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Application of Multi-Criteria Decision and Simulation Approaches to Selection of Additive Manufacturing Technology for Aerospace Application

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Computers, Materials & Continua 2025年第5期83卷 1623-1648页

作者： Ilesanmi Afolabi Daniyan Rumbidzai Muvunzi Festus Fameso Julius Ndambuki Williams Kupolati Jacques Snyman Department of Mechatronics Engineering Bells University of TechnologyOtaP.M.B.1015Nigeria Department of Industrial and Systems Engineering Cape Peninsula University of TechnologyCape Town7535South Africa Centre for Climate Change Water Security and Disaster ManagementDepartment of Civil EngineeringTshwane University of TechnologyPretoria0183South Africa

This study evaluates the Fuzzy Analytical Hierarchy Process(FAHP)as a multi-criteria decision(MCD)support tool for selecting appropriate additive manufacturing(AM)techniques that align with cleaner production and environmental *** FAHP model was validated using an example of the production of aircraft components(specifically fuselage)employing AM technologies such as Wire Arc Additive Manufacturing(WAAM),laser powder bed fusion(L-PBF),Binder Jetting(BJ),Selective Laser Sintering(SLS),and Laser Metal Deposition(LMD).The selection criteria prioritized eco-friendly manufacturing considerations,including the quality and properties of the final product(e.g.,surface finish,high strength,and corrosion resistance),service and functional requirements,weight reduction for improved energy efficiency(lightweight structures),and environmental *** metrics,such as cost-effectiveness,material efficiency,waste minimization,and environmental impact,are central to the evaluation process.A computer-aided modeling approach was also used to simulate the performance of aluminum(AA7075 T6),steel(304),and titanium alloy(Ti6Al4V)for fuselage *** results demonstrate that MCD approaches such as FAHP can effectively guide the selection of AM technologies that meet functional and technical requirements while minimizing environmental degradation ***,the aluminumalloy outperformed the other materials investigated in the simulation with the lowest stress concentration and least *** study contributes to advancing cleaner production practices by providing a decision-making framework for sustainable and eco-friendly manufacturing,enabling manufacturers to adopt AM technologies that promote environmental responsibility and sustainable development,while maintaining product quality and performance.

关键词： Additive manufacturing(AM) cleaner production computer-aided modelling and simulation environmental responsibility MCD sustainability

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Comparative Analysis of Intelligent Braking Controllers for Electric Vehicles

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2022年 20卷 55-60页

作者： Vodovozov, V. Raud, Z. Petlenkov, E. Department of Electrical Power Engineering and Mechatronics Estonia Department of Computer Systems Tallinn University of Technology Ehitajate tee 5 19086 Estonia

Contemporary society benefits multiple advantages from electric cars. However, there exist still many obstacles to common adoption of the electrically-fed vehicles related mostly to the battery-based energy sources. This analysis addresses the energy recovery in battery and hybrid electric vehicles during their gradual deceleration and emergency stop. Using the proposed classification of braking controllers, several solutions are considered related to the growth on energy saving. Here, intelligent braking systems with fuzzy logic and neural network controllers are compared and evaluated based on data collected in different institutions and by the authors themselves from real vehicles and laboratory test benches. © 2022, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Energy conservation

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Surface Roughness Modelling of the Micromechanically Patterned CNT Forests

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Micro and Nanosystems 2023年第3期15卷 189-198页

作者： Razib, Mohd Asyraf Mohd Saleh, Tanveer Rana, Masud Islam, Saiful Muthalif, Asan G. A. Department of Mechatronics Engineering Faculty of Engineering International Islamic University Malaysia PO BOX 10 Kuala Lumpur50728 Malaysia School of Systems Engineering Kochi University of Technology Kochi Kami City782-8502 Japan Department of Mechanical and Industrial Engineering College of Engineering Qatar University Doha Qatar

Introduction: A new method of modelling surface roughness of the resultant structure from various parameters in the microforming of CNT forests has been developed. One of the top-down mi-croforming methods of CNT forests is called micromechanical bending (M2B). The method uses a high-speed rotating spindle to compact and flatten the surface of CNT forests. It results in the surface structure becoming smoother and increased reflectance of the surface. The reason for this phenomenon is the porosity that decreases by bending CNTs, hence preventing light from passing through. Moreo-ver, the surface roughness is also significantly reduced. However, a study has yet to be conducted to estimate the theoretical value of surface roughness from the identified parameters. Aim: This research aims to develop an approach to model the surface roughness of resultant surface from a set of parameters in a micropatterning method. Methods: Experiments were conducted using a CNC machine to pattern onto CNT Forests using specific parameters, such as 1000, 1500, and 2000 rpm (spindle speed) with feed rates of 1, 5 and 10 mm/min. The step size was kept fixed at 1 µm for each level of the patterning pass. It was found that the periodic pattern of trochoidal mark was engraved on the surface, contributing to the value of measured surface roughness. Results: The results were compared with the theoretical value from the calculation of surface roughness using trochoidal motion with the assumption of the grain sizes of 0.2 µm, 0.3 µm, and 0.4 µm. The actual value of surface roughness was measured using the XE-AFM machine. The grain of 0.2 µm produced the same experimental trend with the theoretical value at rotational speeds of 1000, 1500, and 2000 rpm. However, the theoretical result was shifted downward because the surface could return to the original position due to the elastic properties of the CNTs, hence reducing the surface roughness. The best-fit result was reported for the grain of 0.4 µm

