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SSRN 2025年

作者： Rahman, Muhammad Toyabur Rahman, Md Sazzadur Kim, Young-Seong Lim, Joong Yeon Kim, Seonghwan Department of Mechanical and Manufacturing Engineering University of Calgary CalgaryAB Canada Department of Mechanical Robotics and Energy Engineering Dongguk University Seoul Korea Republic of

A high-power density direct current triboelectric nanogenerator (DC-TENG) presents a promising solution for sustainable and distributed energy supply in the Industry 4.0 era, catering to electronics and sensor networks. This study introduces a contact-separation mode DC-TENG that incorporates core-shell metal-organic framework-derived bimetallic nanoporous carbon (BNPC) as a functional nanofiller in the negative elastomer tribo-layer, significantly enhancing its performance. The synergistic effects of micro-capacitor formation, interfacial polarization, and graphitization-driven conductive networks make BNPC an ideal filler, as its high surface area and porosity improve dielectric properties and charge trapping, while its bimetallic components suppress charge recombination. Additionally, a Kapton-based mechanical rectifier is integrated to enable direct DC output, simplifying the system design and enhancing energy utilization. The optimized BNPC@elastomer composite-based DC-TENG (BNDC-TENG) exhibits a peak power density of 6.32 W/m2, demonstrating remarkable durability over 43,000 cycles and the ability to directly charge capacitors and power small electronics. Furthermore, the BNDC-TENG efficiently harvests biomechanical energy from human motion and functions as a self-powered sensor for real-time activity monitoring (e.g., walking and running). This work introduces innovative materials and a simplified architecture for high-performance DC-TENGs, advancing sustainable energy harvesting and next-generation self-powered sensing applications. © 2025, The Authors. All rights reserved.

关键词： Charge trapping

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Modeling of an external force estimator for an end-effector of a robot by neural networks

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Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A 2023年第8期46卷 895-904页

作者： Junplod, Goragod Kornmaneesang, Woraphrut Chen, Shyh-Leh Wongsa, Sarawan Department of Control Systems and Instrumentation Engineering King Mongkut’s University of Technology Thonburi Bangkok Thailand International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan Department of Mechanical Engineering National Chung Cheng University Chiayi Taiwan Advanced Institute of Manufacturing with High-Tech Innovations National Chung Cheng University Chiayi Taiwan

This paper proposes a method to estimate external forces at the tip of a robot end-effector by using a neural network model. In order to avoid the use of an expensive force sensor in the training purpose, the proposed method implements the indirect training method by including the inverse dynamic model of the robot manipulator to the training algorithm with available information from a default robot system. In this method, the robot dynamics equations are necessary for the training, therefore a disturbance observer is adopted to deal with the existing uncertainties and errors. The performance of the proposed estimation method is evaluated through experiments of a 5-DOF robotic experimental platform, comparing to another existing estimation method using recurrent neural network with a type-1 disturbance observer for the external force estimation. The estimation results show that the behavior of the estimated external forces strongly correlates with the applied external forces and the proposed method is superior to the other method. © 2023 The Chinese Institute of Engineers.

关键词： Recurrent neural networks

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Applying CNN Models with Stereo Camera for Object Detection and Distance Estimation in Automatic Micro Electric Vehicle (MEVi) 1

Applying CNN Models with Stereo Camera for Object Detection ...

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1st International Conference on Smart Mechatronics, ICSMech 2024

作者： Harimanto, Farrell Putra Hasanah, Nurul Pradana, Muhammad Khristamto Aditya Puji, Muhammad Nurul Binus Aso School of Engineering Bina Nusantara University Automotive & Robotics Program Computer Engineering Department Jakarta11480 Indonesia National Research and Innovation Agency Kst Samaun Samadikun Research Center for Smart Mechatronics Bandung40135 Indonesia

