Path Planning Method for Wire-Based Additive Manufacturing Processes by Alexey Shcherbakov, Alexander Gudenko, Andrey Sliva, Daria Gaponova, Artem Marchenkov, Alexey Goncharov

“…The relevance of creating specialized computer programs that convert a virtual 3D model of an object into machine code (G-code) for controlling the process of 3D printing products from wire raw materials is substantiated. …”
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Sparse support path generation for multi-axis curved layer fused filament fabrication by Tak Yu Lau, Dong He, Yamin Li, Yihe Wang, Danjie Bi, Lulu Huang, Pengcheng Hu, Kai Tang

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Service Composition and Optimal Selection for Industrial Software Integration with QoS and Availability by Yangzhen Cao, Shanhui Liu, Chaoyang Li, Hongen Yang, Yuanyang Wang

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Intelligent generative design: a transfer learning-enhanced bidirectional mapping framework for customised parametric structural design by Jiajie Hu, Yayun Wang, Hua Tian, Peng Zheng, Liang Chi, Lulu Xue, Qian Su, Qing Jiang, Yong He, Lan Li, Liya Zhu

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Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics by Guanglin Liang, Linchong Huang, Chengyong Cao

“…The numerical model is calibrated through 3D printing and direct shear tests. …”
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Tool wear monitoring method based on AMIDBOAB and imbalanced data optimization by Guan-Hua Xu, Hong-Yu Wu, Bo Tang, Jun-Long Xu

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Programing mechanics in warp-knitted spacer materials with double inlay-jacquard systems by Zhang Yanting, Zhang Jing, Zhang Aijun, Liu Haisang, Chen Chaoyu, Jiang Gaoming

“…For the deviation between the design and the knitting result generated during the mapping process, an automatic detection method and an automatic correction algorithm are designed to ensure the accuracy of the mapping model. …”
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Development and Performance Analysis of Pneumatic Soft-Bodied Bionic Basic Execution Unit by Yu Zhang, Wenchuan Zhao, Ning Wang, Dengyu Lu

“…The physical model of pneumatic soft-bodied bionic basic execution unit is prepared through 3D printing, shape deposition, soft lithography, and other processing methods. …”
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Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting by Jaemyung Shin, Ryan Kang, Kinam Hyun, Zhangkang Li, Hitendra Kumar, Kangsoo Kim, Simon S. Park, Keekyoung Kim

“…Among the five algorithms evaluated, the multilayer perceptron model demonstrates the highest prediction accuracy, while the decision tree model offers the fastest computation time. …”
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A machine learning-based recommendation framework for material extrusion fabricated triply periodic minimal surface lattice structures by Sajjad Hussain, Carman Ka Man Lee, Yung Po Tsang, Saad Waqar

“…The results showed that the machine learning models, specifically the RF and DT algorithms, performed the best, achieving R-squared scores of 0.993 and 1.0 and RMSE scores of 0.1180 and 0.0795, respectively. …”
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Rapid in-air ultrasound holography measurement and camera-in-the-loop generation using thermography by Zak Morgan, Youngjun Cho, Sriram Subramanian

“…Finally, we integrate this with holography algorithms to propose a camera-in-the-loop algorithm that employs real-time measurement, enabling targeted data acquisition and on-line training of acoustic holography algorithms. …”
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Fiber Bragg grating flexible sensor for deformation monitoring in steel structure engineering by Chenguang Huang, Hui Zong, Xuepeng Chen, Peng Luo, Zongli Luo, Haixing Luo, Xiang Wu, Jie Huang

“…At the same time, a deformation monitoring model for steel structure engineering was constructed using the Kalman filtering algorithm. …”
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New experimental techniques for fracture testing of highly deformable materials by E. Dall’Asta, V. Ghizzardi, R. Brighenti, E. Romeo, R. Roncella, A. Spagnoli

“…Thanks to the implemented algorithm based on a Semi-Global Matching (SGM) approach, it is possible to constraint the regularity of the displacement field in order to significantly improve the reliability of the evaluated strains, especially in highly deformable materials. …”
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Architected Design and Fabrication of Soft Mechanical Metamaterials by Thileepan Stalin, Aby Raj Plamootil Mathai, Naresh Kumar Thanigaivel, Elgar Kanhere, Saikrishna Dontu, Gumawang Hiramandala, Aaron Chooi, Arturo Castillo Ugalde, Pablo Valdivia Y Alvarado

“…Planar printing tool paths, utilized in layer‐by‐layer printing such as fused deposition modeling (FDM) and prevalently used in most slicing algorithms, severely limit the realization of complex topologies required in metamaterials. …”
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PCB Electronic Component Soldering Defect Detection Using YOLO11 Improved by Retention Block and Neck Structure by Youzhi Xu, Hao Wu, Yulong Liu, Xing Zhang

“…The traditional two-stage target detection algorithm model has a large number of parameters and the runtime is too long. …”
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Enhancing mechanical and bioinspired materials through generative AI approaches by Silvia Badini, Stefano Regondi, Raffaele Pugliese

“…., failure mechanics-3D printing). In addition, generative AI techniques, including generative adversarial networks (GAN), genetic algorithms, and large language models (LLMs), offer efficient and tunable solutions for optimizing material properties, reducing production costs, and accelerating the development timelines.In the field of mechanical materials design, generative AI enables the rapid generation of novel structures with enhanced mechanical performance. …”
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Computer vision-based location-aware antenna system for 5G applications by Irshad Ali T K, Ansal K A, Sumitha Mathew, Rashida K

“…The system incorporates a machine learning-based computer vision algorithm, specifically the You Only Look Once (YOLO) model, and an optimisation technique for analysing visual data. …”
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An Effective One-shot Body Part Multi-View Reconstruction Device with Self-calibration Capabilities by M. Bonotto, M. Bonotto, D. Evangelista, M. Imperoli, A. Pretto

“…The scanned mesh will be used as a backbone model for the cast design and 3D printing. The system is based on the multi-view active stereo principle and it is composed of a circular array of 16 synchronized cameras (Fig. 1) and 4 equally distributed IR pseudo-random laser pattern projectors. …”
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Unsupervised learning of part similarity for goal-guided accelerated experiment design in metal additive manufacturing by Rui Liu, Sen Liu, Xiaoli Zhang

“…In this work, a similarity-based acceleration (S-acceleration) method for design of experiments is developed using K-means clustering and Gaussian Mixture Model (GMM) unsupervised learning algorithms to reduce the time and costs associated with unveiling process-property (porosity defects) relationships during manufacturing. …”
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Characterization of Anisotropy in Additively Manufactured Materials through Instrumented Indentation Testing by Zhuoshao Cai, Zhiwei Yang, Liang Meng, Kaijie Lin, Yuliang Hou, Thaneshan Sapanathan, Jihong Zhu, Weihong Zhang

“…In the present work, a 3D finite element model of indentation test is first established for the printed material, for which an anisotropic material constitutive model is incorporated. …”
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