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Performance of Pico Scale Turgo Turbine in Difference the Nozzle Diameter

International Journal of Fluid Machinery and Systems 2022年第1期15卷 130-136页

作者： Adanta, Dendy Syofii, Imam Sari, Dewi Puspita Wiyono, Apri Department of Mechanical Engineering Faculty of Engineering Universitas Sriwijaya Indralaya South Sumatera 30662 Indonesia Study Program of Mechanical Engineering Education Universitas Sriwijaya Indralaya South Sumatera 30662 Indonesia Department of Automotive Engineering Education Universitas Pendidikan Indonesia Bandung West Java 40154 Indonesia

Pico scale Turgo turbine (PSTT) is proper as a power plant to be applied for remote areas because of its simple construction, cheap investment cost, and good performance above 35%. However, the design of PSTT is still based on estimation because the wheel diameter and nozzle diameter (D/d) ratio are not yet in reasonable agreement. Furthermore, the literature on D/d affects PSTT performance has not been comprehensive. Accordingly, this study investigates the relation of D/d on PSTT performance and its effect on the U/Vjet. Based on experimental results, the relation of D/d and U/Vjet to PSTT performance is parabolic (expressed by polynomial quadratic);the maximum configuration of D/d of 22, and U/Vjet between 0.42 to 0.47. © 2022, Turbomachinery Society of Japan. All rights reserved.

关键词： Energy conversion

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Experimental study of hardness and corrosion properties of AZ91 magnesium alloy after electroless nano composite coating

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Materials Today: Proceedings 2022年 62卷 2926-2929页

作者： Sayyad, Dr Farook Sayyad, Dr Shabnam Ansari, Dr. Md. Imran Mechanical Engineering Department. Dr. D. Y. Patil School of Engineering Pune India Associate Professor Computer Engineering Department. AISSMS College of Engineering Pune India Robotics & Automation Department. Bharati Vidyappeth Pune India

Magnesium and its numerous alloys have excellent rigidity, low density, and electromagnetic protection properties, making them ideal for usage in numerous industrial components. Magnesium alloys have a significant disadvantage in terms of corrosion and hardness, which restricts their practical uses. One of the most recent ways for improving the corrosion and hardness of Mg alloys is electro-less nano-coating. The experimental research of corrosion and hardness of AZ91 Mg Alloy due to nano composite coating procedures of ENi-B-TiO2is examined in this study. It would be useful to conduct a thorough examination, including experimental analysis, into the possibilities of increasing the deposit efficiency and characteristics of composite deposits by designing a suitable bath composition and operating circumstances. It has been discovered that as the concentration of titania particles increases, so does the surface hardness of coatings. The optimal concentration of second-phase (titania) particles and bath agitation are also examined in order to get superior surface properties following nano coating. Following this nano coating, the materials may be employed for a variety of materials engineering applications. © 2022

关键词： Surface properties

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Investigation of thermal conductivity and physical properties of oil palm trunks/ramie fiber reinforced biopolymer hybrid composites as building bio-insulation

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Materials Today: Proceedings 2022年 60卷 373-377页

作者： Mawardi, Indra Aprilia, Sri Faisal, Muhammad Rizal, Samsul Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Mechanical Engineering Politeknik Negeri Lhokseumawe Lhokseumawe24301 Indonesia Department of Chemical Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Mechanical Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia

The current buildings insulating materials in the construction market, which mainly consist of synthetic materials, have a high performance in thermal resistivity. However, they negatively impact the human health and the environment, thereby finding bio-insulating materials is necessary. This research investigates the thermal conductivity and physical performance of oil palm trunks/ramie fibers reinforced biopolymer hybrid composites for thermal insulation of buildings. The hybrid composites were further prepared using oil palm trunk particles, ramie fiber as the reinforcement, and tapioca starch as a biopolymer binder. All the manufactured hybrid composites exhibited thermal conductivity in a range of 0.0723 W/mK to 0.1344 W/mK and density of 732 kg/m3 to 801 kg/m3, respectively. Sample C1, with a density of 732 kg/m3 had the lowest thermal conductivity of (0.0723 W/mK). Moreover, the minimum absorbed water (53.66%) and thickness swelling (21.36%) were found in the C1 sample hybrid composites after 24-hours immersion in water. Thermal conductivity performance was influenced positively by physical properties. Therefore, the results of this research show that waste oil palm trunks and ramie fiber could be used as a thermal insulating material for buildings. © 2022

