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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Hossain, Md Shahjahan Csercsevits, Vincent Seshaiah, Kira Bateniparvar, Omid Ghosh, Ranajay Department of Mechanical and Aerospace Engineering University of Central Florida OrlandoFL United States Department of Mechanical Engineering Widener University ChesterPA United States Smith College Picker Engineering Program NorthamptonMA United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Lightweight structures with bioinspired metamaterials, with their uniquely engineered properties not found in naturally occurring materials, have garnered significant attention for their potential in various engineering applications. This study explores the mechanical behavior of sandwich plate structures utilizing the Kresling origami pattern, fabricated through a straightforward 3D printing process. By conducting 3-point bending and compression tests, as well as simulations with Abaqus software, the research investigates the distinctive mechanical properties and performance enhancements these origami-inspired structures offer under mechanical loading. This study is noteworthy for being the first to investigate the bending characteristics of sandwich structures utilizing the two cell Kresling pattern or double Kresling, an area that has not been previously explored. Utilizing the Kresling structure in sandwich panels poses a challenge due to its rotational behavior. To address this, we employ a double Kresling pattern, which confines the rotation to the middle layer. This approach ensures that the outer layers remain stable, maintaining the overall integrity of the sandwich panel structure during deformation under mechanical loading. The findings reveal that the 3D-printed Kresling origami core significantly reduces weight while maintaining structural integrity, making it especially beneficial for aerospace engineering, where lightweight yet strong materials are crucial. This research highlights the potential of Kresling-patterned sandwich plates to improve efficiency and performance in supersonic vehicles, providing valuable insights into their structural efficiency and applicability in advanced engineering fields. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Compression testing

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Multi-criteria decision model for selection of a material suitable to lightning strike protection in aerospace applications

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Materials Today: Proceedings 2022年 59卷 725-733页

作者： Himagireesh, Ch. Ramji, K. Durga Prasad, K.G. Hari Kiran, V. Department of Mechanical Engineering Engineering and Technology Program GayatriVidyaParishad College for Degree & P.G.Courses Andhra Pradesh Visakhapatnam India Department of Mechanical Engineering Andhra University Visakhapatnam India Department of Mechanical Engineering Avanthi Institute of Engineering and Technology Andhra Pradesh India

In order to protect the aerospace structures against electromagneticinterference (EMI) caused by lightning strikes, metallic meshes or foils are currently being used. But the additional weight of metallic meshes cause counterbalance of weight saving imparted by the composite materials. In this context, Al6061 hybrid metal matrix composite specimens with different proportions of SiC, Al2O3 and fly ash particulates as reinforcement materials have been prepared and tested their characteristics suitability to lightning strike protection (LSP). As there is a conflicting nature among these properties a multi-criteria decision model using AHP, Entropy and TOPSIS techniques with a view to select appropriate specimen to meet the objective. The results of the proposed decision model are compared with that of the other methods VIKOR and PROMETHEE so as to validate the results. The same weightages for the properties are used in all the three methods. The proposed decision model is the robust one for ranking of the materials. © 2021

关键词： Aluminum oxide

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Wind energy as a source of green hydrogen production in the USA

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Clean Energy 2023年第1期7卷 8-22页

作者： Ashish Sedai Rabin Dhakal Shishir Gautam Bijaya Kumar Sedhain Biraj Singh Thapa Hanna Moussa Suhas Pol National Wind Institute Texas Tech UniversityLubbockTX 79401USA Department of Mechanical Engineering Texas Tech UniversityLubbockTX 79401USA Department of Mechanical Engineering Tribhuvan UniversityPurbanchal CampusDharanNepal Green Hydrogen Lab Department of Mechanical EngineeringKathmandu UniversityDhulikhelNepal Wind Energy Program Texas Tech UniversityLubbockTX 79401USA

