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3rd International Conference on Experimental and Computational Mechanics in engineering, ICECME 2021

作者： Jalil, Saifuddin Muhammad Husaini Munadi, Rizal Sara, Ira Devi Doctoral Program School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh23111 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Department of Mechanical Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Department of Electrical Universitas Malikussaleh Lhokseumawe24351 Indonesia

ISBN: (纸本)9789811936289

Solar-powered dryers are still expensive and difficult to obtain for farmers with medium to low production capacity. For this reason, it is necessary to develop technology on a solar-powered dryer with a solar panel capacity of 200WP is equipped with a maximum power point tracker as an integrated solar collector with a photovoltaic system. The system in this solar-powered dryer consists of a solar panel tracker, a rotating aluminum cylinder net, a photovoltaic tracker, a battery bank, a microcontroller, and a DC/AC inverter. This system improves the performance of solar panels in the drying process of Moringa leaves. This design is expect to be the right system to ensure maximum results by providing solar radiation energy in the drying process of agricultural products. The aims goal to minimize problems in the drying of agricultural products experienced by farmers using an automatic dual-energy solar-powered dryer as a development innovation for the drying process. This study uses an experimental methodology and field data collection using a solar-powered dryer that has been analyzed and measured to obtain data comparisons. shows the maximum data of voltage and power response in positioning photovoltaic to produce the increased output power of photovoltaic array. Maximum application of powerpoint tracker on microcontroller based dual energy solar powered dryer on solar panels for drying moringa leaves produces the advantage of maximum energy absorption in solar panels and shortens the time in the drying process of moringa leaves. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Microcontrollers

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A Critical Review of Construction Using 3D Printing Technology

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Journal of engineering for Sustainable Buildings and Cities 2023年第2期4卷 020801页

作者： Hunbus, Ahmed AlMangour, Bandar Department of Mechanical Engineering King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Intelligent Manufacturing & Robotics King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia

The limitations of traditional construction methods can be addressed by 3D printing, a technology that prints structural buildings in layers, which reduces labor, construction time, wastage of material, and the overall cost of the structure. This paper presents a literature review of the state-of-the-art of construction using 3D printing technology. We present a definition and a brief history of 3D printing in construction and discuss research contributions. Subsequently, we describe methods of pre-printing design, 3D design programs for construction, and on-site printing methods. Furthermore, the nature of the materials used, the printing properties, and the different construction mixtures are discussed. Additionally, the effects of commonly used chemical admixtures on the properties of the concrete mix are reviewed. Moreover, mixture tests for ensuring the requirements are met and the challenges faced in the standards and regulations during printing are discussed. Subsequently, we consider successful real-world cases from various companies and controlled laboratory environments using 3D printing based on the printing method, materials used, and challenges faced by each company. Lastly, we present future recommendations to improve the capability and printing quality of 3D printing technology. © 2023 by ASME.

关键词： 3D printing building materials computer-aided design concrete construction environment extrusion sustainability water-cement ratio

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mechanical Properties Inside Origami-Inspired Structures: An Overview

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Applied Mechanics Reviews 2025年第1期77卷 011001页

作者： Yan, Peng Huang, Hailin Meloni, Marco Li, Bing Cai, Jianguo Department of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518052 China Harbin Institute of Technology Shenzhen518052 China Key Laboratory of C & PC Structures of Ministry of Education National Prestress Engineering Research Center Southeast University Nanjing211189 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Harbin Institute of Technology Shenzhen518052 China Key University Laboratory of Mechanism Machine Theory and Intelligent Unmanned Systems of Guangdong Habin Institute of Technology Shenzhen518052 China

In recent decades, origami has transitioned from a traditional art form into a systematic field of scientific inquiry, characterized by attributes such as high foldability, lightweight frameworks, diverse deformation modes, and limited degrees-of-freedom. Despite the abundant literature on smart materials, actuation methods, design principles, and manufacturing techniques, comprehensive reviews focusing on the mechanical properties of origami-inspired structures are relatively rare and unsystematic. This review aims to fill this void by analyzing and summarizing the significant studies conducted on the mechanical properties of origami-inspired structures from 2013 to 2023. We begin with an overview that includes essential definitions of origami, classical origami patterns, and their associated tessellated or stacked structures. Following this, we delve into the principal dynamic modeling method for origami and conduct an in-depth analysis of the key mechanical properties of origami-inspired structures. These properties include tunable stiffness, bistability and multistability, metamechanical properties demonstrated by origami-based metamaterials, and bio-inspired mechanical properties. Finally, we conclude with a comprehensive summary that discusses the current challenges and future directions in the field of origami-inspired structures. Our review provides a thorough synthesis of both the mechanical properties and practical applications of origami-inspired structures, aiming to serve as a reference and stimulate further research. © 2025 American Society of mechanical Engineers (ASME). All rights reserved.

关键词： Degrees of freedom (mechanics)

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Business Process Models in Small and Medium Manufacturing Industries: An Overview

Business Process Models in Small and Medium Manufacturing In...