ISBN: (纸本)9798350368918

Technological advancements in the automotive industry are currently focused on autonomous driving systems or driver assistance systems. Depth estimation is also an important feature of the autonomous driving system as it can accurately estimate the distance to the detected objects. In current developments technologies such as stereo cameras are more popular for a more accurate depth estimation. The process for object detection consists of a combination of classification, localization, and segmentation. Deep convolutional neural networks are the basis of object detection. The methods for object detection are divided into two categories namely the Region Proposal-based method such as RCNN, and the Classification-based method which provides for methods such as YOLO and MobileNet. As a part of the research conducted by the National Research and Innovation Agency (BRIN) on Automatic Micro Electric Vehicles or MEVi, this paper analyzed and compared the performance of several CNN models for object detection as well as the performance of depth sensing using ZED stereo camera which was used for the autonomous system in MEVi. Among several models that had been compared, YOLO v8 model demonstrates high accuracy and moderate speed as indicated by its high mAP (0.50) and FPS (38.46). Based on depth sensing results, the accuracy of distance measurement also depended on brightness and environment with the average of accuracy achieved indoors was 98.2% and outdoors was 96.3%. © 2024 IEEE.

关键词： Automotive industry

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Analysis of Automation in Foundries for Transforming Production Efficiency, Quality Control, and Operational Resilience 2

Analysis of Automation in Foundries for Transforming Product...

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2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Bhagyanathan, C. Sarvesh, J. Vishal, G. Rithvik, R. Sri Ramakrishna Engineering College Department of Mechanical Engineering Coimbatore India Sri Ramakrishna Engineering College Department of Robotics and Automation Coimbatore India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505745

The foundry industry, a cornerstone of manufacturing, has undergone significant transformations due to the integration of automation technologies. This survey paper examines the evolution of automation in foundries, exploring its historical development, key adoption drivers, and the ongoing challenges faced by traditional operations. Technological advancements driving this change include the Industrial Internet of Things (IIoT), robotics, artificial intelligence (AI), machine learning (ML), and cyber-physical systems (CPS), such as digital twins. Through case studies, the paper illustrates practical implementations of these technologies, such as IoT-enabled monitoring, robotics in core making and molding, AI-driven defect detection, and CPS integration in smart foundries. The advantages of automation are emphasized, including increased productivity, improved quality control, energy efficiency, sustainability, and enhanced workplace safety. Despite these benefits, the adoption of automation faces significant hurdles, such as high initial investment costs, integration with legacy systems, skill gaps, and cybersecurity concerns. The paper also identifies future trends, including the rise of collaborative robotics (cobots), edge computing, 5G technologies, and the vision for fully autonomous foundries. This comprehensive survey offers valuable insights into the current state of foundry automation, its transformative potential, and future directions for researchers and industry stakeholders seeking to leverage these advancements for operational excellence. © 2025 IEEE.

关键词： Coremaking

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Design and analysis of newly developed two-wheeler shock absorber helical spring 3

Design and analysis of newly developed two-wheeler shock abs...

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3rd International Conference on Intelligent robotics, Mechatronics and Automation Systems, IRMAS 2023

作者： Hait, Mongaldip Dey, Tapobrata Sarnobat, Sandeep S Department of Mechanical Engineering D. Y. Patil College of Engineering Akurdi Pune India Savitribai Phule Pune University Pune India Department of Robotics and Automation D. Y. Patil College of Engineering Akurdi Pune India

The Elasticity property/Spring theory indicates that a long lasting spring is always showing small deflection and high stiffness and this property makes it comfortable for any applications. The present investigation deals with a comparative analysis carried out on the basis of sustainability of helical spring that is extensively used in suspension system, to increase the work efficiency of the shock absorber. A suspension system or a shock absorber is a mechanical device that is used to absorb shocks when riding in rough terrains. Stainless Steel grade (AISI316 & AISI302), High Carbon Steel (Music wire grade ASTM A228 & Hard drawn grade ASTM A227) and Alloy Steel (Chrome vanadium grade ASTM A231 & Chrome silicon grade ASTM A401) springs have been utilized throughout the study followed by applying compressive load. In order to enhance the mechanical property of the helical spring, alloy steel based material has been used instead of stainless steel. During this investigation a new shock absorber spring has been designed with the help of Solid Works software and the static structural analysis of the so formed model has been conducted via FEA. © Published under licence by IOP Publishing Ltd.

