Exploring the Potential of Digital Twin-Driven Design of Aero-Engine Structures
Paper i proceeding, 2021

As the diversity of customer needs increases within the aerospace industry, so does the need for improved design practices to reduce quality issues downstream. When designing new products, design engineers struggle with applying tolerances to features, which often leads to expensive late design iterations. To mitigate this, one aerospace company is looking to reuse tolerance deviation data yielded during manufacturing in design. In the long term these data could provide the basis for a Digital Twin that can be used for improved product development. This article explores how data from production are used today, what issues prevents such data from being exploited in the design phase, and how they potentially could be used for design purposes in the future. To understand the current situation and identify the untapped potential of production data in design, an interview study was conducted in conjunction with a literature review. In this paper the current situation and primary barriers are presented and a possible path for further research and development is suggested.

Engineering Design

Data-Driven Engineering


Industry 4.0


Digital Twin


Julian Martinsson Bonde

Chalmers, Industri- och materialvetenskap, Produktutveckling

Massimo Panarotto

Chalmers, Industri- och materialvetenskap, Produktutveckling

Michael Kokkolaras

Chalmers, Industri- och materialvetenskap, Produktutveckling

Ola Isaksson

Chalmers, Industri- och materialvetenskap, Produktutveckling

Proceedings of the Design Society

2732527X (eISSN)

Vol. 1 1521-1528

23rd International Conference on Engineering Design, ICED 2021
Göteborg, Sweden,

Development of efficient DIgital product FAMily design platform to increase cost efficiency - DIFAM

VINNOVA (2019-02756), 2019-10-01 -- 2022-12-31.

GKN Aerospace Sweden, 2019-10-01 -- 2022-12-31.



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