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  • Open Access

    ARTICLE

    Development of AI-Based Monitoring System for Stratified Quality Assessment of 3D Printed Parts

    Yewon Choi1,2, Song Hyeon Ju2, Jungsoo Nam2,*, Min Ku Kim1,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.071817 - 29 January 2026

    Abstract The composite material layering process has attracted considerable attention due to its production advantages, including high scalability and compatibility with a wide range of raw materials. However, changes in process conditions can lead to degradation in layer quality and non-uniformity, highlighting the need for real-time monitoring to improve overall quality and efficiency. In this study, an AI-based monitoring system was developed to evaluate layer width and assess quality in real time. Three deep learning models Faster Region-based Convolutional Neural Network (R-CNN), You Only Look Once version 8 (YOLOv8), and Single Shot MultiBox Detector (SSD) were… More >

  • Open Access

    ARTICLE

    3D Photogrammetric Modelling for Digital Twin Development: Accuracy Assessment Using UAV Multi-Altitude Imaging

    Nur Afikah Juhari, Khairul Nizam Tahar*

    Revue Internationale de Géomatique, Vol.35, pp. 1-11, 2026, DOI:10.32604/rig.2026.070991 - 19 January 2026

    Abstract The use of Unmanned Aerial Vehicles (UAVs) in photogrammetry has grown rapidly due to enhanced flight stability, high-resolution imaging, and advanced Structure from Motion (SfM) algorithms. This study investigates the potential of UAVs as a cost-effective alternative to Terrestrial Laser Scanners (TLS) for 3D building reconstruction. A 3D model of Bangunan Sarjana was generated in Agisoft Metashape Professional v.2.0.2 using 492 aerial images captured at flying altitudes of 40, 50, and 60 m. Ground control points were established using GNSS (RTK-VRS), and Total Station measurements were employed for accuracy validation. The results indicate that the 60 More >

  • Open Access

    ARTICLE

    A Hybrid Experimental-Numerical Framework for Identifying Viscoelastic Parameters of 3D-Printed Polyurethane Samples: Cyclic Tests, Creep/Relaxation and Inverse Finite Element Analysis

    Nikita Golovkin1,2, Olesya Nikulenkova3, Vsevolod Pobezhimov1, Alexander Nesmelov1, Sergei Chvalun1, Fedor Sorokin3, Arthur Krupnin1,3,*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073161 - 12 January 2026

    Abstract This study presents and verifies a hybrid methodology for reliable determination of parameters in structural rheological models (Zener, Burgers, and Maxwell) describing the viscoelastic behavior of polyurethane specimens manufactured using extrusion-based 3D printing. Through comprehensive testing, including cyclic compression at strain rates ranging from 0.12 to 120 mm/min (0%–15% strain) and creep/relaxation experiments (10%–30% strain), the lumped parameters were independently determined using both analytical and numerical solutions of the models’ differential equations, followed by cross-verification in additional experiments. Numerical solutions for creep and relaxation problems were obtained using finite element analysis, with the three-parameter Mooney-Rivlin… More > Graphic Abstract

    A Hybrid Experimental-Numerical Framework for Identifying Viscoelastic Parameters of 3D-Printed Polyurethane Samples: Cyclic Tests, Creep/Relaxation and Inverse Finite Element Analysis

  • Open Access

    ARTICLE

    Deep Retraining Approach for Category-Specific 3D Reconstruction Models from a Single 2D Image

    Nour El Houda Kaiber1, Tahar Mekhaznia1, Akram Bennour1,*, Mohammed Al-Sarem2,3,*, Zakaria Lakhdara4, Fahad Ghaban2, Mohammad Nassef5,6

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.070337 - 12 January 2026

    Abstract The generation of high-quality 3D models from single 2D images remains challenging in terms of accuracy and completeness. Deep learning has emerged as a promising solution, offering new avenues for improvements. However, building models from scratch is computationally expensive and requires large datasets. This paper presents a transfer-learning-based approach for category-specific 3D reconstruction from a single 2D image. The core idea is to fine-tune a pre-trained model on specific object categories using new, unseen data, resulting in specialized versions of the model that are better adapted to reconstruct particular objects. The proposed approach utilizes a… More >

  • Open Access

    ARTICLE

    Development of Patient-Derived Conditionally Reprogrammed 3D Breast Cancer Culture Models for Drug Sensitivity Evaluation

    Jing Cai1,#, Haoyun Zhu1,#, Weiling Guo1, Ting Huang1, Pangzhou Chen1,2, Wen Zhou1, Ziyun Guan1,3,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069902 - 30 December 2025

    Abstract Background: Therapeutic responses of breast cancer vary among patients and lead to drug resistance and recurrence due to the heterogeneity. Current preclinical models, however, are inadequate for predicting individual patient responses towards different drugs. This study aimed to investigate the patient-derived breast cancer culture models for drug sensitivity evaluations. Methods: Tumor and adjacent tissues from female breast cancer patients were collected during surgery. Patient-derived breast cancer cells were cultured using the conditional reprogramming technique to establish 2D models. The obtained patient-derived conditional reprogramming breast cancer (CRBC) cells were subsequently embedded in alginate-gelatin methacryloyl hydrogel microspheres… More >

