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Rotor crack moment of inertia 转子裂纹惯性矩
Pub Date : 2022-12-30 DOI: 10.35429/ejdrc.2022.15.8.11.18
Homero Jiménez-Rabiela, B. Vázquez-González, José Luis Ramírez-Cruz, Joshua Suraj ILIZALITURRI-BADILLO
The objective of this article is to evaluate the change in the moment of inertia of a rotor with chordal diagonal triangular crack, in all cross sections from the beginning to the end of it. The triangle used to generate the crack is isosceles and its inclination with respect to the transversal will be constant and equal to one sixth of π. The quotient of the width between the depth of the crack, from its birth and during its growth, is invariant and equal to 0.2. The ratio of the depth of the crack between the radius will vary from 0.4 to 0.6. The moment of inertia of the resulting cross-sectional area is calculated from the moments of inertia of component areas. Since in the antecedents there is information about cracks: transverse chordal rectangular, diagonal chordal rectangular, transverse chordal triangular; the present work expands the knowledge of the moment of inertia of the cracks to those that are triangular diagonal chordal; increasing the evidence for the subsequent early detection of cracks in rotors.
本文的目的是评估在惯量的变化与弦对角三角形裂纹转子,在所有截面从开始到结束它。用来产生裂缝的三角形是等腰的,它相对于截线的倾角是恒定的,等于π的六分之一。裂缝深度之间的宽度之商,从其产生到其扩展,是不变的,等于0.2。裂纹深度与半径之比在0.4 ~ 0.6之间变化。所得横截面积的转动惯量由各构件面积的转动惯量计算得到。因为在先行词中有关于裂缝的信息:横弦矩形,斜弦矩形,横弦三角形;目前的工作将裂缝的惯性矩的知识扩展到那些三角形对角弦的裂缝;增加了后续早期检测转子裂纹的证据。
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引用次数: 0
Analysis of the use of aerogel as a thermal insulator in refrigerated containers for storing blood using a photovoltaic system 利用光电系统分析气凝胶作为保温层用于储存血液的冷藏容器
Pub Date : 2022-12-30 DOI: 10.35429/ejdrc.2022.15.8.19.24
J. Valle-Hernandez, Meily Yoselin Manzano-Muñoz, Raúl ROMÁN-AGUILAR, W. M. DELGADILLO-AVILA
At the beginning of the present, a comparative analysis was carried out between polyurethane as a traditional thermal insulator and aerogel as an insulating material that has excellent thermal properties; the analysis is carried out through a container for storing blood, in which calculations of thermal loads were performed. In addition, a photovoltaic system is proposed to supply energy to the container. As a result, the energy consumption of the system is obtained, using the proposed insulators, resulting in lower consumption when aerogel is used.
本文首先对传统的保温材料聚氨酯与具有优异热性能的保温材料气凝胶进行了对比分析;分析是通过一个储存血液的容器进行的,在这个容器中进行热负荷的计算。此外,还提出了一个光伏系统为集装箱提供能源。结果,系统的能量消耗得到,使用所提出的绝缘体,导致较低的消耗时,气凝胶的使用。
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引用次数: 0
Design and 3D printing of the Robot, articulated with 6 degrees of freedom with educational applications 机器人的设计和3D打印,具有6个自由度铰接与教育应用
Pub Date : 2022-12-30 DOI: 10.35429/ejdrc.2022.15.8.25.32
Raziel SÁNCHEZ-GUARNEROS, H. P. Martínez-Hernández, R. Cortés-Maldonado, J. Bedolla-Hernández
This work presents the complete manufacturing of an articulated robot of 6 degrees of freedom, with educational applications. With the purpose of increasing the motivation of the students in the significant learning of the subject of robotics. The methodology was developed from the design of each link of the robot in Solid Word, to later print it in 3D, followed by the mechanical and electrical/electronic implementation. In accordance with this, we worked with the mathematical modeling through the RoboAnalyzer software based on the Denavit Hartenberg parameters. To control the robot, so that the student has options to be able to control the robot, a control card was developed which is compatible with: Raspberry, Arduino and PIC microcontroller. In addition to the above possibilities of programming, another programming option is provided to only manipulate the robot with an application on a laptop, tablet or cell phone, these applications are free; it refers to Universal Gcode Sender and Bluetooth Electronics that simulate a teach pendant. With the development of this robotic equipment, it is intended to form integral students in their technological assets.