The study incorporates an overview of the green hydrogen-production potential from wind energy in the USA,its application in power generation and the scope of substituting grey and blue hydrogen for industrial *** 10 million metric tons of grey and blue hydrogen is produced in the USA annually to fulfil the industrial demand,whereas,for 1 million metric tons of hydrogen generated,13 million metric tons of CO_(2) are released into the *** research aims to provide a state-of-the-art review of the green hydrogen technology value chain and a case study on the production of green hydrogen from an 8-MW wind turbine installed in the southern plain region of *** research estimates that the wind-farm capacity of 130 gigawatt-hours is required to substitute grey and blue hydrogen for fulfilling the current US annual industrial hydrogen demand of 10 million metric *** study investi-gates hydrogen-storage methods and the scope of green hydrogen-based storage facilities for energy produced from a wind *** research focuses on the USA’s potential to meet all its industrial and other hydrogen application requirements through green hydrogen.

关键词： green hydrogen wind energy electrolysis greenhouse gases

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Trust Relationship in Large Group Emergency Decision-Making

Trust Relationship in Large Group Emergency Decision-Making

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2024 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Orshella, D.D. Masruroh, N.A. Arini, H.M. Department of Mechanical and Industrial Engineering Universitas Gadjah Mada Yogyakarta Indonesia Industrial Engineering Program Galuh University Ciamis Indonesia

ISBN: (纸本)9798350386097

Emergency decision-making requires perspectives from multiple decision-makers with different knowledge and experience to evaluate alternatives jointly and agree on the final solution. Researchers are developing the Large Group Emergency Decision-Making (LGEDM) framework, an assessment and evaluation process by 20 or more experts of alternative solutions in emergency cases. Trust relationship among experts participating in LGEDM is an important factor in the stages of LGEDM to reach the ideal consensus level. This literature review examines the development of research adapting trust relationships in the LGEDM framework, specifically from two perspectives (similarity-based trust and familiarity-based trust) and evidence of the effectiveness of trust relationships from previous studies. The study also identifies several opportunities from previous studies and provides recommendations for future studies. © 2024 IEEE.

关键词： Decision-making emergency familiarity similarity trust

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Sustainability of Manufacturing Enterprises: A Psychological Perspective of Linking Manufacturing Layers

Sustainability of Manufacturing Enterprises: A Psychological...

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IISE Annual Conference and Expo 2024

作者： Garbie, Ibrahim Garbie, Muhammad Department of Mechanical Engineering Industrial Engineering Program College of Engineering Helwan University Cairo Egypt Department of Industrial Systems and Manufacturing Engineering Texas Tech University LubbockTX United States

ISBN: (纸本)9781713877851

As sustainability/sustainable development (S/SD) is still considered the buzzword in manufacturing environments, particularly after showing up and joining Industry 4.0 (I4.0), S/SD is prescribed to be embraced as one of the major perspectives of actualizing I4.0. Manufacturing, in common, is separated into three primary streams or layers. These layers are represented by machine design (MD), manufacturing processes (MP), and manufacturing systems (MS). All these layers constitute manufacturing enterprises. Although these layers coincide or overlap at one point, there's a psychological link between them. The primary layer is called the core and is dependable for designing machine components. The second layer is called the chosen layer, and it is represented by the manufacturing process with which generation operations will be adopted. The final layer could be a given one and is utilized to demonstrate which manufacturing system can be chosen. This paper aims to discover the S/SD for these layers and the psychological interface between them. In this paper, components of these three layers will be distinguished and analyzed, and the S/SD index of linking these layers through a psychological perspective will be proposed and outlined independently and universally. © IISE Annual Conference and Expo *** rights reserved.

关键词： Smart manufacturing

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Predictive Modeling of Human Fatigue in a Manufacturing-Like Setting

Predictive Modeling of Human Fatigue in a Manufacturing-Like...

