Mejora de rendimiento en tiempo de ejecución de los Algoritmos de Compresión en CPU y GPU utilizando CUDA FP #44

Análisis de Viscocidad en Lubricantes Mediante Diseño Factorial con Tres Factores

Published in: Innovation in Education and Inclusion : Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 18-20, 2018
Location of Conference: Lima, Perú
Authors: Luis Alejandro Rojas Martinez (TECNAR, CO)
Full Paper: #43


In the field of statistics, the experimental design becomes an analysis tool to establish the ideal condition 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 affects 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 os following document, it is proposed to show the analysis performed on lubricant samples by means os a 3 x 2 x 2 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 design of factorial experiments is considered pertinent, since this can be useful in making maintenance decisions when buying a especific lubricant brand. The experiment design was carried out with StatGraphics statistical software.