Lichao Zhang¹, Zhao Zhang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012849

Abstract Powder flow can affect the temperature variations in directed energy deposition (DED). However, the direct coupling mechanism remains unknown. To solve this problem, the heat and mass transfer in additive manufacturing was simulated using dynamic coupling. The interactions between the multiphase flow and heat transfer were established. A comparison with experiment shows that the accuracy of the predictions of the numerical simulation regarding powder size distributions and temperature increases is higher than 95%. The average temperature increase of the metal powders with different weight functions was highly consistent in the simulation process. As the powder More >

Biao Xia^1,2, Changxing Zhang^2,3,*, Zhanli Liu², Xue Feng²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.012764

Abstract Ceramics has become one of the most promising candidate materials in the aerospace field due to its advantages of high melting point, corrosion resistance, wear resistance, and high-temperature stability [1,2]. However, the inherent brittleness of ceramics makes it prone to thermal shock failure under high-temperature extreme environments, which can lead to sudden catastrophic accidents in the structure [3-6]. This paper takes the high-temperature resistant ceramic materials in the aerospace industry as the research object. And the dynamic crack propagation mechanism is analyzed. Through the computational method based on the extended finite element method (XFEM), the… More >

Zhao Zhang^1,*, Xiang Gao¹, Yifei Wang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012115

Abstract Wire arc additive manufacturing (WAAM) reveals its high efficiency for the fabrications in comparison with laser additive manufacturing. To reveal the relationship between arc settings and the microstructural evolutions, phase field model and Monte Carlo model are established for the simulation of the microstructural evolutions and dislocation dynamics model is established for the simulation of the anisotropic properties in WAAM. Numerical results are compared with Experiments to validate the proposed models. The length/width ratio of the formed grains in solidification becomes smaller when the scanning speed is decreased or the input powder is increased. The… More >

Jinxing Liu^1,*, Binying Wang¹, Changqing Peng¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011544

Abstract Unlike classical condensed matters with the characteristic microstructural size far smaller than the undergoing wavelength, lattice metamaterials call for a kind of subwavelength continuum modeling, which should be able to provide successful predictions throughout the first Brillouin zone. We classify lattices into two groups. The first category stands for the mass-spring systems composed of dump masses and massless springs, for which three attempts have been made: the strain gradient continuum based on wavelength-dependent Taylor’s expansion [1, 2], Pade approximation [3] and Symbiotic Optimal Search (SOS) [4], respectively. The results of these newly developed models agree… More >

Wenxuan Du¹, Zhongwei Mou², Xuanfu He¹, Jianping Yin¹, Yinggang Miao^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011421

Abstract High-speed friction and wear are usually occurring in the service life of advanced equipment, and their behavior even influences service safety. However, there is still technique gap in accurately obtaining the parameters during dynamic friction induced by high-speed equipment. This gap is primarily stemmed from the available dynamic friction loading techniques with poor controllability. In this work, a novel dynamic friction apparatus is designed based on split Hopkinson bar technique. The loading principle is from stress wave generated by striker bar hitting the incident bar, which forces the sandwiched friction pair to slide with a… More >

Kai Wang^1,2,3, Lihua Yang^1,2,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011018

Abstract Although offset-halves journal bearings (OHJBs) are widely used in marine powertrains, the research on nonlinear tribo-dynamics is still limited, particularly under dynamic loading. To overcome such limitations, this study proposes a novel dynamic model that couples the influences of step load and thermoelastohydrodynamic (TEHD) effect. Based on the numerical model, a transient TEHD analysis for dynamically loaded OHJBs is done. Moreover, a modified stability criterion is developed. Nonlinear behaviors and transient stability of OHJBs under step load are systematically studied. The correlations of bearing characteristics such as the maximum film temperature, minimum film thickness, maximum More >

Jian Wang^1,*, Haitao Hei¹, Yonggang Zheng¹, Hongwu Zhang¹, Hongfei Ye¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.010916

Abstract Icing is a ubiquitous phenomenon in nature and widely observed in the micro/nanoconfinement, e.g., two-dimensional ice growth on Au surface, nanoconfinement-induced phase change, nanodroplet freezing on surface, etc. These complicated and abstruse processes and behaviours demand deep understanding from the microscale level by the aid of molecular dynamics (MD) simulation [1]. However, it is still a great challenge to accurately describe the ice and liquid water simultaneously with the present water models [1,2]. In response to this, we propose a series-parallel machine learning (ML) approach consisting of classification back-propagation neural network (BPNN), parallel regression BPNNs… More >

Huiyan Liang¹, Wei Fang¹, Xiqiao Feng^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012719

Abstract Cell–extracellular matrix (ECM) interactions play a pivotal role in many functions of cells, for example, sensing, signaling, migration, and gene expression. The spatial-temporal dynamic evolution of cell–substrate adhesions involves complicated mechano-bio-chemical coupling mechanisms of integrin, adaptor and signaling proteins, and the interplay between the cytoskeleton and ECM as well. In this paper, we establish a multiscale dynamic model of cell–substrate interfaces considering intermolecular force transmission pathways, i.e., intra- and extra-cellular bond dynamics, and mechanochemical coupling regulations. To illustrate its applications, this model is used to reproduce several adhesion-related experimental phenomena of cells, including substrate rigidity… More >

Xiaodong Xiang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012861

Abstract Material genes could be understood as the relationship between composition (element, valence state, function group, etc.), structure (lattice, molecular weight, defect, etc.), thermodynamic parameters (temperature, time, pressure, etc.) and physical properties, represented as materials phase diagrams [1-3]. I will discuss 1) a recently developed an optical plasma resonance spectrum method to characterize the electrical transport properties; 2）the progress in studying dynamic phase diagrams；3）the progress using advanced neural network algorisms to predict materials key properties. More >

Shaoqi Zheng¹, Zihao Yang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012200

Abstract This study proposes a novel method for predicting the microcrack propagation in composites based on coupling the local and non-local micromechanics. The special feature of this method is that it can take full advantages of both the continuum micromechanics as a local model and peridynamic micromechanics as a non-local model to achieve composite fracture simulation with a higher level of accuracy and efficiency. Based on the energy equivalence, we first establish the equivalent continuum micromechanics model with equivalent stiffness operators through peridynamic micromechanics model. These two models are then coupled into a closed equation system, More >