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  • Open Access

    ARTICLE

    Noninvasive Radar Sensing Augmented with Machine Learning for Reliable Detection of Motor Imbalance

    Faten S. Alamri1, Adil Ali Saleem2, Muhammad I. Khan3, Hafeez Ur Rehman Siddiqui2, Amjad Rehman3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074679 - 29 January 2026

    Abstract Motor imbalance is a critical failure mode in rotating machinery, potentially causing severe equipment damage if undetected. Traditional vibration-based diagnostic methods rely on direct sensor contact, leading to installation challenges and measurement artifacts that can compromise accuracy. This study presents a novel radar-based framework for non-contact motor imbalance detection using 24 GHz continuous-wave radar. A dataset of 1802 experimental trials was sourced, covering four imbalance levels (0, 10, 20, 30 g) across varying motor speeds (500–1500 rpm) and load torques (0–3 Nm). Dual-channel in-phase and quadrature radar signals were captured at 10,000 samples per second… More >

  • Open Access

    REVIEW

    X-Ray Techniques for Defect Detection in Industrial Components and Materials: A Review

    Xin Wen1,2,3, Siru Chen1, Kechen Song2,3,4,*, Han Yu2,3,*, Xingjie Li2,3, Ling Zhong1

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4173-4201, 2025, DOI:10.32604/cmc.2025.070906 - 23 October 2025

    Abstract With the growing demand for higher product quality in manufacturing, X-ray non-destructive testing has found widespread application not only in industrial quality control but also in a wide range of industrial applications, owing to its unique capability to penetrate materials and reveal both internal and surface defects. This paper presents a systematic review of recent advances and current applications of X-ray-based defect detection in industrial components. It begins with an overview of the fundamental principles of X-ray imaging and typical inspection workflows, followed by a review of classical image processing methods for defect detection, segmentation,… More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Machine Learning-Guided Intelligent Modeling with Its Industrial Applications

    Xiong Luo1,*, Yongqiang Cheng2, Zhifang Liao3

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 7-11, 2024, DOI:10.32604/cmes.2024.056214 - 20 August 2024

    Abstract This article has no abstract. More >

  • Open Access

    REVIEW

    A Review on the Advancement of Renewable Natural Fiber Hybrid Composites: Prospects, Challenges, and Industrial Applications

    Mohammed Mohammed1,2,*, Jawad K. Oleiwi3, Aeshah M. Mohammed4, Anwar Ja’afar Mohamad Jawad5, Azlin F. Osman1,2, Tijjani Adam6, Bashir O. Betar7, Subash C. B. Gopinath2,8,9

    Journal of Renewable Materials, Vol.12, No.7, pp. 1237-1290, 2024, DOI:10.32604/jrm.2024.051201 - 21 August 2024

    Abstract Natural fibre (NFR) reinforced functional polymer composites are quickly becoming an indispensable sustainable material in the transportation industry because of their lightweight, lower cost in manufacture, and adaptability to a wide variety of goods. However, the major difficulties of using these fibres are their existing poor dimensional stability and the extreme hydrophilicity. In assessing the mechanical properties (MP) of composites, the interfacial bonding (IB) happening between the NFR and the polymer matrix (PM) plays an incredibly significant role. When compared to NFR/synthetic fibre hybrid composites, hybrid composites (HC) made up of two separate NFR are… More > Graphic Abstract

    A Review on the Advancement of Renewable Natural Fiber Hybrid Composites: Prospects, Challenges, and Industrial Applications

  • Open Access

    ARTICLE

    Modelling and Performance Analysis of Visible Light Communication System in Industrial Implementations

    Mohammed S. M. Gismalla1,2, Asrul I. Azmi1,2, Mohd R. Salim1,2, Farabi Iqbal1,2, Mohammad F. L. Abdullah3, Mosab Hamdan4,5, Muzaffar Hamzah4,*, Abu Sahmah M. Supa’at1,2

    CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 2189-2204, 2023, DOI:10.32604/cmc.2023.035250 - 29 November 2023

    Abstract Visible light communication (VLC) has a paramount role in industrial implementations, especially for better energy efficiency, high speed-data rates, and low susceptibility to interference. However, since studies on VLC for industrial implementations are in scarcity, areas concerning illumination optimisation and communication performances demand further investigation. As such, this paper presents a new modelling of light fixture distribution for a warehouse model to provide acceptable illumination and communication performances. The proposed model was evaluated based on various semi-angles at half power (SAAHP) and different height levels for several parameters, including received power, signal to noise ratio More >

  • Open Access

    ARTICLE

    Metaheuristic Resource Allocation Strategy for Cluster Based 6G Industrial Applications

    Anwer Mustafa Hilal1,*, Lamia Osman Widaa2, Fahd N. Al-Wesabi3, Mohammad Medani3, Manar Ahmed Hamza1, Mesfer Al Duhayyim4

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 667-681, 2022, DOI:10.32604/cmc.2022.021338 - 03 November 2021

    Abstract The emergence of Beyond 5G (B5G) and 6G networks translated personal and industrial operations highly effective, reliable, and gainful by speeding up the growth of next generation Internet of Things (IoT). Industrial equipment in 6G encompasses a huge number of wireless sensors, responsible for collecting massive quantities of data. At the same time, 6G network can take real-world intelligent decisions and implement automated equipment operations. But the inclusion of different technologies into the system increased its energy consumption for which appropriate measures need to be taken. This has become mandatory for optimal resource allocation in… More >

  • Open Access

    ARTICLE

    Metabolic Profiling in Banana Pseudo-Stem Reveals a Diverse Set of Bioactive Compounds with Potential Nutritional and Industrial Applications

    Guiming Deng1,2,3, Ou Sheng1,2,3, Fangcheng Bi1,2,3, Chunyu Li1,2,3, Tongxin Dou1,2,3, Tao Dong1,2,3, Qiaosong Yang1,2,3, Huijun Gao1,2,3, Jing Liu4, Xiaohong Zhong4, Miao Peng4, Ganjun Yi1,2,3, Weidi He1,2,3, Chunhua Hu1,2,3,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1101-1130, 2020, DOI:10.32604/phyton.2020.010970 - 09 November 2020

    Abstract Banana (Musa spp.) is an ancient and popular fruit plant with highly nutritious fruit. The pseudo-stem of banana represents on average 75% of the total dry mass but its valorization as a nutritional and industrial by-product is limited. Recent advances in metabolomics have paved the way to understand and evaluate the presence of diverse sets of metabolites in different plant parts. This study aimed at exploring the diversity of primary and secondary metabolites in the banana pseudo-stem. Hereby, we identified and quantified 373 metabolites from a diverse range of classes including, alkaloids, flavonoids, lipids, phenolic acids,… More >

  • Open Access

    ARTICLE

    Flow Features and Industrial Applications of TSE Rheoextrusion Process

    H. Tang1, L.C. Wrobel2, Z. Fan2

    FDMP-Fluid Dynamics & Materials Processing, Vol.3, No.2, pp. 129-146, 2007, DOI:10.3970/fdmp.2007.003.129

    Abstract This paper presents an overview of diverse extrusion techniques and, in particular, a focused discussion about the rheoextrusion process for semi-solid casting (a novel casting process for the fabrication of high quality metals). The review reveals a wealth of interesting rheological and microstructural features, illustrating qualitative and quantitative data. The analysis is supported by relevant numerical results and examples. It is shown how numerical studies can lead to significant insights into these processes by providing more detailed information on the fundamental mechanisms of morphology development (during phase change) and profile forming. The die filling and More >

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