Jianfeng Zhao^1,*, Xu Zhang², Guozheng Kang², Michael Ziaser³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012582

Abstract A continuum model of dislocation transport incorporating grain boundary transmission was developed within a dislocation-based crystal plasticity framework, which was then adopted to study the deformation mechanisms of gradient-structured material and bimodal-grained material. The nonlocal nature of the model on the slip system level enables the direct investigation of strain gradient effects caused by internal deformation heterogeneities. Furthermore, the interaction between dislocations and grain boundaries leads to the formation of pileups near grain boundaries, which is key to studying the grain size effects in polycrystals. Finite element implementation of the model for polycrystals with different… More >

Ken-ichi Saitoh^1,*, Makoto Watanabe²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012624

Abstract Natural nanofibers, e.g., cellulose nanofiber (CNF) of plant, collagen fibril in human body and fibroin fiber in spider silk, show interesting and distinctive atomistic mechanisms in deformation under mechanical loading as well as exhibition of extraordinary strength. These fibers are comprising more larger bulk and wire materials by constructing structural hierarchy. However, the initiation of unique behavior of these materials largely originates from atomic-scale and chemical energetics in loading. Besides, the experimental approach is often difficult and is too limited to reveal the basic mechanism. Therefore, it is crucial to clarify atomic behavior of these… More >

Wenshu Zhuang^1,#, Guangyang Jin^1,#, Yiting Zou¹, Zhong Bian¹, Dong Xie¹, Shuwei Zhang¹, Hadi Yeilaghi¹, Liangliang Yu³, Muiyun Wong⁴, Xiaolei Fan^1,2, Dongsheng Zhao^1,2, Qiaoquan Liu^1,2, Lin Zhang^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2737-2754, 2024, DOI:10.32604/phyton.2024.054649 - 30 November 2024

Abstract Panicle size is one of the important factors in shaping yield potential in rice, but it shows plasticity in different environments, which leads to yield fluctuation. Variations in panicle size among varieties are largely determined by quantitative trait loci (QTLs). QTL analysis could elaborate on the environmental impact on trait plasticity using nearly isogenic lines (NILs) of different QTLs. Two QTLs, ipa1-2D and qPL6 are identified to have pleiotropic contributions to panicle size and plant architecture, but their responses to different growth conditions are still unclear. In this study, we developed NILs harboring a single locus… More >

Qianyu Xia¹, Zhixin Zhan^1,*, Weiping Hu¹, Qingchun Meng¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011238

Abstract The occurrence of crystal cleavage and slip at the microscopic level in single crystal materials serves as the fundamental underlying factors leading to their macroscopic failures. Therefore, investigating the failure mechanisms and damage processes at the scale of slip systems significantly enhances our comprehension of the degradation and failure patterns exhibited by crystal materials.
In this study, based on the theory of crystal plasticity, we examine the effects of microscopic damage on the slip systems concerning the failure of face-centered cubic (FCC) crystal materials. Additionally, we develop a novel damage model for FCC crystal materials, incorporating… More >

Jingting Mei, Yang Yang^*, Zhipeng Gao, Lanlan Rui, Yijing Lin

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4883-4904, 2024, DOI:10.32604/cmc.2024.051860 - 20 June 2024

Abstract Network fault diagnosis methods play a vital role in maintaining network service quality and enhancing user experience as an integral component of intelligent network management. Considering the unique characteristics of edge networks, such as limited resources, complex network faults, and the need for high real-time performance, enhancing and optimizing existing network fault diagnosis methods is necessary. Therefore, this paper proposes the lightweight edge-side fault diagnosis approach based on a spiking neural network (LSNN). Firstly, we use the Izhikevich neurons model to replace the Leaky Integrate and Fire (LIF) neurons model in the LSNN model. Izhikevich… More >

Peidong Wu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010491

Abstract The material anisotropy of an aluminum sheet alloy is determined by performing tensile tests at different angles with respect to the rolling direction (RD). To study the effect of pre-straining on the evolution of material anisotropy, a very wide sheet is stretched to different strains in the transverse direction (TD). The material in the central region is very close to a state of in-plane plane strain tension. Small tensile samples are cut from the central region of the pre-strained wide sample. Tensile tests are then performed on these small tensile samples. By comparing the differences More >

Haiming Zhang^1,2,*, Shilin Zhao^1,2, Zhenshan Cui^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.08884

Abstract Particle-reinforced aluminum matrix composites (PRAMCs) have great potential for application in aerospace, automobile, defense, and electronics due to their high specific strength and stiffness and good resistance to wear and corrosion. Achieving a superior trade-off between the strength and ductility of PRAMCs necessitates an elaborative control of the microstructures, like the size and distribution of particles, as well as grain size, morphology, and texture of the matrix. The multiscale interaction between the particles and the matrix’s microstructure is insufficiently understood due to the lagging of high-resolved in-situ characterization. This work proposes a nonlocal physically based… More >

Lifeng Gan¹, Baoyin Zhu², Chao Ling^1,*, Esteban P. Busso¹, Dongfeng Li¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010397

Abstract Heat-resistant austenitic stainless steels are widely used in the final stages of superheater and reheater in in the new generation of fossil fuel power stations, due to their high creep strength. Similar weld joints, fabricated using gas tungsten arc welding, for connecting different components made of the heat resistant austenitic stainless steels usually suffer from premature failures at elevated temperature [1]. Experimental studies showed that cracks may nucleate in the heat affected zone or weld metal of the similar welded joints under service conditions. In order to reveal the physical origin of unexpected failures of… More >

Shi Dai¹, Yanping Lian^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010175

Abstract In recent years, metal additive manufacturing (AM) has gained increasing attention from various industries. However, there are few studies on the thermal deformation behavior of additively manufactured metallic components, which is vital to pushing its applications’ boundary. In this work, we first experimentally investigate the mechanical behavior of AlSi10Mg produced by laser powder bed fusion under different temperatures and strain rates. A crystal plasticity finite element model is adopted to provide insights into the intrinsic deformation mechanisms. The model is validated by comparing it with the flow behaviors and dislocation evolutions observed in experiments at More >

Yinan Cui^1,*, Zhijie Li¹, Zhangtao Li¹, Zhanli Liu¹, Zhuo Zhuang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010121

Abstract How the plasticity features influence the fracture behaviours of material is a critical question but remains far from well understood. To disclose this mystery, a multiscale plasticity-fracture coupled model is developed, which considers the atomistic-scale dislocation motion mechanism, the mesoscopic scales of discrete crack-dislocation interactions, and the continuum scale of crystalline plastic-fracture response. Body center cubic (bcc) material is chosen as an example to demonstrate the effectiveness of the developed model due to their wide applications and their special plasticity features, such as strong temperature dependence and non-Schmid effect. Several new insights about the fracture More >