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检索条件"丛书名=Mechanisms and Machine Science"

共 3269 条记录，以下是641-650 订阅

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Development of Second Prototype of Magnetorheological Fluid Actuator for Fine Haptic Interfaces 8th

Development of Second Prototype of Magnetorheological Fluid ...

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8th IFToMM International Symposium on Robotics and Mechatronics (ISRM)

作者： Kikuchi, Takehito Ikeda, Asaka Matsushita, Rino Higashiguchi, Asahi Abe, Isao Oita Univ Fac Sci & Technol Dannoharu 700 Oita Japan Oita Univ Grad Sch Engn Dannoharu 700 Oita Japan

ISBN: (纸本)9783031598906;9783031598883;9783031598876

Magnetorheological fluids (MRFs) are functional fluids that exhibit rapid and repeatable rheological responses to external magnetic fields. An MRF has been used to develop a haptic device with fine haptic information for teleoperative surgical systems. To achieve this goal, we developed several types of compact MRF clutches for haptics (H-MRCs) and applied them to a twin-driven MRF actuator (TD-MRA). In addition, the three TD-MRAs were combined with a delta-type parallel linkage and constituted a delta-type haptic interface. A previous study investigated the basic structure and kinematic analysis of this haptic interface. However, a method for estimating the torque performance of H-MRCs has not yet been reported. Such techniques are necessary when selecting an MRF to improve the basic performance of a device. Therefore, we measured and modeled the rheological properties of the sample material. Next, the torque performance of the H-MRC was estimated using this model and the results of electromagnetic analyses. In addition, we improved the structure of the TD-MRA to minimize undesirable torque ripples. Consequently, the longitudinal metric decreased by 11.7% compared to the first prototype. In addition, except for the case of the lowest current input, the coefficients of variance of torque were successfully reduced by half owing to the redesign of the structure.

关键词： Haptic interface Mechanism Magnetorheological fluid

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Design Problems and Requirements for Assisting Devices 9th

Design Problems and Requirements for Assisting Devices

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9th European Conference on Mechanism science (EuCoMeS)

作者： Kotov, Sergei Ceccarelli, Marco Russo, Matteo Univ Roma Tor Vergata Dept Ind Engn Via Politecn 1 I-00133 Rome Italy Univ Roma Tor Vergata Dept Ind Engn LARM2 Lab Robot Mechatron Via Politecn 1 I-00133 Rome Italy

ISBN: (纸本)9783031672972;9783031672958;9783031672941

This paper presents an analysis of problems and requirements for designing structure and operation of elbow motion-assisting devices. Discussion outlines features that can be extended for solutions dedicated to elderly people in exercising and rehabilitation. Recovery and health conditions of the elbow are fundamental for arm efficiency. An example illustrates the application of the reported analysis.

关键词： Assistive device Elbow motion Rehabilitation robotics Cable-driven parallel manipulator

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A Preliminary Conceptualization of an Observer Based on a Sliding-Mode Approach for Vehicle Condition Monitoring Without Tire-Specific Modelling 5th

A Preliminary Conceptualization of an Observer Based on a Sl...

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5th International Conference of International-Federation-for-the-Promotion-of-Mechanism-and-machine-science Italy (IFToMM Italy)

作者： Marotta, Raffaele Strano, Salvatore Terzo, Mario Tordela, Ciro Univ Naples Federico II Naples Italy

ISBN: (纸本)9783031645716;9783031645693;9783031645686

In the field of vehicle control systems, the development of strategies for estimating variables indicative of vehicle performances and tire-road conditions is fundamental for ensuring the safety and stability of road vehicles. Typically, the sideslip angle coupled with the lateral tire-road forces are employed for improving control systems through their identification in real-time with model-based estimators, such as Kalman Filters. A sliding-mode observer, specifically a super-twisting one, for making vehicle and tire-road condition monitoring is presented in this work. The observer design is obtained through a vehicle model for capturing lateral and yaw dynamics, avoiding the employment of specific tyre models, which require fine-tuning operations related to their parameters after executing expensive experimental tests. The proposed observer demonstrates to be a reliable alternative to Kalman Filters, widely employed in the automotive field.

关键词： Vehicle dynamics Sideslip angle Tire-road contact forces Sliding mode Observers Nonlinear estimation

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Early Detection of Gearbox Failures in Wind Turbines Using Artificial Neural Networks and SCADA Data 5th

Early Detection of Gearbox Failures in Wind Turbines Using A...

