https://ms.copernicus.org/articles/ Combined list of the recent articles of the journal Mechanical Sciences and the recent discussion forum Mechanical Sciences Discussions en https://doi.org/10.5194/ms-2026-186 Fixed Channel Frequency Graphs for Cross Speed Compound Fault Diagnosis of Gearboxes Junwei Shen Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-186,2026 Preprint under review for MS (discussion: open, 0 comments) Gearboxes often have multiple simultaneous faults, which are hard to identify when speeds change. We tested a new computer method that converts vibration data into simple network graphs. Using 64 public recordings, it reached 83 % average accuracy in finding seven fault types. It beat random graphs but scored lower than standard wave-based deep learning. This shows the promise and current limits of graph methods for machinery health monitoring. Thu, 15 Oct 2026 21:49:48 +0200 https://doi.org/10.5194/ms-17-901-2026 Mechanical properties of reactive high-entropy alloys and energy-release characteristics of projectiles impacting a multi-layer circuitry target Zhong Shi, Chenchen Wu, Wentong Qiao, Lijun Mao, Zhaojun Pang, and Jinguo Liu Mech. Sci., 17, 901–916, https://doi.org/10.5194/ms-17-901-2026, 2026 Three TiZr-based high-entropy alloys were fabricated via vacuum arc melting. A novel three-layer spaced target was designed to simulate combined metal-casing and internal circuitry systems. Mechanisms governing the coupled mechanical–energetic response were investigated by quasi-static and dynamic mechanical testing with post-mortem microstructural characterization and energy-release quantification. Tue, 13 Oct 2026 21:49:48 +0200 https://doi.org/10.5194/ms-2026-174 Structural Characterization of Excavator Working Device Based on Measured Digging Trajectories and Different Working Loads Yijian Zhang, Zhigui Ren, Shusheng Cao, Liang Lv, Xiaoping Pang, Kaitao Ren, and Heng Zhang Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-174,2026 Preprint under review for MS (discussion: open, 0 comments) This research studies the working equipment of hydraulic excavators, which bears heavy loads during digging operations. We collected real digging movement data from field tests and analyzed the structural performance under different working loads. We found the stress and deformation distribution of key components under practical digging trajectories. The results help engineers better understand structural load features and support safer and more reliable design of excavator working parts. Mon, 12 Oct 2026 21:49:48 +0200 https://doi.org/10.5194/ms-17-883-2026 Thermal performance regulation of micro-textured interfaces via multi-scale topology optimization and numerical simulation Xuehua Chen, Jiafu Ruan, and Xigui Wang Mech. Sci., 17, 883–900, https://doi.org/10.5194/ms-17-883-2026, 2026 This study tackles overheating in deep-sea LED fish-attracting lamps under extreme heat. A new cooling approach combines special surface patterns, chimney airflow, and heat pipes. The lamp housing is reshaped to channel heat efficiently from the light source to the outer shell. Fine surface textures at key contacts further improve heat flow. Tests show this reduces peak temperature by 6.73% compared to conventional designs, offering an effective solution for high-power underwater lighting. Fri, 09 Oct 2026 21:49:48 +0200 https://doi.org/10.5194/ms-2026-179 Prediction of Mechanical Response of Special Thread Connections under Multiple Load States Based on XGBoost Qi Li, Qingying Yuan, Mengke Sun, Jiarui Tang, Bosheng Qiao, and Shuaijun Yin Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-179,2026 Preprint under review for MS (discussion: open, 0 comments) Special threaded connections must stay sealed and strong under combined heat, pulling, and pressure, but testing every condition is slow and costly. We built computer models of realistic machining and loading combinations, then trained machine learning to predict key measures like contact length and stress. Predictions matched simulations closely, and thread taper had the greatest influence. This helps manufacturers choose better machining settings and inspect dimensions more reliably. Thu, 08 Oct 2026 21:49:48 +0200 https://doi.org/10.5194/ms-2026-176 Thermal stability of surface residual stresses in gear shaft subjected to ultrasonic impact treatment: A finite element simulation study Xinbo Zhang, Zongrong Sun, and Xigui Wang Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-176,2026 Preprint under review for MS (discussion: open, 2 comments) Gear shafts in ships and machines work under heavy loads. Striking a metal surface with rapid ultrasonic pulses makes it harder, smoother and longer-lasting by squeezing its outer layer. But warmth during operation may weaken this benefit. We treated a steel gear shaft this way, then kept it warm. The surface stayed hard and smooth; heat only slightly eased the squeezing, while hardening remained intact. Computer predictions matched our tests, supporting safe use of this method in warm service. Fri, 02 Oct 2026 21:49:48 +0200 https://doi.org/10.5194/ms-2026-172 Physics-Guided Residual DCT Spectral Neural Operator for Air-Gap Response Prediction in EMS Maglev