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International Conference on Newer trends and Innovations in Mechanical engineering, ICONTIME 2020

作者： Mohanavel, V. Vijay, K. Vigneswaran, A. Srinath, S. Gokulnath, S. Department of Mechatronics Engineering Chennai Institute of Technology ChennaiTamilnadu600069 India Department of Mechanical Engineering Chennai Institute of Technology ChennaiTamilnadu600069 India

In this present experimental work, magnesium matrix composites (MMCs) were manufactured by stir casting method. Magnesium is a metal which is more abundant and has very less density but the problems is it has better wear resistance and low hardness. To improve the properties of magnesium, ZrSiO4 ceramic powder are reinforced. The tribological and mechanical properties of composite materials were investigated. The effects of reinforcement on the mechanical properties of the composites were investigated by 0, 4 and 8 wt% of ZrSiO4 ceramic powder with a size of 40-60 mm. The primary aim is to investigate the mechanical and tribological behaviour of AZ91/ZrSiO4 composites. ZrSiO4 powders are added at required proportions to produce magnesium alloy (AZ91) matrix composites. AZ91 along with ZrSiO4 confirms fine mechanical properties. The demand of magnesium matrix composites has increased mainly due to its high specific strength, better damping properties, excellent cast ability and superior machining ability. © 2020 Elsevier Ltd. All rights reserved.

关键词： Magnesium alloys

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Programmable UV-Curable Resin by Dielectric Force

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Micromachines 2023年第2期14卷 490-490页

作者： Lin, Yi-Wei Chen, Chang-Yi Chang, Ying-Fang Chang, Yii-Nuoh Yao, Da-Jeng Institute of NanoEngineering and Microsystem National Tsing Hua University Hsinchu30013 Taiwan Mechanical and Mechatronics System Research Laboratories Industrial Technology Research Institute Hsinchu310401 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu30013 Taiwan

In this study, UV-curable resin was formed into different patterns through the programmable control of dielectric force. The dielectric force is mainly generated by the dielectric chip formed by the interdigitated electrodes. This study observed that of the control factors affecting the size of the UV resin driving area, current played an important role. We maintained the same voltage-controlled condition, changing the current from 0.1 A to 0.5 A as 0.1 A intervals. The area of droplets was significantly different at each current condition. On the other hand, we maintained the same current condition, and changed the voltage from 100 V to 300 V at 50 V intervals. The area of droplets for each voltage condition was not obviously different. The applied frequency of the AC (Alternating Current) electric field increased from 10 kHz to 50 kHz. After driving the UV resin, the pattern line width of the UV resin could be finely controlled from 224 um to 137 um. In order to form a specific pattern, controlling the current and frequency could achieved a more accurate shape. In this article, UV resin with different patterns was formed through the action of this dielectric force, and after UV curing, tiny structural parts could be successfully demonstrated. © 2023 by the authors.

关键词： Drops

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A Practical Approach in Design and Fabrication of Solar-Powered Four-Wheeled Electric Vehicle 1

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4th International Conference on Innovations in Electrical and Electronics engineering, ICIEEE 2019

作者： Gobhinath, S. Boobalan, S. Ashwin, R. Meshach, Jan Rajkumar, K. Department of Electrical and Electronics Sri Krishna College of Engineering &Technology Coimbatore India Department of Mechatronics Engineering Sri Krishna College of Engineering &Technology Coimbatore India Department of Electrical Engineering National Institute of Technology Trichy India

ISBN: (数字)9789811522567

ISBN: (纸本)9789811522550

In the twenty-first century transportation, industry has undergone rapid changes, with the advent of electric vehicles (EV), and the world is moving towards a clean and green future. The electric vehicles depend on electrical energy from coal-powered power plants for their charging;this dilemma has sought the attention of researchers and engineers to look out for a cleaner technology to power up the batteries. One of the possible solutions is solar-powered electric vehicle (SPEV);the solar-powered EV can self-charge its batteries without any turbulence caused to the environment. This paper enumerates multifarious design and fabrication strategies involved in building a practical off-road four-wheeled solar-powered electric vehicle. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Solar panels

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Dynamic Numerical Studies of a Rotorcraft Entering and Exiting Rectangular Tunnel

Dynamic Numerical Studies of a Rotorcraft Entering and Exiti...

