检索结果-内蒙古大学图书馆

Study on Dry Electrical Discharge Assisted Grinding of SiCp/Al Composite

Chinese Journal of Mechanical engineering 2025年第1期38卷 106-118页

作者： Yanjun Lu Yuming Huang Xiaobu Liu Rong Cheng Shunda Zhan Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China School of Intelligent Manufacturing and Equipment Shenzhen Institute of Information TechnologyShenzhen 518172China

SiC-reinforced aluminum matrix(SiCp/Al)composite is widely utilized in the aerospace,automotive,and electronics industries due to the combination of ceramic hardness and metal ***,the significant disparity in properties between SiC particles and the aluminum matrix results in severe tool wear and diminished surface quality during conventional *** study proposes an environmentally friendly and clean dry electrical discharge assisted grinding process as an efficient and low-damage machining method for SiCp/*** experimental platform was set up to study the impact of grinding and discharge process parameters on surface *** study compared the chip formation mechanism and surface quality between dry electrical discharge assisted grinding and conventional grinding,revealing relationships between surface roughness,grinding force,grinding temperature,and related *** results indicate that the proposed grinding method leads to smaller chip sizes,lower grinding forces and temperatures,and an average reduction of 19.2%in surface roughness compared to conventional *** axial,tangential,and normal grinding forces were reduced by roughly 10.5%,37.8%,and 23.0%,*** optimized process parameters were determined to be N=2500 r/min,vf=30 mm/min,a=10μm,E=15 V,f=5000 Hz,dc=80%,resulting in a surface roughness of 0.161μm.

关键词： Dry electrical discharge assisted grinding SiCp/Al composite Surface quality Grinding force Grinding temperature

来源：评论

学校读者我要写书评

暂无评论

Design of Burr Detection System for Inside the Shaft Holes Using Computer Vision 2

Design of Burr Detection System for Inside the Shaft Holes U...

引用

2nd International Conference on Mechanics, Electronics, Automation and Automatic Control, MEAAC 2024

作者： Kawvijit, Nattapat Wanthong, Irin Srisertpol, Jiraphon Khaengkarn, Sorada School of Mechatronics Engineering Institution of Engineering Suranaree University of Technology Nakhon Ratchasima Thailand

ISBN: (纸本)9781643685403

The automotive sector aims to reduce the production of scraps or burrs, which requires the adoption of a deburring procedure and the utilization of inspection techniques. The existing inspection procedures involve the use of visual examination techniques. Nevertheless, as a result of the substantial quantity of components that necessitate examination and the small dimensions of the hole. Inspectors get weariness after prolonged periods of work. It commits errors with such ease. This study aims to investigate and develop a system for the inspection of burrs in shaft holes resulting from drilling operations. A system was designed to support the workpiece for examination holes of two different diameters-5 millimeters and 3 millimeters. The process of inspection sequentially examines each hole individually after the workpiece is positioned within the fixture. The image will be captured by the system via web camera, subsequently imported into the image analysis procedure via the blob analysis method, and finally converted to binary format. In the case of a defective hole, including the burr, a clean hole image will display a larger pixel on the bright or white side compared to the white side pixels. The confusion matrix was utilized for the purpose of evaluating accuracy. The 320 x 240 resolution with F-Score of 0.933 was selected for the system due to its efficient processing speed (18.6 seconds), lack of false positives, and capacity to optimize storage space. Â© 2024 The Authors.

关键词： Inspection

来源：评论

学校读者我要写书评

暂无评论

Review of Applications in Wheelchair Control Using Emotiv Insight and Emotiv Epoc Headsets 6

Review of Applications in Wheelchair Control Using Emotiv In...

引用

6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Thwe, Yamin Maneetham, Dechrit Crisnapati, Padma Nyoman Department of Mechatronics Engineering Rajamangala University of Technology Thanyaburi Thanyaburi Thailand

ISBN: (纸本)9798331539603

This review paper investigates the applications of two consumer-grade EEG headsets, Emotiv Epoc and Emotiv Insight, in controlling wheelchairs through brain-computer interfaces (BCI). By systematically analyzing 34 studies, the paper explores the contributions, methodologies, and signal processing techniques used in developing BCI-controlled wheelchair-controlled systems. The Emotiv Epoc, equipped with 14 channels, has been a popular choice for motor imagery-based control systems. These systems have demonstrated accuracy rates of up to 90% in controlled environments. However, real-world robustness remains a challenge, as mental focus and signal stability can affect performance, leading to limitations in naturalistic settings. Conversely, Emotiv Insight, with its more compact 5-channel setup, has gained traction in simpler, user-friendly applications. Often, these systems integrate multimodal inputs, combining EEG signals with facial expressions or other control mechanisms. Despite its lower resolution compared to the Epoc, the Insight has achieved notable accuracy rates, reaching up to 91% in hybrid control systems. This review discusses the strengths and limitations of both headsets, identifying key challenges in signal processing, control accuracy, and the usability for assistive mobility in real-world settings. The paper also highlights the potential improvements necessary to advance the development of more practical, reliable BCI systems for individuals with mobility impairments. © 2024 IEEE.