关键词： Thermal conductivity

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Understanding Approaching Behavior for a Wheelchair with a Robotic Arm: A Human Study for Improving Autonomous Navigation

Understanding Approaching Behavior for a Wheelchair with a R...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Sarathchandra, H.A. Harindu Y. Priyanayana, K.S. Jayasekara, A.G.B.P. Gopura, R.A.R.C. University of Moratuwa Intelligent Service Robotics Group Department of Electrical Engineering Moratuwa10400 Sri Lanka University of Moratuwa Bionics Laboratory Department of Mechanical Engineering Moratuwa10400 Sri Lanka

ISBN: (纸本)9798350337020

An intelligent wheelchair is a system that evolves its functions for the well-being of humankind in the present status of robotics. Due to the active evolution of these wheelchair systems wheelchair-mounted robotic arms can be caught as the next level of development. However, the current state of intelligence is far behind the expansion and this lack causes to add extra cognitive load on handicapped users. Most of the available hindrances to autonomous operation could certainly be achieved by replicating natural human behaviors. Under these circumstances understanding human cognition on positioning a wheelchair around a table will drastically ease the autonomous object manipulation tasks by these systems. Hence to understand natural human behavior, a human study with three sub-studies was designed and reveal the prominent factors behind human cognition. Results were analyzed statistically to identify the significance of the considered factors. In lite of the study, approaching and positioning of the wheelchair mainly depend on the object position, obstacle position, and obstacles configuration within the considered workspace. Further orientation mainly depends on the object's position and approaching direction. Besides, these outcomes would be extremely beneficial in synthesizing human cognition to build human-friendly mobile robots for uplifting users' lives as well. © 2023 IEEE.

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Inverse Origami Design Model for Soft Robotic Development

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Soft robotics 2024年第1期11卷 131-139页

作者： Hu, Qiqiang Li, Junyang Tao, Jian Dong, Erbao Sun, Dong Department of Biomedical Engineering City University of Hong Kong Hong Kong Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei China Department of Electronic Engineering Ocean University of China Qingdao China CAS Key Laboratory of Mechanical Behavior and Design of Materials School of Engineering Science University of Science and Technology of China Hefei China Centre for Robotics and Automation Shenzhen Research Institute of City University of Hong Kong Shenzhen China

Origami provides an opportunity to construct a wide range of 3D functional structures by folding a flat sheet. It can be used to develop various soft functional robots by combining soft smart actuators. However, a simple and an effective model that can address the challenging problem of designing origami patterns to connect origami design with robotics is lacking, thereby greatly increasing the threshold of soft origami robots and hindering its development. This study proposes an easy-to-use inverse origami design model to generate the flat crease pattern from the desired folded shape automatically while simulating origami morphing by simply providing the shape parameters or 2D shape graphics. This method overcomes the difficulty of origami design and enables a close connection between origami and robotics. Through this method, various soft origami robots can be developed with low design complexity and time cost to achieve different functions, thereby promoting the development of soft origami robots. © 2024 Mary Ann Liebert Inc.. All rights reserved.

关键词： Robots

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ANN-based analysis of thin film Maxwell fluid dynamics with electro-osmotic and nonlinear thermal effects

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Alexandria engineering Journal 2025年 127卷 392-410页

作者： Din, Irfan Saif Ud Siddique, Imran Zahid, Zohaib Nadeem, Muhammad Islam, S. Department of Mathematics University of Management and Technology Lahore54770 Pakistan Department of Mathematics University of Sargodha Sargodha40100 Pakistan Mathematics in Applied Sciences and Engineering Research Group Scientific Research Center Al-Ayen University Nasiriyah64001 Iraq Federal University of Technology Paran UTFPR Mechanical Engineering Department DAMEC Postgraduate Program in Mechanical and Materials Engineering PPGEM Research Center for Rheology and Non-Newtonian Fluids CERNN R. Deputado Heitor Alencar Furtado 5000 - Bloco N - Ecoville PR Curitiba81280-340 Brazil Department of Mechanical Engineering Prince Mohammad Bin Fahd University P.O Box 1664 Al Khobar31952 Saudi Arabia

