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Production and nTopology optimization of an additive manufactured support for smart glasses 智能眼镜支架的生产和拓扑优化
Q4 Engineering Pub Date : 2024-01-31 DOI: 10.24840/2183-6493_0010-001_002057
Francisca Nunes, Mariana Trindade, Jose M. Costa
The fast development of Additive Manufacturing (AM) technology over the past few decades has been remarkable, and it is expected that this development will continue. This technology has benefits over conventional production techniques, such as its flexibility, dependability, energy usage, and material efficiency. The subject of this article is the design and optimization of support for smart glasses based on a Vuzix model using nTopology and Fusion 360. The whole process of creating the support evolves from selecting the appropriate material (Onyx) and AM process to this type of component (Fused Filament Fabrication), to adjusting the CAD model of the glasses, using Fusion360 to create the initial design of the support, and nTopology to optimize the model. A static analysis simulation was also performed to validate the different models made.
增材制造(AM)技术在过去几十年的快速发展令人瞩目,预计这种发展还将继续。与传统生产技术相比,该技术具有灵活性、可靠性、能源使用和材料效率等优点。本文的主题是使用 nTopology 和 Fusion 360 根据 Vuzix 模型设计和优化智能眼镜的支架。创建支架的整个过程包括选择合适的材料(缟玛瑙)和该类型组件的 AM 工艺(熔融长丝制造),调整眼镜的 CAD 模型,使用 Fusion360 创建支架的初始设计,以及使用 nTopology 优化模型。此外,还进行了静态分析模拟,以验证所制作的不同模型。
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引用次数: 0
Numerical analysis of springback with experimental validation using UCB test 利用 UCB 测试对回弹进行数值分析和实验验证
Q4 Engineering Pub Date : 2024-01-30 DOI: 10.24840/2183-6493_010-001_001279
R. Lopes, Rui L. Amaral, Sara S. Miranda, Abel D. Santos, Pedro M. G. P. Moreira
Sheet metal forming is used to process a substantial percentage of automobile components, and the so-called springback behavior is of primary importance, in order to obtain the final part with an accurate geometry. This paper describes a springback research that employs three different materials often used in the automobile industry: DP780, HSLA420, and AA5754. The unconstrained cylindrical bending test (UCB test) will be utilized to assess the springback prediction for selected materials. In this study, experimental data is collected and numerical results are provided utilizing finite element techniques. Results show that UCB test is an adequate benchmark for analysis of springback behavior of sheet metallic materials and it has also been observed a close agreement between numerical results and experiments.
钣金成型用于加工相当比例的汽车部件,为了获得几何形状精确的最终部件,所谓的回弹行为至关重要。本文介绍了利用汽车行业常用的三种不同材料进行的回弹研究:DP780、HSLA420 和 AA5754。无约束圆柱弯曲试验(UCB 试验)将用于评估所选材料的回弹预测。本研究收集了实验数据,并利用有限元技术提供了数值结果。结果表明,UCB 试验是分析金属板材回弹行为的适当基准,而且还观察到数值结果与试验结果非常接近。
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引用次数: 0
Topology Optimization of a Robot Gripper with nTopology 利用 nTopology 对机器人抓手进行拓扑优化
Q4 Engineering Pub Date : 2024-01-30 DOI: 10.24840/2183-6493_010-001_002051
Beatriz Monteiro, Francisca Rocha, Jose M. Costa
The robot gripper works analogously to the human hand, being the end effector of a robotic mechanism and acting as a bridge between the robot and the environment. A topology optimized gripper can be fully functional while allowing weight reduction. In this paper, the topology optimization of a 316L-SS four-clamp gripper capable of withstanding a 2 N load was conducted using the nTopology software. Fusion360 static stress analysis showed a reduction of 43% in weight, keeping the safety factor above 3, and leading to a displacement of 0,0067 mm. Finally, the maximum induced stress was shown not to cause permanent deformation of the clamp since it was observed to be inferior to the yield strength of 316L-SS.
