Additive Manufacturing Optimization and Simulation Platform for repairing and re-manufacturing of aerospace components

Leistungen

DED process and equipment accuracy results for robotic systems
Results of DED process constraints analysis
Test regime for materials
Business case for repair via DED processes and best practice for classification and qualification of component damage
Report, gender policy
Validation of the optimization framework
Material properties of deposited material with substrate and deposited material without substrate.
Correlation between surface roughness and deposited material strengthproperties.

Correlation between surface roughness and deposited material properties.

DED repair requirements to fulfil industry and repair requirements and specification
Final gender, ethics and health and safety report
Process accuracy of wire-based DED system and powder-based DED system.
Accuracy analysis results of CNC based DED processes

Proof-of-concept part and generic DED procedures and techniques for repairs

Website fully updated
Website available

Veröffentlichungen

Integrating Additive Manufacturing and Repair Strategies of Aeroengine Components in the Computational Multi-disciplinary Engineering Design Process

Autoren: Al Handawi, Khalil; Lawand, Lydia; Andersson, Petter; Brommesson, Rebecka; Isaksson, Ola; Kokkolaras, Michael
Veröffentlicht in: DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th - 17th August 2018, 2018, ISBN 978-91-7685-185-2
Herausgeber: McGill University, Chalmers University of Technology

Random walks for unorganized point cloud segmentation with application to aerospace repair

Autoren: Thomas Hitchcox, Yaoyao Fiona Zhao
Veröffentlicht in: Procedia Manufacturing, Ausgabe 26, 2018, Seite(n) 1483-1491, ISSN 2351-9789
Herausgeber: Elsevier BV
DOI: 10.1016/j.promfg.2018.07.093

Solidification microstructure simulation of Ti-6Al-4V in metal additive manufacturing: A review

Autoren: Jinghao Li, Xianglin Zhou, Mathieu Brochu, Nikolas Provatas, Yaoyao Fiona Zhao
Veröffentlicht in: Additive Manufacturing, Ausgabe 31, 2020, Seite(n) 100989, ISSN 2214-8604
Herausgeber: Elsevier BV
DOI: 10.1016/j.addma.2019.100989

Machine Learning-Enabled Competitive Grain Growth Behavior Study in Directed Energy Deposition Fabricated Ti6Al4V

Autoren: Jinghao Li, Manuel Sage, Xiaoyi Guan, Mathieu Brochu, Yaoyao Fiona Zhao
Veröffentlicht in: JOM, Ausgabe 72/1, 2020, Seite(n) 458-464, ISSN 1047-4838
Herausgeber: J O M Institute
DOI: 10.1007/s11837-019-03917-7

A Lifecycle Cost-Driven System Dynamics Approach for Considering Additive Re-Manufacturing or Repair in Aero-Engine Component Design

Autoren: Lydia Lawand, Khalil Al Handawi, Massimo Panarotto, Petter Andersson, Ola Isaksson, Michael Kokkolaras
Veröffentlicht in: Proceedings of the Design Society: International Conference on Engineering Design, Ausgabe 1/1, 2019, Seite(n) 1343-1352, ISSN 2220-4342
Herausgeber: Cambridge University Press
DOI: 10.1017/dsi.2019.140

Thermomechanical modeling of IN718 alloy directed energy deposition process

Autoren: Adrien Doux, Vincent Philippe
Veröffentlicht in: MATEC Web of Conferences, Ausgabe 304, 2019, Seite(n) 01023, ISSN 2261-236X
Herausgeber: EDP Sciences
DOI: 10.1051/matecconf/201930401023

Scalable Set-based Design Optimization and Remanufacturing for Meeting Changing Requirements

Autoren: Khalil Al Handawi, Petter Andersson, Massimo Panarotto, Ola Isaksson, Michael Kokkolaras
Veröffentlicht in: Journal of Mechanical Design (JMD), 2020, ISSN 1050-0472
Herausgeber: American Society of Mechanical Engineers

Modeling of the laser powder–based directed energy deposition process for additive manufacturing: a review

Autoren: Xiaoyi Guan, Yaoyao Fiona Zhao
Veröffentlicht in: The International Journal of Advanced Manufacturing Technology, 2020, ISSN 0268-3768
Herausgeber: Springer Verlag
DOI: 10.1007/s00170-020-05027-0

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