Dayong Huang^1,2,*, Wenjun Wang^1,2, Xiaofu Tang^1,2, Pengfei Zhu³, Xianqiong Zhao^3,*

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 >

Yifei Wang, Zhao Zhang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.011121

Abstract Additive manufacturing (AM) reveals high anisotropy in mechanical properties due to the thermal accumulation induced microstructures. How to reveal the internal connection between the microstructures and the mechanical properties in additive manufacturing is a challenge. There are many methods to predict the mechanical properties based on the microstructural evolutions in additive manufacturing [1–3]. Here we summarized the main methods for the prediction of the mechanical properties in additive manufacturing, including crystal plasticity finite element method (CPFEM), dislocation dynamics (DD), and molecular dynamics (MD). We systematically examine these primary approaches for mechanical property predictions in AM,… More >

Hari Mohan Rai^1,#, Chandra Mukherjee^2,#, Joon Yoo¹, Hanaa A. Abdallah³, Saurabh Agarwal^4,*, Wooguil Pak^4,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5723-5745, 2025, DOI:10.32604/cmc.2025.070391 - 23 October 2025

Abstract A hybrid Compressed Sensing and Primal-Dual Wavelet (CSP-PDW) technique is proposed for the compression and reconstruction of ECG signals. The compression and reconstruction algorithms are implemented using four key concepts: Sparsifying Basis, Restricted Isometry Principle, Gaussian Random Matrix, and Convex Minimization. In addition to the conventional compression sensing reconstruction approach, wavelet-based processing is employed to enhance reconstruction efficiency. A mathematical model of the proposed algorithm is derived analytically to obtain the essential parameters of compression sensing, including the sparsifying basis, measurement matrix size, and number of iterations required for reconstructing the original signal and determining More >

Zhen Gong^#, Siyu Chen^#, Zhenyu Feng, Dawang Li, Le Zhang, Meiting Xu, Yanping Lin, Huixin Huang, Dan Jiang, Caiyi Wu, Yichun Ke, Zhonghui Du^*, Ning Zhao, Hongbo Liu^*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2101-2129, 2025, DOI:10.32604/fdmp.2025.068946 - 30 September 2025

Abstract Quantum dot inks (QDIs) represent an emerging functional material that integrates nanotechnology and fluid engineering, demonstrating significant application potential in flexible optoelectronics and high-color gamut displays. Their wide applicability is due to a unique quantum confinement effect that enables precise spectral tunability and solution-processable properties. However, the complex fluid dynamics associated with QDIs at micro-/nano-scales severely limit the accuracy of inkjet printing and pattern deposition. This review systematically addresses recent advances in the hydrodynamics of QDIs, establishing scientific mechanisms and key technical breakthroughs from an interdisciplinary perspective. Current research has focused on three optimization directions:… More >

Wen Qi¹, Yu-Fei Du¹, Bo-Han Chen², Gui-Lei An^1,3,*, Chun Lu^4,*

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2763-2780, 2025, DOI:10.32604/cmc.2025.069505 - 23 September 2025

Abstract In the production process of silicone sealant, mineral oil is used to replace methyl silicone oil plasticizer in silicone sealant to reduce costs and increase efficiency. However, the silicone sealant content in mineral oil is prone to premature aging, which significantly reduces the mechanical properties of the silicone sealant and severely affects its service life. At the same time, there are few reports on the simulation research of the performance of silicone sealant. In this study, three mixed system models of crosslinking silicone sealant/plasticizer are constructed by the molecular dynamics simulation method, and the effect… More >

Yizhou Wang¹, Qinghai Zhao^2,*, Guoqing Li¹, Xudong Li¹

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 763-789, 2025, DOI:10.32604/cmes.2025.067363 - 31 July 2025