这项工作提出了一个完整的制造铰接式机器人的6个自由度,与教育应用。目的是提高学生对机器人学科的学习动机。该方法是从在Solid Word中设计机器人的每个环节,到后来在3D中打印它,然后是机械和电气/电子实施。据此,我们通过RoboAnalyzer软件对Denavit Hartenberg参数进行了数学建模。为了控制机器人,让学生有选择能够控制机器人,开发了一个控制卡,它兼容:树莓,Arduino和PIC微控制器。除了上述编程的可能性,还提供了另一种编程选项,仅通过笔记本电脑,平板电脑或手机上的应用程序操作机器人,这些应用程序是免费的;它指的是通用Gcode发送器和蓝牙电子设备,模拟一个教学挂件。随着这种机器人设备的发展,它的目的是形成完整的学生在他们的技术资产。
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引用次数: 0
Development of an artificial neural network for the prediction of the thermodynamic property enthalpy in the NH3-H2O mixture 用于NH3-H2O混合物热力学性质焓预测的人工神经网络的建立
Pub Date : 2022-12-30 DOI: 10.35429/ejdrc.2022.15.8.1.10
Iván Vera-Romero, L. F. PEREZ-AVIÑA, V. M. MÉNDEZ-ÁBREGO, J. Martinez-Reyes
There are many different methodologies for calculating the enthalpy thermodynamic property in the ammonia-water mixture, which is mainly used in the analysis of absorption refrigeration systems and power, so its prediction becomes essential not only for theoretical evaluations, also for the design of industrial equipment. In this work an alternative methodology, an artificial neural network (ARN) is approached. Two neural networks were designed: ARN A and ARN B. ARN A has three main input variables: Pressure (P), Temperature (T) and Ammonia Concentration in the mixture (x), to obtain the output variable: enthalpy. ARN B has as a particular case that the variable Temperature (T) is replaced by the phase in which the mixture is found (q); both networks were compared with experimental data reported in open literature and with the EESTM software. The two networks are capable of predicting the enthalpy of the Ammonia-Water mixture, ARN A with an acceptable prediction range between 100 kPa and 11,000 kPa, and ARN B from 5,000 kPa to 10,000 kPa.
氨-水混合物焓热力学性质的计算方法有很多种,主要用于吸收式制冷系统和功率的分析,因此它的预测不仅是理论评价的必要条件,也是工业设备设计的必要条件。在这项工作中,采用了一种替代方法,即人工神经网络(ARN)。设计了两个神经网络:ARN A和ARN b。ARN A有三个主要的输入变量:压力(P)、温度(T)和混合物中的氨浓度(x),从而得到输出变量:焓。在特殊情况下,ARN B将可变温度(T)替换为混合物所在的相(q);将两个网络与公开文献报道的实验数据和EESTM软件进行比较。两个网络均能预测氨-水混合物的焓,ARN A的可接受预测范围为100 kPa ~ 11000 kPa, ARN B的可接受预测范围为5000 kPa ~ 10000 kPa。
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引用次数: 0
Application of Strategies on NSGAII for Searching of Optimal Solutions to the Car Sequencing Problem NSGAII策略在汽车排序问题最优解搜索中的应用
Pub Date : 2022-06-30 DOI: 10.35429/ejdrc.2022.14.8.1.13
Alonso Eric Guzmán-Sandoval, H. J. Puga-Soberanes, J. Soria-Alcaraz, J. M. Carpio-Valadez
One of the main conflicts in a car production plant is to deliver the orders received daily in a timely manner, which are not uniform and involve a large amount of human and material resources. The car sequencing problem is a NP-Hard problem that consists of finding the sequence of cars that minimizes the number of constraint violations in an assembly line. The problem can be approached from a mono-objective or multi-objective point of view. The objective of this paper is to treat a case study of this problem, presented at ROADEF 2005, from the multi-objective Pareto approach, taking the NSGAII algorithm as a basis for a proposal scheme and verifying its feasibility. A systematic and general improvement of the quality of the final Pareto fronts is verified, and the results of the implementation of a strategy scheme that consists of the initialization of the population guided by local search, and specialized crossover and mutation operators are reported. These results allow us to give continuity to the generation of an optimization proposal for the vehicle sequencing problem.