关键词： Finite element method

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Nonlinear dynamic of turbulent bearing-rotor system under quadratic damping with HSFD and active control

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Journal of the Brazilian Society of mechanical Sciences and engineering 2024年第3期46卷 1-13页

作者： Chang-Jian, Cai-Wan Chu, Li-Ming Chen, Tsung-Chia Yau, Her-Terng Department of Mechanical Engineering National Chin-Yi University of Technology No.57 Sec. 2 Zhongshan Rd. Taiping Dist. Taichung411030 Taiwan Interdisciplinary Program of Green and Information Technology National Taitung University Taitung City95092 Taiwan Department of Mechanical Engineering National Chung Cheng University No.168 Sec. 1 University Rd. Chiayi Minhsiung621301 Taiwan

Traditional squeeze-film dampers are used in modern aircraft generators as vibration-suppressing devices. However, the conventional squeeze-film damper has the disadvantage of highly nonlinear oil film force. This study aims to improve the dynamic characteristics of the squeeze-film damper by changing its geometric structure, so a hybrid squeeze-film damper (HSFD) is proposed. Besides, the turbulent flow could also be found in lubrication analysis of high rotating speed turbo-machineries, and the ignorance of turbulent flow would lead to significant failure results. Accordingly, the study presents a nonlinear dynamic analysis of a turbulent bearing-rotor system under quadratic damping equipped with HSFD. The dimensionless speed ratio and dimensionless unbalance parameter are used to plot the bifurcation diagrams, and abundant harmonic, subharmonic, quasi-periodic, and even chaotic motions are found with dynamic trajectories, power spectrum, Poincaré maps, Lyapunov exponent, and fractal dimension, simultaneously. Finally, an active control method is applied to suppress the chaotic responses. The simulation results will provide valuable suggestions for designing and developing rotating machinery, such as rotor-bearing systems operating at high rotational speeds and nonlinearity. © The Author(s), under exclusive licence to The Brazilian Society of mechanical Sciences and engineering 2024.

关键词： Rotating machinery

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Identification of benefits, challenges, and pathways in E-commerce industries: An integrated two-phase decision-making model

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Sustainable Operations and Computers 2023年第1期4卷 200-218页

作者： Gupta, Srikant Kushwaha, Pooja.S. Badhera, Usha Chatterjee, Prasenjit Gonzalez, Ernesto D.R. Santibanez Department of Operations and Decision Sciences Jaipuria Institute of Management Jaipur India Department of Business Analytics Jaipuria Institute of Management Indore India Department of Business Analytics Jaipuria Institute of Management Jaipur India Department of Mechanical Engineering MCKV Institute of Engineering West Bengal 711204 India Post-Doctoral Fellow Management Graduate Program Universidade Paulista Indianópolis Campus Brazil Department of Industrial Engineering and CES 4.0 Faculty of Engineering University of Talca Curico Chile

The e-commerce industry has seen significant growth over the past decade as it focuses on convenience and accessibility, leading to a surge in online shopping with more and more consumers opting for it. At the same time, the e-commerce industry faces various challenges. In order to fully harness the potential of this industry, it is important to identify its benefits and challenges and focus on pathways to mitigate the challenges and harness its growth. This study utilizes the Delphi approach and involves experts from the e-commerce domain to get their opinions to identify the top ten benefits, challenges, and pathways for the e-commerce industry. Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) methods are subsequently, employed to prioritize the identified factors. Results of the study revealed that factors such as affordable advertising & marketing;availability and product variety;and Global reachability are the most important benefits, while technological upgradation;returns or refunds;and counterfeit products posed the greatest challenges for the industry. Government compliance check;better relationship with delivery partners;and strong data privacy and online security policies emerged as the best pathways. This study also provides valuable insights to businesses, policymakers, and researchers in the e-commerce industry on how to navigate the benefits, challenges, and pathways of this rapidly growing sector. © 2023

关键词： Electronic commerce

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Performance Analysis of Ducted-Fan Modules with Axial Impeller

Performance Analysis of Ducted-Fan Modules with Axial Impell...

