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International Conference on mechanical and Intelligent Manufacturing Technologies (ICMIMT)

作者： M. Pita T. Gaonnwe Department of Mechanical Bioresource and Biomedical Engineering University of South Africa Johannesburg South Africa

ISBN: (数字)9798350362664

ISBN: (纸本)9798350362671

Polystyrene sheets are a common sight in many different environments. From protective packaging for in-home deliveries of more delicate items to hygienic packaging for fast food or insulation on construction sites. The paper investigates the mechanical properties of reinforced polystyrene by fibreglass, epoxy, and hardener. Three samples were developed and differ in the number of fibre layers used on both sides of polystyrene (1 layer, 2 layers, and 3 layers). Compression, impact, weight, and bending tests were performed on all samples following ASTM D3574, ASTM D6110, and ASTM E290 standards. The results show that the material weight gradually increased from 120 to 324 grams as three layers were added. Compressive strength increased by 33% from one layer on both sides to two layers and by 23,82% with three layers. The modulus of elasticity of the material increased by 39,55 % from one layer to two layers. The energy absorption increases by 50% from one layer of fibreglass on both sides to the second layer of fibre and by 40% from two layers on both sides to the third layer. The maximum bending stress decreased by 14.47% when the second layer of fibreglass was added to reinforce the material on both surfaces, and it decreased to 15.81% when the third layer of fibreglass and matrix was applied.

关键词： Powders Absorption Bending Packaging Elasticity Automobiles Stress

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VELOCITY DEPENDENT PROCESS DAMPING CALIBRATION IN MILLING 39

VELOCITY DEPENDENT PROCESS DAMPING CALIBRATION IN MILLING

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39th Annual Meeting of the American Society for Precision engineering, ASPE 2024

作者： Corson, Gregory Tyler, Christopher Schmitz, Tony Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville KnoxvilleTN37996 United States Manufacturing Science Division Oak Ridge National Laboratory Oak RidgeTN37830 United States

ISBN: (纸本)9781887706612

Process damping is a phenomenon typically attributed to the tool's relief face contacting and rubbing the machined surface. This effect can dissipate energy and provide increased stable axial depths of cuts, especially at low spindle speeds. This paper describes a method to calibrate the process damping parameter for a selected combination of workpiece material and tool geometry. After calibrating the process damping parameter, process stability and surface location error (SLE) are validated. Good agreement is shown between the predicted stability and SLE in finish machining of an additively manufactured (AM) thin wall. © 2024 Proceedings - ASPE 2024 Annual Meeting. All rights reserved.

关键词： Damping

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In vivo printing of growth factor-eluting adhesive scaffolds improves wound healing

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Bioactive Materials 2022年第2期7卷 296-308页

作者： Kristo Nuutila Mohamadmahdi Samandari Yori Endo Yuteng Zhang Jacob Quint Tannin ASchmidt b Ali Tamayol Indranil Sinha Division of Plastic Surgery Brigham and Women’s HospitalHarvard Medical SchoolBostonMA02115USA Department of Biomedical Engineering University of ConnecticutFarmingtonCT06030USA Department of Mechanical and Materials Engineering University of Nebraska-LincolnLincolnNE68588USA

Acute and chronic wounds affect millions of people around the world,imposing a growing financial burden on patients and *** the application of current wound management strategies,the physiological healing process is disrupted in many cases,resulting in impaired wound ***,more efficient and easy-to-use treatment modalities are *** this study,we demonstrate the benefit of in vivo printed,growth factor-eluting adhesive scaffolds for the treatment of full-thickness wounds in a porcine model.A custom-made handheld printer is implemented to finely print gelatin-methacryloyl(GelMA)hydrogel containing vascular endothelial growth factor(VEGF)into the *** vitro and in vivo results show that the in situ GelMA crosslinking induces a strong scaffold adhesion and enables printing on curved surfaces of wet tissues,without the need for any *** scaffold is further shown to offer a sustained release of VEGF,enhancing the migration of endothelial cells in *** analyses demonstrate that the administration of the VEGF-eluting GelMA scaffolds that remain adherent to the wound bed significantly improves the quality of healing in porcine *** introduced in vivo printing strategy for wound healing applications is translational and convenient to use in any place,such as an operating room,and does not require expensive bioprinters or imaging modalities.

