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41st Annual Semiconductor Thermal Measurement, Modeling and Management Symposium, SEMI-THERM 2025

作者： Krings, Ethan Markvicka, Eric University of Nebraska-Lincoln Smart Materials and Robotics Laboratory Department of Mechanical & Materials Engineering LincolnNE68588 United States

ISBN: (纸本)9781735532554

Ultrasound is a safe, noninvasive diagnostic technique used to measure internal structures such as tissues, organs, and arterial and venous blood flow. Skin-mounted wearable ultrasound devices can enable long-term continuous monitoring of patients to provide solutions to critical healthcare needs. However, stretchable ultrasound devices that are composed of ultrasonic transducers embedded in an elastomer matrix are incompatible with existing rigid acoustic matching layers, leading to reduced energy transmission and reduced imaging resolution. Here, a systematic study of soft composites with liquid metal (LM) fillers dispersed in elastomers reveals key strategies to tune the acoustic impedance of soft materials. Experiments supported by theoretical models demonstrate that the increase in acoustic impedance is primarily driven by the increase in density with negligible changes to the speed of sound through the material. By controlling the volume loading and particle size of the LM fillers, we create a material that achieves a high acoustic impedance 4.8 Mrayl, (> 440% increase over the polymer matrix) with low modulus ( 100% strain). When the device was mechanically strained, we observed a small decrease in acoustic impedance ( © 2025 SEMI-THERM Educational Foundation.

关键词： Ultrasonic transducers

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A Multi-Objective Mixed-Integer programming Approach for Supply Chain Disruption Response with Lead-Time Awareness 19

A Multi-Objective Mixed-Integer Programming Approach for Sup...

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19th IEEE International Conference on Automation Science and engineering, CASE 2023

作者： Estrada-Garcia, Juan-Alberto Bi, Mingjie Tilbury, Dawn M. Barton, Kira Shen, Siqian University of Michigan The Department of Industrial and Operations Engineering Ann ArborMI48109 United States University of Michigan The Robotics Department Ann ArborMI48109 United States University of Michigan Robotics Department The Department of Mechanical Engineering Ann ArborMI48109 United States

ISBN: (纸本)9798350320695

Supply chain (SC) risk management is influenced by both spatial and temporal attributes of different entities (suppliers, retailers, and customers). Each entity has given capacity and lead time for processing and transporting products to downstream entities. Under disruptive events, lead time and capacities may vary, which affects the overall SC performance. There have been many studies on SC disruption mitigation, but often without considering lead time and the magnitude of lateness. In this paper, we formulate a mixed-integer programming (MIP) model to optimize SC operations via a routing and scheduling approach, to model the delivery time of products at different entities as they flow throughout the SC network. We minimize a weighted sum of multiple objectives involving costs related to transportation, shortage, and delivery lateness. We also develop a discrete-event simulation framework to evaluate the performance of solutions to the MIP model under lead time uncertainty. Via extensive numerical studies, we show how the attributes of SC entities affect the performance, so that we can improve SC design and operations under various uncertainties. © 2023 IEEE.

关键词： Multiobjective optimization

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Numerical Investigation Effect of the addition of palm fronds on the burning of coal-fired boilers tangentially

Numerical Investigation Effect of the addition of palm frond...

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2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023

作者： Ihsan, Sobar Prabowo Widodo, Wawan Aries Adi Saputra, I Nyoman Agus Institut Teknologi Sepuluh Nopember Graduate Program of Mechanical Engineering Department Surabaya Indonesia University of Islam Kalimantan Maab Indonesia Institut Teknologi Sepuluh Nopember Mechanical Engineering Department Surabaya Indonesia

ISBN: (纸本)9798350309225

Biomass co-firing is an appropriate and cheap solution for achieving renewable energy targets towards net zero emissions because it can reduce the potential environmental impacts associated with burning fossil fuels. CFD simulations were carried out by adding palm frond biomass with a ratio of 5% and 95% LRC coal, which was injected into the boiler combustion furnace. The boiler operational parameters used in this simulation are a coal flow rate of 151.75 tons/hour and an airflow rate of 1184.33 tons/hour on the research subject PLTU Pacitan with a capacity of 315 Mw. The results show that adding palm frond biomass to burning coal changes calorific value, affecting the combustion process's high temperature. However, it has a good impact from the operational side of burning coal particles. © 2023 IEEE.

关键词： Biomass

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MATERIAL, TORQUE, AND STRUCTURAL STUDY OF A FOLDABLE ROBOTIC ARM FOR AERIAL DRONES

MATERIAL, TORQUE, AND STRUCTURAL STUDY OF A FOLDABLE ROBOTIC...

