Quantitative Assessment of the Impact of Alternative Manufacturing Methods on Aeroengine Component Lifing Decisions

Thomsen, Birgitte Raagaard; Kokkolaras, Michael; Månsson, Tomas; Isaksson, Ola

doi:10.1115/1.4034883

Cited by 12 publications

(15 citation statements)

References 27 publications

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“…They further conduct design of experiment to study cost fluctuations caused by variation of PSS design decisions, visualizing the result through spider diagrams and response surfaces. Furthermore, Thomsen et al [49] propose a valuemaximizing framework for making component lifting decision in the context of aerospace PSS design.…”

Section: Pss Cost Engineering: Insights From the Systematic Literaturmentioning

confidence: 99%

At the origins of Product Service Systems: Supporting the concept assessment with the Engineering Value Assessment method

Rondini

Bertoni

Pezzotta

2020

CIRP Journal of Manufacturing Science and Technology

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Manufacturing companies are increasingly moving toward delivering combinations of products and services to provide higher value to their customers. The development of such Product Service Systems (PSS) escalates in complexity when several products developed by different suppliers need to be integrated into a unique system. For first tier suppliers, it is a great challenge to model and simulate the impact of changing design variables at the micro-level on both hardware properties and governing behaviors of services over the entire life-cycle of the PSS. The paper describes a model-based approach developed to estimate the life cycle cost of a PSS hardware already at a concept design stage. The proposed approach computes the relative cost efficiency of a set of design variants using as input the data generated by the simulations run in the Computer Aided Engineering (CAE) environment. The approach allows the exploration of the design space of a PSS given by the variation of the geometry of a Computer Aided Design (CAD) model, building on the computation of customized cost modules selected by a generic list of PSS cost dimensions. For each evaluated design case, the model produces as output a unique monetary figure of the cost expected to incur by owning or using the asset throughout the lifetime. The work has been conducted in collaboration with a tier-one aerospace component manufacturer, and the application of the model is exemplified through a case study related to the development of a turbine rear structure (TRS) for commercial jet engines. The approach is most suitable for the development of complex systems in which new products and components are integrated into a shared product platform. The results are discussed in relation to the current literature on PSS cost engineering, highlighting challenges to be addressed to increase cost estimation accuracy and increase uncertainty identification and awareness.

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Section: Pss Cost Engineering: Insights From the Systematic Literaturmentioning

confidence: 99%

At the origins of Product Service Systems: Supporting the concept assessment with the Engineering Value Assessment method

Rondini

Bertoni

Pezzotta

2020

CIRP Journal of Manufacturing Science and Technology

View full text Add to dashboard Cite

show abstract

“…They further conduct design of experiment to study cost fluctuations caused by variation of PSS design decisions, visualizing the result through spider diagrams and response surfaces. Furthermore, Thomsen et al, (2017) propose a valuemaximizing framework for making component lifting decision in the context of aerospace PSS design.…”

Section: Estimation By Analogymentioning

confidence: 99%

PSS cost engineering: A model-based approach for concept design

Bertoni

2020

CIRP Journal of Manufacturing Science and Technology

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Manufacturing companies are increasingly moving toward delivering combinations of products and services to provide higher value to their customers. The development of such Product Service Systems (PSS) escalates in complexity when several products developed by different suppliers need to be integrated into a unique system. For first tier suppliers, it is a great challenge to model and simulate the impact of changing design variables at the micro-level on both hardware properties and governing behaviours of services over the entire lifecycle of the PSS. The paper describes a model-based approach developed to estimate the life cycle cost of a PSS hardware already at a concept design stage. The proposed approach computes the relative cost efficiency of a set of design variants using as input the data generated by the simulations run in the Computer Aided Engineering (CAE) environment. The approach allows the exploration of the design space of a PSS given by the variation of the geometry of a Computer Aided Design (CAD) model, building on the computation of customised cost modules selected by a generic list of PSS cost dimensions. For each evaluated design case, the model produces as output a unique monetary figure of the cost expected to incur by owning or using the asset throughout the lifetime. The work has been conducted in collaboration with a tier-one aerospace component manufacturer, and the application of the model is exemplified through a case study related to the development of a turbine rear structure (TRS) for commercial jet engines. The approach is most suitable for the development of complex systems in which new products and components are integrated into a shared product platform. The results are discussed in relation to the current literature on PSS cost engineering, highlighting challenges to be addressed to increase cost estimation accuracy and increase uncertainty identification and awareness.

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“…Unless the condition of the engine components are known, there needs to be a sufficient margin to failure at any state of operation. Typically, many components are designed to be serviced at scheduled major overhauls only, and individual components may be replaced or repaired pre-maturely with their real capability (Thomsen et al 2017). This is seen as an overdesign issue and a candidate for optimization.…”

Section: Different Terms For Margins Across the Design Processmentioning

confidence: 99%

Design margins: a hidden issue in industry

2019

Self Cite

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In complex products the values of parameters are rarely exactly the required values, rather they often have a margin that might be designed in deliberately or be the incidental results of other design decisions. These margins play a critical role in design processes in managing engineering change and iteration. While engineers often talk about margins informally, designers and researchers also use other terms for specific margin concepts. This paper reviews the existing literature on related concepts and defines margins formally. It discusses the role margins play in handling uncertainty by distinguishing between buffer and excess. Buffer deals with uncertainty and excess with the remaining overcapacity of the design. Buffer can transition into excess of the design solution if the uncertainty can be reduced. The concepts are applied to the temperature margins of several candidate materials for a non-rotary jet engine component. This shows that a clear understanding of margins can help a company to select design alternatives.

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Quantitative Assessment of the Impact of Alternative Manufacturing Methods on Aeroengine Component Lifing Decisions

Cited by 12 publications

References 27 publications

At the origins of Product Service Systems: Supporting the concept assessment with the Engineering Value Assessment method

At the origins of Product Service Systems: Supporting the concept assessment with the Engineering Value Assessment method

PSS cost engineering: A model-based approach for concept design

Design margins: a hidden issue in industry

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