Abstract Lattice structures have attracted extensive attention in the field of engineering materials due to their characteristics of lightweight and high strength. This paper combines topology optimization with additive manufacturing to investigate how pore shape in Triply Periodic Minimal Surface (TPMS) structures affects mechanical properties and energy absorption performance. The periodic lattice structures (Triangle lattice, rectangle lattice and Rectangle lattice) and aperiodic mixed structures are designed, including a variety of lattice structures such as circle-circle and triangle-triangle (CCTT), triangle-triangle and rectangle-rectangle (TTRR), circle-circle and rectangle-rectangle (CCRR), triangle-circle-circle-triangle (TCCT), rectangle-triangle-triangle-rectangle (RTTR) and rectangle-circle-circle-rectangle (RCCR). The anisotropy of… More >

Yu Sang¹, Anqi Du¹, Changqing Ye¹, Jianhua Xiang¹, Yi Chen¹, Yazhou Guo², Le Shen^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.7, pp. 1623-1639, 2025, DOI:10.32604/fdmp.2025.065832 - 31 July 2025

Abstract In the context of the global “Carbon Peaking and Carbon Neutrality” initiative, the injection of carbon dioxide (CO₂) into depleted gas reservoirs represents a dual-purpose strategy—facilitating long-term carbon sequestration while enhancing hydrocarbon recovery. However, variations in injection parameters at the wellhead can exert pronounced effects on the temperature and pressure conditions at the bottom of the well. These variations, in turn, influence the geomechanical behavior of reservoir rocks and the displacement efficiency of CO₂ within the formation. Precise prediction of downhole thermodynamic conditions is therefore essential for optimizing injection performance and ensuring reservoir stability. To address… More >

Xintao Duan^1,2,*, Yinhang Wu¹, Zhao Wang¹, Chuan Qin³

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4887-4906, 2025, DOI:10.32604/cmc.2025.064620 - 30 July 2025

Abstract Deep neural network (DNN) models have achieved remarkable performance across diverse tasks, leading to widespread commercial adoption. However, training high-accuracy models demands extensive data, substantial computational resources, and significant time investment, making them valuable assets vulnerable to unauthorized exploitation. To address this issue, this paper proposes an intellectual property (IP) protection framework for DNN models based on feature layer selection and hyper-chaotic mapping. Firstly, a sensitivity-based importance evaluation algorithm is used to identify the key feature layers for encryption, effectively protecting the core components of the model. Next, the L1 regularization criterion is applied to More >

Jianping Li, Wan Xiong, Tenghang Zhang, Hao Cheng, Kun Shen, Miaojin He, Yu Zhang, Junxin Song, Ying Deng^*, Qiaowang Chen^*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2189-2216, 2025, DOI:10.32604/cmc.2025.066128 - 03 July 2025

Abstract Tungsten carbide-based (WC-based) cemented carbides are widely recognized as high-performance tool materials. Traditionally, single metals such as cobalt (Co) or nickel (Ni) serve as the binder phase, providing toughness and structural integrity. Replacing this phase with high-entropy alloys (HEAs) offers a promising approach to enhancing mechanical properties and addressing sustainability challenges. However, the complex multi-element composition of HEAs complicates conventional experimental design, making it difficult to explore the vast compositional space efficiently. Traditional trial-and-error methods are time-consuming, resource-intensive, and often ineffective in identifying optimal compositions. In contrast, artificial intelligence (AI)-driven approaches enable rapid screening and… More >

Chang Liu^1,3, Chengcheng Yin¹, Jinjin Zhang², Haijun Sun^1,3,*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 695-707, 2025, DOI:10.32604/phyton.2025.061790 - 31 March 2025

Abstract To promote the growth of cutting seeding of poplar (Populus L.), nitrogen (N) fertilizer and surface weed managements were required. We here conducted a pot experiment to examine the effects of natural vegetation, barnyardgrass (Echinochloa Beauv.), and sesbania (Sesbania cannabina pers.) on the growth of poplar cutting seedlings, soil properties, and ammonia (NH₃) volatilization under three N inputs (0, 0.5, and 1.5 g/pot, i.e., N0, N0.5, and N1, respectively). Results showed that N application promoted the growth of poplar cutting seedlings, including plant height, ground diameter, and biomass, compared with N0 treatment. Moreover, under N0, sesbania significantly increased… More >