Results 41 to 50 of about 2,630,352 (374)

An Aerodynamic Assessment of Vehicle-Side Wall Interaction using Numerical Simulation [PDF]

open access: yes, 2020
The effects of induced pressure loads from a realistic vehicle onto the surface of a road-side wall are numerically investigated. Parameters such as vehicle speeds, vehicle-wall separation distances and the effects of inclined walls are examined to ...
Read, Callum, Viswanathan, Harish
core   +1 more source

Automotive Systems Engineering [PDF]

open access: yesIFAC Proceedings Volumes, 2008
Automotive Systems engineering is the key technology for many innovations in vehicle construction. In Vehicle development, quality control, risk and cost management is an important precondition for successful and on-time projects, in addition to expertise in increasing complexity.
openaire   +2 more sources

Machine learning applications in automotive engineering: Enhancing vehicle safety and performance

open access: yesJournal of Process Management and New Technologies
In recent years, the automotive industry has witnessed a significant paradigm shift with the integration of Machine Learning (ML) techniques into various aspects of vehicle design and operation. This paper explores the burgeoning field of ML applications
Surajit Mondal, S. Goswami
semanticscholar   +1 more source

Documentation as Code in Automotive System/Software Engineering

open access: yesElektronika ir Elektrotechnika, 2023
Documentation as Code (DaC) is an approach that applies the principles of software development to the production of technical documentation. Using modern tools, DaC enables software engineers to treat documentation as a first-class citizen in the ...
Momcilo V. Krunic
doaj   +1 more source

ISO/TS 16949: analysis of the diffusion and current trends [PDF]

open access: yes, 2010
The automotive industry has always shown a particular interest toward quality management systems, which resulted in the development of several different specific standards.
Franceschini, Fiorenzo   +3 more
core   +3 more sources

Smart Automotive E-Mobility—A Proposal for a New Curricula for Engineering Education

open access: yesEducation Sciences, 2022
Automotive engineering is an area of great value and development. Lately, it has evolved rapidly because of autonomous vehicles. The development of smart mobility will be crucial in the coming years.
Luis A. Curiel-Ramirez   +5 more
doaj   +1 more source

Optimizing of metal foam design for the use as a heat exchanger [PDF]

open access: yes, 2018
The work deals with possibilities of using this specific material. It is focused on cast metal foams with a regular arrangement of internal cells and it refers to already used casting technologies - the production of metal foamswith the aid of sand cores.
Gebauer, Marek   +2 more
core   +1 more source

Physical, Mechanical, and Thermal Properties of Natural Fiber-Reinforced Epoxy Composites for Construction and Automotive Applications

open access: yesApplied Sciences, 2023
Industrialization and population growth have significantly increased the demand for lightweight, high-strength materials for construction and automotive applications, ultimately increasing the demand for eco-friendly materials.
R. Patel, Anshul Yadav, J. Winczek
semanticscholar   +1 more source

A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?

open access: yesAdvanced Engineering Materials, EarlyView.
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli   +5 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

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