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  • Open Access

    PROCEEDINGS

    Highly Efficient and Stable Catalysts Customized by Ultrafast-Laser in Porous Crystals

    Shuailong Guo*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012841

    Abstract The loading capacity, spatial arrangement, and structural stability of monatomic catalysts have significant effects on their performance. Traditional physical and chemical methods cannot precisely control the adsorption, reduction, and anchoring of metal salt ions, making it challenging to achieve accurate synthesis of metal single atoms in three-dimensional space. This project aims to use porous crystal materials as the adsorption carrier for metal salt ions and lasers as the energy source for accurate reduction. This approach facilitates the precise synthesis and customization of single atoms in multidimensional space. By designing the pore size, morphology, particle size,… More >

  • Open Access

    PROCEEDINGS

    Full-Field Deformation Measurement Systems with Advanced Region-Based Image Alignment

    Qinghua Wang*, Yi Zhu

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-2, 2025, DOI:10.32604/icces.2025.012693

    Abstract This study presents a robust and automated image registration framework designed to enhance the precision and efficiency of full-field deformation measurement in experimental mechanics applications. Traditional optical techniques, such as the sampling moiré method, rely on manual alignment processes that introduce significant errors and inefficiencies, particularly when analyzing large datasets or operating under dynamic experimental conditions. Addressing these limitations, the proposed method integrates the Maximally Stable Extremal Regions (MSER) algorithm to automate the alignment of grating images with sub-pixel accuracy. The technique is specifically tailored to handle challenges arising from high-noise environments and complex deformation… More >

  • Open Access

    PROCEEDINGS

    Enhancing Functional Stability of NiTi Tube for Elastocaloric Cooling Through Overstress Training

    Qiuhong Wang1, Hao Yin1,*, Qingping Sun1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012656

    Abstract Tubular NiTi is a promising candidate of eco-friendly solid-state refrigerant for elastocaloric cooling, but the severe functional degradation of NiTi material during cyclic phase transition (PT) is a key concern in the technology development. Here, plastic deformation of 6.7% is applied on the NiTi tube by overstress training under 1900 MPa for five cycles to improve the cyclic PT stability without losing cooling efficiency. It is found that after 106 compressive cycles under an applied stress of 1000 MPa, the overstress-trained NiTi tube exhibits small residual strain (0.5%), stable adiabatic temperatures drop (T=11K) and improved… More >

  • Open Access

    PROCEEDINGS

    Finite Element Simulation of Heat Dissipation Performance of Aluminum Electrolytic Capacitor

    Jinlin Peng1,*, Shen Li1,2, Yunya Liu3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012647

    Abstract The working temperature of aluminum electrolytic capacitor seriously affects its life and performance, especially when the core temperature is too high, its service life will be greatly reduced. At present, the detection of the center temperature of aluminum electrolytic capacitor needs to open a hole on the top of the aluminum electrolytic capacitor, place a thermocouple and run for a long time to reach a stable state, so as to obtain a more accurate core working temperature. According to the heating mechanism of aluminum electrolytic capacitor, the ripple current and surface temperature rise of aluminum… More >

  • Open Access

    PROCEEDINGS

    Crashworthiness Design of Composite Thin-Walled Structures Manufactured by Additive Manufacturing

    Kui Wang*, Qianbing Tan, Yisen Liu

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012404

    Abstract To address the increasing demands for lightweight and passive safety in transportation equipment, a series of studies on the crashworthiness design of composite thin-walled structures were conducted. These investigations leveraged the high specific strength/stiffness advantages of carbon fiber-reinforced polyamide composites and the high-formability benefits of fused deposition modeling (FDM) additive manufacturing technology. Compared with traditional composite manufacturing processes, lattice-filled thin-walled structures, integrally fabricated via additive manufacturing, exhibited significant synergistic interactions between their internal lattice and outer walls during compression. This synergy effectively enhanced the energy absorption capacity of the structures and achieved a "1+1>2" synergistic… More >

  • Open Access

    PROCEEDINGS

    Spatio-Temporal Prediction of Curing-Induced Deformation for Composite Structures Using a Hybrid CNN-LSTM and Finite Element Approach