  • Open Access

    ARTICLE

    Zero-Shot Vision-Based Robust 3D Map Reconstruction and Obstacle Detection in Geometry-Deficient Room-Scale Environments

    Taehoon Kim, Sehun Lee, Junho Ahn*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-30, 2026, DOI:10.32604/cmc.2025.071597 - 09 December 2025

    Abstract As large, room-scale environments become increasingly common, their spatial complexity increases due to variable, unstructured elements. Consequently, demand for room-scale service robots is surging, yet most technologies remain corridor-centric, and autonomous navigation in expansive rooms becomes unstable even around static obstacles. Existing approaches face several structural limitations. These include the labor-intensive requirement for large-scale object annotation and continual retraining, as well as the vulnerability of vanishing point or line-based methods when geometric cues are insufficient. In addition, the high cost of LiDAR and 3D perception errors caused by limited wall cues and dense interior clutter… More >

  • Open Access

    ARTICLE

    Porosity-Impact Strength Relationship in Material Extrusion: Insights from MicroCT, and Computational Image Analysis

    Jia Yan Lim1,2, Siti Madiha Muhammad Amir3, Roslan Yahya3, Marta Peña Fernández2, Tze Chuen Yap1,*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.070707 - 09 December 2025

    Abstract Additive Manufacturing, also known as 3D printing, has transformed conventional manufacturing by building objects layer by layer, with material extrusion or fused deposition modeling standing out as particularly popular. However, due to its manufacturing process and thermal nature, internal voids and pores are formed within the thermoplastic materials being fabricated, potentially leading to a decrease in mechanical properties. This paper discussed the effect of printing parameters on the porosity and the mechanical properties of the 3D printed polylactic acid (PLA) through micro-computed tomography (microCT), computational image analysis, and Charpy impact testing. The results for both… More >

  • Open Access

    ARTICLE

    Motion In-Betweening via Frequency-Domain Diffusion Model

    Qiang Zhang1, Shuo Feng1, Shanxiong Chen2, Teng Wan1, Ying Qi1,*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-22, 2026, DOI:10.32604/cmc.2025.068247 - 10 November 2025

    Abstract Human motion modeling is a core technology in computer animation, game development, and human-computer interaction. In particular, generating natural and coherent in-between motion using only the initial and terminal frames remains a fundamental yet unresolved challenge. Existing methods typically rely on dense keyframe inputs or complex prior structures, making it difficult to balance motion quality and plausibility under conditions such as sparse constraints, long-term dependencies, and diverse motion styles. To address this, we propose a motion generation framework based on a frequency-domain diffusion model, which aims to better model complex motion distributions and enhance generation… More >

  • Open Access

    REVIEW

    3D Printing of Organic and Biological Materials

    Priyadarshini Patel, Komal Parmar*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2855-2903, 2025, DOI:10.32604/fdmp.2025.069428 - 31 December 2025

    Abstract Tissue engineering has advanced remarkably in developing functional tissue substitutes for pharmaceutical and regenerative applications. Among emerging technologies, three-dimensional (3D) printing, or additive manufacturing, enables precise fabrication of biocompatible materials, living cells, and scaffolds into complex, viable constructs. Within regenerative medicine, 3D bioprinting addresses the growing demand for transplantable tissues and organs by assembling biological materials that replicate native architectures. This paper reviews biomaterials used in 3D bioprinting, emphasizing how their rheological behavior, particularly viscoelasticity and thixotropy, governs printability, structural fidelity, and cellular viability. The advantages and limitations of natural, synthetic, and composite bioinks are More > Graphic Abstract

    3D Printing of Organic and Biological Materials

  • Open Access

    ARTICLE

    Behavior of Sandwich Glued Laminated Bamboo Structures with a Core Formed by Bioplastic Fiber Using 3D Printing Technology

    Nattawat Mahasuwanchai, Thippakorn Udtaranakron, Kasan Chanto, Tawich Pulngern*

    Journal of Renewable Materials, Vol.13, No.12, pp. 2453-2478, 2025, DOI:10.32604/jrm.2025.02025-0137 - 23 December 2025

    Abstract This research investigates the behavior of sandwich glued laminated bamboo (Glubam) structures with a core formed by biodegradable plastic fibers, specifically polylactic acid (PLA), fabricated using 3D printing technology. The influence of various fiber printing orientations (0° and 45/135°) on tensile and compressive properties was investigated. The experimental results indicated that polylactic acid with calcium carbonate (PLA+) printed unidirectionally and aligned with the loading direction (0°) exhibits superior tensile and compressive strengths compared to specimens printed bidirectionally at 45/135°. Furthermore, the effect of additives on bioplastics of carbon fiber (PLA-CF) and glass fiber (PLA-GF) additives… More > Graphic Abstract

    Behavior of Sandwich Glued Laminated Bamboo Structures with a Core Formed by Bioplastic Fiber Using 3D Printing Technology

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