Layout Optimization of Multi-Robot Manufacturing Processing Systems: Applications in Directed Energy Deposition–Arc Additive Manufacturing and Jig-Less Welding by Michail Aggelos Terzakis, Christos Papaioannou, Iñaki Sainz, Jonatan Rodriguez Vazquez, Panagiotis Lagios, Enrique Gil Illescas, Panagiotis Stavropoulos

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Experimental analysis and optimization of hydrogen pre-cooling liquefaction process with composite catalyst through a hybrid priority cluster modeling approach by Faisal Khan, Osama Khan, Praveen Pachauri, Mohd Parvez, Aiyeshah Alhodaib, Zeinebou Yahya, Haidar Howari, M. Javed Idrisi, Worku Tenna

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PHYSICAL-MATEMATICALSCIENCE MECHANICS SIMULATION CHALLENGES IN OPTIMISING THEORETICAL METAL CUTTING TASKS by Rasul V. Guseynov, Lyudmila M. Sultanova

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Experimental investigation and laser control in Ti10Mo6Cu powder bed fusion: optimizing process parameters with machine learning by Ouf A. Shams, Hanan B. Matar Al-Baity, Luttfi A. Al-Haddad

“…The findings indicate that ML-driven control strategies can significantly enhance track uniformity, minimize defects, and improve the repeatability of LPBF processes. While the study successfully optimized process outcomes, future work should focus on real-time adaptive control mechanisms and the expansion of training datasets to further refine predictive capabilities. …”
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Driving mechanism of multiple policy combinations on photovoltaic industry-economy-environment synergy optimization: Simulation analysis based on system dynamics by LI Jing, WANG Nan, LI Wei, ZHANG Xingya

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Fabrication and mechanical properties of self-reinforced poly(ethylene terephthalate) composites

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Influence of Reflow Cycles of the Pb–Free/Pb Hybrid Assembly Process on the IMCs Growth Interface of Micro-Solder Joints by Xinyuan He, Qi Zhang, Qiming Cui, Yifan Bai, Lincheng Fu, Zicong Zhao, Chuanhang Zou, Yong Wang

“…The third reflow initiates uniform growth of scalloped grains of 7.0 μm with a stable population density, whereas the fifth reflow triggers a semicircular grain transformation of 9.1 μm through conspicuous coalescence mechanisms. This work elucidates multiple reflow IMC growth mechanisms in Pb–free/Pb hybrid solder joints, providing critical theoretical and practical insights for optimizing hybrid technologies and reliability management strategies in high-reliability aerospace electronics.…”
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Study of the Effect of Regulating Alloying Elements and Optimizing Heat Treatment Processes on the Microstructure Properties of 20MnCr5 Steel Gears by Li Luo, Yong Chen, Fucheng Zhao, Weifeng Hua, Xu Song, Zhengyun Xu, Zhicheng Jia

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Modelling of Surface Roughness and Tool Wear when Finishing Milling Process of the Circular Bevel Gear by Dong Van PHAM, Thinh Xuan Hoang

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Application of virtual assembly for complex mechanical structures based on digital twin technology by Jin Chuyun, Lin Mu

“…The research aims to develop high-fidelity virtual assembly models that enable precise simulation and optimization of mechanical assembly processes. By integrating multi-level information modeling techniques and incorporating gesture recognition technology to enhance human-computer interaction, the proposed approach significantly improves the efficiency and accuracy of mechanical assembly operations. …”
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Optimization of a chemical recycling process for epoxy-amine thermosets and their carbon fiber reinforced composites using a design of experiments approach by Valeria De Fabritiis, Leonardo Matta, Gianmarco Griffini, Stefano Turri

“…Process optimization was performed, based on the resulting model, to identify the most favorable operating conditions for the solvolysis, then validated on the corresponding CFRPs. …”
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Spectral momentum integration: hybrid optimization of frequency and time domain gradients by Zhigao Huang, Musheng Chen, Shiyan Zheng

“…We propose Spectral Momentum Integration (SMI), an optimization enhancement that processes gradients in both frequency and time domains. …”
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Analysis of a dynamically adjustable multi-level soft fruit catching system design for mechanical harvesting by Kaiming Fu, Yuankai Zhu, Ethan H. Frehner, Kyle T. Rizzo, Stavros G. Vougioukas, Brian N. Bailey

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Role of volumetric energy density on surface quality and mechanical properties of selective laser melted 310 stainless steel by P. Manikandan, K. Venkatesan

“…This study explores the influence of volumetric energy density (VED), achieved by varying selective laser melting (SLM) process parameters on surface quality and mechanical properties of SS 310. …”
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Design and surface enhancement of ABS parts manufactured by Arburg plastic freeforming (APF) using chemical vapor treatment by Vaclav Janostik, Martin Cvek, Vladimir Pata, Vojtech Senkerik, Martin Ovsik

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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

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Amorphous Fe-Doped Manganese Carbonate for Efficient Activation of Peroxymonosulfate: Mechanism and Performance Toward Orange II Degradation by Peng Cheng, Yuqing Li, Yunlong Ma, Cui Qiu, Tengfei Fu, Yajie Wang, Feng Wu

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Elman and feedforward neural network based models for predicting mechanical properties of flow formed AA6082 tubes by Tarak Nath De, Bikramjit Podder, Nirmal Baran Hui, Chandan Mondal, Vimal Kumar Pathak

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Evolution process of T1 precipitate in Al–Cu–Li–TiC/TiB2 alloy during aging treatment by Jiadong Li, Haiyao Wang, Yong Li, Hongqun Tang, Guangming Xu, Tongjin Zhang, Yilei Wang, Xiaoming Qian, Chen He

“…The recently formed T1P precipitate is attached to the established T1 precipitate and extends along the c-axis through the shared copper-rich layer that has formed on both sides of the mature T1 precipitate. The mechanical properties of sample A1 are optimal at T = 22h, with a yield strength, tensile strength, and elongation of 520 MPa, 553 MPa, and 8.2%, respectively. …”
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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…The model comprehensively matched the multiple requirements of information weighting, temporal dependency modeling, and model optimization in concrete dam deformation prediction, forming a synergistic enhancement effect among methods.The attention mechanism operates on both feature and temporal dimensions to comprehensively enhance the model's focus on critical information. …”
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