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ASME 2024 International mechanical engineering Congress and Exposition, IMECE 2024

作者： Guo, Qi Everage, Daxton Zhang, Qinhe Department of Engineering & Computer Science McNeese State University Lake CharlesLA United States School of Mechanical Engineering Shandong University Jinan China

ISBN: (纸本)9780791888650

Thermodynamics is a fundamental subject in engineering education, yet it often poses challenges for students due to its abstract nature and complex concepts. One particularly difficult topic within thermodynamics is refrigeration cycles, which require a deep understanding of thermodynamic principles and their practical applications. This paper explores the implementation and impact of hands-on refrigeration labs in an engineering curriculum to enhance students' understanding of thermodynamics, specifically focusing on refrigeration systems. The hands-on labs utilize a refrigeration cycle hands-on trainer, providing students with practical experience in measuring temperature and pressure, analyzing heat transfer and thermodynamic work with enthalpy and entropy data, computing refrigerant mass flow rate and Coefficient of Performance (COP), and applying thermodynamic principles to real-world scenarios. By conducting these labs, students not only deepen their theoretical knowledge but also develop critical skills such as problem-solving, critical thinking, and practical application of engineering principles. The hands-on refrigeration labs demonstrate the effectiveness of experiential learning methodologies in enhancing students' understanding of thermodynamics. Through the lab activities, many students expressed that the labs significantly improved their understanding of refrigeration systems and their ability to apply thermodynamic concepts in engineering practice. This experiential learning approach bridges the gap between theory and practice, preparing students for future engineering challenges and enhancing their readiness for the workforce. Copyright © 2024 by ASME.

关键词： Students

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A Multi-Objective Approach for Optimizing Technical, Environmental, and Economic Impact of Energy Communities: A Case Study of a Residential Community in Tarragona 37

A Multi-Objective Approach for Optimizing Technical, Environ...

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37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2024

作者： Elomari, Youssef Mateu, Carles Marín-Genescà, M. Boer, Dieter Department of Mechanical Engineering Universitat Rovira i Virgili Tarragona Spain Department of Computer Science and Industrial Engineering University of Lleida Lleida25001 Spain

ISBN: (纸本)9798331307660

In this paper, we introduce a novel framework tailored for the design and optimization of renewable energy communities (RECs) in residential areas, emphasizing a balance between techno-economic feasibility and environmental impact. Our approach focuses on determining the optimal design of configuration and sizing of renewable energy technologies, including photovoltaic systems, wind turbines, and battery electrical energy systems, guided by comprehensive criteria encompassing energy efficiency, cost-effectiveness, and environmental impact. We have developed a data-driven framework that merges the capabilities of Homer Pro with an in-house-developed Python tool to perform the calculations of environmental and economic factors. This framework integrates an advanced machine-learning algorithm and incorporates both life cycle cost (LCC) and life cycle assessment (LCA) in evaluating the REC model. Our model lies in establishing a multi-objective optimization model that not only strives to minimize LCC and LCA parameters but also aims to maximize the utilization of green energy. Additionally, this study is further reinforced by the incorporation of a Multi-Criteria Decision-Making (MCDM) approach through the Weighted Sum Model (WSM), which enables stakeholders to weigh their preferences regarding LCC, LCA, thereby facilitating the selection of a REC scenario that best aligns with their specific objectives. This represents an advancement in REC system planning, providing a nuanced and customizable tool for the residential sector to adopt sustainable energy solutions effectively. A case study of a residential community of 100 buildings in Tarragona, Spain, is used to demonstrate the framework application. The findings of our case study highlight significant economic and environmental benefits in REC design, showcasing an optimal solution that dramatically reduces the levelized cost of energy (LCOE) by 85% in comparison to the base case scenario with a payback period of 7.1

关键词： Clean energy

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A Comparative Study on the Properties of Carbon Fiber-Reinforced Polymer Composites Developed by Hand Layup and Vacuum Bagging Molding Techniques

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Journal of The Institution of Engineers (India): Series D 2024年第1期106卷 263-275页