关键词： In vivo printing Handheld bioprinter Adhesive scaffolds GelMA VEGF Wound healing

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Plant Maintenance Budgeting Prioritization Based on Reliability Prediction of Repairable System 5th

Plant Maintenance Budgeting Prioritization Based on Reliabil...

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5th International Conference on mechanical engineering, ICOME 2021

作者： Setia, Fandi Wibawa, Agus Yuniarto, Muhammad Nur Graduate Program of Mechanical Engineering Institut Teknologi Sepuluh Nopember Surabaya Indonesia PT Pembangkitan Jawa Bali Jl. Ketintang Baru No. 11 Surabaya60231 Indonesia Department of Mechanical Engineering Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia

ISBN: (纸本)9789811908668

A reliability prediction study has been carried out using failure data from the gas turbine system at a combined cycle power plant in Indonesia. From this study, the prediction value of the equipment reliability of the gas turbine subsystem was obtained along with the value of Failure Cost (FC), Component Risk (CR), and Maintenance Cost (MC) which is then processed further to produce a Benefit to Cost Ratio (BCR) which is useful for preparing priority rankings for the allocation of very limited maintenance budgets. This research also leads to a conclusion that the more the failures experienced by the equipment in one observation period, the lower the predictive value of its reliability. In addition, it is also discovered the fact that subsystems with the same number of failures but with different times of failure will produce different reliability values. And lastly, the subsystem risk rating obtained from Component Risk (CR) does not necessarily become a budget priority rating;this rating can change when the risk rating is combined with Maintenance Cost (MC) to produce a more objective budget priority rating with broader considerations. The methodology that combines the prediction of equipment reliability with budget prioritization in this research can also be used in other power generation plants that predominantly manage physical assets in order to obtain optimal asset life cycle management without compromising the performance of the equipment in the power plant due to limited maintenance budgets. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Gas turbines

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Armor Guard: Revolutionizing Motorcycle Safety with Smart Helmet

Armor Guard: Revolutionizing Motorcycle Safety with Smart He...

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Computing, Sciences and Communications (ICCSC), International Conference on

作者： S.B. Abitha R. Santhoshi B B Sangameswaran Kondooru Shivashanker S. Balakrishnan Tharun V Department of Medical Electronics Velalar College of Engineering and Technology Erode India Department of Biomedical Engineering Mahendra Institute of Technology. Department of Biomedical Engineering KSR Institute for Engineering and Technology. Department of Electrical Engineering SKN Sinhgad College of Engineering Pandharpur Maharashtra India Department of Mechanical Engineering Nandha Engineering College Erode India

ISBN: (数字)9798350353648

ISBN: (纸本)9798350353655

Motorcycle accidents continue to be a significant concern worldwide, with riders facing various risks on the road. In response to these challenges, The design and development of a smart helmet system, intended to improve rider safety and encourage responsible riding, is presented in this study. The smart helmet integrates cutting-edge technologies and innovative features to provide a comprehensive safety solution for motorcycle riders. Key functionalities of the smart helmet include advanced navigation assistance, seamless call management, proactive accident detection, real-time alcohol detection, fog removal, and backlight indicators. These features are designed to improve visibility, prevent accidents, and ensure compliance with safety protocols. The smart helmet has a safety feature that prevents the vehicle from turning on unless the person wearing the helmet follows specific safety requirements. Additionally, an LED stripe integrated into the helmet's visor assists in fog removal, while a backlight indicator at the back of the helmet enhances visibility to fellow riders. Testing and evaluation of the smart helmet system demonstrate its functionality, reliability, and effectiveness in real-world scenarios. Response time testing confirms the system's prompt detection and response to various events, such as helmet activation and accident detection. The research also identifies areas for future work, including the integration of advanced sensor technologies, enhanced communication and connectivity, AI and machine learning applications, and improvements in energy efficiency and user experience.