关键词： Surface roughness

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An Open-Source Private Blockchain Implementation in Mass Personalisation for Industry 4.0 era 50

An Open-Source Private Blockchain Implementation in Mass Per...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Aheleroff, Shohin Xu, Xun Zhong, Ray Y. Department of Department of Mechanical and Mechatronics Engineering The University of Auckland New Zealand Department of Industrial and Manufacturing Systems Engineering The University of Hong Kong Hong Kong

ISBN: (纸本)9781713886952

In today's competitive market, mass personalisation has become a recognised necessity. However, ensuring data privacy and security while addressing the global cybersecurity challenge is crucial. While previous studies focused on meeting individual requirements, the emerging business opportunity of mass personalisation necessitates collaboration and robust privacy measures. Blockchain technology offers potential data privacy, security, transparency, and traceability solutions. This study investigates the integration of Blockchain into Mass Personalisation Manufacturing to enhance transparency without compromising privacy. The research adopts the Hyperledger Fabric framework, an enterprise open-source Blockchain framework, to enable privacy and security at scale through a distributed approach. By exploring private Blockchain industrial applications, this research contributes to understanding the benefits and challenges of implementing Blockchain in the context of mass personalisation. Ultimately, the findings presented in this paper pave the way for turning Blockchain-enabled ideas into reality in mass personalisation. © 2023 Computers and Industrial engineering. All rights reserved.

关键词： Blockchain

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A flexible operation-based infrastructure for collaborative model-driven engineering

A flexible operation-based infrastructure for collaborative ...

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Modellierung 2024

作者： Herac, Edvin Marchezan, Luciano Assunção, Wesley Haas, Rainer Egyed, Alexander Johannes Kepler University Linz Institute of Software Systems Engineering Altenberger Straße 69 Linz4040 Austria Linz Center of Mechatronics GmbH Austria

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Implementation and Results of a Multi-Stage Model Predictive Traffic Light Control System 27

Implementation and Results of a Multi-Stage Model Predictive...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Malena, Kevin Link, Christopher Gausemeier, Sandra Trachtler, Ansgar Heinz Nixdorf Institute University of Paderborn Control Engineering and Mechatronics Paderborn33102 Germany Fraunhofer Institute for Mechatronic Systems Design Iem Paderborn33102 Germany

ISBN: (纸本)9798331505929

This paper deals with the implementation and results of the application of a multi-stage traffic light control system which includes a simulation-based traffic estimation and model predictive control. The traffic light control system incorporates a fuzzy system for traffic light phase preselection, followed by a model predictive control to optimise phase combinations and switching times. Predefined phases are selected without restrictions in the order according to a multi-objective optimisation to adapt to the traffic as freely as possible. Initially, the system is tested in simulations and compared with existing methods and analysed afterwards for its effectiveness in a prototype commissioning in field tests. Results indicate high potentials for reducing emissions and waiting times, highlighting the system's value. However, further refinement is necessary for standard implementation. This comprehensive approach demonstrates advancements in traffic management technology, showcasing the potential for enhancing urban mobility and reducing environmental impact. © 2024 IEEE.

关键词： Model predictive control

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Non-stationary irradiance properties in dynamic FSO links: a model and field tests study 7

Non-stationary irradiance properties in dynamic FSO links: a...

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Environmental Effects on Light Propagation and Adaptive systems VII 2024

作者： Doelman, Niek Witvoet, Gert Veldhuis, Erik Langedijk, Stijn Broekens, Kristiaan TNO High-Tech Industry Opto-Mechatronics Delft Netherlands Eindhoven University of Technology Dept. of Mechanical Engineering Control Systems Technology Eindhoven Netherlands

ISBN: (纸本)9781510680968

Time-variant Free-Space Optical channel behaviour is analysed for temporal variations of Cn2 values, satellite motion and satellite passes. These variations lead to non-stationary statistical properties of the irradiance at the receiver. The analyses are based on representative link models and complemented by measured data from recent test campaigns. These are the 10 km’s near-horizontal field test with the TOMCAT demonstrator terminal and the in-orbit test between the SmallCAT terminal onboard the NorSat-TD LEO microsatellite and the TNO optical ground station GOCAT in The Hague. The study shows substantial variations of the statistical properties of the irradiance for LEO satellite motion and predominantly for time-variant Cn2 behaviour. For variations of satellite passes – with respect to the ground station – the sensitivity of irradiance properties over the full pass is less pronounced. An analysis of the probability distribution of elevation angles over all satellite passes reveals a high probability of low elevation links. © 2024 SPIE.