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IEEE International Conference on e-Business engineering (ICEBE)

作者： Uzu-Kuei Hsu Hong-Bin Chang Yao-Yu Tsai Chang-Hsien Tai Bachelor Program in Artificial Intelligence and Mechatronics National Pingtung University of Science and Technology Kaohsiung City Taiwan SCERDC General Research Service Center National Pingtung University of Science and Technology Kaohsiung City Taiwan Dept. of Vehicle Engineering National Pingtung University of Science and Technology Kaohsiung City Taiwan ROC

In recent years, the utilization of multi-rotor drones has seen a steady rise. Unmanned aerial vehicles (UAV) have found diverse applications, including aerial photography, transportation, military operations, and agriculture. The advent of these compact flying machines offers humanity a range of convenient and versatile choices across various sectors. Although unmanned aerial vehicles hold significant practical value, their stable flight is contingent on favorable weather conditions. Consequently, it becomes crucial to investigate the influence of environmental airflow on aircraft stability. This is particularly important for small machines like rotary-wing aircraft operating in confined spaces, where understanding the aerodynamic effects of the flow field is crucial to avert potential crashes. This study delves into the variations in the flow field during the entry and exit of a single rotor into a tunnel. Utilizing dynamic simulations, it examines how tunnels impact the rotor’s flow field and analyzes thrust curves to understand dynamic rotor behavior. The study also explores the effect of vortex generation on the rotor and employs a simple square tunnel to assess how tunnel size and flight speed influence the rotor’s flow field during flight. The findings hold potential as reference points to enhance flight stability during tunnel flights.

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Paraconsistent annotated logic (pal) applied in the decision-making process of maintenance policy for kaplan turbine 30

Paraconsistent annotated logic (pal) applied in the decision...

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30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020

作者： Bellinello, Marjorie Maria De Souza, Gilberto Francisco Martha Murad, Carlos Alberto Netto, Adherbal Caminada De Andrade Melani, Arthur Henrique Carvalho, Miguel Ângelo De Rodrigues, Marcelo Department of Mechanical and Maintenance Engineering Utfpr - Federal University of Technology of Paran Brazil Department of Mechatronics and Mechanical Systems Engineering Usp - University of São Paulo Brazil Department of Mechatronics and Mechanical Systems Engineering Usp - University of São Paulo Brazil Department of Mechatronics and Mechanical Systems Engineering Usp - University of São Paulo Brazil Department of Mechatronics and Mechanical Systems Engineering Usp - University of São Paulo Brazil Department of Mechatronics and Mechanical Systems Engineering Usp - University of São Paulo Brazil Department of Electrotechnical Engineering Utfpr - Federal University of Technology of Paran Brazil

ISBN: (纸本)9789811485930

Electrical energy is the basis of the Brazilian energy matrix. Therefore, it is clear the need to maintain the availability and operational reliability of hydroelectric plants, so as not to compromise the continuity and conformity (quality) of the electrical energy supply. Ensuring availability along with the reliability of hydroelectric plants can be achieved by employing appropriate maintenance policies that reduce the likelihood of failure or even eliminate its root causes, preventing failure from occurring. The purpose of this paper is to show the use of Paraconsistent Annotated Logic with annotation of two values (PAL2v) combined with Best-worst Method (BWM) in the decision making process of the appropriate maintenance policy for the blades of a Kaplan turbine. The PAL2v method allows better decision making when there are contradictory values/opinions among engineering experts, when assigning the degree of belief or disbelief to any proposition. Based on the engineering experts attribution of belief and disbelief degrees to the criteria involved in the quantification of critical maintenance indicators, it was possible to structure a para-analyser algorithm integrating the values in the Unitary Square on the Cartesian Plane (USCP), and determining a single weight with greater degree of truth (V). By defining the indicator weights, it was possible to determine and prioritize the assertive maintenance actions for the turbine blade system. These maintenance actions (maintenance policy) aim to ensure availability and operational reliability to the energy generation process. ©ESREL2020-PSAM15 *** by Research Publishing, Singapore.

关键词： Reliability

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A Novel Future Predictive Approach to Model Healthcare Status Forecasting Based on BigData Evaluation Principle

A Novel Future Predictive Approach to Model Healthcare Statu...