Trains Rang Zhang, Jiwei Liu, Chenxu Lu, Dilai Chen, and Qin Li Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-172,2026 Preprint under review for MS (discussion: open, 0 comments) High-speed magnetic levitation trains require a stable gap between the vehicle and guideway for safe and smooth operation. We developed a data-driven prediction method using detailed computer simulations to estimate this gap quickly from track irregularities. The method reproduces key response patterns more accurately than several existing approaches while greatly reducing calculation time. This can support faster repeated assessment of train performance under different operating conditions. Thu, 01 Oct 2026 21:49:48 +0200 https://doi.org/10.5194/ms-2026-169 Review article: A review of dynamic response analysis methods for transmission tower-line systems under ice-wind hazards Bingzhao Qiu, Yiqi Liu, and Mingfei Ban Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-169,2026 Preprint under review for MS (discussion: open, 1 comment) Ice and strong winds can seriously damage transmission lines and disrupt power supply. This review compares major methods used to understand and predict these effects, from physical and numerical models to statistical and data-driven approaches. It shows that no single method is sufficient and highlights the value of combining complementary methods to improve risk assessment, resilience, and future decision-making. Tue, 29 Sep 2026 21:49:48 +0200 https://doi.org/10.5194/ms-2026-170 Design and Analysis of an Adaptive Grasping Device Based on Parallelogram Mechanism Dabao Fan, Haibing Feng, Yuming Zhao, Ya Liu, Yunjiao Deng, and Daxing Zeng Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-170,2026 Preprint under review for MS (discussion: open, 1 comment) This paper proposes a parallelogram-based adaptive grasping device to overcome the limitations of conventional rigid grippers. It integrates adaptive parallelogram units and a 2-RRR planar parallel driving mechanism. Screw theory and kinematic analysis validate its performance, while a bevel gear set minimizes driving motors. Grasping tests confirm its favorable dimensional adaptability, providing theoretical and engineering references for adaptive grasping equipment design. Tue, 29 Sep 2026 21:49:48 +0200 https://doi.org/10.5194/ms-17-873-2026 Analysis of the influence of magnetic field on polishing results in reciprocating magnetorheological polishing Rensheng Wang, Dongming Liang, Xiangna Kong, and Qi Wang Mech. Sci., 17, 873–881, https://doi.org/10.5194/ms-17-873-2026, 2026 This study develops a magnetic field device for reciprocating magnetorheological polishing, examining how excitation current and working gap impact magnetic field performance and polishing effects via simulations and experiments. Magnetic induction intensity varies with these parameters, and optimal settings reduce specimen roughness to 41–42 nm from an initial value of approximately 325 nm. Tue, 22 Sep 2026 21:49:48 +0200 https://doi.org/10.5194/ms-2026-168 A Lightweight BEV Perception Optimization Framework for Real-Time 3D Object Detection in Occluded Scenes Yi Zhang, Anhua Zhou, and Jun Li Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-168,2026 Preprint under review for MS (discussion: open, 2 comments) Autonomous vehicles must detect nearby road users quickly and reliably, even when objects are partly hidden. We developed a lightweight camera-based method that adapts its processing to scene difficulty, combines information across video frames, and learns from laser-sensor data during training. It reached 38.7% on the benchmark detection measure and processed 26.2 frames per second without laser sensors during use, showing strong potential for fast, lower-cost vehicle perception. Tue, 22 Sep 2026 21:49:48 +0200 https://doi.org/10.5194/ms-17-857-2026 Shaft-flexibility-induced hydrodynamic support redistribution and modal response in a multi-support bearing-rotor system Yulin Zhang, Bing Li, Wubin Xu, Hanyu Guo, and Yanpeng Yuan Mech. Sci., 17, 857–871, https://doi.org/10.5194/ms-17-857-2026, 2026 Flexible shafts supported by several oil-lubricated bearings can bend under local loads, changing how the bearings carry the rotor. This study shows that end loading strongly alters the oil-film support near the loaded end and redistributes support along the shaft. These local changes reshape the first bending mode more clearly than they shift the main low-order critical speed. Fri, 18 Sep 2026 21:49:48 +0200 https://doi.org/10.5194/ms-17-839-2026 Experimental identification and robust optimization of spindle–bearing systems with reliability constraints Huimin Wu and Jianwei Ma Mech. Sci., 17, 839–855, https://doi.org/10.5194/ms-17-839-2026, 2026 Controlling vibrations in high-speed machinery is difficult and essential. We analyzed experiment data to identify how bearing components behave under real conditions. By integrating these experimental findings with advanced optimization methods, we successfully balanced vibration reduction with strict safety limits. Physical testing showed that our approach significantly decreased peak vibrations and nearly eliminated failure risks, paving the way for highly reliable