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2014 2nd International Conference on Materials Science,Machinery and Energy engineering(MSMEE 2014)

作者： C.C.Wen T.W.Chang W.S.Kuo Ph.D.Program in Mechanical and Aeronautical Engineering Feng-Chia University Department of Aerospace and Systems Engineering Feng-Chia University

This work examines buckling and kink-band formation in graphene nanosheets(GNSs).GNSs are nano-scale flakes composed of graphene *** graphite was first made, which can be torn apart into GNSs by sonication.A simple but effective approach was adopted to incur buckling in *** observations revealed three major modes: the kinking induced by bending, the bulging, and the kink-band caused by in-plane *** conditions to cause these modes are *** buckled, the graphene layers undergo sharp ***, the graphene layers can survive kinking without fracture due to their exceptional *** kink-band in GNSs resembles the kink-band in carbon-fiber ***, the scale, the material properties, the micro-structures, and the energy terms involved in forming the kink-band are different.

关键词： Nanosheets(GNSs) Buckling Kink-band

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A robotic and virtual testing platform highlighting the promise of soft wearable actuators for wrist tremor suppression

Device

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Device 2025年

作者： Alona Shagan Shomron Christina Chase-Markopoulou Johannes R. Walter Johanna Sellhorn-Timm Yitian Shao Tobias Nadler Audrey Benson Isabell Wochner Ellen H. Rumley Isabel Wurster Philipp Klocke Daniel Weiss Syn Schmitt Christoph Keplinger Daniel F.B. Haeufle Robotic Materials Department Max Planck Institute for Intelligent Systems Stuttgart Germany Institute for Modelling and Simulation of Biomechanical Systems University of Stuttgart Stuttgart Germany Stuttgart Center for Simulation Science (SimTech) University of Stuttgart Stuttgart Germany Hertie Institute for Clinical Brain Research University of Tübingen Tübingen Germany Haptic Intelligence Department Max Planck Institute for Intelligent Systems Stuttgart Germany Institute for Computer Engineering (ZITI) University of Heidelberg Heidelberg Germany Paul M. Rady Department of Mechanical Engineering University of Colorado Boulder CO USA Center for Neurology Department of Neurodegenerative Diseases University of Tübingen Tübingen Germany Center for Bionic Intelligence (BITS) Tübingen and Stuttgart Germany Material Science and Engineering Program University of Colorado Boulder CO USA Werner Reichardt Center for Integrative Neuroscience University of Tübingen Tübingen Germany

Nearly 80 million people in the world deal with medical conditions that cause involuntary periodic movements known as tremors. Wearable soft robotic devices offer a potential solution for actively suppressing these tremors. However, existing prototypes face limitations in actuation performance and complex testing procedures. We present a comprehensive approach for the rapid evaluation of emerging wearable tremor-suppression technologies. This method combines reproducing patient-recorded tremor episodes and measuring tremor suppression in a robotic platform, termed a “mechanical patient”, with validation of the achieved suppression performance of soft actuators via biomechanical modeling, thereby avoiding time-consuming clinical testing in the early stages of development. Using this approach, we highlight that an antagonistic pair of slim and lightweight electrohydraulic actuators can effectively suppress clinically relevant tremors between 2 and 8 Hz. The biomechanical model confirms that the pair of actuators generates adequate suppression forces for all tested tremors.

关键词： tremor suppression mechanical patient soft actuators wearable devices biomechanical simulation DTI-4: Validate

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An evaluation system for distance determination using the repetition interval of a femtosecond optical frequency comb

An evaluation system for distance determination using the re...