汽车生产工厂的主要矛盾之一是如何将每天收到的订单及时交付,这些订单不统一,涉及大量的人力和物力。汽车排序问题是一个NP-Hard问题,它包括找到使装配线中违反约束的次数最少的汽车序列。这个问题可以从单目标或多目标的角度来解决。本文的目的是从多目标帕累托方法对该问题进行案例研究,以NSGAII算法作为提案方案的基础并验证其可行性。验证了最终Pareto前沿质量的系统性和普遍性改进,并报告了由局部搜索引导的种群初始化和专门的交叉和突变算子组成的策略方案的实施结果。这些结果使我们能够为车辆排序问题的优化方案的生成提供连续性。
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引用次数: 0
Methodology for detection of suicidal ideation in texts from the analysis of suicide notes 从遗书分析中发现文本中自杀意念的方法
Pub Date : 2022-06-30 DOI: 10.35429/ejdrc.2022.14.8.14.18
Christian Padilla-Navarro, Rebeca Aguilar-Durón, Gabriel Aguilera-González, J. I. Yáñez-Vargas
Suicide is today one of the leading causes of death in the world. People at risk of suicide commonly leave messages around them, and that often includes social media. Therefore, early detection of suicidal risk is a fundamental prevention factor. At present, the search for suicide risk based on text analysis does not consider fundamental factors such as the analysis based on suicide notes. This research proposes a new text analysis for the detection of suicidal risk based on the study of suicide notes.
自杀是当今世界上最主要的死亡原因之一。有自杀风险的人通常会在周围留下信息,这通常包括社交媒体。因此,早期发现自杀风险是一个根本的预防因素。目前,基于文本分析的自杀风险研究没有考虑到基于遗书的分析等根本因素。本研究在研究遗书的基础上,提出了一种新的自杀风险检测的文本分析方法。
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引用次数: 0
Simulation of a point-to-point wireless communication with XBEE technology for monitoring environmental variables 模拟用XBEE技术监测环境变量的点对点无线通信
Pub Date : 2022-06-30 DOI: 10.35429/ejdrc.2022.14.8.19.30
Víctor Perez-García, Joel Quintanilla-Domingez, Israel Yañez-Vargas, José Aguilera-González
This article describes the simulation of a unidirectional point-to-point radio frequency (RF) Wireless communication between two electronic circuits with XBEE technology, using the electronic design software PROTEUS V8.8. In the same worksheet in the ISIS graphical interface, the two electronic circuits were implemented, one was called the transmitter circuit and the other the receiver circuit. A Microchip® PIC16F877A microcontroller and an XBEE module are the main devices of each of the electronic circuits, to establish wireless communication by RF. The PIC microcontroller of the transmitter circuit was used as a DAQ data acquisition device, to measure the temperature of two analog sensors, the LM35 and the TMP36, and three digital sensors DS1621. The temperature data was sent from the transmitter circuit to the receiver circuit in character strings, using asynchronous serial communication. A programming algorithm was implemented for the PIC microcontroller of the receiver circuit, to receive and identify the temperature data. The development of this simulation is the basis to implement a wireless sensor network (WSN) with XBEE technology in the future.
本文介绍了利用电子设计软件PROTEUS V8.8,利用XBEE技术模拟两个电子电路之间的单向点对点射频(RF)无线通信。在ISIS图形界面的同一工作表中,实现了两个电子电路,一个称为发射电路,另一个称为接收电路。Microchip®PIC16F877A微控制器和XBEE模块是每个电子电路的主要器件,通过射频建立无线通信。发射电路的PIC单片机作为DAQ数据采集装置,测量两个模拟传感器LM35和TMP36以及三个数字传感器DS1621的温度。温度数据以字符串形式从发送电路发送到接收电路,采用异步串行通信。在接收电路的PIC单片机上实现了一种编程算法,用于接收和识别温度数据。该仿真的开发为将来利用XBEE技术实现无线传感器网络(WSN)奠定了基础。
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引用次数: 0
PID Instrumented Control Elements Estimation Based on Probabilistic Methods 基于概率方法的PID仪表控制元件估计
Pub Date : 2022-06-30 DOI: 10.35429/ejdrc.2022.14.8.31.34
Mariel Fernanda Garcia-Herrera, E. Pérez-Careta
The applications of a controller, such as a control valve, require robust control schemes for all the variables that exist. Have a functional prototype of the automatic systems that operate in the Ingeniero Antonio M. Amor Refinery, to facilitate the movement of the final elements and obtain greater control of the events that occur in the process plants. The behavior analysis for a control valve was performed using probabilistic methods, using the MATLAB Toolbox. In this document it can be seen that a neural network can be trained to provide the coefficients of a PID controller, where the response is close to that of an analog PID controller with a known set point.