机器人抓手的作用类似于人类的手,是机器人机构的末端执行器,是机器人与环境之间的桥梁。经过拓扑优化的机械手既能充分发挥功能,又能减轻重量。本文使用 nTopology 软件对能够承受 2 N 负载的 316L-SS 四夹钳抓手进行了拓扑优化。Fusion360 静态应力分析表明,重量减轻了 43%,安全系数保持在 3 以上,位移为 0.0067 毫米。最后,由于最大诱导应力低于 316L-SS 的屈服强度,因此不会导致夹具永久变形。
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引用次数: 0
Durability of concrete with alkali-activated materials: a short literature review 使用碱活性材料的混凝土耐久性:简短文献综述
Q4 Engineering Pub Date : 2023-11-24 DOI: 10.24840/2183-6493_009-005_002195
Sebastião Ventura, Lino Maia
The alkali-activated materials are being understood as the best chance to replace the Portland cement to become the concrete industry greener in terms of CO2 emissions. However, these alternatives binders face challenges, among others related to durability. The present work regards to a short literature review about the durability in concrete produced with binders that are alkali-activated materials. The mechanisms of degradation are discussed, namely due to acid attack, capillarity, carbonation, permeability , porosity and steel corrosion. Comparison to the  concrete that used Portland cement as binder is frequently used.
碱活性材料被认为是取代波特兰水泥的最佳选择,从而使混凝土行业在二氧化碳排放方面更加环保。然而,这些替代粘合剂也面临着挑战,其中包括耐久性问题。本研究对使用碱活性材料粘结剂生产的混凝土的耐久性进行了简短的文献综述。其中讨论了降解机制,即酸侵蚀、毛细管化、碳化、渗透性、孔隙率和钢腐蚀。与经常使用波特兰水泥作为粘结剂的混凝土进行了比较。
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引用次数: 0
Phase transitions properties of N,N-dimethyl-4-nitroaniline N,N-二甲基-4-硝基苯胺的相变特性
Q4 Engineering Pub Date : 2023-11-24 DOI: 10.24840/2183-6493_009-005_002176
Bruno D. A. Pinheiro, A. R. Almeida, M. Monte
The present work reports an experimental study aiming to determine several thermodynamic properties of fusion and sublimation of the chromophore N,N-dimethyl-4-nitroaniline. This compound is commonly used as a reference in studies focused on the non-linear optical (NLO) characteristics of chromophores. Using the Knudsen mass-loss effusion method, the vapor pressures of the crystalline phase of N,N-dimethyl-4-nitroaniline were measured over the temperature range between 341.1 K and 363.5 K. The standard molar enthalpy, entropy, and Gibbs energy of sublimation were calculated from the experimental results, at 298.15 K, and compared with those given in the literature. Differential scanning calorimetry was used to determine the temperature and enthalpy of fusion, as well as the isobaric heat capacities of the crystalline compound under study. Additionally, the enthalpic and entropic contributions to N,N-dimethyl-4-nitroaniline’s volatility were assessed, and it was determined that is greatly conditioned by enthalpic factors.
本研究报告介绍了一项实验研究,旨在确定发色团 N,N-二甲基-4-硝基苯胺融合和升华的若干热力学性质。这种化合物通常被用作研究发色团非线性光学(NLO)特性的参照物。利用克努森质量损失流出法,在 341.1 K 至 363.5 K 的温度范围内测量了 N,N-二甲基-4-硝基苯胺结晶相的蒸气压。根据实验结果计算了 298.15 K 时的标准摩尔焓、熵和升华吉布斯能,并与文献中给出的结果进行了比较。差示扫描量热法用于测定所研究的晶体化合物的温度、熔焓和等压热容。此外,还评估了 N,N-二甲基-4-硝基苯胺挥发性的焓贡献和熵贡献,并确定焓因素在很大程度上决定了其挥发性。
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引用次数: 0
Battery Energy Storage System Optimal Sizing in a Battery Electric Vehicle Fast Charging Infrastructure 电池电动汽车快速充电基础设施中电池储能系统的优化选型
Q4 Engineering Pub Date : 2023-11-24 DOI: 10.24840/2183-6493_009-005_001937
Pedro Félix
The growing number of battery electric vehicles (BEV) and plug-in hybrid electric vehicles (PHEV) brings the need of more fast charging stations across cities and highway stops. This charging stations toned to be connected to the electrical grid via existent facilities, causing constraints such as power availability. This study brings an approach for the planning and operation of such energy hubs by coping with this challenge by deploying a Battery-based Energy Storage System (BESS). With the BESS integration, it is expected to minimize utilization and overall energy costs, preventing infrastructure upgrades, and enhancing the integration of renewable energy resources. This approach sizes a stationary energy storage system with lithium-ion technology batteries through a co-optimization of the planning and operation stages, integrated in an electrical installation that will implement fast charging stations. This sizing is a result of an optimization based on the interior point algorithm, where the objective is to minimize the costs of maintenance, operation, and installation of a BESS, while properly modelling the different resources such as the BESS, the charging station and EV charging and PV generation.
