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A step parameters prediction model based on transfer process neural network for exhaust gas temperature estimation after washing aero-engines

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Chinese Journal of Aeronautics 2022年第3期35卷 98-111页

作者： Zhiqi YAN Shisheng ZHONG Lin LIN Zhiquan CUI Minghang ZHAO School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China Department of Vehicle Engineering Harbin Institute of TechnologyWeihai 264209China School of Naval Architecture and Ocean Engineering Harbin Institute of TechnologyWeihai 264209China

The prediction of Exhaust Gas Temperature Margin(EGTM)after washing aeroengines can provide a theoretical basis for airlines not only to evaluate the energy-saving effect and emission reduction,but also to formulate reasonable maintenance ***,the EGTM encounters step changes after washing aeroengines,while,in the traditional models,a persistence tendency exists between the prediction results and the previous data,resulting in low accuracy in *** order to solve the problem,this paper develops a step parameters prediction model based on Transfer Process Neural Networks(TPNN).Especially,“step parameters”represent the parameters that can reflect EGTM step *** are analyzed in this study,and thus the model concentrates on the prediction of step changes rather than the extension of data *** learning is used to handle the problem that few cleaning records result in few step changes for model *** comparison with Long Short-Term Memory(LSTM)and Kernel Extreme Learning Machine(KELM)models,the effectiveness of the proposed method is verified on CFM56-5B engine data.

关键词： Aero-engine washing Data step changes Exhaust Gas Temperature Margin(EGTM) Neural networks Transfer learning

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Railway Gate Automation Using Onboard Computing Techniques 2

Railway Gate Automation Using Onboard Computing Techniques

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2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2023

作者： Surya, S. Kausik, P. Diyaneshwaran, G. Raffik, R. Kumaraguru College of Technology Electronics and Communication Engineering Coimbatore India Kumaraguru College of Technology Mechatronics Engineering Coimbatore India

ISBN: (纸本)9798350306811

The automation of railway gates is a critical aspect of enhancing the safety and effectiveness of railway systems. To accomplish this, we suggest using an Arduino-based system that employs an IR sensor to identify incoming trains and send a signal to a motor driver to operate the railway gates. The IR sensor detects the presence of the train, which prompts the Arduino board to activate the motor driver to close the gate. After the train crosses another IR sensor, the IR sensor knows that the Train is leaving and gives a signal to the Arduino Uno to make the gate open. This system confirms that the railway gate is closed and opened without human beings, decreasing the cause of accidents, and improving the efficiency of whole railway operations. Because the use of Arduino technology in this project is cost-effective and easy to implement, it is a suitable solution for railway gate automation. © 2023 IEEE.

关键词： Automation

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Biological Waste Water Hyacinth (Eichhornia crassipes) Plant Powder Particle with Eggshell Filler-reinforced Epoxy Polymer Composite Material Property Analysis

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Journal of Bionic engineering 2023年第3期20卷 1386-1399页

作者： Ajithram Arivendan Winowlin Jappes Jebas Thangiah Sumesh Ramakrishnan Dawood Ahmed Desai Department of Mechanical Engineering Karpaga Vinayaga College of Engineering and TechnologyChengalpattuTamil NaduIndia Department of Mechanical Engineering and Centre for Composite Materials Kalasalingam Academy of Research and EducationVirudhunagarTamil NaduIndia Department of Mechanical Engineering Czech Technical University in PraguePragueParaguay Department of Mechanical and Mechatronics Engineering Tshwane University of TechnologyPretoriaSouth Africa

In this study, water hyacinth powder-reinforced polymer composites with eggshell filler material are investigated for their mechanical, absorption, morphological, thermal, and characterization properties. Hyacinth powder particles have not been extensively studied in polymer composites. This study investigates the use of eggshell powder for composites made from hyacinth powder. The use of hyacinth powder improves the mechanical properties of composites. With the help of the powder particles, composite samples are produced by compression moulding using an epoxy polymer matrix. 5% eggshell filler varied from 18.25 to 33.64 MPa for tensile strength, 40.28–49.66 MPa for flexural strength, and 2.45–4.75 J for impact strength. X-ray diffraction and Fourier transforms can be used to determine chemical groups, function groups, and crystallinity indexes. Powder particles can be observed by scanning electron microscopes in terms of their bonding behavior, eggshell powder combinations, and primary- and secondary-phase material absorption. According to the research presented in this paper, commercial particleboard applications can benefit substantially from hyacinth powder particles reinforced with eggshell fillers.