    Xiangru He1, Ying Deng1, Zefu Li1, Jie Zhi1,2, Yonglin Chen1,2, Weidong Yang1,2,3,*, Yan Li1,2,3,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012395

    Abstract Coordinated control of structural accuracy and mechanical properties is the key to composites manufacturing and the prerequisite for aerospace applications. In particular, accurate and efficient prediction of curing-induced deformation (CID) is of vital importance for fiber reinforced polymer composites quality control. In this study, we explored a novel spatio-temporal prediction model, which incorporates the finite element method with a deep learning framework to efficiently forecast the curing-induced deformation evolution of composite structures. Herein, we developed an integrated convolutional neural network (CNN) and long short-term memory (LSTM) network approach to capture both the space-distributed and time-resolved… More >

  • Open Access

    PROCEEDINGS

    Study on Friction Behavior of Soft Material Based on Predictive Modeling and Interfacial Tribometry

    Huixin Wei, Baopeng Liao*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012367

    Abstract Friction behavior at soft-hard material interfaces plays a pivotal role in applications spanning biomedical devices, robotics, and tactile systems. While theoretical frameworks and experimental characterization methods have advanced, it is still difficult to unravel interfacial mechanisms. In this study, a theoretical model is firstly developed to predict static-to-sliding transitions by analyzing geometric evolution and stick-slip dynamics at soft material interfaces. The model quantitatively determines the threshold force for slip initiation, offering predictive insights into The sliding behavior of the interface. Second, an innovative tribometry platform is introduced, combining synchronized optical visualization, mechanical loading, and automated More >

  • Open Access

    PROCEEDINGS

    Improved Self-Locking Multi-Cell Structures with Customizable Energy Absorption

    Huijing Gao, Yisen Liu, Qianbing Tan, Kui Wang*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012320

    Abstract Assembled structures attracted increasing attention due to their ultimate flexibility, wide design space, manufacturing and transporting conveniences. In this study, a novel assembled multi-cell structure was proposed to achieve tunable energy absorption characteristics. The quasi-static compression experiments demonstrated that the crashworthiness of the assembled multi-cell structure could be effectively and rapidly tailored by varying the number and material of cells. Furthermore, to enhance the mechanical interlocking capability and energy absorption performance of existing assembled structures, three connection joints were further proposed. Tensile tests were conducted to investigate their mechanical properties, and the results revealed that… More >

  • Open Access

    PROCEEDINGS

    Mechanical Characterisation and Material Modelling of Human Aortas with Vascular Smooth Muscle Activation

    Ivan Breslavsky1,*, Giulio Franchini2, Francesco Giovanniello3, Ali Kassab3,4, Gerhard A. Holzapfel5,6, Marco Amabili1,3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012190

    Abstract Despite the critical role of vascular smooth muscle (VSM) activation in the biomechanics of human aortas, comprehensive experimental data and corresponding active material models remain limited. This study addresses this gap by presenting a detailed mechanical characterisation of human descending thoracic aortas under both passive and VSM-activated conditions.
    Specimens were obtained from thirteen heart-beating donors. Mechanical testing was conducted within hours of explantation. VSM activation was induced using potassium chloride and noradrenaline, and both isometric and quasistatic stress–strain responses were measured in circumferential and longitudinal tissue strips.
    Dynamic mechanical testing under physiologically relevant cyclic loading and More >

  • Open Access

    PROCEEDINGS

    A New Analytical Method for Strength Prediction of Injection Molded Fiber Reinforced Thermoplastics Based on Progressive Delamination Failure Principle

    Dayong Huang1,2,*, Wenjun Wang1,2, Xiaofu Tang1,2, Pengfei Zhu3, Xianqiong Zhao3,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012063

    Abstract Accurate prediction for the tensile properties (tensile modulus and strength) of injection molded fiber-reinforced thermoplastics (IMFT) plays an important role in the design of structures made with such composites. Based on the Laminate analogy approach (LAA), a unified distribution function (UDF) of tensile properties is derived by introducing the assumption that the fiber length distribution (FLD) and fiber orientation distribution (FOD) are independent of each other. The UDF of tensile properties is simplified by introducing the modified monotonic functions of fiber length and orientation factors (λL and λO). Compared with the tensile modulus and strength… More >

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