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IEEE International Conference on Industrial engineering and engineering Management

作者： Muhammad Zainuddin Fathoni Anna Maria Sri Asih Muhammad Arif Wibisono Industrial Engineering Program Department of Mechanical and Industrial Engineering Faculty of Engineering Universitas Gadjah Mada Yogyakarta Indonesia Industrial Engineering Program Faculty of Engineering Universitas Muhammadiyah Gresik Gresik Indonesia

ISBN: (数字)9798350386097

ISBN: (纸本)9798350386103

Business process management has become a critical focus for many manufacturing industries. The function of business process management is to achieve organizational goals through the improvement, management, and control of business processes. A crucial step for companies in visualizing, analyzing, and optimizing workflows is business process modeling. Business Process Model and Notation (BPMN) is a tool widely used to visualize business process flows. This study employs a qualitative approach, using interviews conducted with seven small and medium-sized industries (SMIs). Important findings identified in SMI, in the recording process, both upstream and downstream processes, are still carried out manually, this is related to the potential for implementing enterprise resource planning (ERP). Regarding the processes on the production floor, in addition to paying little attention to implementing record-keeping systems, SMIs also tend to neglect forecasting methods, warehouse management, and the use of material handling.

关键词： Manufacturing industries Visualization Process modeling Process control Companies Business process management Recording Manufacturing Floors Business

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UAV Forest Fire Detection based on RepVGG-YOLOv5

UAV Forest Fire Detection based on RepVGG-YOLOv5

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Song, Kang Zhang, Yueyuan Lu, Bo Chi, Wenzheng Sun, Lining Department of Automation Engineering School of Mechanical and Electrical Engineering Soochow University Suzhou215137 China Ningbo Institute of Materi-als Technology & Engineering Chinese Academy of Sciences Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo315201 China Soochow University Robotics and Microsystems Center School of Mechanical and Electrical Engineering Suzhou215137 China

ISBN: (纸本)9781665481090

The safety of forest resources is of great im-portance to natural and public safety, and the efficient and accurate detection of forest fires is an issue of close concern. Considering the limitations of traditional forest fire detection methods, such as the limited range of view from watchtowers and insufficient resolution of satellite images, a deep learning-based Unmanned Aerial Vehicle (UAV) fire detection system has been proposed. With its high mobility, images of forest fires can be captured by camera-equipped UAV and transmitted to the ground station in real time. The ground station uses a deep learning object detection algorithm to achieve the recognition of fire. In this paper, we choose the state-of-the-art object detection algorithm YOLOv5 for the UAV forest fire detection scenario, and to further improve the detection performance of YOLOv5, we propose RepVGG-YOLOv5 by drawing on the RepVGG network, a training-time multi-branch topology with an inference-time plain architecture. Then we test the models on a self-built dataset, and the experimental results show that the improved RepVGG-YOLOv5 model outperforms the YOLOv5 model in terms of detection performance and detection speed, which proves the feasibility of this paper's model in the UAV forest fire detection systems and the effectiveness of the model improvement. Furthermore, the great potential of this paper's object detection model for real-time applications of accurate forest fire detection has also been demonstrated. © 2022 IEEE.

关键词： Object detection

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Feedforward Mutual-Information Anomaly Detection: Application to Autonomous Vehicles

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Journal of Autonomous Vehicles and Systems 2022年第4期2卷 041003页

作者： McKee, Sasha M. Haddadin, Osama S. Leang, Kam K. Dynamics and Autonomous Robotics Laboratory Department of Mechanical Engineering and Robotics Center University of Utah Salt Lake CityUT84112 United States L3Harris Technologies Salt Lake CityUT84116 United States

This paper describes a mutual-information (MI)-based approach that exploits a dynamics model to quantify and detect anomalies for applications such as autonomous vehicles. First, the MI is utilized to quantify the level of uncertainty associated with the driving behaviors of a vehicle. The MI approach handles novel anomalies without the need for data-intensive training;and the metric readily applies to multivariate datasets for improved robustness compared to, e.g., monitoring vehicle tracking error. Second, to further improve the response time of anomaly detection, current and past measurements are combined with a predictive component that utilizes the vehicle dynamics model. This approach compensates for the lag in the anomaly detection process compared to strictly using current and past measurements. Finally, three different MI-based strategies are described and compared experimentally: anomaly detection using MI with (1) current and past measurements (reaction), (2) current and future information (prediction), and (3) a combination of past and future information (reaction-prediction) with three different time windows. The experiments demonstrate quantification and detection of anomalies in three driving situations: (1) veering off the road, (2) driving on the wrong side of the road, and (3) swerving within a lane. Results show that by anticipating the movements of the vehicle, the quality and response time of the anomaly detection are more favorable for decision-making while not raising false alarms compared to just using current and past measurements. Copyright © 2024 by ASME.

