additive manufacturing (AM) using the STL model built from the surface mesh impossible. To address these challenges, this work proposes a novel framework of feature-preserving meshing strategies by extending the dual contouring algorithm. The enhanced algorithm outperforms the dual contouring algorithm by ensuring generated surface meshes strictly adhere to topological validity requirements (manifold, closed, oriented), completely eliminating self-intersections, and faithfully preserving sharp geometric features. Subsequently, the remeshing of the surface mesh is performed to optimize the shape and reduce the count of triangles with preserved sharp geometric features, followed by the generation of body-fitted tetrahedral meshes, as depicted in Fig. 1. Finally, the proposed closed-loop mesh generation workflow generates a finite element (FE) model in the standard .inp file format, ensuring compatibility with commercial computational mechanics software (e.g., ABAQUS, ANSYS). Numerical examples show that the proposed meshing workflow is feasible and effective.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104065"},"PeriodicalIF":5.7,"publicationDate":"2025-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520355","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":"A unified computational tool for residual stress reconstruction in surface-treated, large-scale components with arbitrary geometries using the eigenstrain method","authors":"Ahmed Slimen ,&nbsp;Rabï Ben Sghaier","doi":"10.1016/j.advengsoft.2025.104050","DOIUrl":"10.1016/j.advengsoft.2025.104050","url":null,"abstract":"<div><div>Accurate quantification of residual stresses (RS) is essential to maintaining the structural integrity, durability, and performance of engineering components. Conventional approaches—including experimental techniques and process modeling—often suffer from limitations such as sparse data availability, high computational expense, and demanding material characterization requirements. In contrast, the eigenstrain method has emerged as a powerful alternative, enabling efficient RS reconstruction via linear elastic finite element analysis (FEA), while inherently satisfying equilibrium and compatibility conditions with minimal experimental input.</div><div>Despite its theoretical appeal, the practical application of eigenstrain-based methods—particularly for large-scale engineering components with complex geometries—has been limited by computational demands, lack of native implementation in commercial FEA platforms, and dependence on third-party software. These constraints fragment workflows, increase susceptibility to errors, and hinder broader adoption, highlighting the need for a unified computational framework.</div><div><em>EigenRec3D</em> addresses this gap by providing a fully integrated platform for reconstructing residual stress fields in arbitrary two- and three-dimensional geometries via the eigenstrain method. Implemented entirely within the ANSYS® APDL environment through advanced scripting, it eliminates external dependencies while ensuring computational robustness. Its modular design and intuitive graphical interface streamline setup, minimize user intervention, and enhance accessibility for both research and industrial applications.</div><div>The tool’s capability is validated through case studies involving large-scale, surface-treated components of arbitrary shape, demonstrating accuracy, scalability, and readiness for deployment. EigenRec3D offers a pathway for integration into advanced manufacturing workflows, including additive manufacturing.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104050"},"PeriodicalIF":5.7,"publicationDate":"2025-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468231","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":"Domain-embedded deep learning frameworks for topology optimization: Enhancing structural performance under data scarce environments","authors":"Geonwoo Lee ,&nbsp;Mingyu Lee ,&nbsp;Ikjin Lee","doi":"10.1016/j.advengsoft.2025.104064","DOIUrl":"10.1016/j.advengsoft.2025.104064","url":null,"abstract":"<div><div>Recently, the rapid advancement of deep learning technology has led to the development of numerous topology optimization approaches, significantly reducing computational costs. However, conventional deep learning-based methods inherently suffer from a chronic limitation. They require large-scale data to extract features from the data itself. In particular, in the worst-case scenario where the data is insufficient, these methods may fail to capture the physical characteristics of the structure accurately, potentially leading to physically meaningless and unrealistic results. To solve this problem, this paper proposes an enhanced deep learning model suitable for topology optimization. The main novelty of this study is embedding the feature of topology optimization into a deep learning model. To effectively embed the topology domain, the proposed method introduces three key strategies. Firstly, topology convolutional neural network (CNN) filter layers are incorporated into the neural network model. A CNN is a specialized deep learning architecture designed for grid-structured data such as images, and the topology CNN filter layers are specifically designed to enhance structural connectivity by considering the influence of neighboring elements. Secondly, the pixel-based loss function is augmented with physics-informed loss functions that encapsulate the physical knowledge of topology optimization. Thirdly, a modified output layer is added to prevent zero values in the structure, thereby enhancing numerical stability. Numerical experiments demonstrate that the proposed deep learning approach successfully overcomes the limitations of conventional deep learning methods in data-scarce environments. Furthermore, the results confirm that the proposed method produces designs comparable to the traditional SIMP method.