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作者： Sharma, Pravin Omprakash Unune, Deepak Rajendra Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology Rajasthan Jaipur302031 India

Enhancements in critical heat flux (CHF), heat transfer coefficient (HTC), and other thermal parameters of nanofluids produced during pool boiling of Ag/ZnO hybrid nanoparticles are examined in the current work. We also present a study comparing performance outputs obtained after optimising the conflicting response variables. Copper rods having a cylindrical geometry with 20 mm outer diameter and 35 mm length and their upper face being modified over the die-sink electro-discharge machine (EDM) at various parameter settings were used as a test piece. This process produced test pieces of varying roughness upon which the experimental trials were undertaken. In order to disseminate the hybrid nanoparticles in the base fluid, i.e., DI (de-ionized) water, volume concentrations () of 0.02, 0.06, and 0.1% were used to make stable nanofluids utilising a magnetic stirrer and an ultrasonicator. We carried out pool boiling experiments by adapting the Taguchi methodology to design the experiments. Our study demonstrates that the enhancements are a function of surface roughness and nanofluid concentration. The increased concentration of nanoparticles during pool boiling studies raised important metrics like CHF and HTC. Compared to DI water, Ag/ZnO hybrid nanofluids showed excellent gains in HTC (∼250%) and CHF (∼80%) at surface characteristics corresponding to EDM settings of I = 35 A and Ton = 100 µs. The degree of superheat required for boiling incipience contradicted the experimental surface and fluid combination that showed maximum enhancements. As a result, an attempt to optimise the overall boiling performance was undertaken by employing the desirability function analysis (DFA). Considerable improvements were seen in CHF, HTC, and ΔT (Wall superheat) after experimenting with the optimised settings obtained after DFA implementation and determination of the mean of means. No improvements in heat transfer were seen for nanofluid concentrations above > 0.1% due to the instabil

关键词： Heat flux

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Multi-objective optimal design for the railway bogie frame system under stress and fatigue analysis 14

Multi-objective optimal design for the railway bogie frame s...

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2024 14th International Conference on Applied Physics and Mathematics, ICAPM 2024

作者： Lee, Cheng-Kang Liu, Chien-Kuan Cheng, Yung-Chang Department of Industrial Engineering and Management Cheng Shiu University Kaohsiung Taiwan Department of Mechatronics Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan

This work focuses on applying a novel and integrated multi-objective optimization approach to enhance the strength of the railway bogie frame system under both static loads and fatigue tests. The finite element modelling is conducted using ANSYS/Workbench software, and the von Mises stress and fatigue safety factor of the bogie frame are computed through conventional simulations for EN 13749 and EN 15663 testing. After employing the uniform design method, the fatigue safety factor is increased from 1.924 to 2.586, resulting in a 34.41% improvement rate for the bogie frame. Additionally, the von Mises stress is reduced from 56.96 MPa to 42.91 MPa, reflecting a 24.66% improvement rate compared to the original design. Following the implementation of the multi-objective optimum design process, the fatigue safety factor further improves from 1.924 to 2.742, resulting in a 42.51% enhancement for the bogie frame. Simultaneously, the von Mises stress decreases from 56.96 MPa to 40.48 MPa, yielding an improvement rate of 28.92%. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Safety factor

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Utilizing the fuzzy logic algorithm for cartesian robot control system in conditions of mechanical damage transmission 50

Utilizing the fuzzy logic algorithm for cartesian robot cont...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Dunaeva, Olga Autsou, Siarhei Kudelina, Karolina Roosileht, Mare Virumaa College Tallinn University of Technology Kohla-Järve Estonia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia

ISBN: (纸本)9781665464543

This study delves into the intricate realm of adaptive control systems, highlighting their indispensable role across many industries, including robotics, automation, and manufacturing. Amidst industrial environments' dynamic and often unpredictable nature, the seamless fusion of fuzzy logic principles with cutting-edge computational methodologies, such as artificial intelligence and machine learning, emerges as a beacon of efficiency and reliability. Within this context, the research unveils the profound impact of fuzzy logic algorithms in steering Cartesian robots through mechanically challenging scenarios, where transmission impairments pose significant hurdles. By orchestrating meticulous parameter adjustments, these algorithms exhibit a remarkable ability to not only mitigate structural vibrations but also to optimize operational performance in real time. Moreover, the study underscores the inherent adaptability and versatility of fuzzy logic-based control systems, empowering industrial ecosystems to navigate the complexities of ever-evolving operational landscapes with unparalleled resilience. As such, the findings shed light on the transformative potential of adaptive control systems, offering a glimpse into a future where intelligent algorithms seamlessly harmonize with mechanical systems to drive innovation and efficiency in industrial settings. © 2024 IEEE.