关键词： Water hyacinth plant powder Bioinspired composites Mechanical properties Hardness Absorption studies XRD FTIR SEM

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Design and Simulation of Mecanum-Kresling Wheel 11

Design and Simulation of Mecanum-Kresling Wheel

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11th IEEE International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2024

作者： Thai, Phuong Thao Nguyen, Ngoc Hai Thai Tat, Hoan Nguyen School of Mechanical Engineering Hanoi University of Science and Technology Dpt. of Mechatronics Hanoi Viet Nam

ISBN: (纸本)9798350350142

Origami has been used to design deployable systems by folding and unfolding along the crease lines. Because of its flexibility and foldability using non-rigid material, the Kresling origami pattern has been used in several designs. We create a rigid origami-inspired mechanism based on Kresling pattern with deployability and customizable collapsibility that produces a novel use in mecanum wheel design. This mechanism is deployable when collapsed and can be selectively collapsed by altering the twisting angle. The mechanical in the mecanum wheel provides direction shifting functionality while being highly deployable and collapsible. In this work, the ability to deploy the rigid Kresling mechanism into Mecanum wheel is designed and simulated in MATLAB and Solid Work. © 2024 IEEE.

关键词： MATLAB

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Partial Discharge Pulse Shape Analysis for Progression of Insulation Degradation in Medium Voltage Cable

Partial Discharge Pulse Shape Analysis for Progression of In...

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2023 International Electrical engineering Congress, iEECON 2023

作者： Choudhary, Maninder Shafiq, Muhammad Kiitam, Ivar Palu, Ivo Hassan, Waqar Tallinn University of Technology Department of Electrical Power Engineering & Mechatronics Tallinn Estonia University of Engineering & Technology Lahore Pakistan

ISBN: (纸本)9798350332360

Measurement of partial discharge (PD) pulses is a method used in quantifying PD activity within defective insulation. PD pulses propagate away from the defect along the cable and can be measured by sensors such as high frequency current transformers (HFCT). These PD pulses contain information that describes the behavior of PD activity in the degrading insulation. Pulse shape analysis (PSA) is an efficient method to analyze the degradation behavior of insulation. In this study, the PSA is performed on a medium voltage cable sample with surface discharges emerging from a damaged cable termination. PSA is performed based on rise time, fall time, and pulse width of individual PD pulses that are extracted from the PD data measured in the form of phase resolved PD pattern under increasing electrical stress conditions. The Gaussian model is implemented to find best-fit lines which describe the correlation of PSA quantities and electrical stress. The presented study results can be useful in improving the diagnostics of aging power cables. © 2023 IEEE.

关键词： Partial discharges

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Bare Printed Circuit Board Defects Localization and Detection Using YOLOv5 Models 6

Bare Printed Circuit Board Defects Localization and Detectio...

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6th International Conference on Robotics and Automation in Industry, ICRAI 2024

作者： Khan, Wajih Ahmed Hamza, Amir Akram, Muhammad Usman Khan, Umar Shahbaz Nawaz, Tahir National University of Sciences and Technology Dept. of Mechatronics Engineering Islamabad Pakistan National University of Sciences and Technology Dept. of Computer Engineering Islamabad Pakistan

ISBN: (纸本)9798350355703

A printed circuit board (PCB) is a vital component of any electronic device. Over the years, the need to manufacture PCBs in large volumes has become a necessity due to technological advancement and the expansion of the consumer market. Small defects in the PCB signal trace can have adverse consequences on the functionality of an electronic device. Initially, the quality control process of PCB inspection was carried out manually which was not only tedious but also susceptible to human error. To automate this process, different techniques were developed using classical machine vision that comprised reference comparison, subtraction of images and morphological operations. The methods were effective and reduced inspection time but were sensitive to noise, rotation, and scaling of images. It was difficult to detect defects in complex patterns and only a small fraction of defects could be detected through classical techniques. In this study, four YOLOv5 models were tested for the classification and localization of defects in PCBs. Transfer learning on the bare PCB defect dataset was implemented using pretrained weights of YOLOv5. The PCB dataset was composed of 2,079 images with 6 classes of PCB defects. Data augmentations were carried out to increase the dataset which enhanced performance and generalizability of the models. The models were trained and tested at different image resolutions. Promising experimental results were achieved with the medium YOLOv5 model reaching a mean average precision of 96.92%. © 2024 IEEE.

关键词： Machine vision

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Automated Smart Trolley System using RFID technology 2

Automated Smart Trolley System using RFID Technology

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2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2023

作者： Rahul, R. Saastha, Sree Nandan P Sai, Prasath S Yashwanth, M.S. Raffik, R. Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore India Mechatronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9798350306811

In this fast-running world, time is one of the precious things. People who are shopping in malls and supermarkets spend a lot of time waiting at the billing counter. Tackling this problem and considering the flaws in the current billing system paved the way for the development of an automatic smart trolley for supermarkets. This trolley saves customers' time and effort by reducing the amount of time they need to spend at the billing counter, during their shopping. Based on the Node MCU (ESP8266) microcontroller and RFID tags, this project scans products. The scanned products will be displayed on the OLED screen which helps the customer to keep track of the total items along with the total cost. This makes the customer enjoy shopping and thus saves time. © 2023 IEEE.

