At the Technological Institute of Los Mochis, there is currently no furnace for heat treatments, so students of the careers of Industrial Engineering, Electromechanical Engineering and Mechatronics Engineering do not have the necessary tools to carry out practices in the subjects of Engineering of Materials and Manufacturing Processes, which is of utmost importance for them to understand some of their properties. The knowledge and mastery of heat treatment processes in Engineering careers is fundamental, because it is precisely at this stage of the academic process that the set of heating and cooling operations are known, under controlled conditions of temperature, dwell time, speed, pressure of metals or alloys in solid state.........

Keywords: Temperature control, heat transfer, heat exchanger, didactic oven.

[1] E.A., Auces and J.A., Rodríguez. "Calculation of energy needs in a stress relief furnace", Science and Engineering Journal, Vol. 24 No. 3, University of Monterrey. 2003.
[2] J. Apraiz Barreiro, "Tratamientos térmicas de los aceros", Madrid, CIE Dossat, 10th ed., 1961.
[3] N. M. Rendtorff Birrer et al, "Thermal Shock of Refractory Materials: Behavior, Evaluation, and Testing," Minerals and Ceramics (CETMIC). 2007.
[4] www.aislamientosyrefractarios.com
[5] F. W. Smith & Hashemi Javad, "Fundamentals of Materials Science and Engineering", USA: McGraw Hill Publishing Group, 3rd Edition, 2000.

Background:Plastic materials, currently there are many types of plastics that have been researched and applied in the details and components of machines and equipment from households to companies and factories such as computers, washing machines, cars, air conditioners, etc. The problem for designers and manufacturers of plastic parts that make up machines is to choose the right plastic material for each detail with specific uses in each type of machine or equipment. Designers and manufacturers can rely on the experience passed down from previous experts or from analysis and selection on theoretical documents. So this article provides some information and theoretical data as the basis for choosing the right material for plastic parts......

Keywords: Thermoplastics; Thermosetting Plastics; Plastic Properties; Selection of Plastic Materials.

[1]. S.S. Storen et al. Localized Necking in Thin Sheets. J. Mech. Phys. Solids
[2]. B. Loret. On the Effects of Plastic Rotation in the Finite Deformation of Anisotropic Elastoplastic Materials Mech. Mater.
[3]. D.J. Bamman. An Internal Variable Model of Viscoplasticity.
[4]. Y.F. Dafalia. The Plastic Spin Concept and a Simple Illustration of Its Role in Finite Plastic Transformations Mech. Mater.
[5]. E.T. Onat. Flow of Kinematically Hardening Rigid-Plastic Materials

This terminal work introduces an artificial intelligence system for automatic identification of electric bass notes. Using digital signal processing and AI techniques, the system analyzes audio files in WAV format and recognizes musical notes. It's especially useful for music beginners, facilitating note identification, although it's limited to bass melodies in standard pitch (440 Hz). The system generates a PDF file with the detected notes, offering an effective tool for musical transcription and learning the electric bass.

Keywords: Neural Networks, Machine Learning, Automatic Generation, Musical Note Detection, Short Time Fourier Transform, Chromaticity.

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This document explores the aerothermal optimization of leading-edge geometries for hypersonic vehicles, which operate at speeds exceeding Mach 5 and encounter extreme aerodynamic and thermal challenges. The design of the leading edge is critical in managing the intense heat flux and aerodynamic forces that influence the vehicle's performance and structural integrity. Hypersonic vehicles face major challenges, including high levels of aerodynamic heating, material degradation under extreme conditions, and complex flow dynamics at these speeds.......

[1]. Liu, C., & Cao, W. (2017). Study of predicting aerodynamic heating for hypersonic boundary layer flow over a flat plate. International Journal of Heat and Mass Transfer, 111, 1079–1086. https://doi.org/10.1016/j.ijheatmasstransfer.2017.04.001
[2]. Meng, Y.-S., Wang, Z.-W., Shen, Y., Huang, W., Niu, Y.-B., & Yan, L. (2022). Drag and heat reduction mechanism induced by jet interaction over a reusable launch vehicle in hypersonic flows. Acta Astronautica, 198, 502–520. https://doi.org/10.1016/j.actaastro.2022.06.032
[3]. Zhu, W., Gu, D., Si, W., Chen, S., Zhu, Y., & Lee, C. (2022). Reduced aerodynamic heating in a hypersonic boundary layer by a wavy wall. Science Bulletin, 67(10), 988– 990. https://doi.org/10.1016/j.scib.2022.03.006
[4]. Gulli, S., Maddalena, L., & Hosder, S. (2013). Variable transpiration cooling for the thermal management of reusable hypersonic vehicles. Aerospace Science and Technology, 29(1), 434–444. https://doi.org/10.1016/j.ast.2013.05.002
[5]. Gnoffo, P. A., Gupta, R. N., & Shinn, J. L. (1989). Conservation equations and physical models for hypersonic air flows in chemical and thermal nonequilibrium. NASA Technical Paper 2867.