关键词： Orbits

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Automated Sewer Pipe Defect Classification Using Inspection Robot Imagery and Deep Neural Network 12

Automated Sewer Pipe Defect Classification Using Inspection ...

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12th RSI International Conference on Robotics and mechatronics, ICRoM 2024

作者： Goharinezhad, Saleh Hadi, Alireza Mirzaei, Sayeh School of Intelligent Systems Engineering College of Interdisciplinary Science and Technology University of Tehran Advanced Service Robots Laboratory Department of Mechatronics Tehran Iran School of Engineering Science College of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9798331529734

Sewer systems play a critical role in transporting wastewater. Efficient maintenance requires accurate identification of sewer pipe defects, traditionally performed through manual interpretation of Closed-Circuit Television (CCTV) images from robot inspections. This manual process is time-consuming, labor-intensive, and susceptible to human error. While conventional computer vision methods (machine learning methods) have been explored, they often involve extensive image pre-processing and intricate feature extraction. In this study, we propose an automated approach for classifying sewer pipe defects in Iran using deep learning, specifically leveraging the ResNet50 architecture for defect classification. We applied this deep convolutional neural network (CNN) model to automatically detect three common defect types as root intrusions, deposits, and open joints within a dataset 4630 images extracted from CCTV inspection videos of sewer pipes. Our model achieved an average testing accuracy of 96%, highlighting its potential for automating the interpretation of sewer CCTV footage. © 2024 IEEE.

关键词： Convolutional neural networks

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System for Determining the Shape of the Wavefront of a Nonsinusoidal Periodic Acoustic Wave 17

System for Determining the Shape of the Wavefront of a Nonsi...

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17th International Conference on engineering of Modern Electric systems, EMES 2023

作者： Codoban, Adrian Coroiu, Laura Gergely, Eugen Sarosi, Jozsef University of Oradea Department Control Systems Engineering and Management Oradea Romania University of Szeged Department of Mechatronics and Automation Szeged Hungary

ISBN: (纸本)9798350310634

The shape of the wavefront is important for the most realistic reproduction of the acoustic wave. In acoustics, the wave front (or wave surface) is defined as the totality of points in the space of the propagating medium that have the same instantaneous elongation amplitude. In the ideal case, in a homogeneous and isotropic propagation medium without other disturbances, the wave has a spherical symmetry, i.e. the shape of the wavefront is circular and at large distances from the wave source, due to dispersion, the shape of the wavefront can be considered plan. In practice, however, due to the multiple component harmonics, reflections and possible summations of the primary acoustic wave, the elongation has a non-sinusoidal shape, and the wavefront may have an irregular random shape. Moreover, if the source of the wave or bodies from which it is reflected are in motion, the shape of the wavefront may even be variable in time. The paper presents a method for determining the shape of the wave front of a non-sinusoidal periodic plane acoustic wave, resulting from the addition of several harmonic components, reflected waves, etc. It uses an array of omnidirectional capacitive microphones arranged in line, at equal distances between them. At each of the microphones, the acoustic wave is captured out of phase depending on the position of the microphone in space and the shape of the wave front. These phase shifts placed next to each other give an image of the shape of the wavefront captured by the microphone system. The method presented in this paper reproduces sounds very realistically and can be used in Active Noise Cancel systems, in open spaces, with one or more mobile noise sources. One of the benefits is the increase in hearing comfort in noisy environments. Another is to record sounds with high fidelity. © 2023 IEEE.

关键词： Wavefronts

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Electro-humidity responsive soft actuators based on cellulose nanofibers-nanocrystals for bioinspired applications

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Science China Technological Sciences 2025年

作者： Fan WANG Ruibin QI Yujiao WU Qinchuan LI Junhui ZHANG Sukho PARK School of Mechanical Engineering Zhejiang Sci-Tech University State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST)

Multifunctional responsive actuators have garnered considerable attention for their potential applications in soft robots, wearable devices, smart displays, environmental sensing, and biomimetic systems. Herein, we present a multifunctional color-changing ionic soft actuator that integrates electrical actuation and humidity-induced color-changing functionalities,fabricated using carboxylated cellulose nanofibers, ionic liquids, polyvinyl alcohol, cellulose nanocrystals, and poly(ethylene glycol) diacrylate. The electro-humidity responsive actuator exhibited remarkable actuation performance, including a maximum tip displacement(10.2 mm), low driving voltage(as low as 1.0 V), high operational stability(95.2% reliability after 2000actuation cycles), broad working frequency range(0.2–3.0 Hz), and exceptional tolerance to humid environments(90% relative humidity). In addition, the actuator showcased reversible and integrated color-changing capabilities. These features enabled the design of innovative devices, such as biomimetic flowers and smart color-changing windows with tunable optical ***, this multifunctional actuator provides a promising platform for applications in soft robots, optical anti-counterfeiting systems, information storage materials, and intelligent home technologies.

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