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Tool geometry design and microstructure fabrication by micro flat-end milling on soft-brittle LiF surface

Journal of Manufacturing Processes 2025年 149卷 868-877页

作者： Lei, Hongqin Zhang, Zixiao Chen, Liang Guo, Yanqiu Cheng, Jian Zhao, Linjie Chen, Mingjun Yang, Dinghuai Chen, Guang State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin 150001 China School of Mechatronics Engineering Harbin Institute of Technology Harbin 150001 China

The LiF crystal with the three-layer step microstructure is vital in the laser-driven quasi-isentropic compression experiment. However, due to the high chemical activity and easy deliquescence of soft-brittle LiF crystals, brittle fracture can easily occur during the microstructure preparation achieved by the micro-milling technology. Therefore, it is essential to determine the optimal tool geometry and preferred processing parameters to achieve an ultra-smooth surface. A finite element (FE) model of the tool geometry optimization for LiF crystals is constructed based on dimensional analysis and the stress-strain curve obtained by nanoindentation tests. Micro-slot and microstructure preparation experiments are conducted to verify the cutting performance of the manufactured cutters with optimal geometry. It is found that the optimal negative rake/relief angles of side- and bottom edges are determined to be −35°/9° and − 25°/20° for tool I from the perspectives of the tensile stress, cutting force, and tool surface stress (σ₁), respectively. For tool II, optimal negative rake/relief angles of the side- and bottom edges are −60°/15° and − 55°/20°, respectively. The σ₁ of tool II is 110.3 MPa, which is 0.74 times and 0.95 times that of tool I (149 MPa) and the CBN tool (116.1 MPa), respectively, indicating that tool II has the most substantial wear resistance under the same processing parameters. Besides, compared with other tool structures, the cutting force and tensile stress are the smallest when using the tool II. The small stress can make the milling process stable, and the vibration and impact generated by the tool are smaller, which helps to make the micro-milled surface smooth. Therefore, the average surface roughness processed by tool II is 0.70 times and 0.47 times that of the CBN tool and tool I, respectively, further illustrating the best cutting performance of tool II. Furthermore, for tool II, the optimal spindle speed and feed per to

关键词： Cutting performance Flat-end milling LiF crystals Microstructure fabrication Tool geometry

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Effect of Pneumatic Based Hybrid Robotic Gripper for Safer Handling of Complex Geometries 11

Effect of Pneumatic Based Hybrid Robotic Gripper for Safer H...

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11th IEEE International Conference on Advances in Computing and Communications, ICACC 2024

作者： Sivaraj, Santhosh Ravi, Ajay Jose, Bibin Joe Kaliyannan, Gobinath Velu Sivakumar, Rajkamal Amalraj, Riya Catherine Easwari Engineering College Department of Robotics and Automation TamilNadu Chennai600089 India Kongu Engineering College Department of Mechatronics Engineering TamilNadu Perundurai638060 India

ISBN: (纸本)9798350379136

The present research work mainly concentrates on development of hybrid grippers with the integration of hard and soft components for achieving object manipulation. By combining pneumatic actuation with mechanical fingers, complex geometries can be handled effectively. Pneumatic hybrid gripper fabricated with PLA and silicone rubber offers adaptability and versatility. Resistive sensors over silicone surface of gripper lead to cost-effective force detection and tactile sensing. The proposed gripper was designed and analyzed using Fusion 360 and ANSYS. Inflatable silicone rubber and gripper body were fabricated using liquid casting and Fused Deposited Modelling 3D printing techniques. Real-time feedback sensors were employed with fabricated gripper to get better performance. Testing proves its capability to handle loads up to 500g with a force of 3.3N. Finally, the assembled hybrid gripper offers a versatile solution for robotic manipulation, ensuring stability and minimizing damage across various industries. © 2024 IEEE.

关键词： Silicones

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Au-Based Biocompatible Capacitive Strain Sensor 5

Au-Based Biocompatible Capacitive Strain Sensor

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5th IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2023

作者： Lee, Mugeun Kim, Hwajoong Kim, Jinho Jeong, Minji Lee, Jaehong Daegu Gyeongbuk Institute of Science and Technology Department of Robotics and Mechatronics Engineering Daegu Korea Republic of

ISBN: (纸本)9781665457330

Various strain sensors have been developed due to their capability to monitor a piece of basic physiological information. However, a lot of existing strain sensor is based on planar soft sensors, which have a few critical challenges such as structural mismatch and stable fixation on the target organ. Here, we present a 1-dimensional and biocompatible capacitive fiber strain sensor. The fiber strain sensor comprises a conductive fiber electrode based on Au, a representative biocompatible material. The structure of the fiber strain sensor is a double helix. The sensor shows high sensitivity of 9.8 and high stability. © 2023 IEEE.