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104064"},"PeriodicalIF":5.7,"publicationDate":"2025-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520354","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":"Rigid-flexible coupling dynamic modeling and adaptive intelligent composite control for a novel redundantly actuated flexible parallel robot","authors":"Dong Liang ,&nbsp;Manjun Cui ,&nbsp;Shiyou Li ,&nbsp;Boyan Chang ,&nbsp;Zhen Wang ,&nbsp;Junpeng Zhang","doi":"10.1016/j.advengsoft.2025.104048","DOIUrl":"10.1016/j.advengsoft.2025.104048","url":null,"abstract":"<div><div>Due to complex nonlinear closed-loop constraints and structural flexibility, the dynamic modeling and control issue on flexible parallel robots is much more challenging compared to serial counterparts. Oriented to the demand of the high-end manufacturing field, this paper proposes a novel lightweight redundant parallel robot with cross layout of guide rail. Based on assumed mode discretization and Kane’s formulation, a general rigid-flexible coupling dynamic model of arbitrary branch incorporating <em>n</em>-order modes is derived. Leveraging modular ideology, the complete rigid-flexible coupling dynamic model of the system is established combining with nonlinear constraint equations, which is solved by the Runge-Kutta algorithm, modal truncation and forward dynamics methodology. The dynamic response comparison results between the redundant parallel robot and the non-redundant parallel robot reveal that the redundant actuation can suppress the elastic vibration. The rigid-flexible coupling dynamic model is then validated by a physical simulation model developed through the MATLAB/Simscape® platform using the finite segment approach. The electromechanical coupling dynamic model is further formulated by integrating the rigid-flexible coupling dynamic model with the permanent magnet synchronous motor and smart material. An adaptive intelligent composite control strategy is proposed to achieve trajectory tracking and vibration suppression. The comparison results with the other three control strategies demonstrate that the adaptive intelligent composite control strategy has superior control performance, exhibiting potential application prospects.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104048"},"PeriodicalIF":5.7,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467796","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":"A physics-informed machine learning computational framework for solving Mohr-Coulomb plasticity in geomechanics","authors":"Ran Yuan ,&nbsp;Xi-Long Huang ,&nbsp;Yong Fang ,&nbsp;Kiyonobu Kasama ,&nbsp;Yin Cheng ,&nbsp;Yi He","doi":"10.1016/j.advengsoft.2025.104061","DOIUrl":"10.1016/j.advengsoft.2025.104061","url":null,"abstract":"<div><div>This paper develops a Physics-Informed Neural Network (PINN) framework for solving Mohr-Coulomb (M-C) plasticity in geomechanics, and the plane strain layered perforated soils subjected to surface compression pressure are employed to validate the PINN solutions, through comparisons with parallel numerical experiments conducted in OptumG2. To incorporate the physical information for the elasto-plastic problem into neural networks (NNs), two modified multi-objective loss functions, respectively known as the collocation loss function and the Least Squares Weighted Residual (LSWR) loss function, are constructed through coarse data-driven information and physical constrains, consisting of M-C constitutive relations, associated/non-associated flow rules, Karush-Kuhn-Tucker (KKT) conditions, equilibrium conditions, and boundary conditions. The total loss function incorporates terms obtained from Finite Element Method (FEM) solutions for a range of elastoplastic field variables, i.e., stress and displacement, to inform the physical knowledge fitting. By employing several independently operating and densely connected artificial neural networks (ANNs), the PINN framework achieves the M-C plastic solutions by minimizing the designed total loss functions. Furthermore, influences of sample size, sampling strategy, and the loss function, on performances of the proposed PINN framework, are investigated for parametric analysis. In all cases, the PINN predictions were compared with finite element solutions at 145,023 mesh points, showing that over 90% of points had relative errors within 10%. The proposed PINN model is effective for data-scarce geotechnical problems, though its performance in regions with significant rates of change in physical quantity still requires further improvement.