关键词： Wheelchairs

来源：评论

学校读者我要写书评

暂无评论

AI Driven Interactive Drone Agribot for Real Time Assistance for Small Scale Farmers

AI Driven Interactive Drone Agribot for Real Time Assistance...

引用

2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer engineering, ICSSEEC 2024

作者： Jayaraman, Thiyagarajan Saran Kumar, E. Prem Kumar, B. Sivasubramanian, N. Jeevansurya, R. Sona College of Technology Department of Mechatronics Engineering Tamilnadu Salem India

ISBN: (纸本)9798350378177

The primary goal of this work is to help farmers and people identify plant diseases more precisely or to confirm if they have been afflicted by the illness or not. Our proposed model was trained from scratch using a set of plant leaf picture samples to categorize and identify the presence of illnesses. In order to extract characteristics from a particular plant leaf image and categorize it to determine whether any of the plants are sick with various diseases, we typically start from scratch and build a convolutional neural network model. This paradigm could help lessen the difficulties in interpretability and reliability that arise while working with agri-imagery. For this classification work, it is difficult to obtain a substantial amount of plant disease leaf dataset, in contrast to other deep learning classification problems where there is a sufficient image repository. As a result, we frequently use a variety of information augmentation techniques to improve the CNN model's validation and classification accuracy, and we frequently attain impressive validation accuracy. The 96% accuracy is attained by our trained model. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Enhancing 3D Object Detection for Edge Devices: A PointPillars Approach with Attention Networks and Range Adjustment 6

Enhancing 3D Object Detection for Edge Devices: A PointPilla...

引用

6th International Conference on Artificial Intelligence and Computer Applications, ICAICA 2024

作者： Phuangmalee, Nattapong Tantrairatn, Suradet School of Mechatronics Engineering Institute of Engineering Suranaree University of Technology Nakhon Ratchasima Thailand

ISBN: (纸本)9798350377255

The advancement of 3D object detection on edge devices poses significant challenges, especially for autonomous robots and vehicles requiring computational efficiency within constrained hardware environments. This study addresses these challenges by proposing an optimized 3D detection framework that integrates the Jetson Xavier AGX platform with LiDAR sensors, enhancing the PointPillars model to balance accuracy with efficiency. The approach employs a Range Expert mechanism to dynamically adjust detection range and voxel size, reducing processing load while sustaining high precision. A Lightweight Attention Pyramid Network further improves feature extraction, enhancing the model's ability to detect objects in diverse scales and conditions. Evaluation experiments have demonstrated that the system can achieve a 3D object detection task within 10 meters with a frame rate of 23.39 FPS, a mean Average Precision (mAP) value of 0.969, and a recall value of 0.875. The results underscore advantages of the model in functionally relevant tasks such as navigation, collision avoidance, and path planning scaling a real-world 3D detection system on autonomous assets with limited resources. © 2024 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

Optimization of braking noise caused by eccentric wear of friction plates based on response surface method 10

Optimization of braking noise caused by eccentric wear of fr...

引用

2024 10th International Conference on Applied Materials and Manufacturing technology, ICAMMT 2024

作者： Zhang, Xuesong Jiao, Quanwei School of Mechatronics Engineering Zhongyuan University of Technology Zhengzhou450007 China

Given the noise caused by the friction plate of wear, the finite element model of the brake after eccentric wear of the friction pad was established, and the complex eigenvalue method was used to analyze the influence of eccentric wear of friction pads on braking noise. The value range of brake material parameters is determined by a single-factor test, and the response surface approximate model was constructed to reduce the TOI value of the vibration tendency coefficient. The results show that the braking noise tends to increase with the increase of the eccentric wear of the friction plate. After material parameter optimization, the vibration tendency coefficient of the eccentric wear brake is reduced by 66.2%, and the vibration tendency coefficient of the new brake is reduced by 36.8%. The conclusion provides some basis for the design of the brake. © Published under licence by IOP Publishing Ltd.

关键词： Eigenvalues and eigenfunctions

来源：评论

学校读者我要写书评

暂无评论

Fuzzy-Based Bioengineering System for Predicting and Diagnosing Diseases of the Nervous System Triggered by the Interaction of Industrial Frequency Electromagnetic Fields

引用

Critical Reviews in Biomedical engineering 2024年第5期52卷 1-16页

作者： Korenevskiy, Nikolay A. Al-Kasasbeh, Riad Taha Krikunova, Evgenia A. Rodionova, Sofia N. Shaqdan, Ashraf Al-Habahbeh, Osama M. Filist, Seregy Alshamasin, Mahdi Salman Khrisat, Mohammad S. Ilyash, Maksim South-West State University Kursk Russia Department of Mechatronics Engineering School of Engineering The University of Jordan Amman Jordan Zarqa University Zarqa Jordan Department of Mechatronics Engineering Faculty of Engineering Technology Al-Balqa Applied University Amman Jordan ITMO University Kronverksky St. Petersburg Russia

