Home / Journals / ICCES / Vol.33, No.3, 2025
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  • Open AccessOpen Access

    PROCEEDINGS

    Koopman-Operator-Based Optimal Predictive Control for Libration Point Orbit Rendezvous

    Zhiguang Zhang, Caisheng Wei, Guanhua Huang, Zeyang Yin*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010967
    Abstract An optimal predictive control method for spacecraft rendezvous based on Koopman operator is proposed for the the libration point rendezvous problem of Earth-moon system. Firstly, the relative motion dynamics model between the chaser and the target spacecraft in the Earth-moon system is established. Secondly, considering the influence of nonlinearity on spacecraft rendezvous control, a global linearization method of nonlinear rendezvous system driven by Koopman operator is proposed. In this method, the Koopman linearization operator is approximated by the extended dynamic mode decomposition (EDMD) method on the finite dimension. Subsequently, based on the linearization model of… More >

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    Research on the Stress Field Measurement Method Based on Terahertz Time-Domain Spectroscopy

    Kai Kang1,*, Zhiyong Wang2,3
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012678
    Abstract Terahertz time-domain spectroscopy (THz-TDS) can be utilized to probe internal parameters of dielectric materials, such as the refractive index. Based on the stress-optic law, stress-induced variations in the refractive index enable the calculation of applied stress through measured changes in the refractive index. This paper introduces a THz-TDS-based methodology for stress field measurement. First, a THz-TDS stress field scanning and imaging system was developed, incorporating an amplitude-field imaging method that maps stress distributions using variations in the amplitude of THz pulses. Second, two analytical algorithms were established: a planar stress analysis algorithm based on THz… More >

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    PROCEEDINGS

    AI-Assisted Generative Inverse Design of Heterogeneous Meta-Biomaterials Based on TPMS for Biomimetic Tissue Engineering

    Xiaolong Zhu, Feng Chen, Yuntian Chen, Wei Zhu, Xiaoxiao Han*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012584
    Abstract Human tissues and organs exhibit not only intricate anatomical architectures but also spatially heterogeneous distributions of elastic modulus—for example, between cancellous and cortical bone, across the epidermis, dermis, and subcutaneous layers, and between healthy and fibrotic liver tissues. Conventional biomaterials often fail to replicate such mechanical heterogeneity, thereby limiting their capacity to recreate biomimetic physiological microenvironments essential for applications like tissue regeneration and disease modeling. Meta-biomaterials, artificially engineered through the rational structural design of continuous materials, have emerged as a promising class of materials owing to their highly tunable mechanical and biological properties. These attributes… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Uncovering the Mechanisms by Which Hot Isostatic Pressing Improves the Mechanical Properties of LPBF Ti-6Al-4V

    ZiQi Zhao, MingYang Xu, ChaoYang Sun, PeiPei Li*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012382
    Abstract Hot isostatic pressing (HIP) is often utilized to obtain laser powder bed fused (LPBF) Ti-6Al-4V with good mechanical properties. To uncover the underlying mechanisms by which HIP improves the mechanical properties, several mechanisms are considered and examined against experimental data sets available in the literature. The results suggest that HIP improves mechanical properties by both reducing defect sizes below a critical threshold and altering the microstructure surrounding defects. Based on these findings, a pore healing model was developed, and optimized HIP processing parameter range (temperature, pressure, and soaking time) were proposed. Severe plastic deformation driven… More >

  • Open AccessOpen Access

    PROCEEDINGS

    3D Printing of Complex Micro-Macrostructure Composites with Enhanced Mechanical Properties

    Lizhi Guan1,2,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012356
    Abstract Complex hierarchical structure in nature with remarkable performances of such as lightweight, high stiffness and strength, and so on, has inspired researchers designing and fabricating aligned structures for reinforced composites. Conventional techniques like freeze-casting, self-assembly, wet-spinning, shear force, electric, and magnetic field have been demonstrated to achieve excellent reinforced structures. Still, they are limited to microstructure control and small-sized samples. While 3D printing techniques enable to achieve a large diversity of dimensions, multimaterial and multifunctional 3D structures. Particularly, recent 3D printing combined with external force e.g., shear force, magnetic and electrical field has been employed… More >