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104061"},"PeriodicalIF":5.7,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468230","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":"Numerical boundary treatment in meshfree collocation for lid-driven cavity flow in stream function-vorticity form","authors":"Judy P. Yang,&nbsp;Yu-Hui Kao","doi":"10.1016/j.advengsoft.2025.104062","DOIUrl":"10.1016/j.advengsoft.2025.104062","url":null,"abstract":"<div><div>A nonlinear collocation method incorporating numerical boundary treatment is developed to solve lid-driven cavity flow problems governed by the Navier-Stokes equations in the stream function-vorticity form. In contrast to approaches that rely solely on the vorticity formulation, the present method avoids the computational challenges associated with evaluating fourth-order derivatives of reproducing kernel shape functions. To address the difficulties posed by non-physical vorticity boundary conditions, a higher-order finite difference-based numerical boundary scheme is introduced, in which Neumann boundary conditions for the stream function are implicitly enforced. The effectiveness and accuracy of the method are validated through a series of benchmark investigations, demonstrating its robustness and capability to handle a wide range of Reynolds numbers in lid-driven cavity flow problems.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104062"},"PeriodicalIF":5.7,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468232","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":"Optimal local truncation error method for 3-D elastodynamics interface problems on unfitted Cartesian meshes","authors":"A. Idesman,&nbsp;W. Ajwad,&nbsp;M. Mobin","doi":"10.1016/j.advengsoft.2025.104049","DOIUrl":"10.1016/j.advengsoft.2025.104049","url":null,"abstract":"<div><div>This study expands the optimal local truncation error method (OLTEM) with unfitted Cartesian meshes, designed for 2-D elastodynamics with interfaces (wave propagation and structural dynamics), to the general 3-D case and non-homogeneous interface conditions. The technique employs compact 27-point stencils, similar to those used in linear finite elements, while avoiding the introduction of additional unknowns at material interfaces. Importantly, the global semi-discrete equations retain a similar structure for homogeneous and heterogeneous materials. OLTEM with the diagonal mass matrix, suitable for explicit time-integration schemes, represents a subset of the broader formulation using the non-diagonal mass matrix.</div><div>A significant innovation in this work is a new 3-D post-processing procedure for stress calculations. It improves accuracy by incorporating accelerations and the governing elastodynamics equations into the analysis. Like the primary computations, this post-processing technique utilizes compact 27-point stencils. The new post-processing procedure outperforms traditional methods that depend solely on displacements.</div><div>OLTEM with unfitted Cartesian meshes shows superior accuracy compared to linear finite elements with equivalent stencils and conformal meshes, while requiring significantly fewer degrees of freedom (DOF). For instance, at an accuracy of 0.1% for the displacements, OLTEM with the non-diagonal mass matrix reduces the number of DOF by more than <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>4</mn></mrow></msup></mrow></math></span> times; at an accuracy of 0.1% for the stresses, OLTEM with the new post-processing procedure reduces the number of DOF about <span><math><mrow><mn>2</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>6</mn></mrow></msup></mrow></math></span> times compared to linear finite elements. OLTEM also provides increased computational efficiency compared to high-order finite elements, despite their wider stencils and conformal meshes.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104049"},"PeriodicalIF":5.7,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145419536","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":"An efficient multiscale coupling method for simulations of reactor-scale chemical vapor deposition with microstructural features","authors":"Taegeun Kim ,&nbsp;Hyoungsoo Ko ,&nbsp;Jaewon Jang ,&nbsp;Sejin Kim ,&nbsp;Sunyoung Park ,&nbsp;Jae Myung Choe ,&nbsp;Young-gu Kim ,&nbsp;Dae Sin Kim ,&nbsp;Sangseung Lee ,&nbsp;Donghyun You","doi":"10.1016/j.advengsoft.2025.104051","DOIUrl":"10.1016/j.advengsoft.2025.104051","url":null,"abstract":"<div><div>An efficient multiscale coupling method is proposed for simulations of reactor-scale chemical vapor deposition (CVD) with microstructural features. Reactor-scale and microstructure-resolved feature-scale models are coupled through an effective reaction rate formalism, enabling high-resolution deposition simulations while significantly reducing computational cost. A parameterized microstructural model is introduced, in which the relationship between the effective reaction rate and local species consumption rates in the reactor-scale model is directly mapped using precomputed Monte Carlo simulation data. This eliminates the need for iterative calculations or direct numerical simulations of the surface reaction across all the discretized grid points on the wafer, ensuring predictive accuracy while enhancing computational efficiency. Furthermore, an adaptive time-stepping method is developed, dynamically adjusting the time-step size for the feature-scale model based on variations in the effective reaction rate. Through this approach, simulation time is reduced by more than one-third compared to conventional fixed time-step methods, while preserving the accuracy of the effective reaction rate model. The proposed method enables practical and scalable multiscale CVD simulations applicable to industrial reactor design and process optimization, establishing a computationally efficient strategy for integrating reactor-scale and microstructure-resolved feature-scale models.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104051"},"PeriodicalIF":5.7,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145419535","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}