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International Conference on Quantum Electronics (IQEC)

作者： Dong Wei Kiyoshi Takamasu Hirokazu Matsumoto Global COE Program Mechanical Systems Innovation School of Engineering University of Tokyo Japan Department of Precision Engineering University of Tokyo Japan

A gauge block evaluation system was developed and its uncertainty estimation was performed for distance determination using the repetition interval of a femtosecond optical frequency comb - the national standard tool ... 详细信息

ISBN: (纸本)9780977565771

关键词： Length measurement Uncertainty Ultrafast optics Optical interferometry Interference Frequency domain analysis

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Estimating the effect of chirality and size on the mechanical properties of carbon nanotubes through finite element modelling 12

Estimating the effect of chirality and size on the mechanica...

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ASME 2014 12th Biennial Conference on engineering systems Design and Analysis, ESDA 2014

作者： Zuberi, Muhammad Jibran Shahzad Esat, Volkan Sustainable Environment and Energy Systems Middle East Technical University Northern Cyprus Campus Kalkanli Guzelyurt Mersin10 Turkey Mechanical Engineering Program Middle East Technical University Northern Cyprus Campus Kalkanli Guzelyurt Mersin10 Turkey

ISBN: (纸本)9780791845837

Carbon nanotubes (CNTs) are considered to be one of the contemporary materials exhibiting superior mechanical, thermal and electrical properties. A new generation state-of-theart composite material, carbon nanotube reinforced polymer (CNTRP), utilizes carbon nanotubes as the reinforcing fibre element. CNTRPs are highly promising composite materials possessing the potential to be used in various areas such as automotive, aerospace, defence, and energy sectors. The CNTRP composite owes its frontline mechanical material properties mainly to the improvement provided by the CNT filler. There are challenging issues regarding CNTRPs such as determination of material properties, and effect of chirality and size on the mechanical material properties of carbon nanotube fibres, which warrant development of computational models. Along with the difficulties associated with experimentation on CNTs, there is paucity in the literature on the effects of chirality and size on the mechanical properties of CNTs. Insight into the aforementioned issues may be brought through computational modelling time- and cost-effectively when compared to experimentation. This study aims to investigate the effect of chirality and size of single-walled carbon nanotubes (SWNTs) on its mechanical material properties so that their contribution to the mechanical properties of CNTRP composite may be understood more clearly. Nonlinear finite element models based on molecular mechanics using various element types substituting C-C bond are generated to develop zigzag, armchair and chiral SWNTs over a range of diameters. The predictions collected from simulations are compared to the experimental and computational studies available in the literature. Copyright © 2014 by ASME.

关键词： Finite element method

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RECRUITING AND TRAINING THE FUTURE WORKFORCE IN ADVANCED MANUFACTURING CAPABILITIES: A CASE STUDY FROM THE TAMPA BAY

RECRUITING AND TRAINING THE FUTURE WORKFORCE IN ADVANCED MAN...

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ASME 2024 International mechanical engineering Congress and Exposition, IMECE 2024

作者： Amjad, Muhammad Saad Singh, Pallavi Zapata, Valerie Barger, Marilyn Diaz-Elsayed, Nancy Smart and Sustainable Systems Laboratory Department of Mechanical Engineering University of South Florida TampaFL33620 United States Department of Electrical Engineering University of South Florida TampaFL33620 United States Florida Advanced Technological Education Center TampaFL33619 United States Introduction to Production Systems Certificate Program College of Engineering University of South Florida TampaFL33620 United States

