1,720,964 research outputs found
Gestión de mantenimiento vehicular
-- Importancia del mantenimiento en los sistemas del vehículo
-- Sistema de transmisión
-- Generador eléctric
Equipos de medición y calibración mecánica zumba (EMCM-Zumba)
-- Gestión de mantenimiento
-- El sonómetro
-- Equipos de diagnóstico, medición, herramienta
Optimization of the manufacturing process by 3D printing of the glass lift handle in Chevrolet Aveo Family
The objective of this research is to provide an alternative solution through 3D printing of the handle of the glass elevator of the Chevrolet Aveo vehicle, which was simulated and evaluated in Inspire software where its mechanical properties were verified prior to printing. The 3D printing process was performed, and the weights of the original and optimized handle were compared with Inspire and Simsolid software, respectively. In addition, the displacements, safety factor, and deformation analysis of the original and optimized handle were compared. The study was based on the multi-criteria and COPRAS methods, to compare materials selected as the best alternatives to replace the original (PLA, PC and PVC). The results showed that the most suitable material to replace the original is PLA because it has excellent mechanical and physical characteristics. Through Inspire it was possible to change the original design of the handle, obtaining an optimized proposal with a 2.7% lower weight, in addition, the 3D printing time is reduced by 8.3% compared to the original model. With the present study it can be mentioned that the PLA alternative material is ideal to replace the original ABC-PC, and the benefits of the analysis contribute to have an alternative to industrial production in the world of vehicles
Alternative Material for the plastic injection molding of the Kia Rio\u27s ventilation grille
This research was based on the selection of an alternative material for the manufacture by plastic injection of the Kia Rio\u27s ventilation grille. This accessory has a high acquisition cost because the vast majority are imported elements. Therefore, a composite material was sought that can replace the original, which was found in a local environment and is applicable in the plastic injection manufacturing process. The COPRAS multi-criteria method was used to choose the ideal material to replace the original, which was ABS-PC, with PP-20% Bamboo fiber. Finally, once the ideal candidate has been obtained, the next step was to carry out simulations of the plastic injection process with computational fluid dynamics (CFD) analysis software for plastics; these simulations were carried out for the original material. The results obtained by the multicriteria selection criterion showed that PP-20% bamboo fiber is the ideal candidate to replace the original. This result was corroborated by the CFD simulation that demonstrated that it has the best characteristics to be applied in the plastic injection process
Rediseño del sistema de inyección de agua e implementación de un plan de mantenimiento para la central de hormigonado de la planta prefabricados de la Empresa Pública Cementera del Ecuador.
El rediseño e implementación de un plan de mantenimiento para el sistema de inyección de agua de la central de hormigonado de la Planta de Prefabricados de la Empresa Pública Cementera del Ecuador (EPCE). Estará basado en la implementación de un sensor de caudal online, el mismo que ayudará a tener un mejor control del caudal (l/min) en la producción de hormigón. Todo equipo debe estar en constante mantenimiento, brindando una alta confiabilidad y eficiencia en la planta hormigonera, el mantenimiento es un proceso donde interactúa hombre y máquina para generar ganancias. El plan de mantenimiento realizado ayudará a mejorar la conservación de los equipos y sistemas de la producción de hormigón. El plan de mantenimiento que se elaboró está conformado por fichas de características, análisis de criticidad, banco de tareas, procedimientos de trabajo, procedimientos de seguridad, frecuencias, herramientas, materiales, repuestos y equipos, para que los operadores puedan ejecutar las tareas de mantenimiento de forma apropiada y segura en la empresa. El servicio de la empresa estará en la calidad de mantenimiento que se brinde a cada uno de los equipos ya que es de suma importancia tener una visión a futuro, planificar y programar el mantenimiento para cubrir toda el área en el tiempo planificado. Mediante este trabajo el sistema de inyección de agua de la central de hormigonado tendrá un control exacto de agua que ingresa a la mezcladora con un medidor de caudal online BURKET. Los equipos críticos tendrán un análisis vibracional cada 8760 horas y en base al cual se deberá programar las paradas de mantenimiento y ajustar las frecuencias del banco de tareas.The redesign and implementation of a maintenance plan for the water injection system of the concrete plant of the Prefabricated Plant of the Cement Company of Ecuador (EPCE). It will be based on the implementation of an online flow sensor, which will help to have a better flow control (l/min) in the production of concrete. All equipment must be in constant maintenance, providing a high reliability and efficiency in the concrete mixer plant, maintenance is a process where man and machine interact to generate profits. The maintenance plan will help to improve the conservation of equipment and system for the production of concrete. The maintenance plan that has been developed is made up of characteristic sheets, criticality analysis, task bank, work procedures, safety procedures, frequencies, tools, materials, spare parts and equipment, so that operators can perform the maintenance tasks in an appropriate and safe way in the Company. The service of the company will be in the quality of maintenance that is provided to each of the teams since it is of utmost importance to have a visión for the future, to plan and to schedule the maintenance to cover the whole área in the planned time. Through this work the wáter injection System of the concrete plant will have an exact control of water that enters to the mixer with te BURKET online flow meter. Critical equipment will have a vibrational analysis every 8760 hours and on the basis of which the maintenance shutdowns must be programmed and adjust the frequencies of the task bank