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2024 American Control Conference, ACC 2024

作者： Rafter, Abigail Tilbury, lDawn M. Barton, Kira University of Michigan Robotics Department Ann Arbor United States University of Michigan Mechanical Engineering Department Ann Arbor United States

ISBN: (纸本)9798350382655

Humans are an essential part of Smart Manufacturing systems. While modeling machines based on real-time data and knowledge from subject matter experts has been widely explored, modeling humans has not. Modeling humans presents significant challenges due to the heterogeneity of individuals and the stochasticity that may be introduced through individual decisions based on events. We hypothesize that human behavior within a controlled environment and task will lie within a predictable scope that can give insight into future behavioral states of humans, such as fatigue. Human fatigue affects workers' productivity, safety, and performance in manufacturing systems. We define fatigue as measurable tiredness resulting from physical exertion. If we can predict when a human worker will become fatigued, breaks or task changes can be preemptively incorporated into system planning to maintain desired levels of productivity and safety. In this paper, we propose a modeling structure to describe fatigue in humans performing repetitive, manufacturing-like tasks. Using first order techniques, the model incorporates task context and physiological sensor data. A case study in which the participant completes a repetitive cable assembly task provides a demonstration of model development. We derived linear time-invariant state space models that are capable of predicting fatigue levels with high accuracy over a 20 minute time horizon. © 2024 AACC.

关键词： Smart manufacturing

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Comparison of Bioinspired MLP Controllers for Mobile Robots Obstacle Following/Avoidance

Comparison of Bioinspired MLP Controllers for Mobile Robots ...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Luiz, Matheus De S. Pastrana, M.A. Da Silva, Lukas. A. Campagnucci, Pamela. R. A. N. Mendoza-Penaloza, Jose Benevides, Rafael R.L. Munoz, Daniel M. University of Brasilia Mechatronics Graduate Program Department of Mechanical Engineering Brasilia Brazil University of Brasilia Faculty of Gama Electronics Engineering Undergraduate Program Brasilia Brazil

ISBN: (纸本)9798350374575

Proportional, integral, and derivative (PID) controllers have been widely adopted for industrial applications. However, these controllers are not very efficient for non-linear systems. Artificial neural networks (ANN) based on the Multilayer Perceptron (MLP) have great potential to replace PID controllers due to their polynomial structure, allowing complex non-linear systems to be controlled. This article introduces the integration of four MLPs as alternatives to a traditional PID controller. These MLPs were trained through four bioinspired algorithms tailored for following tasks in mobile robots. The bioinspired algorithms employed for MLP network training include Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), Month-Flame Optimization (MFO), and Artificial Hummingbird Algorithm (AHA). A comparative analysis was conducted between these MLPs and a classic PID controller, focusing on parameters such as overshoot (OS), settling time (ST), and steady-state error for different simulated scenarios. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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A Study on Trajectory Tracking of an ROV for Underwater Glider Recovery Based on Adaptive Backstepping Control Using a Command Filter

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Journal of Institute of Control, robotics and Systems 2024年第11期30卷 1266-1276页

作者： Lee, Mun Haeng Kim, Sung Jae Lee, Jung Woo Suh, Jin Ho Department of Intelligent Robot Engineering Pukyong National University Korea Republic of The Industrial Science Technology Research Center Pukyong National University Korea Republic of Korea Institute of Robotics & Technology Convergence Korea Republic of Department of Mechanical System Engineering Pukyong National University Korea Republic of

This paper presents a path for a remotely operated vehicle (ROV) to retrieve an underwater glider and proposes a backstepping-based control method that utilizes a command filter and an adaptive term for trajectory tracking. The ROV path, which consists of diving, approaching, and ascending to reach the underwater glider while minimizing wave disturbances, is generated using a fifth-order polynomial trajectory generation method. To address the complexity of the backstepping method, the virtual control signal is replaced with a command filter signal. Additionally, a compensation mechanism is configured to suppress filter errors. An adaptive term based on Lyapunov stability is incorporated to compensate for lumped disturbances to enhance system control performance. The stability of the entire control system is proven through Lyapunov stability theory. To verify the performance of the proposed controller, simulations are conducted to track the configured path in a marine environment. This environment includes waves and ocean currents, with wave disturbances modeled based on the movement of water particles in waves. The simulation results demonstrate that the proposed controller achieves superior tracking performance and resilience against disturbances compared with the proportional-integral-differential controller. © 2024, Institute of Control, robotics and Systems. All rights reserved.

