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SSRN 2023年

作者： Park, Jaewoo Zhuo, Weiqian Ridder, Cathleen Zhang, Jinsuo Nuclear Engineering Program Department of Mechanical Engineering Virginia Tech BlacksburgVA24061 United States

Molten NaF-BeF2-UF4-ZrF4 salt is a fuel-salt candidate for molten salt reactors (MSRs). However, properties of the salt, which are key parameters for a MSR design, were not well-studied and reported. The present study measured and analyzed its phase transition, specific heat capacity, vapor pressure, and contact angle with nuclear grade graphite as a function of temperature. The methodologies used in the study were validated by measuring other salt or metals that have been well studied. Therefore, the present study not only provides important data for molten NaF-BeF2-UF4-ZrF4 salt properties but also develops and/or validates the property measurement methods. © 2023, The Authors. All rights reserved.

关键词： Contact angle

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Design of a Passive Wearable Device Using an Optimized mechanical Metamaterial for Mirror Therapy

Design of a Passive Wearable Device Using an Optimized Mecha...

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IEEE International Conference on Rehabilitation robotics (ICORR)

作者： Suhas Raghavendra Kulkarni Dino Accoto Domenico Campolo Robotics Research Centre School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore Department of Mechanical Engineering Ghent and Aalst Campuses KU Leuven Ghent Belgium

Mirror Therapy (MT) is an effective therapeutic method used in the rehabilitation of hemiplegics. The effectiveness of this method is improved by employing a bi-modal approach which requires the synchronous movement of the affected and unaffected arm. For this purpose, we describe the design of a wearable device using a mechanical Metamaterial (MM) that is optimized for the specific user to provide passive assistance of wrist flexion-extension and enable synchronous motion of the affected and unaffected arm during MT.

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Effect of Magnetic Moments Towards Swimming Behavior and Performance of the Soft Milli-Robots

Effect of Magnetic Moments Towards Swimming Behavior and Per...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Xiuzhen Tang Laliphat Manamanchaiyaporn Research Unit of Small-Scale Robotics Center of Excellence in Creative Engineering Design and Development Department of Mechanical Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Thailand

Remote controllability, real-time response, and small size are critically requirement of medical devices operated in blind, unstructured, and fluidic environments of biomedical regions. Untethered swimming soft milli-robots have been developed to fulfill treatment and therapy in such that region under magnetic navigation. The soft robot's motor-less mechanism with a high-DOF utilizes magnetic compliance of the deformable structure with a minimal control of oscillating magnetic field. Theoretically, magnetic property of the robots is defined by magnetic moments consisting of orientation and strength. Orientation can be programmed by magnetizing technique, and strength is defined by quantity of magnetic moments in the structure. Herein, this work investigates how orientation and quantity of magnetic moments affect swimming behavior and performance of the robots. The soft robots are designed into three distinguish types of magnetic property embedded in the deformable structure; the I-robot has non-uniform magnetic orientation and uniform magnetic strength, the II-robot has uniform magnetic orientation and non-uniform magnetic strength, and the III-robot has non-uniform magnetic orientation and non-uniform magnetic strength. The results interestingly report that each type of robot's property functions mechanism and benefits swimming performance differently under the same control parameters. The I-robot does not have any exceptional potential, but the II-robot can be operated at the higher control frequency even reaching the step-out point. The III-robot shows the greatest performance in swimming and maneuverability. These results are useful to design a swimming soft-robot capable of applying for various purposes, especially when the demand concerns non-harm, small-scale, soft-interface, and remote controllability.

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A Study on Giant Magnetostrictive Actuator for Interior Sound Control System of the Ultra-Compact Mobility: Fundamental Consideration on Formation of the Giant Magnetostrictive Phases Depending on Heat Treatment Condition

A Study on Giant Magnetostrictive Actuator for Interior Soun...

