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Anyu Xu¹, Yonghang Sun², Heow Pueh Lee^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.010894
Abstract A pentagon plate-shaped metamaterial with resonators inside is designed, and both sides are covered with PVC membranes. The components are designed with sloped exterior walls and can form a regular dodecahedron metacage. The effect of the single component is based on the vibration of the membranes, when the size of two membranes has the same size, the transmission loss appears to be significant around 900 Hz and have another peak around 1400 Hz. When use twelve components to form a regular dodecahedron metacage, with a diameter of less than half a meter, a measurement of… More >

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Yonghang Sun^1,2, Anyu Xu², Heow Pueh Lee², Hui Zheng^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.010895
Abstract Metamaterials with inertial amplification components exhibit unique bandgap behaviors which can be utilized on the vibration suppression of mechanical structures. In this study, novel cantilever-type inertial amplification mechanisms are periodically attached to the stiffened composite plate to realize the low-frequency bandgaps and vibration suppression. This type of metamaterial mitigates the vibration by amplifying the inertia of the added small mass, which has great application potential in many industrial scenes. For the sake of the efficient calculations, a semi-analytical method based on the energy generalized variational principle is promoted, which can predict the bandgap behaviors and… More >

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Dingjie Lu¹, Zhao Wang¹, Jun Liu¹, Yangfan Li¹, Wei-Bin Ewe¹, Liu Zhuangjian^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.010961
Abstract This study heralds a new era in computational mechanics through the integration of Quantum Computing with the Finite Element Method (FEM), representing a quantum leap forward in addressing complex engineering simulations. Our approach utilizes Variational Quantum Algorithms (VQAs) to tackle challenges that have been traditionally well-solved on classical computers yet pose significant obstacles in the quantum computing domain. This innovation not only surmounts these challenges but also extends the applicability of quantum computing to real-world engineering problems, moving beyond mere conceptual demonstrations of quantum computing in numerical methods. The development of a novel strategy for… More >

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Hongyu Zhou¹, Hortense Le Ferrand^1,2,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.010990
Abstract 4D printing enables 3D-printed structures to morph upon being exposed to external stimuli. Amongst all engineering materials, polymers show high 3D printability as well as tunability regarding to its morphing behaviour and functionalities. Generally, composites with epoxy as matrix shows high modulus and strength, whereas its mechanically brittle property makes it difficult to be morphed and snapped-through at room temperature, thereby limiting its 4D printability and its functionality. On the other, Polydimethylsiloxane (PDMS), as an elastomer, shows its high elasticity and stretchability, yet its printability and mechanical properties of its printed composites still need improving… More >

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Yuanhang Yang¹, Changjin Huang^2,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.010991
Abstract Achieving programmable and reversible deformations of soft materials is a long-standing goal for various applications in soft robotics, flexible electronics and many other fields. Swelling-induced shape-morphing has been intensively studied as one of the potential mechanisms. However, achieving an extremely large swelling ratio (>1000% in volume) remains challenging with existing swellable soft materials (e.g., hydrogels and water-swellable rubbers). Inspired by the shape change enabled by the osmosis-driven swelling in living organisms, herein, we report a polymer composite system composed of fine sodium chloride (NaCl) particles embedded in Ecoflex00-10 polymer. This Ecoflex00-10/NaCl polymer composite can achieve… More >

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Junfei Tai¹, Zheng Fan^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011059
Abstract The non-destructive characterization of material microstructures presents a significant and enduring challenge in the field. The sensitivity of elastic waves to the nuances of microstructural parameters positions ultrasound as a viable and potent method for non-destructive evaluation. However, enhancing the interaction between elastic waves and the internal microstructure typically involves utilizing wavelengths larger than the microstructural features, thereby rendering ultrasonic scattering as the predominant mechanism. This interaction is complicated by the fact that fundamental microstructural characteristics, such as grain size, morphology, and texture intensity, exert considerable and intertwined effects on ultrasonic scattering, complicating their separate… More >

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Xinwei Li^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011083
Abstract The emergence of 3D printing opens new possibilities for the development of advanced and innovative metamaterials, particularly in the realm of microlattices. Microlattices are characterized as periodic cellular solids with submillimeter-sized features, such as struts, shells, or plates, arranged spatially in a three-dimensional way. Herein, based on four published studies, we provide a perspective on the design, employing analytical and numerical methods, as well as the performance of 3D-printed microlattices for sound absorption.
The first study focuses on face-centered cubic-based plate and truss structures [1]. Impedance tube measurements reveal that all the microlattices display absorption curves… More >