作者： Amar, Thakur Abhinav Kumar, Amit Yadav, D.K. Department of Production and Industrial Engineering Birla Institute of Technology Jharkhand Mesra Ranchi835215 India Department of Mechanical Engineering National Institute of Technology Bihar Patna800005 India Department of Computer Science and Engineering National Institute of Technology Jharkhand Jamshedpur831014 India

The present study addressed the fabrication of carbon fiber-reinforced polymer (CFRP) composites using two different techniques: manual layup and vacuum bagging molding. The purpose was to compare their unique properties. CFRP composites employ woven roving mat carbon fiber as a reinforcing material, combined with an epoxy matrix consisting of Araldite and hardener. The resin to fiber ratio has been maintained at a 1:1 ratio, while the resin to hardener ratio has been maintained at a 10:1 ratio by weight. Various stacking sequences of carbon/epoxy composites (0/90) were made using both approaches. Optimization of several process parameters was carried out to enhance the mechanical properties of the polymer composites. Every laminate was composed of four to eight layers. Various carbon/epoxy composite orientations were subjected to testing until failure using a universal testing machine, in accordance with the relevant applicable standards (ASTM-D3039), in order to determine the ultimate tensile strength, % elongation (or ductility), and elastic constant. Furthermore, the adhesion intensity between the fiber and resin was assessed by conducting microstructural studies using a scanning electron microscope. The results demonstrated that the samples fabricated using the vacuum bagging mold technique exhibited superior tensile strength compared to the samples fabricated using the hand layup approach. © 2024, The Institution of Engineers (India).

关键词： Resins

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Improved Energy Efficient Divergent Path Routing for Energy-Harvesting Wireless Sensor Networks 9

Improved Energy Efficient Divergent Path Routing for Energy-...

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9th International Conference on Communication and Electronics Systems, ICCES 2024

作者： Sivakumar, S. Sabaresan, V. Prakash, S. Om Dharmaraj, T.B. Nehru Institute of Engineering and Technology Department of Computer Science and Engineering India St.Joseph's Institute of Technology Department of Computer Science and Engineering India Ppg Institute of Technology Department of Mechanical Engineering India Ppg Institute of Technology Department of Information Technology India

ISBN: (纸本)9798350377972

Since packets are dropped when there is an insufficient connection between each of the sensor nodes in the network, a sensor node in a sensor network is unable to efficiently aggregate the data packets. Since each area has a different sensor node location, the sender node rarely shares information with its neighbour. Only a certain number of packets are received for each communication, the rest are dropped, and the communication is lost. In order to determine each node's minimum residual energy level, the node transmits packets on the path once more. It raises the energy consumption and packet loss rate. Energy-efficient packet aggregation along the network environment is the goal of the suggested Improved Energy Efficient Divergent Path Routing (IEEDP) technique. The node's position is clearly tracked before a different route is assigned for routing. Using metrics such as end-to-end delay, overhead for communication, packet delivery ratio, link stability, consumption of energy, packet loss, and network lifetime using a simulation model, the suggested improved energy efficient divergent path routing (IEEDP) approach outperformed existing methods like Wireless Access Range (WAR) and Congestion-Aware Clustering And Routing (CCR). Energy preservation is a process to extend the network's lifetime by examining the residual Energy Effects on EH-WSN. The Combining Packet Aggregation algorithm is made for sensor networks and collects data packets without any loss during the entire transmission period from the origin node to a target node in a network environment. It lowers energy consumption and packet loss rate. © 2024 IEEE.