Air quality index (AQI) is a key metric for reporting air quality. AQI of most urban cities has increased due to fossil fuels, urbanization, industrialization, and vehicular pollution. Fine particulate matter and harmful gases significantly affect the quality of air, which is very dangerous for human beings, animals, and all other living organisms. AQI analysis helps government and official bodies take proper measures to curb air pollution. AQI can be derived using various techniques and mathematical models. This paper aims to propose multiple machine learning models and perform a comparative analysis to identify the most effective machine learning model......

Keywords: Air Quality Index, Machine Learning, New Delhi Pollution, Random Forest Regressor, Root Mean Square Error

[1] Prediction of Air Quality Index Using Machine LearningTechniques: A Comparative AnalysisN. Srinivasa Gupta , 1 Yashvi Mohta, 2 Khyati Heda, 2 Raahil Armaan,2 B. Valarmathi, 2and G. Arulkumaran
[2] H. Liu, Q. Li, D. Yu, and Y. Gu, "Air quality index and air pollutant concentration prediction based on machine learning algorithms," Applied Sciences, vol. 9, p. 4069, 2019.
[3] M. Castelli, F. M. Clemente, A. Popovic, S. Silva, and L. Vanneschi, "A machine learning approach to predict air quality in California," Complexity, vol. 2020, Article ID 8049504, 23 pages, 2020.
[4] G. Mani, J. K. Viswanadhapalli, and A. A. Stonie, "Prediction and forecasting of air quality index in Chennai using regression and ARIMA time series models," Journal of Engineering Research, vol. 9, 2021.
[5] S. V. Kottur and S. S. Mantha, "An integrated model using Artificial Neural Network (ANN) and Kriging for forecasting air pollutants using meteorological data," Int. J. Adv. Res. Comput. Commun. Eng., vol. 4, pp. 146–152, 2015.

This literature paper briefly overviews major topics concerning attitude control systems in satellites. This paper introduces these topics by highlighting the significance of these mechanisms, before elaborating on the physics principles behind attitude dynamics and the need for recovery strategies through control systems. This paper, produced after analyzing scholarly articles and incorporating first-hand research of professionals working in this stream, underscores the need for these robust control systems for precise satellite pointing and stabilization in our daily lives to an audience interested in knowing the basics behind this phenomenon. In conclusion, this review demonstrates the vital role of attitude control systems in satellite missions and suggests avenues for future research to enhance satellite performance and mission success.

[1]. Attitude and Orbit Control System - https://gracefo.jpl.nasa.gov/attitude-and-orbit-control-system/#:~:text=The%20satellites'%20%E2%80%9 Cattitude%2C%E2%80%9D,spacecraft%20rates%20and%20orbital%20position.
[2]. THE ATTITUDE CONTROL AND DETERMINATION SYSTEMS OF THE SAS-A SATELLITE - John Hopkins University applied physics laboratory Johns Hopkins University Applied Physics Laboratory https://secwww.jhuapl.edu › APL-10-05-Mobley
[3]. Sun Sensors - https://solar-mems.com/newspace/how-sun-sensors-work/#:~:text=Sun%20sensors%20are%20navigation
%20instruments,solar%20panels%20and%20other%20functions. Articles: Journal of Guidance, Control, and Dynamics or Acta Astronautica
[4]. Spacecraft Dynamics and Control: A Practical Engineering Approach by Marcel J. Sidi- https://books.google.com/books/about/Spacecraft_Dynamics_and_Control.html?id=QBlcQgAACAAJ Spacecraft Attitude Determination and Control by James R. Wertz https://www.springer.com/gp/book/9789027727699 Journal of Guidance, Control, and Dynamics (for research articles on attitude control) https://arc.aiaa.org/journal/jgcd
[5]. Feedback Control of Dynamic Systems by Gene F. Franklin, J. Da Powell, and Abbas Emami-Naeini https://www.pearson.com/store/p/feedback-control-of-dynamic-systems/P100000619737