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2024 International Conference on Precision engineering and mechanical Manufacturing, PEMM 2024

作者： Shiau, Yau-Ren Fang, Jiunn Huang, Yuan-Chi Department of Industrial Engineering and Systems Management Feng Chia University Taichung407 Taiwan Department of Aerospace and Systems Engineering Feng Chia University Taichung407 Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung407 Taiwan

ISBN: (纸本)9781510683129

Impellers are extensively employed across various industrial sectors and in different industrial systems, such as ducted-fan modules. The configuration of ducted-fan modules can be optimized to achieve high impeller performance, safe and stable operation, and high operational efficiency. This study designed two ducted-fan modules with axial impellers composed of airfoil cascades by using the Fan Calculator software program to analyze their performance and efficiency. The study discovered that the module efficiency varied with the internal impeller diameter, external impeller diameter, and rotational speed. An increase in the outlet angle of the blade tip caused increases in the power generated by, pressure change produced in, and flow rate of the modules, thereby enhancing fan efficiency and module performance. The study makes two contributions. First, it constructed two ducted-fan modules with axial impellers by using the duct to isolate the blades, thus increasing the safety and stability of the fan. Second, it explored the performance and efficiency of impellers with airfoil cascades to enhance fan efficiency and optimize the design of a ducted-fan module. © 2024 SPIE.

关键词： Ducted fan engines

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A practical PID variable stiffness control and its enhancement for compliant force-tracking interactions with unknown environments

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Science China(Technological Sciences) 2023年第10期66卷 2882-2896页

作者： ZHANG Xin ZHOU Hao LIU JinGuo JU ZhaoJie LENG YuQuan YANG ChenGuang State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China University of Chinese Academy of Sciences Beijing 100049China School of Computing University of PortsmouthPortsmouth PO13HEUK Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy EngineeringSouthern University of Science and TechnologyShenzhen 518055China Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China

Compliant interaction control is a key technology for robots performing contact-rich manipulation *** design of the compliant controller needs to consider the robot hardware because complex control algorithms may not be compatible with the hardware performance,especially for some industrial robots with low bandwidth *** paper focuses on effective and easy-to-use compliant control algorithms for position/velocity-controlled *** by human arm stiffness adaptation behavior,a novel variable target stiffness(NVTS)admittance control strategy is proposed for adaptive force tracking,in which a proportional integral derivative(PID)variable stiffness law is designed to update the stiffness coefficient of the admittance function by the force and position ***,its stability and force-tracking capability are theoretically *** addition,an impact compensator(Impc)is integrated into the NVTS controller to enhance its disturbance-suppression capability when the robot is subjected to strong vibration disturbances in complicated surface polishing *** proposed controllers are validated through four groups of experimental tests using different robots and the corresponding results demonstrate that they have high-accuracy tracking capability and strong adaptability in unknown environments.

关键词： compliant interaction control force tracking PID variable stiffness impact compensator unknown environments

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Influence of Centrodes Coefficient on the Characteristic of Gear Ratio Function of the Compound Non-circular Gear Train with Improved Cycloid Tooth Profile 6th

Influence of Centrodes Coefficient on the Characteristic of ...

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6th IFToMM Asian Mechanisms and Machine Science Conference, Asian MMS 2021

作者： Thai, Nguyen Hong Van Thom, Phung Trung, Nguyen Thanh Department of Mechanical Design and Robotics School of Mechanical Engineering Hanoi University of Science and Technology Hanoi Viet Nam Vietnam National Research Institute of Mechanical Engineering Hanoi Viet Nam

ISBN: (纸本)9783030918910

In this paper, the authors evaluate the influence of the centrodes coefficients on the gear ratio function characteristics of the compound non-circular gear (CNCG) train formed by two pairs of external non-circular gears (NCGs). First, a mathematical model describing the mating centrodes for the CNCG train has been establishing. From there, evaluate the influence of centrode coefficients μ1 and μ2 of NCGs in the CNCG train on the gear ratio function characteristic for the CNCG train. A design of a CNCG train with an improved cycloid tooth profile by a rack cutter. The evaluation results show that when increasing μ1, transmission size tends to decrease, but the speed and torque variation range rises to 54.31%. While reducing μ2, the speed variation and torque range increase, but the mating centrodes of NCGs 4 is a concave curve that cannot gear shaping by a rack cutter or hob cutter must be by shaper cutter. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Function evaluation

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