随着电池电动汽车(BEV)和插电式混合动力电动汽车(PHEV)数量的不断增加,城市和高速公路上需要更多的快速充电站。这些充电站需要通过现有设施与电网连接,从而造成电力供应等方面的限制。 本研究通过部署电池储能系统(BESS)来应对这一挑战,为此类能源枢纽的规划和运营提供了一种方法。通过 BESS 集成,可望最大限度地降低利用率和总体能源成本,防止基础设施升级,并加强可再生能源资源的集成。 这种方法通过对规划和运行阶段的共同优化,确定了采用锂离子技术电池的固定储能系统的规模,并将其集成到一个将实施快速充电站的电气装置中。该方法是基于内点算法进行优化的结果,其目标是最大限度地降低 BESS 的维护、运行和安装成本,同时对 BESS、充电站、电动汽车充电和光伏发电等不同资源进行适当建模。
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引用次数: 0
Optimisation Techniques for Compact CNN on Embedded Systems for Gesture Recognition 嵌入式系统上用于手势识别的紧凑型 CNN 的优化技术
Q4 Engineering Pub Date : 2023-11-24 DOI: 10.24840/2183-6493_009-005_002156
João Carlos Bittencourt, Walber Conceição de Jesus Rocha
Embedded applications are increasingly prevalent in various domains, from consumer electronics to industrial automation and smart cities. With the advances in integrated circuit manufacturing technologies, low-power chips can now execute complex algorithms, including machine learning models. However, the computational constraints of embedded devices require compact and efficient neural network models, as well as software frameworks and optimisation techniques tailored to their hardware resources. This study investigates the implementation of Convolutional Neural Network (CNN) models for gesture recognition on an STM32F4 microcontroller, by exploring the impact of freezing layers, fine-tuning and pruning techniques on pre-trained CNN models. The results demonstrate that fine-tuning and freezing layers improve accuracy by up to 18%. Additionally, freezing layers by 10% and 20% improved the accuracy. Finally, we demonstrate that pruning reduced the model size by 90%, enabling it to perform gesture recognition on small devices. These findings are significant for developing software and optimisation techniques for embedded systems, particularly in the context of the Internet of Things.
从消费电子产品到工业自动化和智能城市,嵌入式应用在各个领域日益普及。随着集成电路制造技术的进步,低功耗芯片现在可以执行复杂的算法,包括机器学习模型。然而,由于嵌入式设备的计算限制,需要紧凑高效的神经网络模型,以及适合其硬件资源的软件框架和优化技术。本研究通过探索冻结层、微调和剪枝技术对预训练 CNN 模型的影响,研究了在 STM32F4 微控制器上实施用于手势识别的卷积神经网络 (CNN) 模型。结果表明,微调和冻结层可将准确率提高 18%。此外,冻结层的准确率分别提高了 10%和 20%。最后,我们证明剪枝将模型大小缩小了 90%,使其能够在小型设备上进行手势识别。这些发现对于开发嵌入式系统的软件和优化技术具有重要意义,尤其是在物联网背景下。
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引用次数: 0
StressOnCampus: An App for Stress Management 校园压力压力管理应用程序
Q4 Engineering Pub Date : 2023-11-24 DOI: 10.24840/2183-6493_009-005_001965
Manuel Pambasange Jorge
The goal of this study was to develop a mobile app that would be used as a self-help and stress-reduction tool for university students. The StressonCampus app adopted a hybrid questionnaire based on the DASS-21 and Kessler PT models, which identifies the level of stress and, likewise, provides suggestions for relaxation exercises. The improved version of the app includes a chatbot or conversation agent that allows a dialogue with the student to detect the student's stress situation and present a relaxation recommendation based on it.