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ASME 2024 International mechanical engineering Congress and Exposition, IMECE 2024

作者： Bingham, Kyler Zakrevski, Christopher Deemyad, Taher Department of Mechanical and Measurement & Control Engineering Idaho State University PocatelloID United States Department of Robotics and Communication Systems Idaho State University PocatelloID United States

ISBN: (纸本)9780791888681

The paper discusses the integration of foldable robotic arms into unmanned aerial vehicles (UAVs), particularly focusing on their application in precision agriculture for fruit picking. The design process, from conceptualization to 3D modeling, ensures the arm's functionality while minimizing interference with the drone's flight dynamics. Material selection, emphasizing the balance between strength and weight, favors Onyx, a nylon blend reinforced with carbon fiber, and the honeycomb infill pattern for its exceptional mechanical properties. Torque analysis confirms the arm's manageable impact on UAV stability. The research underscores the potential of foldable robotic arms to enhance UAV capabilities in various tasks, offering insights into their broader applicability beyond agriculture. It contributes to UAV design and robotics by addressing challenges in integrating functional accessories, emphasizing the importance of material selection and structural design in optimizing UAV performance. © 2024 by ASME.

关键词： Drones

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LOOKING BEYOND SELF-REPORTED COGNITIVE LOAD: INVESTIGATING THE USE OF EYE TRACKING IN THE STUDY OF DESIGN REPRESENTATIONS IN engineering DESIGN 24

LOOKING BEYOND SELF-REPORTED COGNITIVE LOAD: INVESTIGATING T...

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24th International Conference on engineering Design, ICED 2023

作者： Cass, Madison Prabhu, Rohan Neuroscience Program Lafayette College United States Department of Mechanical Engineering Lafayette College United States

Designers are experiencing greater mental demands given the complexity of design tools, necessitating the study of cognitive load in design. Researchers have identified task- and designer-related factors that affect cognitive load;however, these studies primarily use self-reported measures that could be inaccurate and incomplete. Little research has tested the accuracy and completeness of self-reported measures and we aim to explore this gap. Towards this aim, we seek to answer the question: How does cognitive load vary based on the different design representations used, and do these differences depend on the measure of cognitive load? From our results, we see that the design representations vary in the range of cognitive load experienced by designers when using them. Moreover, this role of the range of cognitive load variance was observed given our use of pupil diameter. These findings call for the use of a multi-modal approach for measuring cognitive load with the combined use of subjective (e.g., self-report) and objective measures (e.g., physiological measures), as well as the use of both retrospective (e.g., self-report) and concurrent measures (e.g., physiological measures). © The Author(s), 2023. Published by Cambridge University Press.

关键词： Eye tracking

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Droplet-based Microfluidic Platform for High-throughput Formation of Multicellular Spheroids

Droplet-based Microfluidic Platform for High-throughput Form...

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2023 Annual IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2023

作者： Zhan, Zhen Xie, Hanhan Hu, Chengzhi Southern University of Science and Technology Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineering Shenzhen China

ISBN: (纸本)9798350344486

Cell culture in vitro is essential for drug screening, disease modeling, and stem cell-related research. Previous studies have indicated that two-dimensional (2D) cellular environments can significantly differ from physiological cells in vivo, leading to a high failure rate when translating therapeutics developed in 2D cell models to clinical applications. Therefore, there is a strong focus on developing three-dimensional (3D) cell culture techniques that more closely mimic in vivo cell microenvironments. These techniques hold great promise for enhancing precision in drug discovery and tissue regeneration. In this study, we introduce a novel microfluidic technique that utilizes droplets to fabricate hydrogel microspheres, each exhibiting a unique internal morphology suitable for 3D cell culture applications. Specifically, we employed this method to cultivate human umbilical vein endothelial cells (HUVECs) within the interior canals of the hydrogel microspheres, forming monolayers on the surfaces of the spiral canals. This setup effectively mimicked the configurations of native blood vessels. Furthermore, we successfully demonstrated the fabrication of heterogeneous spheroids with spiral blood vessel lumens, which can be utilized to construct spiral vascularized bone tissue. © 2023 IEEE.

关键词： Microfluidics

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Modeling the Dynamic Response of a Light-Driven Liquid Crystal Elastomer Fiber/Baffle/Spring-Coupled System

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Journal of Applied Mechanics 2024年第12期91卷 031027页

作者： Rayman, Bradley Jawad, Badih Vejdani, Hamid https://***/04d52ej85Lawrence Technological University Bio-Inspired Robotics and Dynamics (BIRD) Lab Department of Mechanical Robotics and Industrial Engineering Lawrence Technological University Southfield MI 48075 Department of Mechanical Robotics and Industrial Engineering Lawrence Technological University Southfield MI 48075 Bio-Inspired Robotics and Dynamics (BIRD) Lab Department of Mechanical Robotics and Industrial Engineering Lawrence Technological University Southfield MI 48075

In this paper, we presented the design, integration, and experimental verification of a flapping wing apparatus. The purpose for this apparatus is to provide a framework to study the applicability of various types of sensors on flapping wings in the presence of forward speed. This work is inspired by the discoveries of mechanosensory hairs on insect wings that perform like strain-gauge sensors. To design the apparatus, we started by kinematic analysis of a crank-slider mechanism to actuate the wings. After that, we constructed the equations of motion of the entire system to find the proper gear ratio, motor properties, and other geometric dimensions. For the aerodynamic modeling, we used a quasi-steady formulation and presented a closed-form solution for the aerodynamic torque. Then, we explained the integration process and manufacturing of the main parts and presented two prototypes for the apparatus. At the end, we showed the final constructed versions of the apparatus and presented the experimental response and compared them with the simulation.