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5th International Conference of International-Federation-for-the-Promotion-of-Mechanism-and-machine-science Italy (IFToMM Italy)

作者： Puruncajas, Bryan Castellani, Francesco Vidal, Yolanda Tutiven, Christian Escuela Super Politecn Litoral ESPOL Fac Mech Engn & Prod Sci FIMCPMechatron Engn Campus Gustavo Galindo Km 30-5 Via Perimetral Guayaquil Ecuador Univ Politecn Cataluna Dept Math Escola Engn Barcelona Est Control Data & Artificial Intelligence Campus Diagonal Besos CDB Barcelona 08019 Spain Univ Perugia Dept Engn Via G Duranti 93 I-06125 Perugia Italy Univ Guayaquil Sch Ind Engn Ave Delta N-A & Ave Kennedy Guayaquil Ecuador

ISBN: (纸本)9783031645716;9783031645693;9783031645686

This paper explores the application of artificial neural networks (ANNs) for the early detection of gearbox failures in wind turbines, using operational SCADA data for predictive analysis. Gearbox failures, which can significantly disrupt wind turbine operations, are critical to maintaining high reliability and efficiency in wind farms. The authors propose a methodology that involves the creation of a normal behavior model using ANNs, trained with healthy condition data from selected SCADA variables closely related to gearbox operations. This model aims to predict deviations in gear bearing temperatures, an early indicator of potential failures. The research uses comprehensive SCADA data spanning from January 2018 to February 2022, from a wind farm comprising multiple turbines. The study ensures the robustness of the model through a meticulous process of data cleaning, normalization, and splitting into training, validation, and testing sets. The ANN model is detailed, featuring two hidden layers and focusing on eleven key variables identified as critical for accurate fault prediction. The results indicate that the model can successfully detect anomalies in gear bearing temperatures several months before a failure occurs, thus providing valuable lead time for maintenance interventions. This early detection capability is underscored by a case study of a gearbox failure in one of the turbines, where the proposed ANN model alerted the imminent issue months in advance of the actual failure.

关键词： SCADA Gearbox failure Normal behavior model Artificial neural network

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Development of a Novel Reconfigurable Omnidirectional Robot for Precision Agriculture in Greenhouses 8th

Development of a Novel Reconfigurable Omnidirectional Robot ...

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8th IFToMM International Symposium on Robotics and Mechatronics (ISRM)

作者： Quaglia, Giuseppe Colucci, Giovanni Botta, Andrea Tagaliavini, Luigi Politecn Torino DIMEAS Dept Mech & Aerosp Engn Corso Duca Abruzzi 24 I-10129 Turin Italy

ISBN: (纸本)9783031598906;9783031598883;9783031598876

Precision agriculture is a recent approach used in the primary sector aimed at optimizing agricultural production at various levels. This paper introduces the preliminary design of AGRIMARO, a novel omnidirectional mobile robot tailored for precision agriculture tasks in greenhouses or relatively small fields. The robot features three swerve-drives units, i.e., independently steered hub motors, for agile omnidirectional movement and incorporates a straight-line mechanism to enable the reconfiguration of the robot's footprint, allowing for adjustable track widths between 800 mm and 1200 mm. This design, thanks to its flexible and modular architecture, facilitates versatile applications, making it suitable for diverse monitoring and agricultural tasks in protected crop cultivation.

关键词： Mobile robot Precision agriculture Greenhouses Omnidirectional platform Reconfigurable mechanism

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DMTL: An Open-Set Source Camera Identification Model Based on Dual-Margin Triplet Loss 30th

DMTL: An Open-Set Source Camera Identification Model Based o...

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30th International Conference on Computational and Experimental Engineering and sciences, ICCES 2024

作者： Fan, Xiaohan Lu, Zhigao You, Weike Zhouo, Linna Beijing University of posts and Telecommunications Beijing China University of International Relations Beijing China

ISBN: (纸本)9783031829062

Information about an image’s source camera model is crucial in many forensic investigations, including protecting intellectual property and identifying internet users. Challenges arise when dealing with unknown camera models, which often exhibit only subtle feature differences-a task that extends beyond the reach of conventional CMI techniques. While state-of-the-art methods have achieved notable advancements, they tend to struggle with effectively managing difficult samples that contain considerable outliers, leading to significant performance degradation in complex scenarios. To address this issue, we propose a novel optimization approach, the Dual-Margin Triplet Loss (DMTL), to enhance the process of determining whether two images are from the same camera model in open-set scenarios. Our method extends the original triplet loss by integrating two additional margin constraints: a positive intra-class margin for intra-class compactness and a negative intra-class margin for inter-class separability. The dynamic collaboration of these margins enables DMTL to create clearer category boundaries and more discriminative embedding representations. Extensive experiments conducted on the Dresden and VISION datasets show that the DMTL method outperforms existing methodologies in terms of authentication accuracy for both known and unknown camera models. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Authentication

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Application of Deep Learning Algorithm in Zebrafish Fin Extraction During Maneuvering 30th

Application of Deep Learning Algorithm in Zebrafish Fin Extr...