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International Conference on Electrical Machines and Systems (ICEMS)

作者： Taro Kato Ryusei Naganuma Koki Bando Kentaro Sawada Wu Wenbao Ikkei Kobayashi Jumpei Kuroda Daigo Uchino Kazuki Ogawa Keigo Ikeda Ayato Endo Hideaki Kato Takayoshi Narita Mitusaki Furui Department of Mechanical Engineering Tokyo University of Technology Hachioji-shi Tokyo Japan Sustainable Engineering Program Graduate School of Engineering Tokyo University of Technology Hachioji-shi Tokyo Japan Course of Mechanical Engineering Tokai University Hiratsuka-shi Kanagawa Japan Course of Science and Technology Tokai University Hiratsuka-shi Kanagawa Japan Department of Mechanical Engineering National Institute of Technology (KOSEN) Numazu College Numazu-shi Shizuoka Japan Department of Electronic Robotics Aichi University of Technology Gamagori-shi Aichi Japan Department of Mechanical Engineering Hokkaido University of Science Sapporo Hokkaido Japan Department of Electrical Engineering Fukuoka Institute of Technology Fukuoka-shi Fukuoka Japan Department of Mechanical System Engineering Tokai University Hiratsuka-shi Kanagawa Japan

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

An active noise control system using giant magnetostrictive actuator has been proposed as a countermeasure for interior noise of the ultra-compact mobilities, which is a new transportation tools. In this paper, as basic research toward the development of the proposed giant magnetostrictive actuator for active noise control, we conduct experiments on the material properties when terbium, dysprosium, and iron powder, which make up the giant magnetostrictive material, are mixed and the heat treatment conditions are changed. In this study, the heat treatment temperature was varied from $800^{\circ}\mathrm{C}$ to $1100^{\circ}\mathrm{C}$ in $100^{\circ}\mathrm{C}$ incrementsbased on the equilibrium state temperature of each material, and the heat treatment time was set in 30-minute increments from 1 hour to 3 hours. As a result, TbFe2 was confirmed after heat treatment at an electric furnace temperature of $1000^{\circ}\mathrm{C}$ for 3 hours, although its strength was insufficient.

关键词： Actuators Heat treatment Powders Temperature Magnetostriction Noise Terbium Iron Resistance heating Material properties

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The Influence of Acetylene Black Microparticles as a Fuel Additive in Pure Palm Oil and its Performance Characteristic on Diesel Engine

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SSRN 2024年

作者： Prahmana, Rico Aditia Darmanto, Prihadi Setyo Juangsa, Firman Bagja Reksowardojo, Iman Kartolaksono Hendrarsakti, Jooned Serunting, Muhamad Allan Yuwazama, Zido Ahmad, Azaria Haykal Prakoso, Tirto Doctoral Program of Mechanical Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung40132 Indonesia Thermal Science and Engineering Research Group Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Bandung Indonesia Program of Mechanical Engineering Department of Production and Industrial Technology Institut Teknologi Sumatera South Lampung 3536 Indonesia Departement of Chemical Engineering Faculty of Industrial Technology Institut Teknologi Bandung Bandung40132 Indonesia Program of Mechanical Engineering Faculty of Industrial Technology Universitas Pertamina Jakarta12220 Indonesia Program of Chemistry Faculty of Science Institut Teknologi Sumatera Lampung Selatan Indonesia

Fuel additives are recognized for their potential to make diesel engines cleaner and more efficient. However, the use of Pure Palm Oil (PPaO) as a fuel faces challenges due to its inherent combustion inefficiencies. This study explores how Acetylene Black (AB), as an additive, affects the combustion performance and spray characteristics of a diesel engine. Observations of spray phenomena were conducted using a High-Speed Camera Phantom C110. The addition of AB to PPaO resulted in an increase in engine power and torque by 11.43% at a 60% load, averaging a 2.97% improvement over diesel fuel (DF). PPaO demonstrated the most significant improvement in Specific Fuel Consumption (SFC) by 17.2% at a 40% load, averaging an 8.2% increase. For PPaO with AB (PPaOAB), the greatest enhancement in SFC occurred at a 10% load, showing a 9.2% improvement over DF, with an average increase of 2.1%. The study also found that thermal efficiency was optimally enhanced with PPaOAB at a 20% load, achieving a remarkable 17.7% improvement compared to DF. Notably, the inclusion of AB in PPaO significantly improved spray angle and penetration compared to PPaO alone. These findings suggest that AB could be a promising additive for PPaO, sparking further research interest in the application of AB in other fuels. © 2024, The Authors. All rights reserved.