关键词： Biocompatibility

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A Novel IOT-Based Medicine Consumption System for Elders

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SN Computer Science 2022年第6期3卷 471页

作者： Abdullah, Raiyaan Ahmed, Riad Jamal, Lafifa Department of Robotics and Mechatronics Engineering University of Dhaka Dhaka 1000 Bangladesh

This paper introduces an IoT based medicine consumption which enables the elderly person to take the right medicine at the right time. Usually elder people need to take medicine several times daily. And there is a high chance to forget the medication time. Sometimes they also struggle to remember the name of the medicine. Our system tackles this problem and ensures proper monitoring of medicine pill consumption. The system provides convenient hardware and software support to serve the medicine in a user friendly way. It contains an effective image preprocessing pipeline along with Optical Character Recognition (OCR) to detect names from medicine strips. This is also robust in detecting the medicine even if part of the strip is torn. To match the detected text with the prescribed medicine in the database Bi-directional Long Short-Term Memory (BiLSTM) networks are used. The proposed system is lighting invariant as users might consume medicine at different times of the day. Testing was performed in three different conditions—normal, medium and low lighting. The preprocessing technique plays a crucial role to detect the medicine in every lighting condition. The system also has an easy to use interface which is built using modern web technologies to enter or update the medicine consumption time. The proposed system is better than existing solutions, as it contains an array of different features including medicine dispensation, storing records, medicine detection, medicine consumption history, etc. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Automated medication Computer vision Deep learning Elderly assistance Image processing IOT Optical character recognition

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INTEGRATION OF DIGITAL TWINS INTO VIRTUAL COMMISSIONING PRACTICES

INTEGRATION OF DIGITAL TWINS INTO VIRTUAL COMMISSIONING PRAC...

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ASME 2024 International Mechanical engineering Congress and Exposition, IMECE 2024

作者： Guerra-Zubiaga, David A. Richards, Gershom Forsberg, Paul Nwachukwu, Kingsley Burroughs, Andrew Sabula, Eric Kuts, Vladimir Kennesaw State University Department of Robotics and Mechatronics Engineering MariettaGA United States Tallinn University of Technology Department of Mechanical and Industrial Engineering Estonia

ISBN: (纸本)9780791888605

The demands of manufacturing equipment often led to operating the equipment most effectively to maximize productivity or *** need for maximized operating time for the equipment has made the maintenance aspect resort to more creative means to address the risk of equipment *** failure of equipment can range in effect from producing poor quality products, hindering the manufacturing process, or endangering the workers around ***, the damage done to equipment that has malfunctioned often causes a greater loss in profit as the equipment would need to be fixed or *** knowledge gap is in how a manufacturing plant can balance good quality maintenance without hindering the operation of the equipment *** historical maintenance practice is to run scheduled maintenance breaks on the equipment, check for system variables that have been shown to correlate to a decaying system or wait for the equipment to *** Commissioning (VC), which is the practice of using a simulated model of a system to explore the potential of a system without impeding the operation of the physical system, seems to be a sound *** paper explores the potential of integrating Digital Twins, a real-time simulation of a system, into the practice of VC to gather real-time data from the manufacturing *** the ability to collect and store complex data, the algorithms used to diagnose the system would enlighten the industry to various observations of the current practice of maintaining and operating certain *** the effectiveness and potential of this new data have yet to be defined, the ability to obtain the data would prove to be a great step forward in optimizing the maintenance and operation practices within the manufacturing industry. Copyright © 2024 by ASME.

关键词： Computer aided logic design

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A Study on Improving the Performance of Dynamic Model Based Redundant Navigation System for Sensor Fault Scenarios

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Journal of Institute of Control, robotics and Systems 2025年第4期31卷 351-359页

作者： Ko, Bo Sung Choi, Hyeong Jun Jeon, Myung Jun Cho, Hyeon Jin Song, Jin Woo Department of Artificial Intelligence and Robotics and Convergence Engineering for Intelligent Drone AIRI Sejong University Korea Republic of Department of Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone AIRI Sejong University Korea Republic of Agency for Defense Development Maritime Technology Research Institute Korea Republic of

This study proposes a redundant navigation system for UUV (Unmanned Underwater Vehicle) utilizing a 6 DOF (Degree of Freedom) VDM (Vehicle Dynamic Model). The system is designed to enable safe UUV asset return when all navigation sensors become inoperable. Since it is impossible to perfectly determine VDM coefficients through water tank experiments, a method to improve VDM output accuracy in real time during UUV mission is necessary. Here in this study, we introduce real-time adaptive 6 DOF VDM output error compensation algorithm to enhance the performance of redundant navigation systems. This research aims to establish the foundation for backup navigation solutions in situations when critical UUV sensor failures occur. © ICROS 2025.