  • Open AccessOpen Access

    PROCEEDINGS

    SEM-FEM Co-Simulation via Substructure Coordination for Train-Track-Tunnel-Soil System Dynamics

    Liu Pan, Lei Xu*, Bin Yan
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012221
    Abstract To address the issue of computational inefficiency arising from the large dimensionality of dynamic matrices in the train-track-tunnel-soil (TTTS) dynamic model, this study integrates the spectral element method (SEM) and finite element method (FEM) to develop a highly efficient dynamic model for the TTTS system. The model leverages the distinct vibration characteristics of the near- and far- field regions of TTTS system, employing different modelling approaches: the FEM, known for its superior shape adaptability and precise high-frequency dynamic response computation, is applied to the tunnel and near-field soil; the SEM, recognized for its rapid convergence… More >

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    PROCEEDINGS

    Intelligent Structural Strength Monitoring Method Using Dynamic Evolving Digital Twin Model

    Chenjun Ni, Kuo Tian*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012069
    Abstract The development of large-scale, high-precision aerospace structures has imposed increasingly stringent requirements on mechanical response monitoring during ground testing. Aiming at the long-standing limitations of mechanical response monitoring for ground tests in terms of accuracy and real-time performance, this study introduces an intelligent structural strength monitoring method using a dynamically evolving digital twin model.
    First, a reduced-order modeling method that accounts for actual test deviations is established. By jointly sampling deviation and loading information as variables, a reduced-order model with full-field mechanical responses as output is constructed, enabling rapid updates to reflect the real test conditions.… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Shape-Memory Elastomers for Soft Actuators: Challenges and Opportunities

    Jin Wang*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011894
    Abstract Shape-memory elastomers (SMEs) have emerged as promising smart-materials platforms for soft actuators and intelligent structures due to their programmable thermally-induced reversible shape transformations. However, four critical scientific and technological challenges impede their practical engineering implementation. First, the thermodynamic and molecular mechanisms governing their thermomechanical behavior remain incompletely elucidated. Second, achieving large reversible deformations requires retention of molecular orientation during thermal actuation cycles- a persistent challenge given their large strain recovery at the heating temperature. Third, while biological muscles achieve sub-second actuation, current SME systems exhibit response times spanning several seconds, necessitating at least one order More >

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    PROCEEDINGS

    A Deep-Learning Based Model with Intra- and Inter-Well Constraints for Intelligent Identification of Stratigraphic Layers

    Jinghua Yang1, Bin Gong1,2,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-2, 2025, DOI: 10.32604/icces.2025.011889
    Abstract Geological stratification interpretation divides geological strata based on acquired well-logging data, providing comparative analysis results for strata and structures. This process serves as a fundamental framework for subsequent drilling and development design plans, making it a crucial step in oil exploration and development process. Traditional geological stratification interpretation methods are based primarily on geological, logging, and experimental data, with manual determination of strata boundaries to obtain interpretation results. However, manual interpretation is characterized by strong subjectivity and reliance on experience, which may compromise the quality and consistency of the results. To eliminate the dependency on… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Grayscale Digital Light Processing of Graded Porous Materials for Bone Regeneration

    Guanghai Fei*, Yue Zhang
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011869
    Abstract The regeneration of large-segment bone defects remains a significant challenge in orthopedics. Synthetic bone implants offer a promising solution; however, existing implants struggle to accurately replicate the heterogeneity and graded porosity of natural bone tissue while also failing to meet patients' individualized needs. Leveraging stereolithography-based 3D printing, we developed a halftoning grayscale 3D printing strategy for the precise fabrication of bone scaffolds with complex structures and graded porosity, closely mimicking natural bone tissue. This research focuses on optimizing both the 3D printing process and the performance of graded porous biomimetic bone scaffolds. More >