关键词： Palm oil

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Design of a novel automotive canopy and battery charging based on renewable energy technology

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Materials Today: Proceedings 2023年

作者： Hussein, Hussein Mohamed Abdelmoneam Gupta, Ravi Kumar El-Aty, Ali Abd Elatriby, Sherif A. Mechanical Engineering Department Faculty of Engineering Helwan University Cairo11732 Egypt Mechanical Engineering Department Faculty of Engineering Ahram Canadian University Giza Egypt CAD Lab Mechanical Engineering Department SAMM Manipal University Jaipur Jaipur303007 India Mechanical and Industrial Engineering Department Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Manipal India Mechanical Engineering Department College of Engineering at Al Kharj Prince Sattam Bin Abdulaziz University Al Kharj16273 Saudi Arabia Industrial Engineering Program Nile University Giza Egypt

Nowadays, the world is suffering from global warming, hence the Earth's temperature rises, this problem affects our lives in different ways. Moreover, the scientists have not found a ground solution for global warming. However, they are searching for methods of avoidance, so they could ameliorate the risk of human beings getting affected, as they could never stop this natural phenomenon from occurring. Not only global warming affects us, but also affects automobiles roaming on the Earth's surface. If cars are parked in a sunny area for long time, the temperature inside will increase and the seats would be boiling hot. Therefore, the driver has to wait until the seats cool off so he could get going, as he might be negatively affected by the car's high temperature. The launch of electric vehicles with a few battery charging stations is another hurdle for its sustainability. The work presented in this paper is development of a canopy to protect the cars from the Sun and use it to charge these cars with a certain design by setting a solar panel of specific dimensions at the roof of the car. The developed canopy is controlled during charging. The canopy is a low cost and plug-play kind of solution which can be purchased as an accessory and can be fitted on the rooftop. © 2023

关键词： Renewable energy resources

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Flexible Force-sensitive Sealed Packet with Single Fluidic Chamber

Flexible Force-sensitive Sealed Packet with Single Fluidic C...

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International Conference on Micro/Nano Sensors for AI, Healthcare, and robotics (NSENS)

作者： Mark Lester F. Padilla Zhipeng Dong Fei Chen Department of Mechanical and Automation Engineering T-Stone Robotics Institute The Chinese University of Hong Kong Hong Kong Department of Electronics and Computer Engineering De La Salle University Manila Philippines

ISBN: (数字)9798350375213

ISBN: (纸本)9798350375220

Tactile sensor developments have been seen in the past years. The flexible and soft type of these sensors became popular due to their capability to ensure safe physical interactions with humans. This paper presents a flexible force-sensitive sealed packet that can detect normal force acting on its surface. Our sensor used poly(3,4 ethylenedioxythiophene):poly(styrene sulfonate) or PEDOT:PSS and liquid binder to form a conductive liquid mixture and put it inside the sealed packet of thin plastic. One notable difference between our proposed sensor and other PEDOT:PSS-based sensors is that ours is low-cost and easy to fabricate. For our data acquisition setup, we used a voltage divider circuit with a 68k ohm resistor connected to an analog pin of an Arduino Uno. We also used the DAYSENSOR’s DYZ-101 5-kg load cell to determine the amount of force applied, which served as our ground truth. The changes in resistance were compared against the force applied. Linear regression analysis was done to show the correlation between the two quantities, and its slope corresponds to the sensor’s sensitivity. We performed a repeatability analysis of the proposed sensor, although some challenges were observed since manual pressing was done. We also tested the change in sensitivity once a different material, such as cardboard, foam, and copper tape, is placed between the load cell and our proposed sensor. Our results showed that we can achieve higher sensitivity and better linearity using foam. For future works, we plan to extend this study to skin-like wearable devices and tactile sensing.

关键词： Resistors Resistance Sensitivity Liquids Force Tactile sensors Voltage

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Numerical Simulation Co-Firing Of EFB And LRC Injected At Different Burner Levels In Tangential Combustion-Type Pulverized Boilers

Numerical Simulation Co-Firing Of EFB And LRC Injected At Di...

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International Conference on Smart Computing & Communications (ICSCC)

作者： I Nyoman Agus Adi Saputra Prabowo Atok Setiyawan I Gusti Bagus Wijaya Kusuma Sobar Ihsan Arif Darmawan Doctoral Program of Mechanical Engineering Department Institut Teknologi Sepuluh Nopember Surabaya Indonesia Mechanical Engineering Department Institut Teknologi Sepuluh Nopember Surabaya Indonesia Mechanical Engineering Department Udayana university Indonesia Center for Energy Conversion and Conservation National Research and Innovation Agency (BRIN)

ISBN: (数字)9798350363104

ISBN: (纸本)9798350363111

The exploration of biomass fuels is crucial for enhancing the economic value of solid waste from palm oil and mitigating the environmental impact of greenhouse gases emitted by power plants. This study conducted a numerical analysis on a pulverized coal (PC) boiler with co-firing at various burner positions. The numerical simulation results indicate that co-firing with empty fruit bunch (EFB) can enhance the ignition characteristics of Low Rank Coal (LRC). shown in the FEGT area an average increase in temperature of 0.2-0.45%. However, it should be noted that this temperature value is still within safe limits because it does not cause overheating of the heater. Furthermore, the formation of unburned particles can be reduced through the distribution of CO 2 . Additionally, the co-firing case 2 exhibits low NOx emissions, with a decrease rate of 24.6% when burner B is set at a condition of 1,63E-07. This condition is considered the most ideal as it is also accompanied by a significant reduction in SO 2 emissions, ranging from 21.82% to 24.7%.

