Browsing by Author "Rojas, L."
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item Modeling of dynamic mass coupled system with Runge-Kutta fourth order(Institute of Physics Publishing, 2019) Rojas, L.; Molina-Cardenas, M.; Caballero, E.; Rojas, C.; Patiño Vanegas, Alberto; Castro Suarez J.R.This paper shows the mathematical modeling process of a mechanical system of masses coupled by two springs and a shock absorber. The process of capture of movement of the mass system coupled with springs was done with software Tracker video analysis and modeling tool. The motion capture of the coupled masses A and B was made with a duration of 20 seconds. A comparison of the results of the movement of the two masses will be established as a first instance, by adjusting trajectories of curves in time using Matlab software and as a second instance a numerical solution of the Mass-Spring model will be established using the Runge Kutta method of 4 order. With this last method, it is expected to achieve a better precision modeling of the initial value problem. Finally, a comparison of the two mathematical models will be made analyzing. © Published under licence by IOP Publishing Ltd.Item Viscosity analysis in lubricants through factorial design with three factors(Latin American and Caribbean Consortium of Engineering Institutions, 2018) Rojas, L.; Hurtado, J.; Rodríguez-Arias, H.A.In the field of statistics, the experimental design becomes an analysis tool to establish the ideal conditions of a very important process and / or product, analysis of variance it is very useful in cases where there are a series of controllable factors and that affect a complex process in order to optimize them, in the specific case, it is sought to give a solution to a lubricants analysis using a factorial design. For the development of the following document, it is proposed to show the analysis performed on lubricant samples by means of a 3 x 22 factorial design with 9 replicas. The analysis was performed on 108 samples, taking into account three different types of lubricants; which were subjected to a temperature of 40 degrees Celsius by kinematic viscocity test. It was observed in the analysis that taking into account the factors that interacted in the design (types of lubricant, parts, brands), only one of them showed significant interaction. The use of the design of factorial experiments is considered pertinent, since this can be useful in making maintenance decisions when buying a specific lubricant brand. The experiment design was carried out with StatGraphics statistical software. © 2018 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.