关键词： Water tanks

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RL-Based Control of UAS Subject to Significant Disturbance

RL-Based Control of UAS Subject to Significant Disturbance

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2025 International Conference on Unmanned Aircraft Systems, ICUAS 2025

作者： Chakraborty, Kousheek Hof, Thijs Alharbat, Ayham Mersha, Abeje Saxion University of Applied Science Smart Mechatronics and Robotics research group Enschede Netherlands University of Twente Robotics and Mechatronics research group Faculty of Electrical Engineering Mathematics & Computer Science Enschede Netherlands

ISBN: (纸本)9798331513283

This paper proposes a Reinforcement Learning (RL)-based control framework for position and attitude control of an Unmanned Aerial System (UAS) subjected to significant disturbance that can be associated with an uncertain trigger signal. The proposed method learns the relationship between the trigger signal and disturbance force, enabling the system to anticipate and counteract the impending disturbances before they occur. We train and evaluate three policies: a baseline policy trained without exposure to the disturbance, a reactive policy trained with the disturbance but without the trigger signal, and a predictive policy that incorporates the trigger signal as an observation and is exposed to the disturbance during training. Our simulation results show that the predictive policy outperforms the other policies by minimizing position deviations through a proactive correction maneuver. This work highlights the potential of integrating predictive cues into RL frameworks to improve UAS performance. © 2025 IEEE.

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Design and Implementation of Smart Automation for Sustainable Plastic Recycling with IoT Integration

Design and Implementation of Smart Automation for Sustainabl...

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International Conference on Computer and Applications (ICCA)

作者： Mahmoud Akram Khedr Amr Taher Bakkar Yossef Ayman Zedan Abdelrahman Youssef Abdelfattah Mahmoud Magdy Mostafa Abdelaziz Mechatronics & Robotics Engineering (Robotics Engineering) The British University in Egypt Cairo Egypt Mechatronics & Robotics Mechanical Engineering The British University in Egypt Cairo Egypt

ISBN: (数字)9798350367560

ISBN: (纸本)9798350367577

Plastic pollution poses a critical environmental challenge, infiltrating ecosystems and impacting human health. One innovative solution involves repurposing recycled plastics into interlocking blocks as a sustainable alternative to concrete in construction. However, manual production methods hinder scalability, efficiency, and product consistency while generating material waste. This research addresses these limitations by automating the production process using PLC and IoT technologies. The findings demonstrate that automation significantly enhances production rates, ensures consistent quality, and minimizes waste, thereby improving operational efficiency and environmental sustainability. IoT is integrated to enhance the system's capabilities by providing real-time connectivity and data exchange. The IoT dashboard, developed using HTML5, CSS3, JavaScript, PHP, and MySQL, enables the monitoring of sensor readings and production metrics, further optimizing the process. Additionally, the scalable and adaptable design supports broader implementation, promoting sustainable practices and advancing the circular economy.

关键词： Automation Scalability Programmable logic devices Process control Production Robot sensing systems Real-time systems Recycling Internet of Things Sustainable development

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Fully Tunable Fabry-Perot Cavity on Silicon Photonic MEMS with 10 nW Static Power Consumption

Fully Tunable Fabry-Perot Cavity on Silicon Photonic MEMS wi...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Park, Young J. Her, Man J. Kim, Dong U. Choi, Dong J. Lim, Min G. Hong, Myung S. Han, Sangyoon Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu42988 Korea Republic of

We report on a fully tunable Fabry-Perot cavity on the silicon photonic MEMS having only 10nW static power. Its resonance wavelength is tunable over the full FSR, and its transmissivity is tunable up to 3.8dB. © ... 详细信息

ISBN: (纸本)9781957171258

关键词： Electric power utilization

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AI-Driven Robotic System for Predictive Maintenance: Urban Road Defect Detection in Smart Cities

AI-Driven Robotic System for Predictive Maintenance: Urban R...

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International Conference on Computer and Applications (ICCA)

作者： Mahmoud Akram Khedr Mostafa Abdelaziz Mechatronics & Robotics Engineering (Robotics Engineering) The British University in Egypt Cairo Egypt Mechatronics & Robotics Engineering Mechanical Engineering The British University in Egypt Cairo Egypt

ISBN: (数字)9798350367560

ISBN: (纸本)9798350367577

This paper presents the development and evaluation of an integrated AI & robotic solution for predictive maintenance in smart cities, focusing on urban road defect detection. The proposed system integrates a mobile robot equipped with a high-resolution camera and a GPS module to capture video footage and geolocation data of road surfaces. The collected data is processed using cloud-based AI models, with YOLOv9 and Roboflow 3.0 Object Detection (Fast) identified as the most effective for analyzing footage to detect cracks and potholes. Experimental results validate the system's ability to accurately identify defects and generate timely reports for maintenance teams. While the approach proved effective in reducing maintenance costs, improving road safety, and extending infrastructure lifespan, limitations were identified, including GPS inaccuracies within a few meters and the challenges posed by an insufficient dataset. These findings emphasize the potential of robotic systems for enhancing urban infrastructure management while highlighting areas for future improvement.

关键词： Smart cities Robot vision systems Road safety Maintenance Sustainable development Surface cracks Surface treatment Predictive maintenance Global Positioning System Defect detection

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