关键词： Microcontrollers

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Thrust and Drag Estimation of a Tensegrity Robotic Tuna by Linear Acceleration Analysis in Terms of Averaged Equation of Motion

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Journal of Bionic engineering 2024年第6期21卷 2804-2816页

作者： Hongzhou Jiang Yanwen Liu School of Mechatronics Engineering Harbin Institute of TechnologyRoom 320Building 2FNo.2 Yi-Kuang StreetNan-Gang DistrictHarbin150001China College of Mechanical and Electrical Engineering Northeast Forestry UniversityHarbin150040China

The averaged equation of motion for linear acceleration in the BCF swimming mode was derived using the Elongated Body Theory(EBT)through time *** analytical solution for the linear acceleration swimming velocity was obtained,revealing that the average velocity follows a hyperbolic tangent function of time,which can be considered a semi-empirical formula for linear acceleration *** formula’s parameters,such as the steady swimming velocity and the acceleration time constant,can be determined by conducting experiments on linear acceleration,enabling the estimation of drag coefficient,effective added mass,thrust,and drag *** developed a tensegrity robotic tuna and conducted a linear acceleration *** results confirmed both the averaged equation of motion and its empirical formula,indicating that the formula is not limited by EBT and can be extended to large amplitude swimming and thunniform swimmers with large aspect ratio caudal *** provides researchers with an efficient and easy-to-implement method to estimate the swimming thrust and drag forces through linear acceleration experiments,without the need for complex and expensive flow field and force measurement equipment.

关键词： Body and/or caudal fin Linear acceleration swimming Robotic fish Tensegrity Thrust Drag

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Parametric analysis in the machining of gun metal using computer numerical control turning process

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Interactions 2025年第1期246卷 1-11页

作者： Santhanakrishnan, R. Marichamy, S. Anandavelu, K. Gomathy, V. Vinu, A. Thava Veerappan, G. Ram, S. Sheeba, T. Blesslin Department of Mechanical Engineering & Registrar Evaluation CMR University Bengaluru India Department of Mechanical Engineering MRK Institute of Technology Tamil Nadu Kattumannarkoil India Department of Electrical and Electronics Engineering Kathir College of Engineering Coimbatore India DMI College of Engineering Aralvaimozhi India Department of Mechatronics Engineering Sri Krishna College of Engineering and Technology Tamilnadu Coimbatore India Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India Department of Electronics and Communication Engineering R.M.K. Engineering College Kavaraipettai India

The quality of the machining of the materials is depending on the input constrains of the process and its composition of different alloying elements. The outstanding material properties of gun metal are achieved by the composition of copper, tin and zinc. This paper to investigate the machining behaviors of gun metal through computer numerical control turning process with different input constrains. The response factors such as cutting force, tool tip temperature and surface roughness are evaluated by manipulate the input factors. The experimental results are compared with response surface methodology model (RSM). It is used to optimize the input and output factors. The minimized cutting force, tool tip temperature and surface roughness are 84.87 N, 200.10 C and 0.75 microns respectively. The surface plots are used to correlate the dependent and independent variables. The novelty of the experiment is that parametric analysis in the machining of gun metal using computer numerical control turning process. Investigate the cutting force, tool temperature and surface roughness of the gun metal and it can be recommended to rotating elements such as gears and bearings. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Cutting force Gun metal Machining behaviors RSM Tool tip temperature Turning

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Revolutionizing Automotive Materials through Enhanced Mechanical Properties of Epoxy Hybrid Bio-Composites with Hemp, Kenaf, and Coconut Powder

Revolutionizing Automotive Materials through Enhanced Mechan...

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2023 International Conference on Trends in Automotive Parts Systems and Applications, TAPSA 2023

作者： Kaliappan, S. Natrayan, L. KCG College of Technology Department of Mechatronics Engine India Saveetha School of Engineering Department of Mechanical India

Introducing a groundbreaking exploration into the mechanical properties of epoxy hybrid biocomposites, this study unveils a comprehensive analysis encompassing tensile strength, flexural properties, impact resistance, and hardness characteristics. The materials under scrutiny include hemp fiber (H), kenaf fiber (K), and coconut powder (CP), both in their untreated state and after undergoing alkaline processing. This research marks a significant milestone in understanding these sustainable materials and their potential for enhancing composite materials. In this endeavour, hemp is the basis material, while kenaf and coconut are filler elements. The total weight proportion of hemp was kept constant while the other two fibre fillers were changed. The unprocessed laminate sample significantly improves tensile, flexural, and impact strength with increasing coconut fiber loading. The improved interlinking capacity of the natural fibre composites (NFC) and an epoxy matrix is also to blame for the composite's efficient resistance competency. Furthermore, the creation of powerful hydrogen bonds due to the increased polarisation of the epoxy matrix improved the bending characteristics of the hybrid natural composites. Untreated specimens' impact strength was enhanced by up to 20% wt. of CP and K. The addition of more CP and K had a detrimental effect. Furthermore, as coconut fibre loading increased, the hardness value of unprocessed samples declined steadily. The mechanical properties of unprocessed material and chemically modified hybrid samples were evaluated. Compared to unprocessed composite samples, the results of alkali-treated composite samples demonstrate more excellent tensile, flexural, compression, impact strength, and hardness. SEM examinations on the fractured surface of hybrids revealed that surface alteration of the fibre occurred, which increased fibre-matrix interaction. © 2024 Author(s).

关键词： Tensile strength

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