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

Deliverables

DED process and equipment accuracy results for robotic systems

DED process and equipment accuracy results for robotic systems

Results of DED process constraints analysis

Results of DED process constraints analysis

Test regime for materials

Test regime for materials

Business case for repair via DED processes and best practice for classification and qualification of component damage

Business case for repair via DED processes and best practice for classification and qualification of component damage

Report, gender policy

Report, gender policy

Validation of the optimization framework

Validation of the optimization framework

Material properties of deposited material with substrate and deposited material without substrate.

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

DED repair requirements to fulfil industry and repair requirements and specification

Final gender, ethics and health and safety report

Final gender, ethics and health and safety report

Process accuracy of wire-based DED system and powder-based DED system.

Process accuracy of wire-based DED system and powder-based DED system.

Accuracy analysis results of CNC based DED processes

Accuracy analysis results of CNC based DED processes

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

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

Searching for OpenAIRE data...

Publications

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

Author(s): Al Handawi, Khalil; Lawand, Lydia; Andersson, Petter; Brommesson, Rebecka; Isaksson, Ola; Kokkolaras, Michael
Published in: DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th - 17th August 2018, 2018

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

Author(s): Thomas Hitchcox, Yaoyao Fiona Zhao
Published in: Procedia Manufacturing, Issue 26, 2018, Page(s) 1483-1491, ISSN 2351-9789
DOI: 10.1016/j.promfg.2018.07.093

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

Author(s): Jinghao Li, Xianglin Zhou, Mathieu Brochu, Nikolas Provatas, Yaoyao Fiona Zhao
Published in: Additive Manufacturing, Issue 31, 2020, Page(s) 100989, ISSN 2214-8604
DOI: 10.1016/j.addma.2019.100989

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

Author(s): Jinghao Li, Manuel Sage, Xiaoyi Guan, Mathieu Brochu, Yaoyao Fiona Zhao
Published in: JOM, Issue 72/1, 2020, Page(s) 458-464, ISSN 1047-4838
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

Author(s): Lydia Lawand, Khalil Al Handawi, Massimo Panarotto, Petter Andersson, Ola Isaksson, Michael Kokkolaras
Published in: Proceedings of the Design Society: International Conference on Engineering Design, Issue 1/1, 2019, Page(s) 1343-1352, ISSN 2220-4342
DOI: 10.1017/dsi.2019.140

Thermomechanical modeling of IN718 alloy directed energy deposition process

Author(s): Adrien Doux, Vincent Philippe
Published in: MATEC Web of Conferences, Issue 304, 2019, Page(s) 01023, ISSN 2261-236X
DOI: 10.1051/matecconf/201930401023

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

Author(s): Khalil Al Handawi, Petter Andersson, Massimo Panarotto, Ola Isaksson, Michael Kokkolaras
Published in: Journal of Mechanical Design (JMD), 2020, ISSN 1050-0472

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

Author(s): Xiaoyi Guan, Yaoyao Fiona Zhao
Published in: The International Journal of Advanced Manufacturing Technology, 2020, ISSN 0268-3768
DOI: 10.1007/s00170-020-05027-0