控制器的应用,如控制阀,需要对所有存在的变量进行鲁棒控制。拥有在Ingeniero Antonio M. Amor炼油厂运行的自动系统的功能原型,以促进最终元素的移动,并获得对过程工厂中发生的事件的更好控制。利用MATLAB工具箱,采用概率方法对某控制阀进行了性能分析。在本文档中可以看到,可以训练神经网络来提供PID控制器的系数,其中响应接近具有已知设定点的模拟PID控制器。
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引用次数: 0
Statistical analysis and characterization of Landsat 8 satellite images of forest wildfires regions 森林野火区域Landsat 8卫星图像的统计分析与特征
Pub Date : 2021-06-30 DOI: 10.35429/ejdrc.2021.12.7.19.28
Sandra Paola Hernández-López, J. I. Yáñez-Vargas, Andrea González-Ramírez, D. Torres-Román
The increase in the increase in wildfires throughout the world is largely due to increases in temperature and even to an increase in the carelessness of the population in leaving a large amount of the garbage in forests. Using Python and Matlab programs were as working medium. We performed the preprocessing on multispectral images obtained by the Landsat 8 satellite with and without wildfires, which consists of three steps: alignment, characterization and normalization, with the intention of standardization the images. From obtaining the spectral signatures of wildfires and metallic structures, boxes and whiskers diagrams, Shannon entropy and mutual information from the images, there are similar behavior in bands 6, 7, 8, 10 and 11, with more relevant information, taking into account that each image is formed by 11 bands, and in bands 1, 2, 3, 4, 5, 8 and 9 there is less information, SVD decomposition allows to have the best k-rank approximation to the original data matrix. The purpose of this analysis is to reduce the computational complexity.
世界范围内野火的增加很大程度上是由于温度的升高,甚至是由于人们在森林中留下大量垃圾的粗心增加。采用Python和Matlab编程作为工作介质。对Landsat 8卫星获得的多光谱图像进行预处理,包括对准、表征和归一化三个步骤,目的是对图像进行标准化处理。从图像中获取野火和金属结构的光谱特征、盒状图和须状图、Shannon熵和互信息来看,6、7、8、10和11波段具有相似的行为,相关信息更多,考虑到每张图像由11个波段组成,而1、2、3、4、5、8和9波段信息较少,SVD分解允许对原始数据矩阵有最好的k-rank逼近。这种分析的目的是为了降低计算复杂度。
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引用次数: 0
Neural network for crop rotation and soil analysis in a Greenhouse 温室作物轮作与土壤分析的神经网络
Pub Date : 2021-06-30 DOI: 10.35429/ejdrc.2020.12.7.29.41
Eva Rafael-Pérez, Yeimi Yanet Montero-Cortés, Alan Eduardo Ruiz-Ramírez, Maricela Morales-Hernández
Currently, Artificial intelligence (AI) is a very important area, the way in which it has revolutionized has allowed it to be an essential part of technological evolution in different sectors of society such as agriculture, it is a fundamental activity in the development of our country, and one of the developing areas is implementation of greenhouse crop. This article describes the use of artificial intelligence for a greenhouse through an Artificial Neural Network (ANN) of the multilayer perceptron type using the BackPropagation algorithm. The main aim is obtain the most optimal type of crop to be sown by means of the crop rotation, which, supported by a data acquisition device through sensors, obtains the values of temperature and humidity of the environment and soil pH, with those data the ANN makes the soil analysis. Through the interfaces of the data analysis module and the measurement module, the data collection process, the calculation and the results produced by the artificial neural network are shown. For this project, the Prototype model was used using the Java programming language.
目前,人工智能(AI)是一个非常重要的领域,其革命性的方式使其成为农业等社会不同部门技术发展的重要组成部分,它是我国发展的一项基本活动,其中一个发展领域是温室作物的实施。本文描述了通过使用反向传播算法的多层感知器类型的人工神经网络(ANN)在温室中使用人工智能。人工神经网络的主要目的是通过轮作获得最优的播种作物类型,通过传感器支持数据采集装置,获取环境温湿度和土壤pH值,利用这些数据进行土壤分析。通过数据分析模块和测量模块的接口,展示了人工神经网络的数据采集过程、计算过程和产生的结果。对于这个项目,使用Java编程语言使用Prototype模型。
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引用次数: 0
期刊
ECORFAN Journal-Democratic Republic of Congo
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