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Jinhua Lu^1,*, Song Zhao¹, Pierre Boivin¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011180
Abstract The hybrid lattice Boltzmann model [1] for compressible flows uses the lattice Boltzmann method (LBM) to simulate the flow field and the finite volume scheme for the energy field. It inherits the good numerical stability and low dissipation [2] of LBM and avoids the complexity of solving all governing equations within the LBM framework. However, it still faces three issues. First, for compressible flows, the equilibrium distribution functions must exactly recover third-order moments, but it cannot be achieved for the simple DmQn (m dimensions and n discrete phase velocities) models involving only neighboring nodes [3],… More >

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Yi-Chun Cheng¹, Mu-En Wu¹, Ju-Fang Yen², Sheng-Chi Luo¹, Jimmy Ming-Tai Wu^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011239
Abstract Quantitative trading is a strategy that relies on mathematical and statistical models to identify market trading opportunities. Trading strategies can be categorized into trend following and contrarian trading. Way of the Turtle is one of the famous trend following strategies. This study proposes a customized trend following trading mechanism based on Way of the Turtle. The focus of the strategy is to capture major trends over a few significant market moves, so it can be seen that the importance of the entry signals to the trend-following strategy. Therefore, this study applies Long Short-Term Memory (LSTM)… More >

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Dong-Wook Lee^1,*, Heungjo An², Tae Yeon Kim³, Sungmun Lee⁴, Jide Oyebanji¹, Prabakaran Balasubramanian¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011286
Abstract This work analyzes the problems of material elastic constants identification and residual stresses determination in an orthotropic materials using hole drilling method. These problems are very important to understand mechanical performance of materials. A lot of optical method such as Moiré, laser speckle interferometry, digital image correlation or photoelasticity is developed to estimate displacement (or strain) fields or applied loads (or stresses) from images. These methods require a very complicated techniques, skill, and efforts to analysis images. But deep learning method based on a convolution neural network shows better performance in image analysis problems such… More >

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Choon-Peng Chng¹, Changjin Huang^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011464
Abstract Biological membranes play crucial roles in cellular functions, serving as dynamic interfaces that regulate the passage of molecules and signals between the cell and its environment. Understanding how these membranes respond to environmental stimuli is paramount in elucidating cellular adaptation and survival mechanisms. In this talk, we will present our recent studies on the structural and mechanical changes of biological membranes in response to two different environmental factors, including the presence of reactive oxygen species (ROS) and dehydration. Through systematic molecular dynamics simulations, we have revealed a dynamic interplay between membrane components, membrane mechanics and… More >

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Xiayun Zhao^1,*, Haolin Zhang¹, Md Jahangir Alam¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011479
Abstract Laser powder bed fusion (LPBF) is one predominant additive manufacturing (AM) technology for producing metallic parts with sophisticated designs that can find numerous applications in critical industries such as aerospace. To achieve precise, resilient, and intelligent LPBF, a comprehensive understanding of the dynamic processes and material responses within the actual conditions of LPBF-based AM is essential. However, obtaining such insights is challenging due to the intricate interactions among the laser, powder, part layers, and gas flow, among other factors. Multimodal in-situ monitoring is desired to visualize diverse process signatures, allowing for the direct and thorough… More >

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Xiayun Zhao^1,*, Yue Zhang¹, Heyang Zhang¹, Yousra Bensouda¹, Md Jahangir Alam¹, Haolin Zhang¹, Yiquan Wang¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011485
Abstract Vat photopolymerization (VPP) among other additive manufacturing (AM) processes have a great potential to rapidly print complex 3D components out of a matrix of photo-curable resin. Current VPP processes utilize single-wavelength light exposure, imposing limitations on print speed and throughput, especially in multi-material AM. This is attributed to delays in material switch-over mechanisms. Additionally, the resolution of conventional single-wavelength VPP is constrained by over-curing. Despite ongoing efforts and progress in VPP, there remains a need for effective approaches to address these persistent issues. In this work, we report our development of two-wavelength digital light processing-based… More >

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Hexin Yue¹, Cian Vyas^1,2,*, Paulo Bartolo^1,2,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011598
Abstract Peripheral nerve injury can result in significant motor or sensory impairment. Traditional treatments have certain drawbacks and often result in suboptimal clinical results. To overcome these limitations, tissue engineering and bioprinting technologies are promising approaches for manufacturing nerve guidance conduits (NGCs). NGCs are tubular biostructures that bridge the nerve injury site, provide an appropriate microenvironment, and promote peripheral nerve regeneration by guiding axonal growth. The architecture of NGCs needs to mimic the morphology of natural peripheral nerves by designing their topology to regulate nerve cell behaviours. Topographic guidance cues are an effective element in improving… More >