关键词： Fuzzy control

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Open-Source Based Remote Control of Thermo-Optical Plant uDAQ28/LT 1

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15th International Conference on Interactive Mobile Communication, Technologies, and Learning, IMCL 2023

作者： Šefčík, Ján Žáková, Katarína Institute of Automotive Mechatronics Faculty of Electrical Engineering and Information Technology Slovak University of Technology in Bratislava Ilkovičova 3 Bratislava841 04 Slovakia

ISBN: (数字)9783031560750

ISBN: (纸本)9783031560743

With the emergence of hardware reusability and the popularity of open source tools, this paper proposes a method of building an online laboratory utilizing tools that are completely built using open source software to teach control theory. This approach is then verified by implementing a real educational device (uDAQ28/LT) into this online laboratory setup. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Remote control

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Steering Control of Self-Driving Car Using Super-Twisting Sliding Mode Control 5

Steering Control of Self-Driving Car Using Super-Twisting Sl...

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5th International Conference on Advances in Computational Tools for engineering Applications, ACTEA 2023

作者： Dika, Mohammad Owayjan, Michel Achkar, Roger Departments of Mechatronics Enginering and Computer and Communication Engineering American University of Science and Technology Ashrafiyeh Lebanon

ISBN: (纸本)9798350309959

Super-Twisting is an algorithm implemented on the typical Sliding Mode Control (SMC) that offers a different method of controlling complex systems, and commonly found in advanced robotic systems such as industrial robotic manipulators and mobile robotics. This paper presents a review of the steering control of a self-driving car using Super-Twisting algorithm. The algorithm offers optimal performance and speed when compared to other common controls such as the PID control due to its chattering resistant nature and speed. The algorithm is tested using a real-world servo motor applied on a real car body on the 2021 NXP Racetrack ©, using a set amount of time expected to complete the track at a certain speed. The Super-Twisting algorithm is applied on the motor with the required steering angles for the racetrack with respect to time as the reference input, and it is compared to an implemented PID Control. The results show the superior performance of the Super-Twisting SMC in this application compared to the PID control, offering the best option of control resulting in better line following and hence better overall time on the circuit.

关键词： Sliding mode control

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Implementation and Comparison of BUG Algorithms on ROS 2

Implementation and Comparison of BUG Algorithms on ROS

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2nd International Conference for Innovation in technology, INOCON 2023

作者： Gupta, Srishti Asha, C.S. D'Souza, Jeane Marina Mechatronics Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal576104 India

ISBN: (纸本)9798350320923

This paper conducts a research study and a comparative evaluation of Bug Algorithms to assess their potential for robotic navigation using Robot Operating System (ROS). Because these methods require local knowledge, they demand less computational capacity and are simple to implement. Robots that use these algorithms are also more comfortable to build because they need few sensors. We compare several Bug Algorithms using a robot, simulated in a Gazebo environment where they are subjected to various failure cases founded on the environment. Based on the simulation results, we compare the performance of the Bug Algorithms and determine whether they are suitable for use in the real world. This paper discusses and compares Bug 0, Bug 1, Bug 2, Com1, Alg1, Alg2, DistBug, Rev1, and Rev2. Bug 0, Bug 1 and Bug 2 have been implemented using Robot Operating System (ROS) and compared the performances. © 2023 IEEE.

关键词： Robot Operating System

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Study on Wind-Induced Response and Wind Vibration Coefficient of Tower Crane Under Different Wind Speed Spectra Excitation 8th

Study on Wind-Induced Response and Wind Vibration Coefficien...

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8th International Conference on Advances in Construction Machinery and Vehicle engineering, ICACMVE 2023

作者： Wang, Xiangxiang Zhang, Hongsheng Liu, Wenwu School of Mechatronics Engineering Harbin Institute of Technology Heilongjiang Harbin150001 China College of Engineering Northeast Agricultural University Heilongjiang Harbin150030 China

ISBN: (纸本)9789819718757

The wind-induced response and wind vibration coefficient of tower cranes under different wind speed spectra and wind direction angles are investigated to reveal the influence of wind speed distribution on the wind vibration characteristics of tower cranes. Firstly, the theoretical formula for the wind vibration coefficient based on random vibration theory is derived. Then, the APDL modeling method establishes a parametric finite element analysis model with the QTZ25 tower crane as a research object, and wind speed time history at various heights is simulated using the harmonic synthesis method. Finally, the wind speed is converted into wind loads, and the finite element model of the QTZ25 crane is subjected to random vibration analysis and spectra analysis under wind loads. The displacement time history response and displacement power spectral density at different heights are obtained, and the wind vibration coefficients are derived accordingly. The analysis results show that the wind vibration coefficient in descending order is Simiu, Davenport, and Harris wind speed spectra excitation (WSSE), respectively. The maximum deviation of the wind vibration coefficient is 12.01% at 26.09 m height with a 45° wind direction angle. In contrast, the maximum deviation of the wind vibration coefficient is 18.57% at the same height with a 0° wind direction angle. This study demonstrates that the wind-induced response of the QTZ25 tower crane remained the same under different wind speed spectra. Meanwhile, the wind vibration coefficient varied for different heights and wind direction angles, and the wind vibration coefficient was higher under Simiu WSSE and lower under Harris WSSE. © The Author(s) 2024.

