Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components
Additive manufacturing (AM) is being used increasingly for repair and remanufacturing of aeroengine components. This enables the consideration of a design margin approach to satisfy changing requirements, in which component lifespan can be optimized for different lifecycle scenarios. This paradigm r...
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doaj-0705b71ade14454e8991874372ad36e72020-11-25T03:46:02ZengMDPI AGAerospace2226-43102020-07-01711011010.3390/aerospace7080110Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine ComponentsLydia Lawand0Massimo Panarotto1Petter Andersson2Ola Isaksson3Michael Kokkolaras4Department of Mechanical Engineering, McGill University, 845 Sherbrooke St W, Montreal, QC H3A 0G4, CanadaDepartment of Industrial and Materials Science, Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, SwedenGKN Aerospace Engine Systems, Flygmotorvägen 1, 461 38 Trollhättan, SwedenDepartment of Industrial and Materials Science, Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, SwedenDepartment of Mechanical Engineering, McGill University, 845 Sherbrooke St W, Montreal, QC H3A 0G4, CanadaAdditive manufacturing (AM) is being used increasingly for repair and remanufacturing of aeroengine components. This enables the consideration of a design margin approach to satisfy changing requirements, in which component lifespan can be optimized for different lifecycle scenarios. This paradigm requires lifecycle cost (LCC) modeling; however, the LCC models available in the literature consider mostly the manufacturing of a component, not its repair or remanufacturing. There is thus a need for an LCC model that can consider AM for repair/remanufacturing to quantify corresponding costs and benefits. This paper presents a dynamic LCC model that estimates cumulative costs over the in-service phase and a nested design optimization problem formulation that determines the optimal component lifespan range to minimize overall cost while maximizing performance. The developed methodology is demonstrated by means of an aeroengine turbine rear structure.https://www.mdpi.com/2226-4310/7/8/110design optimizationlifecycle costadditive remanufacturingflexible component designdynamic design margins |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lydia Lawand Massimo Panarotto Petter Andersson Ola Isaksson Michael Kokkolaras |
spellingShingle |
Lydia Lawand Massimo Panarotto Petter Andersson Ola Isaksson Michael Kokkolaras Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components Aerospace design optimization lifecycle cost additive remanufacturing flexible component design dynamic design margins |
author_facet |
Lydia Lawand Massimo Panarotto Petter Andersson Ola Isaksson Michael Kokkolaras |
author_sort |
Lydia Lawand |
title |
Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components |
title_short |
Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components |
title_full |
Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components |
title_fullStr |
Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components |
title_full_unstemmed |
Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components |
title_sort |
dynamic lifecycle cost modeling for adaptable design optimization of additively remanufactured aeroengine components |
publisher |
MDPI AG |
series |
Aerospace |
issn |
2226-4310 |
publishDate |
2020-07-01 |
description |
Additive manufacturing (AM) is being used increasingly for repair and remanufacturing of aeroengine components. This enables the consideration of a design margin approach to satisfy changing requirements, in which component lifespan can be optimized for different lifecycle scenarios. This paradigm requires lifecycle cost (LCC) modeling; however, the LCC models available in the literature consider mostly the manufacturing of a component, not its repair or remanufacturing. There is thus a need for an LCC model that can consider AM for repair/remanufacturing to quantify corresponding costs and benefits. This paper presents a dynamic LCC model that estimates cumulative costs over the in-service phase and a nested design optimization problem formulation that determines the optimal component lifespan range to minimize overall cost while maximizing performance. The developed methodology is demonstrated by means of an aeroengine turbine rear structure. |
topic |
design optimization lifecycle cost additive remanufacturing flexible component design dynamic design margins |
url |
https://www.mdpi.com/2226-4310/7/8/110 |
work_keys_str_mv |
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