Results 51 to 60 of about 14,272 (175)

Nanotechnology in Lubricants: A Systematic Review of the Use of Nanoparticles to Reduce the Friction Coefficient

Lubricants
The study of lubricating oil is paramount for the optimal functioning of modern engines, and it has generated intensive research in the automotive industry.
Milton Garcia Tobar, Rafael Wilmer Contreras Urgiles, Bryan Jimenez Cordero, Julio Guillen Matute   +3 more
doaj   +1 more source

The Impact of Oil Viscosity and Fuel Quality on Internal Combustion Engine Performance and Emissions: An Experimental Approach

Lubricants
The automotive industry faces increasing challenges due to fuel scarcity and pollutant emissions, necessitating the implementation of strategies that optimize engine performance while minimizing the environmental impact.
Milton Garcia Tobar, Kevin Pinta Pesantez, Pablo Jimenez Romero, Rafael Wilmer Contreras Urgiles   +3 more
doaj   +1 more source

Physics-Informed Neural Networks for the Structural Analysis and Monitoring of Railway Bridges: A Systematic Review

Mathematics
Physics-informed neural networks (PINNs) offer a mesh-free approach to solving partial differential equations (PDEs) with embedded physical constraints. Although PINNs have gained traction in various engineering fields, their adoption for railway bridge ...
Yuniel Martinez, Luis Rojas, Alvaro Peña, Matías Valenzuela, Jose Garcia   +4 more
doaj   +1 more source

Variational Mechanics for Mining Infrastructure Design: A Systematic Review from Hamilton’s Principle to Physics-Constrained Optimization and Digital Twins

Mathematics
This article presents a systematic synthesis of variationally grounded approaches for the design and optimization of mining structural infrastructure.
Luis Rojas, Yuniel Martinez, Alex Paz, Alvaro Peña, José Garcia   +4 more
doaj   +1 more source

Urban Mobility Pattern Detection: Development of a Classification Algorithm Based on Machine Learning and GPS

Sensors
This study introduces an innovative algorithm for classifying transportation modes. It categorizes modes such as walking, biking, tram, bus, taxi, and private vehicles based on data collected through sensors embedded in smartphones. The data include date,
Juan José Molina-Campoverde, Néstor Rivera-Campoverde, Paúl Andrés Molina Campoverde, Andrea Karina Bermeo Naula   +3 more
doaj   +1 more source

Desafíos del Sector Transporte

Urbano, 2013
La Sociedad Chilena de Ingeniería de Transporte (Sochitran), entregó el documento "Desafíos del Sector Transporte" para la discusión pública, como un aporte de esa Institución al debate programático presidencial que se llevó a cabo en Chile en ocasión de
Sociedad Chilena de Ingeniería de Transporte
doaj  

Smart Sector Grouping Tool Prototype

Engineering Proceedings
European airspace is currently facing significant challenges due to increasing traffic demand and limited sector capacity. This situation leads to an overload of demand, so Air Traffic Controllers (hereinafter ATCOs) are often forced to implement ...
Teresa Arangüete, José Manuel Rísquez, Mariano Rubio Diaz, David Rodríguez-Madridejos   +3 more
doaj   +1 more source

Impact of Oil Viscosity on Emissions and Fuel Efficiency at High Altitudes: A Response Surface Methodology Analysis

Lubricants
This study investigates the effect of oil viscosity on pollutant emissions and fuel consumption of an internal combustion engine (ICE) at high altitudes using a response surface methodology (RSM).
Milton Garcia Tobar, Oscar Cabrera Ojeda, Fredy Crespo Montaño   +2 more
doaj   +1 more source

Symmetrized Dot Patterns and CNN-Based Acoustic Signal Analysis for Fault Diagnosis in Internal Combustion Engines

Sensors
Early detection of faults in internal combustion engines (ICEs) remains an important challenge for improving operational reliability and supporting condition assessment.
Robinson Xavier Rojas Espinoza, Rafael Wilmer Contreras Urgiles, Milton Garcia Tobar   +2 more
doaj   +1 more source

Exploring the Impact of Local Operator Configurations in the Multi-Demand Multidimensional Knapsack Problem

Applied Sciences
The Multi-demand Multidimensional Knapsack Problem (MDMKP) is a challenging combinatorial task due to its capacity and demand constraints. Local search operators play a key role in metaheuristics when navigating such complex solution spaces, yet their ...
José García, Ivo Cattarinich, Paola Moraga, Hernan Pinto   +3 more
doaj   +1 more source