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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Stolyarov, Evgeniy Lashkevich, Maxim Kulik, Egor Ali, Yousef Demidova, Galina Anuchin, Alecksey Department of Electric Drives Moscow Power Engineering Institute Moscow Russia Faculty of Control System and Robotics ITMO University Saint Petersburg Russia

ISBN: (纸本)9798350389234

The hybrid electric powertrains can utilize bidirectional buck converters to charge the battery while driving and discharge it when extra power is required. In order to increase the power density, the wide-bandgap switches should be used. These switches have bidirectional conductivity mode as they are metal–oxide–semiconductor field-effect transistors (MOSFET) and the utilization of the freewheeling diode is undesirable due to high voltage drop across it and much higher losses in conducting mode. This paper proposes the combined control strategy which implements continuous conducting mode at high and active discontinuous conducting mode at low currents. The use of model predictive control allows to minimize the conducting losses by means of reverse conductivity mode of the switches. The paper provides derivation of the combined control strategy. Then, the simulation results show the effectiveness of the proposed method. Finally, the simulation was performed with various errors in the definition of the system parameters. © 2024 IEEE.

关键词： Buck converter

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OPTIMIZING THE CONTROL OF A MECHATRONIC ASSEMBLY WITH OMNIDIRECTIONAL WHEELS THROUGH THE IMPLEMENTATION OF A DATA MONITORING SYSTEM AT THE ROLLER LEVEL IN ORDER TO IMPROVE THE STABILITY AND MANEUVRABILITY OF THE ASSEMBLY

International Journal of Mechatronics and Applied Mechanics

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International Journal of Mechatronics and Applied Mechanics 2025年第19期2025卷 271-279页

作者： Bâlc, Daniel Țîțu, Aurel Mihail Bâlc, Emanuel National University of Science and Technology POLITEHNICA Bucharest Faculty of Industrial Engineering and Robotics Splaiul Independenţei no. 313 6th District Bucharest Romania Lucian Blaga University of Sibiu 10 Victoriei Street Sibiu Romania

This research work proposes the introduction of an innovative system for monitoring the rotations of the rollers integrated in a mecanum wheel, which provides improve the control and understanding of this essential element of omnidirectional motion. Considering the importance of the performance of these wheels in mobile robotics applications and autonomous systems, the study focuses on the analysis of the most common typologies of mecanum wheels, identifying the critical factors that influence their efficiency and stability. The research initially approaches the detailed study of the construction and operation of the mecanum wheels, going on to identify the specific characteristics that can alter the dynamic behaviour of the system. Next, it is proposed to design and integrate a monitoring system capable of following in real time the rotations of the rollers and why not, a monitoring system capable of removing the slippage of the rollers or skidding on inclined planes, using a series of sensors and data processing algorithms. The methodology adopted combines the theoretical analysis with the practical development of a prototype, which will be subjected to a set of rigorous experimental tests, aimed at validating the performance of the system in various operating conditions. The paper's conclusions will highlight the benefits of implementing the proposed system and suggest future research directions, focusing on refining monitoring algorithms and integrating real-time feedback technologies into advanced robotic platforms. © 2025 The Author(s). Published by Cefin Publishing House – Bucharest.

关键词： Rollers (machine components)

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BCLH2Pro:A novel computational tools approach for hydrogen production prediction via machine learning in biomass chemical looping processes

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Energy and AI 2024年第4期18卷 13-26页

作者： Thanadol Tuntiwongwat Sippawit Thammawiset Thongchai Rohitatisha Srinophakun Chawalit Ngamcharussrivichai Somboon Sukpancharoen Department of Mechanical Engineering Faculty of EngineeringKhon Kaen UniversityKhon Kaen 40002Thailand Department of Automation Robotics and Intelligent System Faculty of EngineeringKhon Kaen UniversityKhon Kaen 40002Thailand Department of Chemical Engineering Faculty of EngineeringKasetsart UniversityBangkok 10900Thailand Center of Excellence in Catalysis for Bioenergy and Renewable Chemicals(CBRC) Faculty of ScienceChulalongkorn UniversityPathumwanBangkok 10330Thailand Institute of Nanoscience and Nanotechnology(ION2) Universiti Putra MalaysiaSerdang 43400SelangorMalaysia Department of Agricultural Engineering Faculty of EngineeringKhon Kaen UniversityKhon Kaen 40002Thailand Center for Alternative Energy Research and Development Khon Kaen UniversityKhon Kaen 40002Thailand

This study optimizes biomass chemical looping processes(BCLpro),a technique for converting biomass to energy,through machine learning(ML)for sustainable energy *** study proposes an integrated Fe_(2)O_(3)-based,BCLpro combining steam gasification for H2 *** Plus is used as the primary tool to generate extensive datasets covering 24 biomass types with 18 feature inputs in a supervised model.A methodology involving K-Nearest Neighbors(KNN),Extreme Gradient Boosting(XGB),Light Gradient Boosting Machine(LGBM),Support Vector Machine(SVM),Random Forest(RF),and CatBoost(CB)algorithms was employed to predict H_(2)yields in the BCLpro,utilizing 10-fold cross-validation for robust model *** highlight the CB algorithm’s superior performance,achieving up to 98%predictive accuracy,with carbon content,reducer temperature,and Fe_(2)O_(3)/Al_(2)O_(3)mass ratio identified as crucial *** algorithm has been developed into a user-friendly tool,BCLH2Pro,accessible via a web *** tool is designed to assist in reducing costs,optimizing biomass selection,and planning operational conditions to maximize H2 yield in BCLpro *** to the tool can be obtained through the following link:http://***/.