关键词： Motors Design mechanism design Wings aerodynamics robot design robot kinematics

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An Intuitive Six-DOF Admittance Control Method for Human-Robot Collaboration

An Intuitive Six-DOF Admittance Control Method for Human-Rob...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Meng, Yuming Jiang, Xin Brelen, Marten Erik Liu, Yun-Hui School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China The Chinese University of Hong Kong Department of Ophthalmology and Visual Sciences Hong Kong Hong Kong T Stone Robotics Institute The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665481090

Admittance control is a well-established frame-work for enhancing human-robot collaboration. Although it is widely applied in translational tasks, the a six-degree-of-freedom (6-DOF) admittance control involving the use of a handle in both translational and rotational spaces is rarely addressed in the literature. This paper introduces 6-DOF admittance control method that utilizes a handle equipped with a force/torque sensor mounted on the robotic arm to intuitively farme the operation of the end effector. By transforming the force/torque applied to the handle into the operation of the end-effector while preserving the operator's intent, intuitive 6-DOF admittance control is achieved. To eliminate the operational risks associated with the uncertainty of the hand's contact point on the handle, uncertainty shielding is implemented, ensuring stable force/torque calculations. The effectiveness of the proposed 6-DOF admittance control method is validated through an assembly operation and a specific trajectory operation. © 2024 IEEE.

关键词： End effectors

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Research of the operation of the turnstile support-fastening device during the transportation of a long-dimensional heavy load 63

Research of the operation of the turnstile support-fastening...

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63rd International Conference on Vibroengineering

作者： Musayev, Janat Solonenko, Vladimir Zhauyt, Algazy Zhunisbekov, Seitbek Smailova, Gulbarshyn Buzauova, Toty Department of Highway Engineering Academy of Logistics and Transport Almaty Kazakhstan Department of Electronics and Robotics Almaty University of Power Engineering and Telecommunications Almaty Kazakhstan Department of Construction and Building Materials Satbayev University Almaty Kazakhstan Department of Mechanical Engineering Satbayev University Almaty Kazakhstan Department of Technological Equipment Mechanical Engineering and Standardization Karaganda Technical University Karaganda Kazakhstan

The article analyzes the motion of a wheelset along a path of unequal length with shaft wear of the rails. The authors have studied the influence of an external disturbing force on the parametric system "wheel-rail". The considered problem is solved on the basis of a mathematical model of interaction of a pair of wheels and an unequal rail, taking into account the additive effect of unequal stiffness on a rail vehicle. It is shown that taking into account the unequal elasticity of the track in the longitudinal direction allows to determine more precisely the resonance regions and to evaluate the decrease or increase of the acceleration level and the amplitudes of the impact of the unsprung mass of the rail vehicle. Copyright © 2023 Janat Musayev, et al.

关键词： Vibration analysis

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Fall Prediction for Bipedal Robots: The Standing Phase

Fall Prediction for Bipedal Robots: The Standing Phase

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IEEE International Conference on robotics and Automation (ICRA)

作者： M. Eva Mungai Gokul Prabhakaran Jessy W. Grizzle Mechanical Engineering Robotics Robotics Department University of Michigan Ann Arbor MI USA

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

This paper presents a novel approach to fall prediction for bipedal robots, specifically targeting the detection of potential falls while standing caused by abrupt, incipient, and intermittent faults. Leveraging a 1D convolutional neural network (CNN), our method aims to maximize lead time for fall prediction while minimizing false positive rates. The proposed algorithm uniquely integrates the detection of various fault types and estimates the lead time for potential falls. Our contributions include the development of an algorithm capable of detecting abrupt, incipient, and intermittent faults in full-sized robots, its implementation using both simulation and hardware data for a humanoid robot, and a method for estimating lead time. Evaluation metrics, including false positive rate, lead time, and response time, demonstrate the efficacy of our approach. Particularly, our model achieves impressive lead times and response times across different fault scenarios with a false positive rate of 0. The findings of this study hold significant implications for enhancing the safety and reliability of bipedal robotic systems.

关键词： Torso Reviews Prediction algorithms Hardware Classification algorithms Safety Time factors

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