A uniform intermediate model for high-fidelity and efficient visualisation of multidisciplinary heterogeneous simulation data

Shao, Yanli; Liu, Yusheng; Ye, Xiaoping; Wang, Hongwei

doi:10.1080/0951192x.2015.1066863

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…The multidisciplinary CAx environment makes it possible to visualise information for several different disciplines and to merge results from simulations in different domains. However, there are challenges in interpreting the results and making a balanced trade-off between them so that informed design decision can be taken (Shao, Liu et al 2016) (Amouzgar 2015) (Stolt, André et al 2015). This is mainly because there are likely couplings between the objectives with different degrees of importance.…”

Section: Literaturementioning

confidence: 99%

Introducing welding manufacturability in a multidisciplinary platform for the evaluation of conceptual aircraft engine components

Stolt

André

Elgh

et al. 2017

IJPLM

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Computer simulations play an important role for evaluating designs in an early stages leading to that more informed decisions can be taken and thereby reducing the risk of costly re-design. In this paper, a platform currently in operation at aeronautical company for doing extensive automated multiobjective design parameter studies on conceptual designs of aircraft engine components is studied. In the paper, an extension of the capability of the platform into making a rule-based evaluation of the welding manufacturability of the conceptual designs is proposed. The extension is tested by a prototype system at the air-craft manufacturer showing the relation between the design parameters and the manufacturability of the components. The results are presented as a manufacturability index showing what trade-offs with other performance criteria of the engine that can be made. It is shown that the manufacturability evaluation can be integrated in the knowledge value stream and supports a set-based concurrent engineering approach in the company.

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Section: Literaturementioning

confidence: 99%

Introducing welding manufacturability in a multidisciplinary platform for the evaluation of conceptual aircraft engine components

Stolt

André

Elgh

et al. 2017

IJPLM

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“…The findings showed an imbalance in the transfer of knowledge between engineering designers and service engineers, e.g., more than 50% of instances regarding knowledge from service were pushed (hence made available) to the engineering designers without them actively requesting this knowledge, by Ahmed-Kristensen and Vianello [37]. Lastly, Shao et al [38] proposed the development of the uniform intermediate model that supports high fidelity and efficient visualization of multidisciplinary heterogeneous simulation data. As a conclusion, Könnö et al's [39] digital design platform (DDP) provides answers to all these product development processes' needs.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Driven Development of Combustion Engines: Theory and Examples

Frondelius

Tienhaara

Kömi

et al. 2018

SAE Technical Paper Series

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T his paper describes the simulation-driven design process used in engines technology. The research question is "how to use research in the structural analysis and dynamics field to ensure world-class product development?" This paper describes research on simulation methodologies from the design process perspective, demonstrating the need for research in various steps of product development. Each section of the paper includes one or two practical examples in which research was needed to increase product design quality. In the product definition section, the Digital Design Platform (DDP) shows the coupling between product requirements and simulation tasks. At the concept design stage, it is shown that computational methods can optimize the placement of material in the case of the main bearing cap topology. The second example is JuliaFEM, an open-source finite element method (FEM) platform, which is suitable for heavy-duty method development, where the internals of the FE solver is needed to make new calculation methodologies available. The next section is about detailed design, where an example of an oil sump welds fatigue illustrates the continuous improvement of the simulation methodology. The second example is connecting rod fretting calculation, which illustrates the full complexity of the structural analysis and dynamics simulations. The second last process step is the virtual validation, where first the cylinder head simulation methodology shows the internal connections between different disciplines' simulations. Another example here is the crankshaft virtual validation process, which describes the complexity of the "simple" component calculation as well as illustrates the number of needed competencies. Finally, in the validation process step, Big Data analyses describe the internals and complexity of the methodologies. Lastly, counterweight measurement device development illustrates that validation of the simulation models and methods sometimes leads toward a measurement device development project. As a conclusion, all the previous methodologies are used to build the Wärtsilä 31 engine, which is the most efficient four-stroke engine in the world. It is, of course, a performance achievement, but a lot of research in simulation methodologies, as explained, was needed to make a reliable product with such a high cylinder peak pressure.

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A machine learning based global simulation data mining approach for efficient design changes

Shao

Liu

et al. 2018

Advances in Engineering Software

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A uniform intermediate model for high-fidelity and efficient visualisation of multidisciplinary heterogeneous simulation data

Cited by 4 publications

References 27 publications

Introducing welding manufacturability in a multidisciplinary platform for the evaluation of conceptual aircraft engine components

Introducing welding manufacturability in a multidisciplinary platform for the evaluation of conceptual aircraft engine components

Simulation-Driven Development of Combustion Engines: Theory and Examples

A machine learning based global simulation data mining approach for efficient design changes

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