  • Open AccessOpen Access

    PROCEEDINGS

    Transmission Characteristics in Solid-Liquid Phase changing Metamaterials

    Junyi Xiang1,2,3, Yijun Chai1,2,3,*, Xiongwei Yang1,2,3, Yueming Li1,2,3
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011738
    Abstract Acoustic metamaterials have garnered significant attention in recent years due to their potential to manipulate sound waves and the ability to dynamically adjust the bandgap of such materials is particularly crucial.
    This work investigates the influence mechanisms of solid-liquid phase change processes on the performance of metamaterials, which is a significant research focus in the field of acoustic metamaterials. The primary objective is to explore the mechanisms governing the controllable shifting of bandgaps through phase change processes. By utilizing solid-liquid phase change materials as scattering bodies, numerical methods were employed to calculate the band structure and… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Developing a New Computational Fluid Dynamics Model for Friction Stir Welding of Al/Mg Alloys by Explicitly Including Intermetallic Compound Phase

    Chengle Yang, Qingyu Shi, Gaoqiang Chen*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011530
    Abstract The dissimilar friction stir welding (FSW) of aluminum (Al) and magnesium (Mg) alloys occurs at relatively low temperatures, but how the plastic flow happens under these conditions remains unclear. In this study, a computational fluid dynamics (CFD) model was developed to investigate the thermo-mechanical-flow coupled material behavior during the dissimilar friction stir welding of AA6061-T6 Al alloy and AZ31B Mg alloy. The present work established a generation model and a constitutive model for intermetallic compound (IMC) in welding process. An iso-stress mixing model was utilized to determine the viscosity of the Al-Mg-IMC mixture by volume… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Resolving Self-Stress Artifacts in Twin Boundary Migration: A Stress Correction Scheme for the CPFE-PF Model of HCP Alloys

    Linfeng Jiang1,*, Guisen Liu1, Yao Shen1, Jian Wang2
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011397
    Abstract The plastic deformation of Mg/Ti alloys arises from the synergistic interplay of dislocation slip and deformation twinning. To model these mechanisms, we previously developed a mesoscale CPFE-PF framework that couples crystal plasticity finite element (CPFE) and phase field (PF) methods, enabling predictions of microstructure evolution and mechanical behavior under complex loading. A central challenge, however, lies in accurately capturing deformation twinning—a process critical for accommodating shear and reorienting crystal domains in low-symmetry metals. Twin propagation and thickening occur via twinning dislocations/disconnections at the atomic scale, while at larger scales they are governed by the migration… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Internal Connection Between the Microstructures and the Mechanical Properties in Additive Manufacturing

    Yifei Wang, Zhao Zhang*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011121
    Abstract Additive manufacturing (AM) reveals high anisotropy in mechanical properties due to the thermal accumulation induced microstructures. How to reveal the internal connection between the microstructures and the mechanical properties in additive manufacturing is a challenge. There are many methods to predict the mechanical properties based on the microstructural evolutions in additive manufacturing [1–3]. Here we summarized the main methods for the prediction of the mechanical properties in additive manufacturing, including crystal plasticity finite element method (CPFEM), dislocation dynamics (DD), and molecular dynamics (MD). We systematically examine these primary approaches for mechanical property predictions in AM,… More >

  • Open AccessOpen Access

    PROCEEDINGS

    The Phase Field Method for the Simulation of Grain Structures in Additive Manufacturing

    Xiang Gao, Zhao Zhang*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011092
    Abstract Microstructures is the key factor determining the properties of the additively manufactured components [1]. It can be highly affected by the temperatures generated during the additive manufacturing process. Phase field method, as established based on Ginzburg-Landau theory is an efficient tool to simulate the microstructural evolutions in additive manufacturing [2]. It can be used to simulate solidification, diffusion, phase transformation and grain growth [3]. Here we compared the new progress on the phase field method in the field of additive manufacturing. Due to the differences between the temperature field and the grain field, how to… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Experimental Study on the Lubrication Enhancement of Slider-on-Disc Contact by Stearic Acid Adsorption under Limited Lubricant Supply