Modeling the Compressive Strength of Metakaolin-Based Self-Healing Geopolymer Concrete Using Machine Learning Models
Metakaolin-based self-healing geopolymer concrete treated with Bacillus bacteria represents a significant advancement in sustainable construction due to its eco-friendly properties, enhanced durability, and self-healing capabilities. It is a transformative material for sustainable construction. By reducing carbon emissions, utilizing waste, improving durability, and lowering lifecycle costs, it aligns with global goals for environmentally friendly and resilient infrastructure. Continued research and development will further unlock its potential, making it a cornerstone of the future of sustainable construction. In this research project, a study on modeling the compressive strength of environmentally friendly metakaolin-based self-healing geopolymer concrete treated with Bacillus bacteria (BB) has been conducted, analyzed, and reported. Machine learning methods such as the "Group Methods Data Handling Neural Network (GMDH-NN)”, "Generalized Support Vector Regression (GSVR), "K-Nearest Neighbors (KNN)”, "Tree Decision (Tree)”, "Random Forest (RF)” and "Extreme Gradient Boosting (XGBoost)” were applied to model the compressive strength of the self-healing concrete. The GMDH-NN model was created using GMDH Shell 3.0 software, while XGBoost, GSVR, KNN, Tree, and RF models were created using "Orange Data Mining” software version 3.36. The research method also included gathering relevant experimental and field data, categorizing it effectively, and performing initial analysis to identify trends and relationships. A global representative database was collected from literature for different mixing ratios of self-healing concrete corresponding to the compressive strength, with a total of 147 records, which contained Fly Ash (FA), Silica Fume (SF), Metakaolin (MK), and Bacillus Bacteria (BB) considered as the input constituents. The collected records were divided into a training set (75%) and a validation set (25%) based on established requirements. At the end of the modeling exercise, the GMDH-NN produced the best model with an accuracy of 0.99, while the KNN and the GSVR followed closely with accuracies of 0.975 and 0.97, respectively. However, the RF and the Tree models also produced good accuracies of 0.965 and 0.955, respectively. Also, the GMDH-NN and the KNN again outperformed the other methods, producing an R² of 1.00 and 0.99, respectively, while the GSVR, RF, and Tree followed in this order with R² of 0.98, 0.97, and 0.96, respectively. The error indices, such as the overall error, RMSE, MSE, MAE, and SSE, also confirm this order of performance. The sensitivity analysis on the modeling of compressive strength of metakaolin-based self-healing geopolymer concrete treated with Bacillus bacteria produced a metakaolin (MK) impact of 30%, a silica fume (SF) impact of 29%, a fly ash (FA) impact of 27%, and a Bacillus bacteria (BB) impact of 14%. This highlights the dominant role of metakaolin (30%), silica fume (29%), and fly ash (27%) in determining the compressive strength of metakaolin-based self-healing geopolymer concrete. Bacillus bacteria (14%) have a smaller but meaningful impact, primarily contributing to self-healing and long-term durability. These insights can guide material selection, mix design, and process optimization to enhance both strength and durability. Doi: 10.28991/CEJ-2025-011-04-020 Full Text: PD
Desarrollo de competencias digitales en la educación superior a través de entornos virtuales: Revisión de casos en la educación superior ecuatoriana
This article presents an analysis of the skills and knowledge developed by teachers and students
of Ecuadorian higher education institutions from virtual environments. Through a qualitative
approach methodology and the documentary search of articles in indexed journals with relevant
results, an exhaustive and systematic review was carried out. As a result, it is determined that the
competences related to information access, information management, Internet management,
virtual environments as main developed competences. It is concluded that although some digital
skills are managed in an intermediate and satisfactory way, there are still many skills that have a
low level of development and higher education institutions must focus their efforts to achieve
them.Este artículo presenta un análisis acerca de las habilidades y los conocimientos desarrollados por los docentes y estudiantes instituciones de educación superior ecuatoriana a partir de entornos virtuales. Mediante una metodología de enfoque cualitativo y la búsqueda documental de artículos en revistas indexadas con resultados relevantes se realizó una revisión exhaustiva y sistemática. Como resultado, se determina que las competencias referentes al acceso de la información, gestión de la información, manejo de internet, entornos virtuales como competencias principales desarrolladas. Se concluye que aunque algunas competencias digitales se manejan de modo intermedio y satisfactorio, aún hay muchas competencias que tienen un bajo nivel de desarrollo y las instituciones de educación superior deben enfocar sus esfuerzos para alcanzarlos
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