关键词： Artificial intelligence Supervised learning Process simulation Chemical looping Agricultural waste

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Fast Prototyping of In-Pavement Airport Navigation Lamp Prism Classification 26

Fast Prototyping of In-Pavement Airport Navigation Lamp Pris...

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26th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Suder, Jakub Marciniak, Tomasz Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Poznań60-965 Poland

ISBN: (纸本)9798350304985

The paper presents an analysis of fast selection of neural network for the purpose of visual analysis of mechanical wear on prism lenses of in-pavement airport navigational lighting systems. This issue is particularly important in terms of aviation safety and navigational lighting control, regulated by EASA and ICAO. The article is the next stage of the development of the system for the vision control of lamps, in which the concept of using a different neural network with an increased data set prepared by the authors is presented. The Deep Network Designer tool included in the Matlab 2022b environment was used. The solution using the GoogLeNet neural network allows for the classification of lamps with an accuracy of 88.37%. © 2023 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).

关键词： Airports

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A Machine Learning-Driven Model for Predicting the Productivity of Internet of Mechanical Things 2nd

A Machine Learning-Driven Model for Predicting the Productiv...

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2nd International Conference on Sustainability: Developments and Innovations, ICSDI 2024

作者： Sedik, Ahmed Nasralla, Moustafa M. Esmail, Maged Abdullah Smart Systems Engineering Laboratory College of Engineering Prince Sultan University Riyadh Saudi Arabia Department of the Robotics and Intelligent Machines Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh33516 Egypt

ISBN: (纸本)9789819783472

This study delves into the utilization of artificial intelligence (AI) for predicting the performance of Hemispherical Solar Stills (HSS), aiming to transcend reliance on empirical methods. Employing real-world experimental data, five distinct prediction models were developed. The investigation revealed that the DT model emerged as the most efficacious in estimating both hourly productivity and instantaneous efficiency, showcasing remarkable accuracy and efficiency in its predictions. Statistical metrics demonstrated that the DT model's estimates for HSS productivity and efficiency were closely aligned with unity. This research accentuates the transformative potential of AI models in streamlining and enhancing predictive techniques for estimating HSS performance. The findings advocate for the adoption of AI-driven approaches as cost-effective and precise solutions for researchers and practitioners within the realm of mechanical engineering. By substantiating the efficacy of the DT model, this study contributes valuable insights that not only advance our understanding of AI applications in solar technology but also offer practical tools for optimizing the design and performance assessment of Hemispherical Solar Stills. The integration of AI in this context promises to usher in a new era of efficiency and accuracy, addressing challenges in the field and fostering advancements in sustainable energy technologies. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Prediction models

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Responsible Innovation 'Bottom Up'? Using Mobile Robots as a Case 6

Responsible Innovation 'Bottom Up'? Using Mobile Robots as a...

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6th Social Robots with AI: Prospects, Risks, and Responsible Methods Robophilosophy, RP 2024

作者： Zawieska, Karolina Kollakidou, Avgi Bodenhagen, Leon Krüger, Norbert Martin, Clionah Bendt, Mads Andersen, Casper School of Culture and Society Aarhus University Denmark Faculty of Engineering University of Southern Denmark Denmark The Danish Institute for Advanced Study Denmark Coalescent Mobile Robotics ApS Denmark Capra Robotics ApS Denmark RGC Management A/S Denmark

ISBN: (纸本)9781643685670

robotics and AI technologies often have been perceived as radically innovative technologies that likely will cause problematic disruptions of society. In particular, ethical concerns about the simulation of high-level human capacities in social robots have engendered calls for various forms of 'top-down' regulation, guided by pre-set values and standards. Working from insights of a case study with mobile robots, we suggest in this discussion paper that we might do better in pursuing responsible innovation bottom-up: Moving among robots with minimal social interaction skills, citizens may practically acquire the technological knowledge that can protect them against anthropomorphizing overinterpretations and inappropriate attachments. We unfold this suggestion in three steps: First, reporting on our case study, we describe the limited role of value considerations among the design goals that currently guide developers and early adopters of mobile robots in the retail industry. Second, based on an observation from an ethnographic pilot study and related HRI research on mobile robots, we derive a proposal for responsible innovation bottom-up, as supervised social experiment and cultural learning. Third, we discuss the proposal, pro and contra. © 2025 IOS Press. All rights reserved.

