Jifeng Liang¹, Qiang Wang², Leibao Wang¹, Ziwei Zhang³, Yonghui Sun^3,*, Hongzhu Tao⁴, Xiaofei Li⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 945-965, 2025, DOI:10.32604/cmes.2025.062315 - 11 April 2025

Abstract Wind power generation is subjected to complex and variable meteorological conditions, resulting in intermittent and volatile power generation. Accurate wind power prediction plays a crucial role in enabling the power grid dispatching departments to rationally plan power transmission and energy storage operations. This enhances the efficiency of wind power integration into the grid. It allows grid operators to anticipate and mitigate the impact of wind power fluctuations, significantly improving the resilience of wind farms and the overall power grid. Furthermore, it assists wind farm operators in optimizing the management of power generation facilities and reducing… More > Graphic Abstract

Shilpi Tiwari^*, Manjari Srivastava, Dibyendu S. Bag^*

Journal of Polymer Materials, Vol.42, No.1, pp. 187-204, 2025, DOI:10.32604/jpm.2025.057322 - 27 March 2025

Abstract Smart materials with self-healing properties are highly desired. This study investigates graphene-incorporated styrene-isoprene-styrene (SIS) nanocomposites for their self-healing property assisted by Infrared (IR) and microwave radiation. The good thermal conductivity and energy-absorbing capacity of graphene offer self-healing capability to SIS/GnP nanocomposites due to their exposure to IR and microwave radiation. The absorbed energy in graphene is transferred to the SIS matrix, facilitating the diffusion, re-entanglement, and restoration of the SIS polymer chains, resulting in multiple times self-healing capabilities using various external stimuli. All SIS/GnP nanocomposite samples exhibit self-healing behavior, and the healing efficiency rises with… More > Graphic Abstract

Kirill Rysin^*, Alexey Vjatkin, Victor Kozlov

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 605-621, 2025, DOI:10.32604/fdmp.2025.061722 - 01 April 2025

Abstract Thermal vibrational convection (TVC) refers to the time-averaged convection of a non-isothermal fluid subjected to oscillating force fields. It serves as an effective mechanism for heat transfer control, particularly under microgravity conditions. A key challenge in this field is understanding the effect of rotation on TVC, as fluid oscillations in rotating systems exhibit unique and specific characteristics. In this study, we examine TVC in a vertical flat layer with boundaries at different temperatures, rotating around a horizontal axis. The distinctive feature of this study is that the fluid oscillations within the cavity are not induced… More >

Veronika Dyakova^1,2,*, Olga Vlasova¹, Victor Kozlov¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 493-508, 2025, DOI:10.32604/fdmp.2025.060577 - 01 April 2025

Abstract An experimental investigation of the dynamics of the interface between two low-viscosity fluids with high density contrast oscillating in a fixed vertical slotted channel has been conducted. It has been found that as the amplitude of the liquid column oscillations increases, parametric oscillations of the interface are excited in the form of a standing wave located in the channel plane. In particular, depending on the interfacial tension, the standing waves have a frequency equal to that of liquid piston oscillations (harmonic response), or half of the frequency of oscillations of the liquid column in the… More >

Borui Wang, Dongyue Gao^*, Haiyang Gu, Mengke Ding, Zhanjun Wu

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 455-473, 2025, DOI:10.32604/cmc.2025.060617 - 26 March 2025

Abstract Fatigue damage is a primary contributor to the failure of composite structures, underscoring the critical importance of monitoring its progression to ensure structural safety. This paper introduces an innovative approach to fatigue damage monitoring in composite structures, leveraging a hybrid methodology that integrates the Whale Optimization Algorithm (WOA)-Backpropagation (BP) neural network with an ultrasonic guided wave feature selection algorithm. Initially, a network of piezoelectric ceramic sensors is employed to transmit and capture ultrasonic-guided waves, thereby establishing a signal space that correlates with the structural condition. Subsequently, the Relief-F algorithm is applied for signal feature extraction,… More >

Mariam Habouria¹, Sahbi Ouertani^1,*, Noura Ben Mansour², Soufien Azzouz¹, Mohamed Taher Elaieb³

Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 345-360, 2025, DOI:10.32604/fhmt.2024.057387 - 26 February 2025

Abstract The aim of this paper was to characterize through experiment the moisture and temperature kinetic behavior of Eucalyptus gomphocephala wood samples using microwave heating (MWH) in two scenarios: intermittently and continuously. The mechanical properties and surface appearance of the heated samples were also investigated. Continuous and intermittent microwave drying kinetic experiments were conducted at a frequency of 2.45 GHz using a microwave laboratory oven at 300, 500, and 1000 watts. Drying rate curves indicated three distinct phases of MWH. Increasing the microwave power with a shorter drying time led to rapid increases in internal temperature and… More >

Ahmed M. Khalil¹, Samir Kamel^2,*

Journal of Renewable Materials, Vol.13, No.2, pp. 401-412, 2025, DOI:10.32604/jrm.2024.057419 - 20 February 2025

Abstract Developing favorable bio-based polymers that replace petroleum-based plastics is an essential environmental demand. Lignin is a by-product of the chemical pulping industry. It is a natural UV protection ingredient in broad-spectrum (UVA and UVB) sunscreens. It could be partially and selectively acetylated in a simple, fast, and more reliable process. In this work, a composite film was prepared with UV-resistant properties through a casting method. Bio-based cellulose acetate (CA) was employed as a major matrix while nano-acetylated kraft lignin (AL-NPs) was used as filler during synthesizing UV-shielding films loaded with various amounts (1–5 wt.%) of… More > Graphic Abstract

Nan Pan^1,*, Yi Liu², Dilin Pan², Junbing Qian¹, Gang Li³

Intelligent Automation & Soft Computing, Vol.40, pp. 145-145, 2025, DOI:10.32604/iasc.2025.062707 - 29 January 2025

Abstract This article has no abstract. More >

Chein-Shan Liu, Chung-Lun Kuo^*

Digital Engineering and Digital Twin, Vol.2, pp. 145-167, 2024, DOI:10.32604/dedt.2024.042804 - 31 December 2024

Abstract A new concept of projective solution is introduced for the second-order linear partial differential equations (PDEs) endowed with constant coefficients. In terms of a projective variable the PDE is transformed to a second-order ordinary differential equation (ODE) with constant coefficients at the first time. The characteristic form appears as the coefficient preceding the second-order derivative term. Depending on the characteristic form and coefficients we can derive various parameters-dependent particular solutions, which can be adopted as the bases to expand the solution. The Helmholtz and wave equations are solved by the projection method. We project the… More >

Satya Narayan Das^1,2,*, Mrutyunjaya Panda^2,*

Intelligent Automation & Soft Computing, Vol.39, No.6, pp. 1073-1100, 2024, DOI:10.32604/iasc.2024.057013 - 30 December 2024

Abstract In today’s world of massive data and interconnected networks, it’s crucial to burgeon a secure and efficient digital watermarking method to protect the copyrights of digital content. Existing research primarily focuses on deep learning-based approaches to improve the quality of watermarked images, but they have some flaws. To overcome this, the deep learning digital image watermarking model with highly secure algorithms is proposed to secure the digital image. Recently, quantum logistic maps, which combine the concept of quantum computing with traditional techniques, have been considered a niche and promising area of research that has attracted… More >