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Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： Anitha G S. Sathiyavathi M. Dinesh S. Ramesh Rajkumar Chadge Imad Shalout Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences(SIMATS) Saveetha University Chennai Tamil Nadu India Department of CSE St. Joseph's College of Engineering Chennai Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India Department of Mechatronics Engineering Rajalakshmi Engineering College Chennai Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Department of Civil Engineering Faculty of engineering Zarqa university Zarqa Jordan University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

The rapid advancement of technology and the exponential growth in healthcare data have necessitated the development of robust predictive models to anticipate future healthcare trends and outcomes. This paper introduces a novel predictive approach designed to model healthcare status forecasting using the Big Data Evaluation Principle. We aimed to predict the healthcare status of an individual using EHR and genomic data, as well as environmental lifestyle factors based on a comprehensive dataset by proposing novel approaches in this research. It looks to create complex machine learning models that can detect subtle patterns and forecast health outcomes - such as the onset, advancement or exacerbation of diseases. This system is a new one called BigData enabled Predictive Healthcare Modeling (BPHM) which has verified by cross-validation with the existing method Predictive Modelling for Healthcare Analyzer known as PMHA and cost of personal healthcare can be decreased; also quality of life can be improved using proposed systems. The accuracy of the proposed method is 97.8%. Referring to high-level computational methods, the proposed model is meant for resource allocation, treatment plan personalization and improved patient outcomes. Furthermore, the work will apply robust evaluation measures to assess performance of this model and investigate how it can support health policy-making as well decision making. This work ultimately aims to help build a patient-centric predictive, preventative and personalized healthcare in future.

关键词： Accuracy Computational modeling Decision making Medical services Machine learning Predictive models Big Data Market research Data models Forecasting

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Utilization of Agro-Waste Materials as Viable Strengthening Agents in Carburisation: Review

Utilization of Agro-Waste Materials as Viable Strengthening ...

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Science, engineering and Business for Sustainable Development Goals (SEB-SDG), International Conference on

作者： Bose M. Edun O.O. Ajayi Sunday A. Afolalu Joseph F. Kayode A. T. Ogundipe A. A. Fajugbagbe ThermoFisher Scientific Ontario Canada Department of Mechanical Engineering Nigerian Building and Road Research Institute Ota Ogun State Nigeria Department of Mechanical and Mechatronics Engineering Afe Babalola University Ado Ekiti Nigeria Dept. of Mechanical Engineering Science University of Johannesburg South Africa Directorate of Information Communication Technology Afe Babalola University Ado Ado Ekiti Nigeria

ISBN: (数字)9798350358155

ISBN: (纸本)9798350358162

Wastes are unwanted by-products of a production process. Waste materials can be recycled and cannot be recycled that are left over after producing or developing significant products manufactured by humans. The rapid industrial revolution and urbanization have brought about a rise in the human population, which led to a massive volume of waste generation. It’s interesting to note that practically all agricultural activities produce huge waste, in many nations. Agriculture generates a lot of waste that is typically unused and poses a danger to food security and global health. However, treating these wastes could cause significant financial loss and pose a substantial risk to human health through environmental pollution. Organic wastes can be converted into gaseous, liquid, or solid products through chemical, mechanical, or biological processes which can further be used in industries including chemical, agricultural, food processing, and pharmaceuticals for the development of novel goods for mankind. The drive to undertake this study was inspired by the necessity of turning waste into wealth. This overview describes several agricultural waste products and the various industrial uses for them, including coconut and palm kernel shells, sawdust, charcoal, animal bones, and eggshells. This article also covered the state of agro-residue development based on several value-added uses (carburise low-content steel materials, remove heavy metal and dye, etc.), lowering production and characterisation costs. This article also discusses potential future developments of more effective and efficient bioconversion technology for transforming agricultural waste into high-value products.

关键词： Waste materials Pollution Reviews Environmentally friendly manufacturing techniques Sociology Production Sustainable development

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A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Image Anomaly Detection

arXiv

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arXiv 2024年

作者： Lin, Yuxuan Chang, Yang Tong, Xuan Yu, Jiawen Liotta, Antonio Huang, Guofan Song, Wei Zeng, Deyu Wu, Zongze Wang, Yan Zhang, Wenqiang Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai200438 China Shanghai Engineering Research Center of AI & Robotics Academy for Engineering & Technology Fudan University Shanghai200438 China Faculty of Computer Science Free University of Bozen-Bolzano Bolzano39100 Italy College of Information Technology Shanghai Ocean University Shanghai201306 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China

In the advancement of industrial informatization, unsupervised anomaly detection technology effectively overcomes the scarcity of abnormal samples and significantly enhances the automation and reliability of smart manufacturing. As an important branch, industrial image anomaly detection focuses on automatically identifying visual anomalies in industrial scenarios (such as product surface defects, assembly errors, and equipment appearance anomalies) through computer vision techniques. With the rapid development of Unsupervised industrial Image Anomaly Detection (UIAD), excellent detection performance has been achieved not only in RGB setting but also in 3D and multimodal (RGB and 3D) settings. However, existing surveys primarily focus on UIAD tasks in RGB setting, with little discussion in 3D and multimodal settings. To address this gap, this artical provides a comprehensive review of UIAD tasks in the three modal settings. Specifically, we first introduce the task concept and process of UIAD. We then overview the research on UIAD in three modal settings (RGB, 3D, and multimodal), including datasets and methods, and review multimodal feature fusion strategies in multimodal setting. Finally, we summarize the main challenges faced by UIAD tasks in the three modal settings, and offer insights into future development directions, aiming to provide researchers with a comprehensive reference and offer new perspectives for the advancement of industrial informatization. Corresponding resources are available at https://***/Sunny5250/Awesome-Multi-Setting-UIAD. Copyright © 2024, The Authors. All rights reserved.