The study aims to enhance the standard of medical care for individuals working in the electric power industry who are exposed to industrial frequency electromagnetic fields and other relevant risk factors. This enhancement is sought through the integration of fuzzy mathematical models with contemporary information and intellectual technologies. The study addresses the challenges of forecasting and diagnosing illnesses within a specific demographic characterized by a combination of poorly formalized issues with interconnected conditions. To tackle this complexity, a methodological framework was developed for synthesizing hybrid fuzzy decision rules. This approach combines clinical expertise with artificial intelligence methodologies to promote innovative problem-solving strategies. Additionally, the researchers devised an original method to evaluate the body’s protective capacity, which was integrated into these decision rules to enhance the precision and efficacy of medical decision–making processes. The research findings indicate that industrial frequency electromagnetic fields contribute to illnesses of societal significance. Additionally, it highlights that these effects are worsened by other risk factors such as adverse microclimates, noise, vibration, chemical exposure, and psychological stress. Diseases of the neurological, immunological, cardiovascular, genitourinary, respiratory, and digestive systems are caused by these variables in conjunction with unique physical traits. The development of mathematical models in this study makes it possible to detect and diagnose disorders in workers exposed to electromagnetic fields early on, especially those pertaining to the autonomic nervous system and heart rhythm regulation. The results can be used in clinical practice to treat personnel in the electric power industry since expert evaluation and modeling showed high confidence levels in decision-making accuracy. © 2024 by Begell House, Inc.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Task Allocation in a Multi-Robot System Using RRT∗ Algorithm

Task Allocation in a Multi-Robot System Using RRT∗ Algorith...

引用

2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence, RAEEUCCI 2024

作者： Malla, Omar Shanmugavel, Madhavan SRM Institute of Science and Technology Department of Mechatronics Engineering Kattankulathur India

ISBN: (纸本)9798350354539

Task allocation in multi-robot systems is essential to optimize system efficiency, particularly in scenarios where multiple robots can achieve tasks common to all the robots. This paper presents a hybrid approach to independent non-constrained task allocation utilizing the RRT∗ algorithm. The allocation process is based on a cost function calculated when the RRT∗ algorithm finds a path from initial robot configuration to goal node. Path planning is essential in task allocation and to generate feasible paths in robot environments, especially if obstacles are scattered around the task-space. The RRT∗ algorithm is capable of finding optimal paths in cluttered environments, incorporating modifications for improved convergence and efficiency. The study evaluates the proposed approach using a multi-robot system comprising two ABB IRB1410 manipulators. The system demonstrates the effectiveness of the algorithm in allocating tasks based on their cost and achievability. Experiments are conducted to showcase the algorithm's ability to navigate obstacles and optimize task allocation. Overall, the paper contributes to task allocation strategies in multi-robot systems by offering a practical implementation using RRT∗ capability to minimize the cost function of the task. © 2024 IEEE.

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

The vortex field simulation of a robotic fish driven by rotary-to-oscillatory mechanism 9

The vortex field simulation of a robotic fish driven by rota...

引用

9th International Symposium on Sensors, mechatronics, and Automation System, ISSMAS 2023

作者： Zhu, Xiaowen He, Jingfeng Jiang, Hongzhou Tong, Zhizhong Ye, Zhengmao School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781510672802

This paper presents a vortex field analysis of a four-joint robotic fish using the Viscous Vortex Domain (VVD) method. Firstly, the structural composition of the robotic fish is briefly introduced. Secondly, by establishing discrete Lagrangian mesh points and analyzing the fish's oscillation posture based on discrete vortex field points, the swimming performance of the robotic fish in a flowing vortex field and its oscillation posture in a stationary vortex field are analyzed. © 2024 SPIE.

关键词： Robotics Diffusion 3D modeling Biological research Fluid dynamics Computational fluid dynamics Modeling Motion models Robots

来源：评论

学校读者我要写书评

暂无评论

Optimal tracking control for underactuated airship

引用

Journal of engineering and Applied Science 2024年第1期71卷 1-36页

作者： Atyya, Mohamed ElBayoumi, Gamal M. Lotfy, Mohamed Mechatronics Engineering Department Faculty of Media Engineering and Technology German University in Cairo New Cairo11865 Egypt Aerospace Engineering Department Faculty of Engineering Cairo University Giza12613 Egypt

A non-linear mathematical model of underactuated airship is derived in this paper based on Euler-Newton approach. The model is linearized with small disturbance theory, producing a linear time varying (LTV) model. The LTV model is verified by comparing its output response with the result of the nonlinear model for a given input signal. The verified LTV model is used in designing the LQT controller. The controller is designed to minimize the error between the output and required states response with acceptable control signals using a weighted cost function. Two LQT controllers are presented in this work based on two different costates transformations used in solving the differential Riccati equation (DRE). The first proposed assumption of costates transformation has a good tracking performance, but it is sensitive to the change of trajectory profile, whereas the second one overcomes this problem due to considering the trajectory dynamics. Therefore, the first assumption is performed across the whole trajectory tracking except for parts of trajectory profile changes where the second assumption is applied. The hybrid LQT controller is used and tested on circular, helical, and bowed trajectories. The simulation assured that the introduced hybrid controller results in improving airship performance. © 2023, The Author(s).

关键词： Airships

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：