关键词： Packet loss

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Misaligned Visible-Thermal Object Detection: A Drone-based Benchmark and Baseline

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-12页

作者： Song, Kechen Xue, Xiaotong Wen, Hongwei Ji, Yingying Yan, Yunhui Meng, Qinggang School of Mechanical Engineering and Automation Northeastern University ShenyangLiaoning 110819 China Department of Computer Science Loughborough University LE11 3TU Loughborough U.K

Multispectral object detection has achieved remarkable results due to its ability to fuse information from visible and thermal modalities in recent years. However, the existing visible-thermal datasets are constructed based on manually aligned image pairs, which cannot fully represent the challenges of real-world scenarios where image pairs are often misaligned. Existing methods for visible-thermal object detection are based on aligned data and are limited by the accuracy of registration. To address the above issues, we propose a dataset, namely DVTOD, which is a misaligned visible-thermal object detection dataset captured by drones. DVTOD includes 16 challenging attributes and 54 capture scenes. Furthermore, we introduce a cross-modal alignment detector (CMA-Det) for misaligned visible-thermal object detection. Firstly, we design an alignment network to estimate the visible-to-thermal deformation field, which is used to correct for misalignment of the corresponding visible and thermal features. Secondly, we propose a strategy called Object Search Rectification (OSR) to improve the robustness of feature alignment. To better remove the interference of complex backgrounds, a bi-directional feature correction fusion module (BFCFM) is designed to calibrate bimodal features by exploiting the correlation of channel and spatial information between two modalities. CMA-Det outperforms existing methods on the DVTOD dataset and two other visible-thermal object detection datasets. The dataset and code will be published at https://***/VDT-2048/DVTOD. IEEE

关键词： Real time systems

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A Non-parametric Gradient-Based Shape Optimization Approach for Solving Inverse Problems in Directed Self-Assemblyof Block Copolymers

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Communications on Applied Mathematics and Computation 2024年第2期6卷 1472-1489页

作者： Daniil Bochkov Frederic Gibou Department of Mechanical Engineering University of CaliforniaSanta BarbaraSanta BarbaraCA93106USA Department of Computer Science University of CaliforniaSanta BarbaraSanta BarbaraCA 93106 USA

We consider the inverse problem of finding guiding pattern shapes that result in desired self-assembly morphologies of block copolymer ***,we model polymer selfassembly using the self-consistent field theory and derive,in a non-parametric setting,the sensitivity of the dissimilarity between the desired and the actual morphologies to arbitrary perturbations in the guiding pattern *** sensitivity is then used for the optimization of the confining pattern shapes such that the dissimilarity between the desired and the actual morphologies is *** efficiency and robustness of the proposed gradient-based algorithm are demonstrated in a number of examples related to templating vertical interconnect accesses(VIA).

关键词： Block copolymers Directed self-assembly Inverse design Shape optimization Vertical interconnect accesses(VIA)

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Enhanced Rainfall Prediction: Leveraging Ensembling Models for Maximum Forecasting Performance 1

Enhanced Rainfall Prediction: Leveraging Ensembling Models f...

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1st International Conference on Advanced Computing and Emerging Technologies, ACET 2024

作者： Dasari, Krishna Kumar Nuthanakanti, Bhaskar Raju, K.Srujan Madhusudhan, Mudimela Nazare, Sanjana S Raji Reddy, Avala Cmr Technical Campus Dept. Computer Science and Engineering Telangana Hyderabad India Cmr Dept. of Mechanical Engineering Telangana Hyderabad India

ISBN: (纸本)9798350367720

Many important fields rely on accurate rainfall predictions, including agriculture, water resource management, and emergency preparation. The many nonlinear interactions included in weather data are notoriously difficult for traditional approaches to grasp. Agriculture, water resource management, and disaster preparation are just a few of the many sectors that might benefit greatly from accurate rainfall predictions. Because meteorological data is both complicated and dynamic, traditional methods often get it wrong. Recent years have seen encouraging results in the use of machine learning (ML) approaches, especially ensemble models, to enhance the precision and consistency of precipitation forecasts. This research provides a new method for predicting precipitation using an ensemble of ML models. The ensemble model EERP algorithm combines the predictions of numerous base learners to create a more reliable and accurate forecast. Decision trees, random forests, gradient boosting machines, neural networks, and other ML approaches serve as the ensemble's base learners. Assess the effectiveness of the proposed approach and then compare it with some existing classifiers in which the proposed classifier gave the best accuracy when compared with the other i.e., 96 %. © 2024 IEEE.

