Junwen Huo, Haicheng Liang, Weiye Dong, Xiaoming Du^*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.073285 - 09 December 2025

Abstract With the rapid advancement of electromagnetic launch technology, enhancing the structural stability and thermal resistance of armatures has become essential for improving the overall efficiency and reliability of railgun systems. Traditional aluminum alloy armatures often suffer from severe ablation, deformation, and uneven current distribution under high pulsed currents, which limit their performance and service life. To address these challenges, this study employs the Johnson–Cook constitutive model and the finite element method to develop armature models of aluminum matrix composites with varying heterogeneous graphene volume fractions. The temperature, stress, and strain of the armatures during operation… More >

Siwen Xu¹, Hanning Chen², Rui Ni¹, Maowei He², Zhaodi Ge³, Xiaodan Liang^2,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-25, 2026, DOI:10.32604/cmc.2025.071398 - 09 December 2025

Abstract Selective Laser Melting (SLM), an advanced metal additive manufacturing technology, offers high precision and personalized customization advantages. However, selecting reasonable SLM parameters is challenging due to complex relationships. This study proposes a method for identifying the optimal process window by combining the simulation model with an optimization algorithm. JAYA is guided by the principle of preferential behavior towards best solutions and avoidance of worst ones, but it is prone to premature convergence thus leading to insufficient global search. To overcome limitations, this research proposes a Differential Evolution-framed JAYA algorithm (DEJAYA). DEJAYA incorporates four key enhancements More >

Zhijie Lin¹, Chao Yang^1,2,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-33, 2026, DOI:10.32604/cmc.2025.070735 - 09 December 2025

Abstract Sustainable aluminum alloys, renowned for their lower energy consumption and carbon emissions, present a critical path towards a circular materials economy. However, their design is fraught with challenges, including complex performance variability due to impurity elements and the time-consuming, cost-prohibitive nature of traditional trial-and-error methods. The high-dimensional parameter space in processing optimization and the reliance on human expertise for quality control further complicate their development. This paper provides a comprehensive review of Artificial Intelligence (AI) techniques applied to sustainable aluminum alloy design, analyzing their methodologies and identifying key challenges and optimization strategies. We review how… More >

Binchang Ma¹, Xinhai Yu², Gang Huang^3,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-21, 2026, DOI:10.32604/cmc.2025.071320 - 10 November 2025

Abstract Vacancy defects, as fundamental disruptions in metallic lattices, play an important role in shaping the mechanical and electronic properties of aluminum crystals. However, the influence of vacancy position under coupled thermomechanical fields remains insufficiently understood. In this study, transmission and scanning electron microscopy were employed to observe dislocation structures and grain boundary heterogeneities in processed aluminum alloys, suggesting stress concentrations and microstructural inhomogeneities associated with vacancy accumulation. To complement these observations, first-principles calculations and molecular dynamics simulations were conducted for seven single-vacancy configurations in face-centered cubic aluminum. The stress response, total energy, density of states More >

Jinlin Peng^1,*, Shen Li^1,2, Yunya Liu³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012647

Abstract The working temperature of aluminum electrolytic capacitor seriously affects its life and performance, especially when the core temperature is too high, its service life will be greatly reduced. At present, the detection of the center temperature of aluminum electrolytic capacitor needs to open a hole on the top of the aluminum electrolytic capacitor, place a thermocouple and run for a long time to reach a stable state, so as to obtain a more accurate core working temperature. According to the heating mechanism of aluminum electrolytic capacitor, the ripple current and surface temperature rise of aluminum… More >

Ruiping Wang, Chuang He, Shuo Zhang, Miaojun Xu^*, Zhuo Wang, Xiaoli Li^*, Bin Tao, Suliang Gao, Bin Li^*

Journal of Polymer Materials, Vol.42, No.4, pp. 1035-1049, 2025, DOI:10.32604/jpm.2025.073108 - 26 December 2025