关键词： Temperature distribution Waste materials Furnaces Oils Coal Ignition Numerical simulation Boilers Greenhouse gases Power generation

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A Study on Impact-Aware Aerial Robots Colliding with the Environment at Non-Vanishing Speed

A Study on Impact-Aware Aerial Robots Colliding with the Env...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Gayatri Indukumar Alessandro Saccon Antonio Franchi Chiara Gabellieri Robotics and Mechatronics Department Electrical Engineering Mathematics and Computer Science (EEMCS) Faculty University of Twente Enschede The Netherlands Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

Enabling aerial robots to handle dynamic contacts happening at non-vanishing speeds can enlarge the range of their applications. In this work, we propose an impactaware strategy to allow aerial multirotor robots to recover from impacts. The method leverages a reactive strategy not requiring low-level changes to the motion controller commonly implemented onboard quadrotors, which might be not viable or not desirable for most users. Extensive simulation tests show that the proposed strategy considerably increases the tolerated velocity at impact in tasks in which the robot either picks an object up or collides against an object to clear its way. Preliminary experimental results using Crazyflie UAVs are also presented.

关键词： Trajectory tracking Dynamics Lead Autonomous aerial vehicles Stability analysis Robustness Computer crashes Trajectory Robots Quadrotors

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Electric Vehicle Charging Demand Prediction using Multiresolution Sinusoidal Neural Network Optimized with Addax Optimization

Electric Vehicle Charging Demand Prediction using Multiresol...

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Trends in Material Science and Inventive Materials (ICTMIM), International Conference on

作者： Rajesh Munirathnam Rohit P. Jadhav Nilesh M. Mahajan Amit Barve M. E. Shashi Kumar Natrayan L Data & Analytics Division TechnoGen Inc Hillsborough New Jersey USA Department of Robotics and Automation D.Y. Patil College of Engineering Akurdi Pune Maharashtra Department of Computer Science and Engineering Parul Institute of Technology Faculty of Engineering and Technology Parul University Limda Gujarat Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru Karnataka Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

Electric Vehicle (EV) charging demand prediction, while essential for optimizing charging infrastructure and energy management, faces challenges such as data inaccuracies and uncertainties in user behavior patterns. These issues define inaccurate demand forecasts which cause the wrong placement of charging stations and distribution of energy. Also, as the pattern of the EV charging is not static may change due to many factors such as climate, time of day, price preference among others, the prediction models may not handle the dynamism and hence lower the reliability of the forecast results. To overcome these drawbacks, this manuscript proposes an efficient approach for EV charging demand prediction. The data is gathered from a dataset on EV charging. The data is then sent to pre-processing. Using the Maximum Correntropy Quaternion Kalman Filter (MCQKF), the pre-processing section eliminates missing values and normalizes the input. To forecast EV charging demand, the Multiresolution Sinusoidal Neural Network (MSNN) receives the results of the pre-processing data. MSNN’s weight parameter is optimized using Addax Optimization (AO). The proposed MSNN-AO is utilized within the MATLAB platform. The proposed MSNN-AO technique is compared with the existing techniques such as Long Short-Term Memory Neural Network (LSTMNN), Heterogeneous Spatial-Temporal Graph Convolutional Network (HSTGNN) and Artificial Neural Networks (ANN), respectively. The MSNN-AO method achieves an accuracy of 97%, precision of 95%, and a Root Mean Square Error (RMSE) of 2.2%, demonstrating its superior performance in predicting EV charging demand. This highlights the proposed method’s effectiveness in minimizing prediction errors, reducing RMSE by 22.36%, and improving precision by 14.89% compared to existing methods. The MSNN-AO method’s higher accuracy and precision, coupled with its robust performance, make it a reliable and efficient solution for EV charging demand forecasting.

关键词： Accuracy Uncertainty Quaternions Energy resolution Electric vehicle charging Reliability Kalman filters Spatial resolution Root mean square Optimization

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