关键词： Mobile robots

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Influence of power supply on airport navigation lamps photometric test accuracy 26

Influence of power supply on airport navigation lamps photom...

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26th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2023

作者： Podbucki, Kacper Suder, Jakub Marciniak, Tomasz Darowski, Adam Poznan University of Technology Faculty of Automatic Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Electronic Systems and Signal Processing Poznań60-965 Poland

ISBN: (纸本)9798350304985

The paper presents research on the accuracy of measuring illuminance and chromaticity of airport lamps. The impact of the type of DC and AC power supply on measurement was assessed with the use of electronic sensors. BH1750 and BH1745 type sensors in a microprocessor system with an I2C interface were used for the measurements. A professional luxmeter was used for comparison purposes. Experimental tests were carried out under laboratory conditions for three types of halogen lamps: approach system lamps, runway centerline lamps, and touchdown zone lamps. © 2023 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).

关键词： Lighting

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Bonnet cable defect analysis using six sigma dmaic techniques

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UPB Scientific Bulletin, Series D: Mechanical engineering 2021年第2期83卷 203-214页

作者： Diga, Dina Severin, Irina Faculty of Industrial Engineering and Robotics University POLITEHNICA Bucharest Romania

Study presents the implementation of Six-sigma techniques to identify the root cause of bonnet cable problem at the customer’s request. The process was developed in detail, using five main (DMAIC) steps: Define, Measure, Analyze, Improve and Control. In this research, Quality Management tools such as SPD – Standard Problem Definition analysis, Data Analysis, Quality Assurance Part Inspection, Data Collection Plan, Process Capability Study-DPMO, Initial Verification Diagnosis, Visual and Control Charts etc. are used in defining the problems to find the root causes for the problem and carrying out experiments in order to suggest improvements, through which the company could bring in quality and reliability in their process. © 2021, Politechnica University of Bucharest. All rights reserved.

关键词： Customer satisfaction

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Fabrication of Microchannels on Aluminium-Coated Polymethyl Methacrylate (PMMA) Using a Low Power CO2 Laser

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Lasers in Manufacturing and Materials Processing 2024年第4期11卷 868-886页

作者： Okello, Job Lazarus El-Bab, Ahmed M. R. Fath Yoshino, Masahiko El-Hofy, Hassan A. Industrial and Manufacturing Engineering Department Egypt-Japan University of Science and Technology New Borg El-Arab City Egypt Mechatronics and Robotics Engineering Department Egypt-Japan University of Science and Technology New Borg El-Arab City Egypt Department of Mechanical Engineering Tokyo Institute of Technology Tokyo Japan Department of Production Engineering Faculty of Engineering Alexandria University Alexandria Egypt

The emergence of microfluidics as one of the most viable technologies for making various microfluidic devices has greatly enhanced miniaturization in several areas. The utilization of polymethyl methacrylate (PMMA) for making such devices using CO2 lasers has significantly increased due to the flexibility, time, and cost-effectiveness involved. However, attaining microchannels with accurate dimensions is a challenge because of the resulting defects like bulges, high heat-affected zone (HAZ), and surface roughness (Ra). This paper presents a novel attempt to engrave rectangular microchannels on PMMA substrates using a CO2 laser by coating the substrates with a thin layer of 1 μm thickness of 99.95% pure aluminium. The study investigated the effects of power, and speed on the quality of the microchannels. The fabrication was done on both coated and uncoated substrates under the same conditions and the results were compared. Power and speed ranged from 1.5 to 7.5 W and 5 to 17.5 mm/s, respectively. At 1.5 W and 17.5 mm/s, the aspect ratio increased by 37.16%. However, the microchannel depth, width, HAZ, and Ra all reduced by 44.66%, 59.68%, 29.44%, and 64.74% respectively. At 7.5 W and 5 mm/s, the aspect ratio increased by 81.46%. However, the microchannel depth, width, HAZ, and Ra all reduced by 21.84%, 54.64%, 32.36%, and 72.70% respectively. The coated substrates produced better microchannels than the uncoated ones. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Carbon dioxide lasers

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Identifying solutions to stimulate rail freight traffic in Romania using the Content Analysis Method 14

Identifying solutions to stimulate rail freight traffic in R...

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14th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2022

作者： Scarisoreanu, Desdemona Isabela Ghiculescu, Liviu Daniel University Politehnica of Bucharest Faculty of Industrial and Robotics Engineering Bucharest Romania

ISBN: (纸本)9781665495356

The paper focuses on the application of the Content Analysis Method in the case of multimodal freight transport in Romania, in order to achieve the goals of the European Green Deal. According to the provisions of this European Union strategy, rail freight traffic will increase by 50% by 2030 compared to 2015. The goal is to ensure the transfer of goods from the road system to the railway network, in order to reduce pollution and to decongest road traffic. © 2022 IEEE.

关键词： Modal analysis

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