An intelligent Levenberg-Marquardt Technique (LMT) with artificial neural network (ANN) backpropagation (BP) has been used to analyze the thermal heat and mass transfer of unsteady magnetohydrodynamics (MHD) thin film Maxwell fluid flow in a porous inclined sheet with an emphasis on the influence of electro-osmosis. The activation energy, chemical reaction, mixed convection, melting heat, joule heating, nonlinear thermal radiation, variable thermal conductivity and thermal source/sink effect are taken into account for transport expressions. Appropriate similarity transformations were used to translate partial differential equations (PDEs) into ordinary differential equations (ODEs). After that, the built-in MATLAB BVP4C method was used for a data set assessed using the LMT-ANN strategy to solve these ODEs. The physical significance of the designed parameters is thoroughly discussed in both tabular and graphical form. The observed R-squared value is 1, and the mean square error up to 10−15 demonstrates the LMT-ANN's precise and accurate computing capability. The model's validity is also confirmed by the strong agreement between the obtained predicted findings and numerical results, which shows a high degree of accuracy within the range of 10−8 to 10−11. It was revealed that radiative heat considerably increases surface heat energy through accumulation, improving heat transfer qualities, whereas fluid temperature is raised by Joule dissipation, variable thermal conductivity, and heat source. Electro-osmosis and magnetic fields reduce fluid velocity by generating opposing forces that resist the flow. This problem works best in microscale fluid transport systems and drilling operations, where magnetic and electro-osmotic control are crucial. These systems include micro-electromechanical systems, lab-on-a-chip devices, porous geological formations, and thin film coating technologies. © 2025 The Authors

关键词： Activation energy

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RoboCup 2024 Adult-Sized Humanoid Champions Guide for Hardware, Vision, and Strategy

RoboCup 2024 Adult-Sized Humanoid Champions Guide for Hardw...

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27th RoboCup International Symposium, 2024

作者： Fernandez, Gabriel I. Liu, Yeting Togashi, Colin Gillespie, Kyle Zhu, Alvin Wang, Quanyou Wang, Yicheng Nam, Hyunwoo Wang, Shiqi Hou, Ruochen Zhu, Mingzhang Navghare, Aditya Xu, Alex Zhu, Taoyuanmin Sung Ahn, Min Flores Alvarez, Arturo Quan, Justin Hong, Ethan Hong, Dennis W. RoMeLa Robotics and Mechanisms Laboratory Department of Mechanical and Aerospace Engineering Geffen Academy at UCLA University of California Los AngelesCA90095 United States

ISBN: (纸本)9783031858581

Through the course of RoboCup 2024 our team scored 45 goals over 6 seated matches and, ultimately, unseated the longstanding reigning champions in our division with a victory of 6 goals to 1. In this paper we will focus on hardware, vision, and high-level decision making while briefly touching upon others. Our humanoid robot named Artemis is around 1.4 m tall, weighing over 35 kg. Artemis is designed to be lightweight featuring quasi-direct drive actuators with motor housings which serve as drive inputs to the next motor at the hips to save weight. For the tournament the foot was redesigned to allow for increased kicking accuracy, contact rate, and durability when stepped on. For vision we introduce several practical filters and an additional component termed proximity to address potential failure cases when an opponent or obstacle is very near. Finally, we discuss the strategies and overall planning architecture used during the tournament for high level decision making. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Anthropomorphic robots

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Hyperspectral Image Classification Using Custom Spectral Convolutional Neural Networks (CSCNNs) 14

Hyperspectral Image Classification Using Custom Spectral Con...

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14th International Conference on Information Science and Technology, ICIST 2024

作者： Rouamba, Stephanie Zhang, Nian Mahmoud, Wagdy Thompson, Lara Denis, Max Deksissa, Tolessa University of the District of Columbia Department of Electrical and Computer Engineering WashingtonDC United States University of the District of Columbia Department of Mechanical Engineering Biomedical Engineering Program WashingtonDC United States University of the District of Columbia Department of Mechanical Engineering WashingtonDC United States Water Resources Research Institute University of the District of Columbia WashingtonDC United States