关键词： Autonomous vehicles

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Virtual-Work Based Shape-Force Sensing for Continuum Instruments with Tension-Feedback Actuation

arXiv

引用

arXiv 2025年

作者： Zhang, Guoqing Chen, Zihan Wang, Long Department of Mechanical Engineering Stevens Institute of Technology NJ United States Cornerstone Robotics Limited Hong Kong

Continuum instruments are integral to robot-assisted minimally invasive surgery (MIS), with tendon-driven mechanisms being the most common. Real-time tension feedback is crucial for precise articulation but remains a challenge in compact actuation unit designs. Additionally, accurate shape and external force sensing of continuum instruments are essential for advanced control and manipulation. This paper presents a compact and modular actuation unit that integrates a torque cell directly into the pulley module to provide real-time tension feedback. Building on this unit, we propose a novel shape-force sensing framework that incorporates polynomial curvature kinematics to accurately model non-constant curvature. The framework combines pose sensor measurements at the instrument tip and actuation tension feedback at the developed actuation unit. Experimental results demonstrate the improved performance of the proposed shape-force sensing framework in terms of shape reconstruction accuracy and force estimation reliability compared to conventional constant-curvature methods. Copyright © 2025, The Authors. All rights reserved.

关键词： Robotic surgery

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Origami-Inspired Soft Gripper with Tunable Constant Force Output

arXiv

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arXiv 2025年

作者： Ni, Zhenwei Xu, Chang Qin, Zhihang Zhang, Ceng Tang, Zhiqiang Wang, Peiyi Laschi, Cecilia Department of Mechanical Engineering and Advanced Robotics Centre National University of Singapore Singapore Singapore centre Singapore Singapore

Soft robotic grippers gently and safely manipulate delicate objects due to their inherent adaptability and softness. Limited by insufficient stiffness and imprecise force control, conventional soft grippers are not suitable for applications that require stable grasping force. In this work, we propose a soft gripper that utilizes an origami-inspired structure to achieve tunable constant force output over a wide strain range. The geometry of each taper panel is established to provide necessary parameters such as protrusion distance, taper angle, and crease thickness required for 3D modeling and FEA analysis. Simulations and experiments show that by optimizing these parameters, our design can achieve a tunable constant force output. Moreover, the origami-inspired soft gripper dynamically adapts to different shapes while preventing excessive forces, with potential applications in logistics, manufacturing, and other industrial settings that require stable and adaptive operations. Copyright © 2025, The Authors. All rights reserved.

关键词： Grippers

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Theoretical Data-Driven MobilePosenet: Lightweight Neural Network for Accurate Calibration-Free 5-DOF Magnet Localization

arXiv

引用

arXiv 2025年

作者： Xie, Wenxuan Zhang, Yuelin Shan, Jiwei Sun, Hongzhe Tan, Jiewen Cheng, Shing Shin Department of Mechanical and Automation Engineering T Stone Robotics Institute The Chinese University of Hong Kong Hong Kong

Permanent magnet tracking using the external sensor array is crucial for the accurate localization of wireless capsule endoscope robots. Traditional tracking algorithms, based on the magnetic dipole model and Levenberg-Marquardt (LM) algorithm, face challenges related to computational delays and the need for initial position estimation. More recently proposed neural network-based approaches often require extensive hardware calibration and real-world data collection, which are time-consuming and labor-intensive. To address these challenges, we propose MobilePosenet, a lightweight neural network architecture that leverages depthwise separable convolutions to minimize computational cost and a channel attention mechanism to enhance localization accuracy. Besides, the inputs to the network integrate the sensors' coordinate information and random noise, compensating for the discrepancies between the theoretical model and the actual magnetic fields and thus allowing MobilePosenet to be trained entirely on theoretical data. Experimental evaluations conducted in a 90 × 90 × 80 mm workspace demonstrate that MobilePosenet exhibits excellent 5-DOF localization accuracy (1.54 ± 1.03 mm and 2.24 ± 1.84◦) and inference speed (0.9 ms) against state-of-the-art methods trained on real-world data. Since network training relies solely on theoretical data, MobilePosenet can eliminate the hardware calibration and real-world data collection process, improving the generalizability of this permanent magnet localization method and the potential for rapid adoption in different clinical settings. © 2025, CC BY-NC-ND.

关键词： Calibration

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3D-Printed Modified Pinch Valve for Controlling Pneumatic Artificial Muscles

3D-Printed Modified Pinch Valve for Controlling Pneumatic Ar...

引用

Automation, Control and robotics engineering (CACRE), International Conference on

作者： Mohamed Gaber David Branson Ian Ashcroft Khaled Goher Department of Mechanical Material and Manufacturing Engineering University of Nottingham Nottingham UK Mechatronics and Industrial Robotics Minia Egypt Mechanical and Industrial Engineering Sultan Qaboos University Oman

ISBN: (数字)9798350350302

ISBN: (纸本)9798350350319

Soft robotics is a rapidly growing fields in the past decade. Despite its compliant nature and low weight, which is suitable for human interaction applications, still suffering from the low-speed actuation compared to the rigid actuators. In this paper, a 3D printed modified pinch valve is presented to control a pneumatic artificial muscle. This valve can provide high flow rate which can increase the pneumatic muscles actuation speed. 3D printed artificial muscle is used to validate the controllability of the valve. The muscle frequency increased from 0.1 Hz to reach 3.5 Hz. A chain of five muscles is controlled and reach 1.5 Hz.

关键词： Artificial muscles Three-dimensional displays Automation Wearable robots Muscles Soft robotics Valves

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