本研究的目标是开发一款手机应用程序,作为大学生的自助和减压工具。StressonCampus 应用程序采用了基于 DASS-21 和 Kessler PT 模型的混合问卷,可识别压力水平,并提供放松练习建议。该应用程序的改进版包括一个聊天机器人或对话代理,可以与学生对话,检测学生的压力状况,并据此提出放松建议。
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引用次数: 0
An improved deep learning approach for speech enhancement 用于语音增强的改进型深度学习方法
Q4 Engineering Pub Date : 2023-11-24 DOI: 10.24840/2183-6493_009-005_001531
Malek Miled, M. B. Ben Messaoud
Single-channel speech enhancement refers to the task of improving the quality and intelligibility of a speech signal in a noisy environment. Time-domain and time-frequency-domain methods are two main categories of approaches for speech enhancement. In this paper, we propose a approach based on a cross-domain framework. This framework utilizes our knowledge of the spectrogram and overcomes some of the limitations faced by time-frequency domain methods. First, we apply the intrinsic mode functions of the empirical mode decomposition and an improved version of principal component analysis. Then, we design a cross-domain learning framework to determine the correlations along the frequency and time axes. At low SNR = -5 dB, the effectiveness of our proposed approach is demonstrated by its performance based on objective and subjective measures. With average scores of -0.49, 2.47, 2.44, and 0.68 for SegSNR, PESQ, Cov, and STOI, respectively. The results highlight the success of our approach in addressing low SNR conditions.
单通道语音增强是指在噪声环境中提高语音信号的质量和可懂度。时域和时频域方法是语音增强的两大类方法。在本文中,我们提出了一种基于跨域框架的方法。该框架利用了我们对频谱图的了解,克服了时频域方法所面临的一些限制。首先,我们应用了经验模式分解的固有模式函数和改进版的主成分分析。然后,我们设计了一个跨域学习框架,以确定沿频率轴和时间轴的相关性。在 SNR = -5 dB 的低信噪比条件下,我们提出的方法的有效性通过其基于客观和主观测量的性能得到了证明。SegSNR、PESQ、Cov 和 STOI 的平均得分分别为 -0.49、2.47、2.44 和 0.68。这些结果凸显了我们的方法在解决低信噪比条件下的成功。
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引用次数: 0
Impact of different parameters in the drilling of CFRPs with nanocrystalline diamond coated tools 使用纳米晶金刚石涂层工具钻孔加工 CFRP 时不同参数的影响
Q4 Engineering Pub Date : 2023-11-24 DOI: 10.24840/2183-6493_009-005_002152
Rúben Costa
The drilling process of composite materials, such as the carbon fiber reinforced polymer (CFRP), constitutes a challenging task due to their inhomogeneous and anisotropic characteristics, besides the highly abrasive wear behaviour of their fibers. Accordingly, machining parameters should be carefully studied to optimize the process, leading to a better surface quality (avoiding defects in the CFRP) and to a lower wear behaviour of the cutting tool. This study proposed to test the drilling of a CFRP with a thermoplastic matrix using two different tool geometries (conventional and double-point angle drill) and varying two parameters, feed (f) and spindle speed (n), each one with two levels. It was concluded that the double-point angle drill with lower spindle speeds generates lower thrust force and torque values, as well as better hole quality. Higher spindle speeds combined with lower feeds result in fractured chips, in contrast with continuous chips for the other combinations.
由于碳纤维增强聚合物(CFRP)等复合材料的不均匀性和各向异性特征,以及其纤维的高磨损性,复合材料的钻孔加工是一项具有挑战性的任务。因此,应仔细研究加工参数以优化加工过程,从而获得更好的表面质量(避免 CFRP 中的缺陷)和更低的切削刀具磨损。本研究建议使用两种不同的刀具几何形状(传统钻头和双点角钻头),并改变进给量(f)和主轴转速(n)这两个参数(每个参数都有两个等级),对带有热塑性基体的 CFRP 进行钻孔测试。结果表明,主轴转速较低的双点角钻产生的推力和扭矩值较低,孔的质量也较好。主轴转速越高,进给量越小,切屑越碎,而其他组合则切屑连续。
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引用次数: 0
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U.Porto Journal of Engineering
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