Jichao Zhao^1,2, Xu Yan^1,2, Jing Sun^1,2,*, Sheng Li³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.2, pp. 279-292, 2025, DOI:10.32604/fdmp.2025.060998 - 06 March 2025

Abstract Shale gas reservoirs typically contain numerous nanoscale pores, with pore size playing a significant role in influencing the gas behavior. To better understand the related mechanisms, this study employs the Gauge-GEMC molecular simulation method to systematically analyze the effects of various pore sizes (5, 10, 20, and 40 nm) on the phase behavior and dew point pressure of the shale gas reservoir components. The simulation results reveal that when pore sizes are smaller than 40 nm, the dew point pressure increases significantly as the pore size decreases. For instance, the dew point pressure in 5… More > Graphic Abstract

Yao Jin^1,2,*, Jie Zhao^1,2, Xiaozhe Tan^1,2, Linghou Miao^1,2, Wenxing Yu^1,2

Digital Engineering and Digital Twin, Vol.2, pp. 131-144, 2024, DOI:10.32604/dedt.2024.048142 - 31 December 2024

Abstract Substation siting is an important foundation and a key task in power system planning. The article is based on a three-dimensional GIS platform combined with an improved BP neural network algorithm and proposes a substation siting method that is more efficient, accurate and provides a better user experience. Firstly, the BP algorithm is enhanced to improve its convergence speed and computational efficiency for a more accurate and reasonable calculation of optimal site selection. Then, a 24-item selection index system with 7 categories is proposed, which provides quantifiable data support and an evaluation basis for substation… More >

Dongdong Gu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013403

Abstract In this presentation, we will report our recent research progress and prospect in the fields of laser additive manufacturing (AM) / 3D printing (3DP) of high-performance/multi-functional lightweight metallic components for aerospace applications. The innovative elements of AM including multi-material layout, innovative structural design, tailored printing process, and resultant high performance and multiple functions of components will be addressed. For a tailored printing process, some key scientific issues in AM process control deserve to be studied, including interaction of energy and printed matter, thermodynamic and dynamic behavior of printing, relationship of process parameters, microstructure and properties. More >

Zhancai Zhan¹, Penghang Ling¹, Wugui Jiang^1,*, Tao Chen¹, Qinghua Qin^2,3, Longhui Mao¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011400

Abstract In the intricate and multi-physical process of Laser Powder Bed Fusion (LPBF), the microstructure significantly influences the performance of the resulting components, particularly evident in the manufacturing of thin-walled structures. In this paper, a prediction model of microstructure evolution coupled with 3D cellular automaton (CA) and finite element (FE) method for thin-walled components of GH4169 fabricated by LPBF is established. In this model, the multi-layer and multi-track temperature field within the interest region of thin-walled parts is simulated by the FE method. Subsequently, the temperature history is transferred to the CA model for predicting the… More >

Yunfei Li¹, Dongjiang Wu¹, Fangyong Niu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012365

Abstract The plastic deformation assisted method plays a positive role in regulating the microstructure and mechanical properties of metal components in additive manufacturing. In this work, the effect of hammer forging force on the microstructure and mechanical properties of 316L stainless steel additive components were investigated by using synchronous-hammer-forging-assisted laser directed energy deposition method. The results show that when the hammer forging force is greater than 40 N, the grain refinement effect is obvious, the grain size decreases by more than 60 %, and the maximum strength of the polar diagram decreases by more than 75 More >

Chongdong Lin^1,2,3,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011631

Abstract In many real-world scenarios, such as high-speed combustion processes and re-entry flows in aerospace vehicles, the flow conditions often involve complex interactions between multiple chemical species and energy modes, leading to thermodynamic nonequilibrium effects. Traditional computational fluid dynamics (CFD) methods struggle to accurately capture these phenomena due to their simplifying assumptions regarding equilibrium thermodynamics. To solve this issue, the Multicomponent Discrete Boltzmann Method (MDBM) is proposed as a numerical approach to simulate compressible reactive flows with thermodynamic nonequilibrium effects. Based on kinetic theory, this method can capture the complex interactions between different species and energy… More >

Yang Chen¹, Jing Peng¹, Shuo Wang¹, Chao Jiang¹, Jia Li^1,*, Qihong Fang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.012299

Abstract Nuclear energy demands radiation-resistant metal materials. Multi-principal element alloys (MPEAs) show superior radiation resistance over traditional alloys due to lattice distortion, promising for advanced reactors. However, damage evolution and mechanical performance of irradiated MPEAs under loading are unclear, limiting long-term application. We investigated hardening behavior induced by irradiation defects like dislocation loops and voids in MPEAs using crystal plasticity models and experiments. Here, we developed i) a stochastic field theory-based discrete dislocation dynamics simulation. A novel cross-slip mechanism in irradiated crystals was unveiled through co-linear reactions between dislocations and diamond perfect loops [1]; ii) With… More >

Yanxue Ma¹, Xiaoling Liu^1,*, Bing Wang², Ying Liu¹

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 871-889, 2024, DOI:10.32604/sdhm.2024.052683 - 20 September 2024

Abstract In the bridge technical condition assessment standards, the evaluation of bridge conditions primarily relies on the defects identified through manual inspections, which are determined using the comprehensive hierarchical analysis method. However, the relationship between the defects and the technical condition of the bridges warrants further exploration. To address this situation, this paper proposes a machine learning-based intelligent diagnosis model for the technical condition of highway bridges. Firstly, collect the inspection records of highway bridges in a certain region of China, then standardize the severity of diverse defects in accordance with relevant specifications. Secondly, in order… More >

Guangbing Xiao^*, Ruijie Gu, Ning Sun, Yong Zhang

Computer Systems Science and Engineering, Vol.48, No.5, pp. 1329-1348, 2024, DOI:10.32604/csse.2024.050817 - 13 September 2024

Abstract In response to the challenges posed by insufficient real-time performance and suboptimal matching accuracy of traditional feature matching algorithms within automotive panoramic surround view systems, this paper has proposed a high-performance dimension reduction parallel matching algorithm that integrates Principal Component Analysis (PCA) and Dual-Heap Filtering (DHF). The algorithm employs PCA to map the feature points into the lower-dimensional space and employs the square of Euclidean distance for feature matching, which significantly reduces computational complexity. To ensure the accuracy of feature matching, the algorithm utilizes Dual-Heap Filtering to filter and refine matched point pairs. To further More >

Ankitkumar Patel¹, Srivathsan Vasudevan^1,*, Satya Bulusu^2,*

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3803-3818, 2024, DOI:10.32604/cmc.2024.052851 - 12 September 2024

Abstract Molecular Dynamics (MD) simulation for computing Interatomic Potential (IAP) is a very important High-Performance Computing (HPC) application. MD simulation on particles of experimental relevance takes huge computation time, despite using an expensive high-end server. Heterogeneous computing, a combination of the Field Programmable Gate Array (FPGA) and a computer, is proposed as a solution to compute MD simulation efficiently. In such heterogeneous computation, communication between FPGA and Computer is necessary. One such MD simulation, explained in the paper, is the (Artificial Neural Network) ANN-based IAP computation of gold (Au₁₄₇ & Au₃₀₉) nanoparticles. MD simulation calculates the forces… More >