ISBN: (纸本)9780791888650

The manufacturing sector is of paramount importance to a nation’s economy, as it creates employment opportunities, fosters innovation and enhances the competitive advantage in global markets. With the introduction of smart manufacturing technologies, the manufacturing sector has been able to boost its production performance, however, there is a skill gap that the manufacturing sector is facing when it comes to hiring a trained workforce. The US National Strategy for Advanced Manufacturing has underlined the importance of training an advanced manufacturing workforce with an opportunity to support historically underrepresented and underserved communities. We report the outcomes of a manufacturing training certificate program that is designed to provide equitable opportunities for high-quality, industry-relevant training that can lead to sustainable employment and economic growth. A holistic curriculum was developed to teach manufacturing education including CAD, CAM, 3D printing, AR/VR technologies, robotics and automation, assembly and production lines, and measurement systems. We report the outcomes of two cohorts that graduated in Summer 2023 and Fall 2023, in which a total of 86 training sessions were conducted. Twenty-five students enrolled and 17 students (14 males and 3 females) graduated across the two cohorts - among the graduates 47% identified as Hispanic or Latino, 41% identified as African American, and the rest identified as non-white/Hispanic;16 of the graduates belonged to the low-to-middle income category. In the future, the program can be further expanded to include on the job training opportunities with local employers. We also provide recommendations to improve the learning experience of the students and enhance participation in the program. © 2024 American Society of mechanical Engineers (ASME). All rights reserved.

关键词： Students

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Analysis of the motivations for ISO 9001:2015 adoption in the Brazilian business context

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Quality Management Journal 2021年第2期28卷 76-85页

作者： Siltori, Patricia F. S. Rampasso, Izabela Simon Martins, Vitor W. B. Anholon, Rosley Silva, Dirceu Souza Pinto, Jefferson Leal Filho, Walter School of Mechanical Engineering University of Campinas Campinas Brazil PNPD/CAPES Program Doctoral Program in Sustainable Management Systems Federal Fluminense University Niterói Brazil Department of Production Engineering State University of Pará Belém Brazil Faculty of Education University of Campinas Campinas Brazil Federal Institute of São Paulo Bragança Paulista Brazil Faculty of Life Sciences Hamburg University of Applied Sciences Hamburg Germany

This study aims to analyze the reasons that motivate Brazilian companies to implement Quality Management systems, according to ISO 9001:2015 requirements. Based on information collected in the literature, a questionnaire was developed and answered by professionals that work with the mentioned standard in their companies. An Exploratory Factor Analysis was conducted with the collected data to group the validated variables into two constructs that present the most part of information variance. These constructs were entitled “internal improvements related motives” and “market related motives”. The findings of this research confirm and complement previous studies performed in Brazil and in other countries. © 2021 American Society for Quality.

关键词： Adoption motives ISO 9001 motivation quality management

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Hardware Particle Swarm Optimization with passive congregation for embedded applications

Hardware Particle Swarm Optimization with passive congregati...

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Southern Conference on programmable Logic

作者： Muñoz, Daniel M. Llanos, Carlos H. Coelho, Leandro Dos S. Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424488483

Achieving high performance optimization algorithms for embedded applications can be very challenging, particularly when several requirements such as high accuracy computations, short elapsed time, area cost, low power consumption and portability must be accomplished. This paper proposes a hardware implementation of the Particle Swarm Optimization algorithm with passive congregation (HPPSOpc), which was developed using several floating-point arithmetic libraries. The passive congregation is a biological behavior which allows the swarm to preserve its integrity, balancing between global and local search. The HPPSOpc architecture was implemented on a Virtex5 FPGA device and validated using two multimodal benchmark problems. Synthesis, simulation and execution time results demonstrates that the passive congregation approach is a low cost solution for solving embedded optimization problems with a high performance. © 2011 IEEE.

关键词： Digital arithmetic

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Hardware Implementation of a Sliding Detection Algorithm for Robotic Hands Using Force Sensors

Hardware Implementation of a Sliding Detection Algorithm for...