equipment. Thu, 17 Sep 2026 21:49:48 +0200 https://doi.org/10.5194/ms-2026-165 A visual grasping method for collaborative robots in unstructured scenes based on object detection and grasp pose estimation Junxiao Liu, Jun Qian, Yunkai Tan, and Rong Zhou Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-165,2026 Preprint under review for MS (discussion: final response, 3 comments) Robotic grasping in complex environments is challenging due to variations in object positions, orientations, and backgrounds. This study proposes a vision-based method for collaborative robots that integrates object detection, target mask generation, and grasp position estimation to improve grasping reliability. Experiments on a robot platform demonstrate effective target-specific grasping in unstructured multi-object scenes, showing its potential for intelligent manufacturing applications. Mon, 07 Sep 2026 21:49:49 +0200 https://doi.org/10.5194/ms-2026-167 Mechanism‑Structure Collaborative Optimization Design of Excavator Stick under Hard‑Soil Conditions Kaitao Ren, Zhigui Ren, Heng Zhang, Yijian Zhang, Yuxiang Chen, and Ruibo Liu Mech. Sci. Discuss., https://doi.org/10.5194/ms-2026-167,2026 Preprint under review for MS (discussion: final response, 3 comments) Aiming at stick failures under hard‑soil excavation, this paper presents a mechanism‑structure collaborative optimization for a 20‑ton excavator. With test‑identified hazardous conditions and Kriging surrogate models, NSGA‑II‑based two‑level optimization boosts digging force by 9 %, cuts peak stress by 7 % and reduces stick weight by 9 %. It provides references for excavator‑attachment multidisciplinary optimization. Mon, 07 Sep 2026 21:49:49 +0200 https://doi.org/10.5194/ms-17-825-2026 Two-dimensional point suspension characteristics of a magnetic robot driven by dual electromagnets within a fluid pipe Zhanxiang Cui, Yonghua Lu, and Yun Zhu Mech. Sci., 17, 825–838, https://doi.org/10.5194/ms-17-825-2026, 2026 Pipeline robots have demonstrated significant potential in cleaning, inspection, and  transportation. By leveraging magnetic-levitation technology, we employ a symmetric magnetic drive system to achieve controlled suspension and locomotion of a magnetic robot within fluid-filled pipelines. The robot exhibits robust resistance to flow disturbances, better positioning accuracy, and stable motion performance. Tue, 25 Aug 2026 21:49:49 +0200 https://doi.org/10.5194/ms-17-813-2026 Research on reconfigurable kinematic analysis and type synthesis of planar prismatic Rubik's cube mechanism Dabao Fan, Daxing Zeng, Yuming Zhao, Haibing Feng, Yunjiao Deng, and Ya Liu Mech. Sci., 17, 813–823, https://doi.org/10.5194/ms-17-813-2026, 2026 A planar prismatic Rubik's cube mechanism is defined as a Rubik's-cube-inspired mechanism where components only carry out planar motion. Based on a physical prototype, this paper illustrates the composition, topological configuration, and reconfigurable motion process of the mechanism. The type synthesis method proposed in this paper not only creates more novel mechanism configurations but also enriches and improves the type synthesis theories for planar mechanisms. Mon, 17 Aug 2026 21:49:49 +0200 https://doi.org/10.5194/ms-17-799-2026 An effective prediction model for dynamic wear evolution of unmodified and modified helical gear pairs Bing Yuan, Yuzheng Tan, Songtao Zhao, Jingyi Gong, and Hao Dong Mech. Sci., 17, 799–811, https://doi.org/10.5194/ms-17-799-2026, 2026 We developed a wear model for helical gears with surface modifications, coupling wear with dynamic contact forces and a dynamic wear coefficient. Unlike traditional constant‑rate models, our approach captures real‑time changes in contact stress. Results show wear has little effect on gear stiffness, but its distribution varies strongly with modification type, which also alters vibration evolution. This work aids selection of surface designs to improve gear reliability and reduce noise. Wed, 29 Jul 2026 21:49:49 +0200 https://doi.org/10.5194/ms-17-783-2026 Optimal design and validation of a heavy-duty wave compensation parallel platform utilizing the NSGA-III algorithm Tianzhong Huang, Renjie Luo, Lifeng Mao, Jia Wang, Fei Zhou, and Guoxing Zhang Mech. Sci., 17, 783–798, https://doi.org/10.5194/ms-17-783-2026, 2026 This study proposes a multi-objective optimization approach tailored for a heavy-duty wave compensation parallel platform, which integrates an artificial neural network (ANN) surrogate model with an enhanced non-dominated sorting genetic algorithm III (NSGA-III). Tue, 28 Jul 2026 21:49:49 +0200 https://doi.org/10.5194/ms-17-759-2026 Trajectory-tracking control of the UR10 manipulator based on radial basis function neural network and super-twisting sliding mode Xiaole Ma, Chenghu Jing, Kun Zhang, Chen Chen, and Yanfeng Wang Mech. Sci., 17, 759–767, https://doi.org/10.5194/ms-17-759-2026, 2026 We developed an improved control method for UR10 robot arms, which typically face issues with unpredictable forces and friction. By combining an online-learning neural network with a robust sliding-mode controller, our approach enables more accurate trajectory tracking and eliminates jitter.  Mon, 27 Jul 2026 21:49:49 +0200