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Yasunori Okano^1,*, Tsuyoshi Miyamoto¹, Sadik Dost²
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011685
Abstract We have developed a machine learning model, called Hybrid-PINNs (Physics Informed Neural Networks), and applied for fast predictions of transport structures (flow and thermal fields) in the silicon (Si) melt during the Czochralski (Cz) bulk single crystal growth. Si bulk single crystals are mostly grown by the Cz method. For the growth of high-quality Si crystals with this method, it is essential to understand and control these transport structures in the melt. Since the direct observation of such transport fields in the melt during growth is usually impossible, numerical simulations provide a powerful tool for… More >

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Yuan Xu^1,*, Govind Gour², Manuela Galati³, Abdollah Saboori³, Antonio Pellegrino⁴
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013220
Abstract The dynamic behaviour of Ti-6Al-2Sn-4Zr-2Mo additively manufactured by electron beam melting (EBM) is presented in this study considering synchronised tension-torsion loading. A bespoke spilt Hopkinson Tension-Torsion bar is used to generate combined tensile and torsional stress pulses that interact simultaneously with a novel specimen geometry. High-speed digital imaging correlation techniques are employed to assess the high-rate deformation and crack propagation of the specimen. The material's dynamic response was analysed across a spectrum of stress states, including uniaxial tension, shear, and combinations of tension and shear at strain rates ranging between 500 s^-1 and 2000 s^-1. Comparable More >

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Kiyoaki T. Suzuki^1,*, Sylvain Dancette², Shun Tokita³, Yutaka S. Sato⁴
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012072
Abstract Dissimilar welding of aluminum (Al) alloy to steel has been a long-running scientific and technological problem mainly for the automotive industry. It would allow to achieve new designs of optimized vehicle structures combining strength, lightweight and energy absorption ability. However, the weld strength is limited because of a brittle intermetallic layer (IML) formed at the weld interface. In our previous study, we demonstrated a significant improvement in weld strength by the addition of Ni to aluminum alloy. However, the effect of Ni addition on the fracture properties of IML remains unexplored. Moreover, additional Ni should… More >

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Valentina Salomoni^1,*, Gianluca Mazzucco¹, Giovanna Xotta¹, Riccardo Fincato¹, Beatrice Pomaro¹, Nico De Marchi¹, Jiangkun Zhang¹, Caterina Biscaro¹, Alberto Antonini¹
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.012130
Abstract Building materials such as concrete cement or concrete asphalt are highly heterogeneous composite materials that are often addressed as homogeneous media when a sufficiently large Representative Elementary Volume (REV) definition of the compound is accepted. Adopting a homogenous approach in the material behaviour modeling typically fails to elucidate the interaction between the various material phases. Recently, a meso-scale approach has emerged, enabling the study of composite/conglomerate materials within the REV volume, thereby making the principal material components explicit. At this scale, local interactions between inclusions and matrix are captured, revealing the presence of complex triaxial… More >

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Huakang Bian^1,3,*, Yufan Zhao^2,3, Akihiko Chiba³
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012491
Abstract Refining the Si phase in Al‒Si alloy has been a research interest for decades. Previous studies suggested many Al- and Si-enriched nano-segments (approximately 100 nm) can coexist in a melted Al–Si liquid solution when they were reheated to a temperature between 1080 and 1290 °C. These nano-segments could be retained to become crystal nuclei and grew into fine grains under a very fast cooling rate. Thus, this provides a novel approach of refining the microstructure of Al–Si alloy using electron beam melting (EBM) technology because the temperature exceeds 1500 °C in the melting pool with… More >

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Shih-Chun Liao¹, I-Ling Chang^1,*
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012885
Abstract In this work, a new deep learning (DL) approach for the bandgap optimization of 1-D phononic crystal will be reported. The unit cell of the phononic crystal is composed of 4 layers with 3 materials, i.e., concrete, soil and rubber. A deep learning model is trained to replace the computationally demanding traditional solvers for the bandgap calculation of 1-D phononic crystals. Four variables, including material properties and layer thicknesses, will be taken into account. The predicted bandgap by the trained model is compared with that calculated by transfer matrix in order to check the accuracy More >

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