Abstract The fabrication of highly flame-retardant polyamide 6 (PA6) composites is of great significance for expanding their practical applications. Herein, a new flame-retardant system (ADP/FA) was developed by combining aluminum diethylphosphinate (ADP) with excellent flame retardancy and fly ash (FA), an economical and environmentally friendly industrial waste. Due to the synergistic flame-retardant effect of ADP/FA in the condensed phase and gas phase, the PA6 composite containing only 11 wt% of ADP/FA (mass ratio 93:7) obtained vertical burning (UL-94) tests V-0 rating with a limiting oxygen index (LOI) of 30.9%. To obtain the same flame-retardant level of… More > Graphic Abstract

H. R. Shakir^a, O. A. Chichan^b, M. S. Sada^c,*, S. A. Hussein^d, S. S. Chiad^e, N. F. Habubi^f, Y. H. Kadhim^g, M. Jadan^h,i

Chalcogenide Letters, Vol.22, No.1, pp. 77-89, 2025, DOI:10.15251/CL.2025.221.77

Abstract CdS, and CdS: Al were grown onto glass bases via Chemical spray pyrolysis (CSP). XRD analysis of CdS films indicates a polycrystalline hexagonal structure with a predominant orientation of the (101) plane. The strain decreased from 28.55 to 25.66, and the grain size of undoped CdS films was around (13.51–12.14) nm as Al content rose. According to the results of AFM, CdS, CdS:2% Al, and CdS:4% Al all exhibit smooth surfaces with decreasing particle size in the range of (78.46), (69.75), and (42.20) nm, respectively. The root-mean-square roughness values for CdS and CdS:4% Al were… More >

Ehsan Akbari¹, Tajbakhsh Navid Chakherlou¹, Hamed Tabrizchi^2,3,*, Amir Mosavi^3,4,5,6

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 305-325, 2025, DOI:10.32604/cmes.2025.068581 - 30 October 2025

Abstract The ability to predict multiaxial fatigue life of Al-Alloy 7075-T6 under complex loading conditions is critical to assessing its durability under complex loading conditions, particularly in aerospace, automotive, and structural applications. This paper presents a physical-informed neural network (PINN) model to predict the fatigue life of Al-Alloy 7075-T6 over a variety of multiaxial stresses. The model integrates the principles of the Geometric Multiaxial Fatigue Life (GMFL) approach, which is a novel fatigue life prediction approach to estimating fatigue life by combining multiple fatigue criteria. The proposed model aims to estimate fatigue damage accumulation by the More >

Fengjuan Ding¹, Lu Suo², Tengjiao Hong^1,3,*, Fulong Dong¹, Dong Huang¹

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4551-4570, 2025, DOI:10.32604/cmc.2025.069565 - 23 October 2025

Abstract The complex phenomena that occur during the plastic deformation process of aluminum alloys, such as strain rate hardening, dynamic recovery, recrystallization, and damage evolution, can significantly affect the properties of these alloys and limit their applications. Therefore, studying the high-temperature flow stress characteristics of these materials and developing accurate constitutive models has significant scientific research value. In this study, quasi-static tensile tests were conducted on 5754 aluminum alloy using an electronic testing machine combined with a high-temperature environmental chamber to explore its plastic flow behavior under main deformation parameters (such as deformation temperatures, strain rates,… More >

Hao Qiu, Shoudong Ni^*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 2677-2697, 2025, DOI:10.32604/cmc.2025.064629 - 03 July 2025

Abstract In response to the missed and false detections that are easily caused by the large variety of and significant differences among aluminum surface defects, a detection algorithm based on an improved You Only Look Once (YOLO)v8n network is proposed. First, a C2f_DWR_DRB module is constructed by introducing a dilation-wise residual (DWR) module and a dilated reparameterization block (DRB) to replace the C2f module at the high level of the backbone network, enriching the gradient flow information and increasing the effective receptive field (ERF). Second, an efficient local attention (ELA) mechanism is fused with the high-level… More >