关键词： Prediction models

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Evaluation of Range Sensing-based Place Recognition for Long-term Urban Localization

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第5期9卷 1-12页

作者： Ma, Weixin Yin, Huan Yao, Lei Sun, Yuxiang Su, Zhongqing Department of Mechanical Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Department of Mechanical Engineering City University of Hong Kong Kowloon Hong Kong

Place recognition is a critical capability for autonomous vehicles. It matches current sensor data with a pre-built database to provide coarse localization results. However, the effectiveness of long-term place recognition may be degraded by environment changes, such as seasonal or weather changes. To have a deep understanding of this issue, we conduct a comprehensive evaluation study on several state-of-the-art range sensing-based (i.e., LiDAR and radar) place recognition methods on the Borease dataset, which encapsulates long-term localization scenarios with stark seasonal variations and adverse weather conditions. In addition, we design a novel metric to evaluate the influence of matching thresholds on place recognition performance for long-term localization. Our results and findings provide fresh insights to the community and potential directions for future study. IEEE

关键词： Optical radar

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Design and Exploration of Digital Media Comprehensive Experiment Based on 3E 18th

Design and Exploration of Digital Media Comprehensive Experi...

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18th International Conference on computer science and Education, ICCSE 2023

作者： Pan, Huawei Li, Li College of Computer Science and Electronic Engineering Hunan University Hunan Changsha China College of Mechanical and Vehicle Engineering Hunan University Hunan Changsha China

ISBN: (纸本)9789819707362

In order to enable college students to integrate the knowledge of various professional courses and break the experimental barriers between professional courses, and under the background of promoting the construction of Emerging engineering Education (3E) by the Ministry of Education of China, this paper studies and explores the teaching contents and methods of comprehensive experiment of digital media courses, aiming at cultivating students’ ability of innovative thinking, analyzing and solving complex problems, and improving students’ ability of mutual cooperation and engineering practice. Based on Outcomes Based Education (OBE), a comprehensive experimental case of interaction between virtual objects and hand posture is designed. The case puts forward an assessment method focusing on the evaluation of students’ comprehensive experimental practice ability. The experiment case can broaden students’ horizons, cultivate students’ innovative spirit, improve students’ engineering practice ability. We achieved good teaching results in practice. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Students

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Design of Mobile Robot Automatic Navigation System Based on ROS 5

Design of Mobile Robot Automatic Navigation System Based on ...

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5th Asia-Pacific Conference on Image Processing, Electronics and computers, IPEC 2024

作者： Duan, Chenxu Xue, Ling Kumar, Sachin School of Mechanical Engineering Sichuan University Jinjiang College Meishan620680 China Department of Computer Science and Engineering Galgotias College of Engineering and Technology Greater Noida India

ISBN: (纸本)9781643685243

Mobile robot is the key equipment of flexible production system, flexible handling system and automatic storage system. As an important bridge connecting logistics and production, mobile robot can effectively improve the production efficiency of manufacturing enterprises and reduce production costs. Under the background of the close combination of information technology and manufacturing industry, higher requirements are put forward for its automation and intelligence. Aiming at the problem of large error accumulation caused by the existing navigation methods using odometer navigation and GPS navigation technology, this paper takes Turtlebot3-waffle mobile robot as the research object and carries out the research of automatic navigation system. Firstly, the basic motion and attitude are analyzed, and the forward and inverse kinematics models and dead reckoning formulas are established. Then, the core algorithms of map building, autonomous positioning and autonomous navigation are studied, and several simulation environments are established on the ROS simulation platform to verify the algorithms. Finally, an autonomous navigation simulation system is built on the ROS platform, and the laser radar SLAM map based on gmapping algorithm is constructed for the established simulation environment model, and the automatic navigation function is simulated by using the map. In the experiment, the robot successfully planned the corresponding local path and global path and successfully reached the navigation target point, which verified the feasibility and effectiveness of the automatic navigation system. It provides a reference for the research of mobile robot automatic navigation system. © 2024 The Authors.

关键词： Motion planning

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