关键词： Remotely operated vehicles

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A Robotic Skin Using Low-density FBGs for Human-robot Interaction

A Robotic Skin Using Low-density FBGs for Human-robot Intera...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Dong, Xiyue Lam, Chin-Kiu Chen, Wei Yang, Bohan Liu, Yun-Hui Hong Kong Center for Logistics Robotics Hong Kong The Chinese University of Hong Kong T Stone Robotics Institute Department of Mechanical and Automation Engineering Hong Kong

ISBN: (纸本)9781665481090

In collaborative robotic arms, tactile sensing is crucial for enhancing interaction accuracy and safety. Robotic skins play an vital role in tactile sensing by mimicking the human sense of touch, enabling robots to detect and respond to physical interactions. Fiber Bragg gratings (FBGs), with their high sensitivity, environmental adaptability, and real-time response are increasingly adopted in the design of robotic skin systems. However, current FBG-based research has not resolved the issue of the high-density FBG usage and the large number of optical fibers required, limiting their widespread application in practical scenarios. In this work, we present a design of a soft robotic skin with efficient use of FBGs to estimate the location and magnitude of external forces. Our prototype features a cylindrical shape with a total area of 720 cm2 and incorporates one optical fiber with 16 evenly spaced FBGs. We optimized the structure through finite element analysis (FEA) and designed experiments to characterize its properties. Using data-driven methods, we achieved root mean square errors (RMSEs) of 4.29 mm and 4.05 degrees in estimating locations along the axial and radial directions, respectively, and 0.17 N for force magnitude. By achieving high sensitivity and an effective area per unit of 50 cm2, this approach shows promise for future applications in robotic skin. © 2024 IEEE.

关键词： Fiber Bragg gratings

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Quenched PVDF/PMMA Porous Matrix for Triboelectric Energy Harvesting and Sensing

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Energy & Environmental Materials 2025年第1期8卷 225-234页

作者： Assem Mubarak Bayandy Sarsembayev Yerzhigit Serik Abdirakhman Onabek Zhanat Kappassov Zhumabay Bakenov Kazuyoshi Tsuchiya Gulnur Kalimuldina Department of Mechanical and Aerospace Engineering School of Engineering and Digital SciencesNazarbayev UniversityKabanbay Batyr Ave.53Astana 010000Kazakhstan Institute of Smart Systems and Artificial Intelligence Nazarbayev UniversityKabanbay Batyr Ave.53Astana 010000Kazakhstan Department of Robotics Engineering School of Engineering and Digital SciencesNazarbayev UniversityKabanbay Batyr Ave.53Astana 010000Kazakhstan Department of Chemical and Materials Engineering School of Engineering and Digital SciencesNazarbayev UniversityKabanbay Batyr Ave.53Astana 010000Kazakhstan Micro/Nano Technology Center Tokai University4-1-1 KitakanameHiratsukaKanagawa 259-1292Japan

The rapid development of nanotechnology has significantly revolutionized wearable electronics and expanded their *** introducing innovative solutions for energy harvesting and autonomous sensing,this research presents a cost-effective strategy to enhance the performance of triboelectric nanogenerators(TENGs).The TENG was fabricated from polyvinylidene fluoride(PVDF)and N,N0-poly(methyl methacrylate)(PMMA)blend with a porous structure via a novel optimized quenching *** developed approach results in a highβ-phase content(85.7%)PVDF/3wt.%PMMA porous blend,known for its superior piezoelectric ***/3wt.%PMMA modified porous TENG demonstrates remarkable electrical output,with a dielectric constant of 40 and an open-circuit voltage of approximately 600 *** porous matrix notably increases durability,enduring over 36000 operational cycles without performance ***,practical applications were explored in this research,including powering LEDs and pacemakers with a maximum power output of 750mWm^(-2).Also,TENG served as a self-powered tactile sensor for robotic applications in various temperature *** work highlights the potential of the PVDF/PMMA porous blend to utilize the next-generation self-powered sensors and power small electronic devices.

关键词： N N0-poly(methyl methacrylate)(PMMA) robotic tactile sensors polyvinylidene fluoride(PVDF) quenching triboelectric nanogenerators(TENGs)

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