    Yusheng Jian, Xiujiang Shi*, Xiaoxiao Li, Zehong Cai, Bailing Guan, Xiqun Lu
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011085
    Abstract The optimization of the lubricant supply quantity contributes to minimizing energy losses and wastage. Stearic acid is commonly used for boundary lubrication as an organic friction modifier. To enhance the performance of hydrodynamic bearings running with limited lubricant supply (LLS), under conditions of limited oil supply, the effect of stearic acid oiliness additive was studied on the relationship between oil film thickness of PAO10 (polyα-olefin) and inclination angle of the slider with an optical test rig for measuring the film lubrication in the slider-on-disc contact. The results showed that the film thickness presented an overall… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Quantitative Assessment of Irreversible Deformation and Fatigue Damage Based on DIC

    Chenghuan Liu, Xiangbo Hu, Xiaogang Wang*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010910
    Abstract Digital image correlation (DIC) is an emerging non-contact optical measurement method that tracks speckle patterns on the specimen surface to obtain the deformation, providing an advanced methodology for the quantitative evaluation of full-field strain. The present work focuses on the quantitative assessment of deformation from micro to macro scales based on the DIC method and examines damage evolution in metal materials under static and cyclic loading conditions. First, an SEM-based DIC method allowing high-resolution strain measurement at subgrain scales is developed for investigating strain partitioning in dual-phase steel. The results reveal that the strain distribution… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Strengthening Mechanism and Deformation Behavior of Multi-Principal Element Alloys Using Multiscale Modelling and Simulation

    Weizheng Lu, Shuo Wang, Yang Chen, Jia Li*, Qihong Fang*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010711
    Abstract The multi-principal elemental alloys (MPEAs) exhibit excellent combinations of mechanical properties and radiation-resistant, are considered potential candidates for aerospace industries and advanced reactors. However, the quantitative contribution of microstructure on the strengthening mechanism remains challenging at the micro-scale, which greatly limits the long-term application. To address this, we developed a hierarchical multiscale simulation framework that covers potential physical mechanisms to explore the hardening effects of chemical short-range order (CSRO) and irradiation defects in MPEA. Firstly, by combining atomic simulation, discrete dislocation dynamics, and crystal plasticity finite element method, a hierarchical cross-scale model covering heterostructure lattice… More >

  • Open AccessOpen Access

    PROCEEDINGS

    Continuous CFRP Composites for Multifunctional Acoustic and Mechanical Metamaterials

    Zhenyu Li1, Hongze Li2, Jinshui Yang2, Hong Hu1,*
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010548
    Abstract The urgent need to achieve "carbon neutrality" drives the development of innovative porous structures that integrate both acoustic and mechanical properties, aimed at reducing energy consumption. However, enhancing these functionalities often results in increased structural weight, which can restrict their application in scenarios where weight is a critical factor. In response to this challenge, we present a groundbreaking structural design that combines carbon fiber reinforced polymer (CFRP) composites with mechanical and acoustic metamaterials for the first time. This novel construction is characterized by its lightweight nature while delivering exceptional mechanical strength and acoustic performance.
    The experimental… More >

  • Open AccessOpen Access

    PROCEEDINGS

    CO2 Migration Monitoring and Leakage Risk Assessment in Deep Saline Aquifers for Geological Sequestration

    Mingyu Cai1,2, Xingchun Li1,2, Kunfeng Zhang1,2,*, Shugang Yang1,2, Shuangxing Liu1,2, Ming Xue1,2
    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-2, 2025, DOI:10.32604/icces.2025.010490
    Abstract Deep saline aquifers account for more than 90% of the global theoretical geological CO2 sequestration capacity, making them the dominant choice for large-scale CO2 storage. These aquifers offer vast storage potential, especially in comparison to oil and gas reservoirs, which are often considered for CO2 geological sequestration. Despite their significant storage capacity, deep saline aquifers face several challenges that hinder their practical application. In particular, the lack of adequate geological infrastructure and exploration conditions for deep saline aquifers presents major obstacles to the effective monitoring of CO2 migration and predicting leakage risks. These challenges are compounded by… More >

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