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30th International Conference on Computational and Experimental Engineering and sciences, ICCES 2024

作者： Gao, Mengchen Lin, Lifan Hao, Jiexi Xue, Jian Yu, Yongliang University of Chinese Academy of Sciences Beijing101408 China Harbin Institute of Technology Weihai264200 China

ISBN: (纸本)9783031829062

Fins play an important role in zebrafish maneuvering;However, their action mechanism is still poorly understood. Therefore, we use a conjunctive method of maneuvering photography and deep learning to complete the image reconstruction of zebrafish pectoral and caudal fins by improving the YOLO model and the U-Net model. By training on 16,000 images and testing on 700 images, the final mDice values achieved for fin reconstruction were 95.91% for the left pectoral fin, 95.94% for the right pectoral fin, and 94.23% for the caudal fin. Based on this, this paper portrays the deformation characteristics of zebrafish's left and right pectoral and caudal fins during maneuvering. In the range of 9.01° to 50.68° of zebrafish turning angle, the average areas of the left and right pectoral fins were 8.40 mm2 and 8.85 mm2, and the average change of the open angles was 29.97° and 24.38°. When the zebrafish was turning counterclockwise, the change in the open angle of the left pectoral fin was more obvious, and the average area of extension was smaller than that of the right pectoral fin. Conversely, the left fin is larger than the right fin. During rotation, the open angle of the zebrafish caudal fin does not change significantly, but its mean area increases with the rotation angle. In summary, the results of this paper have a positive impact on the mechanism of zebrafish fins in fast movements, which can be studied in depth. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Invertebrates

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Augmented Reality Guided 3D Printed Robotic Arm Assembly: A Comprehensive Framework for Interactive Learning 33rd

Augmented Reality Guided 3D Printed Robotic Arm Assembly: A ...

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33rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)

作者： Comes, Radu Buna, Zsolt Levente Rozsos, Raul Silviu Pop, Grigore Marian Tech Univ Cluj Napoca Dept Design Engn & Robot Cluj Napoca 400641 Romania

ISBN: (纸本)9783031592591;9783031592577;9783031592560

Augmented reality (AR) has emerged as a powerful tool for enhancing learning experiences, particularly in STEM fields like mechanical engineering. The study involves the development of an AR-enriched learning material that complemented a traditional project guide for designing a 5-degree-of-freedom robotic arm. The AR framework application employs Vuforia, a powerful tracking system, to seamlessly overlay virtual 3D models onto physical 3D printed parts. This enables students to visualize and interact with their designs in a realistic and engaging manner, enhancing their understanding of the design process and the physical properties of their creations. The integration of AR real-time tracking into the assembly of 3D-printed robotic arms has demonstrated its potential to enhance the learning experience for students in mechanical engineering. The ability to visualize and interact with 3D models in real-time can significantly improve their understanding of the design and assembly process, leading to improved learning outcomes.

关键词： Augmented reality Interactive learning 3D printing Computer-aided design STEM education

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Estimating the Position of Surgical Needle Tips Hidden in Organs Using Generative Adversarial Networks 5th

Estimating the Position of Surgical Needle Tips Hidden in Or...

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5th International Conference of International-Federation-for-the-Promotion-of-Mechanism-and-machine-science Italy (IFToMM Italy)

作者： Memida, Shoko Miura, Satoshi Tokyo Inst Technol Tokyo Japan

ISBN: (纸本)9783031645716;9783031645693;9783031645686

Postoperative complications in surgery are particularly prevalent in laparoscopic procedures, which are difficult for physicians to perform. One complication that is related to the surgical procedure itself is anastomotic leakage, in which the sutures do not fully attach and the contents leak out. A factor that contributes to anastomotic leakage is uneven needle suture spacing. Once the needle is inserted, the physician relies on intuition and experience to carry it through to the needle exit, which makes it difficult to maintain uniform suture spacing. For this reason, to reduce the risk of anastomotic leakage, it is effective to visualize the position of the needle tip in the organ. Therefore, in this study, we constructed a model to visualize the tip of a surgical needle hidden inside an organ to improve surgical accuracy. Using the model, we tested the inference of images and achieved a real-time speed of 33.4 fps, and the average estimated misalignment of the needle tip was 1.03 mm, which is less than 1.8 mm (10% of the total needle length). Thus, we showed that the proposed model effectively estimated needle tips hidden in organs. Therefore, we expect that this model will lead to improved surgical accuracy.

关键词： Biomedical Engineering Surgical Needles Anastomotic Leakage Position Estimation Generative Adversarial Networks Deep Learning

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On the Behaviour of Planetary Gear Sets with an n Number of Planets 9th

On the Behaviour of Planetary Gear Sets with an n Number of ...

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9th European Conference on Mechanism science (EuCoMeS)

作者： Sanchez-Espiga, Javier Iglesias, Miguel Diez-Ibarbia, Alberto Fernandez-del-Rincon, Alfonso Viadero, Fernando Univ Cantabria Dept Ingn Estruct & Mecan Santander 39005 Spain

ISBN: (纸本)9783031672972;9783031672958;9783031672941

This work focuses on the impact that the sequential mesh phasing, together with the number of planets, have in the performance of a planetary gearset. More precisely, in the context of this work, the indicative parameter for the performance of the transmission is its load sharing. Given the geometrical implications that the mesh phasing has in the contact among either sun and planets or planets and ring, this translates in a drastic change in the transmission's load sharing and, therefore, in its behaviour and probability of failure. As a result of the geometrical design of the transmission, the load sharing will present inherent imbalances beyond the presence of manufacturing errors. Furthermore, floatability has been included in the sun support in order to increase the realism in the modelling.

关键词： Mesh phasing Planetary gear set Number of planets Load sharing

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