RESEARCH & PROJECTs

Digital Twin for Human Centered Design of Future Aircraft

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In accordance with the increasing passengers expectation of commercial flight, cabin comfort is becoming one of the most important parameter for both the design of future aircraft and for the update of the existing ones. Moreover, cockpit comfort and ergonomics could deeply affect the performance of pilots, especially during long haul flight, leading to increased psychophysical fatigue and thus to reduced safety of operation. Thus, the increase of cabin/cockpit comfort drives the aeronautical industry to develop new HCD procedures that aim to take into account for the passengers/pilots well-being perception and response to the external stimuli coming from the flight environment. In this framework, the Digital Twins can be used to increase the quality of parts and systems used in aircraft production [23] extending the concept to the upgrade of aircraft comfort for both the passengers and pilots.

On this basis, the general objective of the TWINCRAFT project is to use and/or develop Digital Twins of a real aircraft, such as flight simulator, extended reality and numerical codes, to set up design tools and procedures for comfort improvement taking into account the human perception and response, with particular regards to the different cabin layout and to Noise & Vibration - N&V.

To these aims:

numerical tools will be implemented to analyse new class of materials to be used as passive technologies for the N&V attenuation;
extended reality will be used to enable the user to interact with different cabin/cockpit layout and environment during a simulated flight;
a full flight simulator will be used to assess the human perception of comfort and to evaluate human response and performances under different layout and N&V levels.

The aforementioned three aims will be integrated in such a way that the numerical tools will allow to define the N&V levels to be simulated with the FFS allowing for the experimental evaluation of the N&V level influence onto the human comfort and perception of the surroundings cabin environment.

Info

Funded by: MIUR, bando PRIN 2022

Start Date: 28/09/2023

Duration: 24 months

Coordinator

Partners

Un nuovo logo per il Politecnico di Torino - La Stampa Università degli Studi di Enna "Kore" | AlmaLaurea

MUL2 Investigators

Erasmo Carrera, Karim Abu Salem, Giuseppe Palaia

UNIBO Investigators

Sara Bagassi, Martino Moruzzi, Tommaso Fadda

UNIKORE Investigators

Andrea Alaimo, Antonio Esposito

Global/local analysis of composite wing structures

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An AI-assisted virtual manufacturing approach to mitigate defects in advanced composites

In the past two decades, composite manufacturing has become crucial for successful design, leading to increased research in computational simulation. Manufacturing simulation aims to capture the temporal and spatial distribution of parameters, e.g., chemical, physical, and mechanical properties, enabling various applications such as failure analysis and evaluation of equipment effects. Virtual manufacturing, incorporating AI, seeks to optimize processes, reduce defects, and enhance efficiency.

This project combines structural mechanics, material engineering, and AI to achieve first-time-right composite parts without the need for iterative physical molds and parts. The focus is on numerical hardening modelling, three-dimensional strain and stress prediction, defect reduction and the use of artificial intelligence for design and production optimisation.

This work was supported in part by the Italian Ministry of Foreign Affairs and International Cooperation, grant number US23GR12.

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