关键词： Head Protocols Roads Motorcycles Real-time systems Safety Time factors Reliability Accidents Testing

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SURFACE FINISH PREDICTION OF MODULATED TOOL PATH OF TAPERED WORKPIECES 39

SURFACE FINISH PREDICTION OF MODULATED TOOL PATH OF TAPERED ...

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39th Annual Meeting of the American Society for Precision engineering, ASPE 2024

作者： Garcia, Ryan A. Schmitz, Tony L. Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville KnoxvilleTN37996 United States Manufacturing Demonstration Facility Oak Ridge National Laboratory Oak RidgeTN37830 United States

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Advanced Obstacle Avoidance in Walking Aids: Overcoming the Challenges of Low-Lying Obstacles with Deep Learning

Advanced Obstacle Avoidance in Walking Aids: Overcoming the ...

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Recent Advances in Systems Science and engineering (RASSE), IEEE International Conference on

作者： Yu-Shao Kao Shih-Ting Wang I-Hsum Li Department of Mechanical and Electro-Mechanical Engineering Tamkang University Taiwan Department of Mechanical Engineering National Chung Hsing University Taiwan Undergraduate Program of Intellectual Creativity Engineering National Chung Hsing University Taiwan

ISBN: (数字)9798331528263

ISBN: (纸本)9798331528270

An autonomous walking aid is a type of Autonomous Mobile Robots (AMRs) designed to navigate and perform tasks independently. In this paper, we introduce an innovative obstacle avoidance approach for walking aids, with a particular emphasis on avoiding non-stereotypical obstacles such as water puddles. Traditional methods relying on LiDAR, depth sensors, or cameras often struggle with low-lying obstacles due to challenges in detecting reflective surfaces and interpreting complex visual data. To overcome these limitations, we developed two deep learning-based network architectures: the Single-Image Action Network (SIAN) and the Sequence-to-Action Network with Feedback Network (SAN-FN). The first architecture processes a single image to generate an action sequence for obstacle avoidance, while the second architecture takes an image sequence and feedback from wheel velocities to infer real-time action responses. In addition, we employed Gazebo to create a 3D simulation environment and gather training data for deep learning networks, significantly reducing the cost and effort associated with data collection. The first approach achieved a 100 % success rate in simulated obstacle avoidance tests involving puddles, while the second approach demonstrated a 76% success rate. This study highlights the significant potential of deep learning in enhancing the obstacle avoidance capabilities of walking aids, particularly in the context of challenging obstacles like water puddles.

关键词： Legged locomotion Deep learning Training Visualization Three-dimensional displays Wheels Training data Real-time systems Collision avoidance Surface treatment

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Optimal Hyperbolic Tangent Model for Outer Bypass MR Damper with Meandering Type Valve

Optimal Hyperbolic Tangent Model for Outer Bypass MR Damper ...

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International Conference on Technology, Informatics, Management, engineering, and Environment (TIME-E)

作者： R. Lullus Lambang GH Fitrian Imaduddin Budi Santoso Ubaidillah Student of Mechanical Engineering Doctoral Program Faculty of Engineering Universitas Sebelas Maret Surakarta Indonesia Staff of Mechanical Engineering Department Faculty of Engineering Universitas Sebelas Maret Surakarta Indonesia

ISBN: (数字)9798350364750

ISBN: (纸本)9798350364767

This research discusses the application of the hyperbolic tangent model for an outer bypass MR damper with a meandering valve, which was developed by one of the authors. The hyperbolic tangent model consists of six parameters. In this study, parameter reduction was carried out using local and global sensitivity analysis, and a parameter identification strategy based on Particle Swarm Optimization (PSO) was employed. The objective function is the relative error between the model's force and the force obtained from experiments with an outer bypass MR damper prototype featuring a meandering valve. The sensitivity analysis identifies an optimal hyperbolic tangent model with two sensitive parameters, while the remaining parameters are determined to be constant. The results show an improvement in accuracy, with the optimal hyperbolic tangent model reducing the error from 8.06 % to 7.1 %. This indicates that the optimal hyperbolic tangent model can be obtained by applying the sensitivity analysis method developed in this research.