ISBN: (纸本)9798350353334

Custom spectral convolutional neural networks (CSCNNs) combine the strengths of convolutional neural networks with specialized spectral processing, resulting in improved classification accuracy by effectively capturing subtle variations in hyperspectral data. This paper proposes a CSCNNs based approach to classify hyperspectral images. The proposed method leverages the high-dimensional spectral data inherent in hyperspectral images, employing convolutional layers specifically designed to capture spectral-spatial features. By reducing dimensionality through principal component analysis and creating image patches, the model is trained to recognize complex patterns across different spectral bands. In addition, a comprehensive analysis of CSCNN performance is carried out, focusing on its architecture, key features, and benefits in computational efficiency and spectral representation. Experimental results on datasets such as Salinas-A, Pavia University (Pavia-U), and Indian Pines demonstrate that the CSCNN model surpasses traditional methods, achieving higher classification accuracy and more robust performance metrics like overall accuracy (OA), average accuracy (AA), and Kappa coefficient. The proposed model achieved an overall accuracy (OA) of 98.2%, 96.7%, and 92.5% for the Salinas-A, Pavia-U, and Indian Pines datasets, respectively. The model's average accuracy (AA) was 97.5%, 95.4%, and 89.8% for the same datasets. Furthermore, the model attained Kappa coefficients of 97.7%, 95.2%, and 89.1% for Salinas-A, Pavia-U, and Indian Pines, respectively. © 2024 IEEE.

关键词： Convolutional neural networks

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Acoustic Reflector-Integrated Encapsulation for Needle-Aligned Ultrasound-Guided PCNL Access

Acoustic Reflector-Integrated Encapsulation for Needle-Align...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Palisetti, Abhinav King, Alexander Priestner, Cabot Yi, Haohao Tang, Yichuan Murakami, Ryo Zhang, Haichong K. Worcester Polytechnic Institute Biomedical Engineering Department WorcesterMA United States Worcester Polytechnic Institute Mechanical Engineering Department WorcesterMA United States Worcester Polytechnic Institute Robotics Engineering Department WorcesterMA United States

ISBN: (纸本)9798350346459

Percutaneous Nephrolithotomy (PCNL) is a procedure to remove kidney stones by needle insertion into the kidney followed by dilation of the needle path for surgical tools to enter and stones to be removed. Current techniques for needle insertion either do not visualize the needle entry point into tissue, or require careful hand-hand coordination to visualize the needle. This research aims to develop a stable system to visualize the entire needle insertion path during ultrasound-guided PCNL. A novel method, designed by Tang et al. (2022), implemented two parallel acoustic reflectors to reflect ultrasound into the patient, and a needle inserted through a gap between the reflectors. Results showed the ability to visualize the needle path at any needle pitch angle, and, most importantly, the ability to visualize the needle from its insertion point to the target. In this current research, a modular design was created that allowed any probe to fit into the system by altering just three components. Several structural modifications were made to make the system waterproof, allowing the fluid material that housed the reflectors to be replaced with a fluid with better sound transmission. An algorithm was created to allow better needle tip and needle path visualization by analyzing raw image data. Custom acoustic impedance-matched materials were used to allow better sound transmission and better image quality. Through multiple tests and a mathematical model, the team developed an optimal combination of materials that produced the best image quality, determined through Contrast to Noise Ratio (CNR), Signal to Noise Ratio (SNR), and Full-Width Half-Maximum (FWHM). © 2023 IEEE.

关键词： Signal to noise ratio

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Data-Driven Tracking Control of a Cushion Robot with Safe Autonomous Motion Considering Human-Machine Interaction Environment

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Journal of Dynamic Systems, Measurement and Control 2025年第4期147卷 041003页

作者： Sun, Ping Shan, Rui Chang, Hongbin Wang, Shuoyu School of Artificial Intelligence Shenyang University of Technology Shenyang110870 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110169 China Department of Intelligent Mechanical Systems Engineering Kochi University of Technology Kochi7828502 Japan

This study proposes a data-driven safety controller with velocity constraints for a cushion robot. We constructed a mathematical description of the human-machine interaction environment by decomposing the generalized input force and coefficient matrix in the dynamic model. We established a new equivalent data model, which considered various human-machine interaction environments using a pseudo-Jacobian matrix. A stochastic configuration network (SCN) estimation method for variations in the human-machine interaction environment was proposed, with hidden layer nodes added at random. We designed a safe autonomous navigation path and proposed a data-driven control method that limited the actual velocity while stabilizing the tracking error system. In addition, the desired motion velocity of the robot was designed. This approach has the advantage of ensuring safety at a specified velocity. We also demonstrated and validated the effectiveness of the proposed data-driven algorithm using simulation-based comparative analysis and an experimental study. Copyright © 2024 by ASME.

关键词： Stochastic systems

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