关键词： Aerodynamic loads

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Numerical performance analysis of a twin blade drone rotor propeller

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Materials Today: Proceedings 2023年 80卷 492-498页

作者： Rajendran, Pandiyarajan Jayaprakash, Agnishwar Mechatronics Engineering Department Agni College of technology-OMR Thalambur Tamilnadu Chennai 600130 India Garuda Aerospace OMR Tamil Nadu Chennai 600130 India

Twin-blade propellers are typically used in applications that require precision flight control and agility due to their high relative efficiency. The thrust produced by twin-blade propellers is low and hence is only used in lightweight drones focused on quick reflexes and speed rather than lifting capacity and stability. The present study focuses on developing a twin-blade propeller model with improved torque and coefficient of performance with reduced vibrations and drag by numerical simulation analysis. The proposed blade design was modeled with a blade angle of 30° to analyze its effects on the generation of propeller torque. The validity and accuracy of the developed numerical simulation model are influenced by the mesh and turbulence parameters of the developed model. In the present work, the turbulence factors were modeled by the shear stress transport model, and the meshing parameters were subjected to a grid convergence study. The peak coefficient of performance (0.5810) and torque (1.1007 Nm) for the proposed twin-blade propeller were observed for V = 15 m/s. © 2022

关键词： Reynolds number

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Neuro-Fuzzy Approach for Fault Prediction of Mechanical Bearing Faults Using Vibration Analysis 50

Neuro-Fuzzy Approach for Fault Prediction of Mechanical Bear...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Shirokova, Veroonika Kudelina, Karolina Raja, Hadi Ashraf Rjabtšikov, Viktor Baraškova, Tatjana Nutonen, Karle Virumaa Kolledž Tallinn University of Technology Kohtla-Järve Estonia Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Tallinn Estonia

ISBN: (纸本)9781665464543

Electrical machines play an important role in modern industry. It has brought significant technological advancements, particularly in integrating information technology with physical devices. This fusion has led to the emergence of smart devices and the Internet of Things, transforming industrial operations. However, despite the popularity of predictive maintenance, there remains a notable gap in fault prediction algorithms for electrical machines. This paper proposes a signal spectrum-based machine learning approach for fault prediction, specifically focusing on mechanical bearing faults. Comparing traditional neural network algorithms with a novel approach integrating fuzzy logic, the study demonstrates that the fuzzy-neuro network model outperforms traditional neural networks, achieving a validation accuracy of 99.98% compared to 89.91%. Incorporating fuzzy logic within the neural network framework offers advantages in handling complex fault combinations, showing promise for applications requiring higher accuracy in fault detection. © 2024 IEEE.

关键词： Predictive maintenance

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Recent advances in electrochemical sensing and remediation technologies for ciprofloxacin

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Environmental Science and Pollution Research 2025年第5期32卷 2210-2237页

作者： Kini, Vrinda C S, Sreelakshmi Mondal, Debasmita Sundarabal, Nethaji Nag, Pooja Sadani, Kapil Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal India Department of Microbiology Kasturba Medical College Manipal Academy of Higher Education Karnataka Manipal India Department of Electrical and Instrumentation Engineering Thapar Institute of Engineering and Technology Punjab Patiala India Department of Chemical Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal India Department of Mechatronics Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal India

Ciprofloxacin (CIP) is an extensively used broad-spectrum, fluoroquinolone antibiotic used for treating diverse bacterial infections. Effluent treatment plants (ETPs) worldwide lack technologies to detect or remediate antibiotics. CIP reaches the aquatic phase primarily due to inappropriate disposal practices, lack of point-of-use sensing, and preloaded activated charcoal filter at ETPs. The co-existence of bacteria and CIP in such aqueous pools has promoted fluoroquinolone resistance in bacteria and should be minimized. The worldwide accepted standard detection methodologies for the detection of CIP are high-performance liquid chromatography and mass spectrometry, which are lab-based, require state-of-the-art equipment, and are expensive. Hence, it is difficult to integrate them for on-site monitoring. Further, the current remediation technologies like conventional sludge-treatment techniques fail to remove antibiotics such as CIP. Several point-of-use technologies for the detection of CIP are being investigated. These typically involve the development of electrochemical sensors where substrates, modifiers, biorecognition elements, and their chemistries are designed and optimized to enable robust, point-of-use detection of CIP. Similarly, remediation techniques like adsorption, membrane filtration, ion exchange, photocatalysis, ozonation, oxidation by Fenton’s reagent, and bioremediation are explored, but their onsite use is limited. The use of these sensing and remediation technologies in tandem is possibly the only way the issues related to antimicrobial resistance may be effectively tackled. This article provides a focused critical review on the recent advances in the development of such technologies, laying out the prospects and perspectives of their synergistic use to curb the menace of AMR and preserve antibiotics. © The Author(s) 2025.

关键词： High performance liquid chromatography

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