关键词： Analytical models Accuracy Parameter estimation Sensitivity analysis Force Prototypes Valves Hypercubes Shock absorbers Particle swarm optimization

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Model-Based Estimation of Active and Passive Muscle Forces Using MRE in Forearm Muscles During 2-DOF Wrist Tasks

Model-Based Estimation of Active and Passive Muscle Forces U...

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IEEE/RAS-EMBS International Conference on biomedical Robotics and Biomechatronics (BioRob)

作者： Cody A Helm Fabrizio Sergi Department of Biomedical and Mechanical Engineering Human Robotics Laboratory University of Delaware Newark DE

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

Magnetic resonance elastography (MRE)-based muscle force estimation methods have been proposed to estimate individual muscle forces based on measurements of shear wave speed and joint torque in multiple postures. To estimate both the slope and offset parameters of the relationship between shear wave speed and muscle force, it is necessary to collect measurements in a plethora of postures in case of substantial muscle redundancy. However, anisotropic MRE requires a structural and diffusion-tensor imaging scan in each posture, which is infeasible given the time constraints of MRI imaging. The objectives of this work were to develop a muscle force estimator with sufficient accuracy that would only require a limited set of postures, and to evaluate its effectiveness under a variety of measurement conditions. We developed a novel MRE-based muscle force estimator, which decouples shear wave speed into its active and passive components and solves for the slope and offset parameters, independently. We assessed the effectiveness of the proposed estimator under different simulated measurement conditions, with varying levels of noise, and compared it to the original MRE-based estimator. The proposed estimator results in a reduction in the estimation error for the offset parameter, for all muscles, without significant degradation in the estimation error for the slope parameter. However, the proposed muscle force estimator does not improve the goodness-of-fit or the cross-validation error compared to the original estimator. In conclusion, the proposed MRE-based muscle force estimator improves the estimation of muscle-specific parameters and may yield increased muscle force estimation performance.

关键词： Wrist Estimation error Force measurement Torque Force Muscles biomedical measurement Time measurement Torque measurement Time factors

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Implementation of a PID Controller using Online Tuning Applied to a Mobile Robot Obstacle Following/Avoidance

Implementation of a PID Controller using Online Tuning Appli...

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Argentine Conference on Electronics (CAE)

作者： M. A. Pastrana L. H. Oliveira D. A. Mendes Douglas. L. Silva Jose Mendoza-Peñaloza Daniel M. Muñoz Department of Mechanical Engineering Mechatronics Graduate Program Faculty of Gama Electronics Engineering Undergraduate Program University of Brasilia Brasilia DF Brazil

The implementation of a bioinspired PID-based controller with online tuning capabilities is developed for obstacle following/avoidance of a nonholonomic mobile robot. An innovative mixture of the conventional PID controller and particle swarm optimization (PSO), which has a strong capability of adaptation across unknown scenarios, reduced objective error, brings us a novel online tuning methodology that can derive optimal controller parameters for a given scenario. It is appropriate for a kind of plant without prior knowledge or established mobile robot model. Computer simulation for obstacle following/avoidance is carried out in four different scenarios using the CoppeliaSim software and the EVA mobile robot platform. The effectiveness of the proposed control algorithm is demonstrated trough the simulation experiment, which shows its superior performance in the training scenario, including an overshoot of 20.1 %, a settling time of 10 seconds, and a steady-state error of 0.76%.

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