Neutrosophic fuzzy logic for measuring the geometrical parameters of internal combustion engines as a function of power requirements

Main Article Content

Giovanny Vinicio Pineda Silva
José Pablo Proaño Remache
Esteban Fernando López Espinel
Jorge Andrés Rodas Buenaño

Abstract

In Ecuador there is no manufacturing process for internal combustion engines for mobility purposes, which leads to heavy vehicles entering the market at higher prices. Another concern is the low interest of automotive engineers in the design of thermal engines, partly due to the laborious calculation and recalculation work required. One way to solve both problems is the local incorporation of a computational tool that is easily accessible to both students and professionals, in which the initial sizing of an MAE engine is carried out automatically and quickly. In this work, it was possible to develop and implement this calculation tool correctly by applying formulas for the different diesel engine cycles based on the characteristics of a Mercedes Benz bus and the use of a programming language so that it can help many other people in their studies and work fields. This research focuses on the use of Neutrosophic Fuzzy Logic to measure the geometric parameters of internal combustion engines based on power requirements.

Downloads

Download data is not yet available.

Article Details

How to Cite
Neutrosophic fuzzy logic for measuring the geometrical parameters of internal combustion engines as a function of power requirements. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 35, 170-180. https://fs.unm.edu/NCML2/index.php/112/article/view/628
Section
Articles

How to Cite

Neutrosophic fuzzy logic for measuring the geometrical parameters of internal combustion engines as a function of power requirements. (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 35, 170-180. https://fs.unm.edu/NCML2/index.php/112/article/view/628

Most read articles by the same author(s)