关键词： Smart manufacturing

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Development of a model for the optimization of energy consumption during the milling operation of titanium alloy (Ti6Al4V)

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Materials Today: Proceedings 2021年 38卷 614-620页

作者： I. Tlhabadira I.A. Daniyan L. Masu K. Mpofu Department of Mechanical and Mechatronics Engineering Tshwane University of Technology Pretoria 0001 South Africa Department of Industrial Engineering Tshwane University of Technology Pretoria 0001 South Africa Department of Mechanical Engineering Vaal University of Technology Vanderbijlpark South Africa

The quest for improvement in the cost effectiveness, environmental friendliness and the energy efficiency during the machining process of titanium alloy has necessitated the use of numerical and physical experimentations for the optimization of energy consumption. The Response Surface Methodology (RSM) was employed for the numerical experimentation with the process parameters in the following range; cutting speed (250–270 mm/min), feed rate (0.05–030 mm) and axial depth of cut (0.50–3.0 mm). The physical experiments were investigated using a DMU80monoBLOCK Deckel Maho 5-axis CNC milling machine with a spindle speed of 1800 rpm. A mill cutter (SF550: HRC 40-HRC 50) was employed for the cutting operation while a KISTLER dynamometer (9257A 8-Channel Summation of Type 5001A Multichannel Amplifier) with the data acquisition system was used for the cutting force measurement. Using the 2FI model, the statistical analysis of the results obtained produced a mathematical model which correlates the process parameters as a function of the specific cutting energy. The results obtained show that the specific cutting energy, cutting speed and depth of cut increases with a decrease in feed rate. The findings of this work will assist manufacturers in the energy optimization and conservation during the machining operation of titanium alloy.

关键词： Dynamometer Cutting energy Optimization Process parameters RSM

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Review of advances and challenges in machining of metal matrix composites

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Journal of Materials Research and technology 2025年 37卷 1061-1085页

作者： Leonardo Rosa Ribeiro da Silva Artur Camposo Pereira Sergio Neves Monteiro Mustafa Kuntoğlu Rüstem Binali Aqib Mashood Khan Deepak Rajendra Unune Danil Yu Pimenov Federal University of Uberlandia Av. João Naves de Ávila 2121 CEP: 38400-902 Uberlândia MG Brazil Metallurgical Engineering Federal University of Ouro Preto CEP 35400-000 Ouro Preto MG Brazil Military Institute of Engineering Praça Gen. Tibúrcio 80 - Urca Rio de Janeiro RJ 22290-270 Brazil Faculty of Technology Selcuk University Konya Turkey College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology Jaipur 302031 India Department of Automated Mechanical Engineering South Ural State University Lenin Prosp. 76 Chelyabinsk 454080 Russia

Metal Matrix Composites (MMCs) are pivotal in industries such as aerospace, automotive, and engineering due to their exceptional mechanical properties, including high strength, stiffness, and wear resistance. However, their heterogeneous structure and abrasive reinforcement particles present significant challenges during machining, such as excessive tool wear, surface defects, and unpredictable cutting dynamics. This comprehensive review addresses these challenges by exploring advancements in machining techniques, tool materials, and process optimization. The study systematically evaluates the influence of cutting parameters, tool coatings, lubrication strategies, and hybrid machining methods on surface integrity, tool wear, material removal rate (MRR), and chip morphology. Novel contributions include an in-depth analysis of cryogenic and Minimum Quantity Lubrication (MQL) techniques, textured tool designs, and the integration of computational simulations such as finite element modeling (FEM) to predict machining outcomes. Key findings highlight the potential of advanced coatings, optimized cutting parameters, and hybrid cooling methods to enhance machining efficiency while maintaining environmental sustainability. By bridging gaps in existing literature and offering actionable insights, this review provides a robust framework for improving the machinability of MMCs and meeting the demands of high-performance industrial applications.

关键词： Metal matrix composite (MMC) Machining Surface integrity Tool wear Material removal rate (MRR) Machinability

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