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Symposium on Integrated Circuits and systems Design (SBCCI)

作者： Jose Mendoza-Peñaloza Daniel M. Muñoz Department of Mechanical Engineering Mechatronics Systems Graduate Program Automation and Control Group/GRACO Faculty of Gama Electronics Engineering Undergraduate Program University of Brasilia Brasilia DF Brazil

In this work, a sliding detection algorithm was proposed for a previously developed robotic hand through the utilization of force sensors. Previous works have designed several hardware architectures to filter sensor data, implement dynamic control, and machine learning models for controlling the robotic fingers using a single Field programmable Gate Arrays (FPGA) chip. In this regard, the slip detection algorithm was developed to comprise three stages, each with a low computational cost, including a moving average filter, a first-order derivative, and a peak detection algorithm. A reference model was constructed and validated through an experimental protocol employing daily use objects to create a database. Subsequently, the slip detection algorithm was mapped onto hardware utilizing previously developed floating-point arithmetic IP cores and implemented using a Zynq 7020 device. The FPGA implementation was characterized in terms of resource occupation, power consumption, execution time, and numerical error with the reference model.

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Accelerating the Shuffled Frog Leaping algorithm by parallel implementations in FPGAs

Accelerating the Shuffled Frog Leaping algorithm by parallel...

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2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

作者： Muñoz, Daniel M. Llanos, Carlos H. Dos S. Coelho, Leandro Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACG University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424464388

Meta-heuristics are efficient techniques for solving large scale optimization problems in which traditional mathematical techniques are impractical or provide sub-optimal solutions. The Shuffled Frog Leaping algorithm (SFLA) is a stochastic iterative method, bio-inspired on the memetic evolution of a group of frogs when seeking for food, which combines the social behavior-based of the particle swarm optimization technique (PSO) and the global information exchange of memetic algorithms. However, the SFLA algorithm suffers on large execution times, being this problem clearly evident when solving complex optimization problems for embedded applications. This drawback can be overcome by exploiting the parallel capabilities of the SFLA. This paper proposes a hardware parallel implementation of the SFLA algorithm (HPSFLA) using FPGAs (Field programmable gate Arrays) and the efficient floating-point arithmetic. The proposed architecture allows the SFLA to improve the functionality of the algorithm as well as to decrease the execution times by implementing parallel frogs and parallel memeplexes. Three well-known benchmark problems have been used to validate the implemented algorithm and simulation results demonstrate that the HPSFLA speeds-up by factors of 362, 727 and 211 a C-code implementation using an embedded microprocessor for the Sphere, Rastrigin and Rosenbrock benchmarks problems, respectively. Synthesis, simulation and execution time results demonstrate the effectiveness of the proposed HPSFLA architecture for embedded optimization systems. © 2010 IEEE.

关键词： Global optimization

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Efficient Hardware Implementation of Nonlinear Moving-horizon State Estimation with Artificial Neural Networks

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IFAC-PapersOnLine 2020年第2期53卷 7813-7818页

作者： Rafael Koji Vatanabe Brunello Renato Coral Sampaio Carlos H Llanos Leandro dos Santos Coelho Helon Vicente Hultmann Ayala Department of Mechanical Engineering UnB 70910-900 DF Brazil Industrial and Systems Engineering Graduate Program PUCPR 80215-910 PR Brazil Department of Electrical Engineering UFPR 81531-980 PR Brazil Department of Mechanical Engineering PUC-Rio 22231-180 RJ Brazil

In this contribution we investigate the application of radial basis functions artificial neural networks embedded in hardware for real-time moving-horizon state estimation. The solution of the optimal moving-horizon state estimation problem may be faced as the mapping from the inputs and outputs of the system to the state estimates according to the system model. This mapping may be solved offline with the optimal formulation and then approximated by any higher order function approximation algorithm, such as the ones from machine learning. An approximate version with radial basis functions neural networks is developed and implemented in a Field programmable Gate Array (FPGA) showing good results in terms of accuracy and computational time. We show that the state estimate using the approximate version of the moving-horizon algorithm can be run using a laboratory scale kit of approximately 500 kHz for an inverted pendulum at a clock rate of about 110 MHz. The latency to provide an estimate can be further reduced when FPGAs with higher clocks are used as the artificial neural network architecture is inherently parallel.

关键词： Estimation filtering Nonlinear observers filter design Nonlinear predictive control Neural networks Embedded computer architectures

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