Supporting engineering decisions through contextual, model-oriented communication and knowledge-based engineering in simulation-driven product development: an automotive case study

Sandberg, Stefan; Lundin, Michael; Näsström, Mats; Lindgren, Lars‐Erik; Berglund, Daniel

doi:10.1080/09544828.2012.697133

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…PDM and PLM system solutions support the management of design information through workflow processes, typically in the form of design objects such as files (Stark 2015). Anticipated benefits of integration across design objects themselves, and advances in design analysis, simulation, and optimisation technologies and systems, have led to simulation-driven (Sandberg et al 2013) and model-based engineering (Cloutier et al 2015) solutions. Table 3 lists some of the commonly adopted PLM tools in industry and their key features.…”

Section: Product Data/life Cycle Managementmentioning

confidence: 99%

Sharing design definitions across product life cycles

et al. 2019

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The research reported in this paper explored the feasibility of embedding multiple design structures into design definitions with a view of sharing design definitions across product life cycles. Two separate case studies using (a) lattice theory and (b) a qualitative data analysis (QDA) software tool were used to illustrate the benefits of embedding. In the first case study, of a robotic arm assembly, lattices in the form of partially ordered sets are used to embed multiple design structures into a given design definition. A software prototype has been built that allows a design bill of materials (BoM) to be extracted from a STEP AP214 file and translated into a lattice that is visualized as a Hasse diagram. This lattice is a sub-lattice of a complete lattice that includes all possible BoM structures for the given collection of component parts in the assembly. New BoM design structures can be defined by selecting the required nodes in the complete lattice and alternative product definitions are then exported as new STEP files. The second case study introduces a collision avoidance robot with associated design structures. It is used to illustrate management of design information using a current technique, design structure matrix (DSM), and compared with how embedding using QDA has the potential to support the establishment of relationships between design structures. Results from these case studies demonstrate that it is feasible to use lattice theory as an underlying formalism and QDA as a means for sharing design definitions.

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Section: Product Data/life Cycle Managementmentioning

confidence: 99%

Sharing design definitions across product life cycles

et al. 2019

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“…One example is the system developed by Hisarcikililar and Boujut [28]. Further, Sandberg et al [29] propose an approach that provides knowledge retention and sharing across product development process in CAD environment. The method enables adding design rationale within 3D annotations carried out by designers allowing design and documentation at the same time.…”

Section: Related Workmentioning

confidence: 99%

Capturing, structuring and accessing design rationale in integrated product design and manufacturing processes

Poorkiany

Johansson

Elgh

2016

Advanced Engineering Informatics

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Developing customized products is the business case for many manufacturing companies striving to fulfill the customers' specific needs. When manufacturing customized products it is often necessary to also develop corresponding customized manufacturing tooling. There is a need to support concurrent development of new product variants along with their manufacturing toolsets. The communication between design engineers and manufacturing engineers is hence a key issue that if solved would enable design engineers to forsee how changes in product design affect tooling design and vice versa. To understand the correlation between the design of a product and its corresponding manufacturing tools, access to design rationale of the product and the developed tooling is required. Design rationale provides an explanation of why an artifact is designed in the way it is, including statements (textual, numerical or geometrical), argumentations, and decisions. Since design rationale is composed of information scattered all across the company's repositories in different formats (e.g. in type of a geometry, picture, table, and textual document), representing the design rationale is a challenge for many enterprises. In this paper a method is introduced that enables capture, structure, and access to design rationale across product design and tooling design. The system enables representing design rationale in formats such as CAD models, spreadsheets, textual formats, and web pages. The method has been examined by developing a prototype system tested in a case company which develops and manufactures customized car accessories, such as roof racks and bike carriers, for different car models. The company develops and manufactures the products as well as the required tooling equipment. The prototype system includes different software commonly used by engineers during designing a product, for the purpose of making it applicable for other companies.

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“…Karlberg et al [25] did a comprehensive literature review of the state of the art in simulation-driven design in 2013, followed by Motte et al's [26] computer-based design analysis literature review in 2014, which was again followed by an industrial survey of computer-based design analysis from Petersson et al [27]. Sandberg et al [28] stated: "Investigation and evaluations show that supporting tools and relevant information must be made readily available, intuitive, integrated into the environment where they are needed and, ultimately, be perceived as a natural part of daily development for them to be accepted and used." What do these mean in practice?…”

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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Supporting engineering decisions through contextual, model-oriented communication and knowledge-based engineering in simulation-driven product development: an automotive case study

Cited by 8 publications

References 15 publications

Sharing design definitions across product life cycles

Sharing design definitions across product life cycles

Capturing, structuring and accessing design rationale in integrated product design and manufacturing processes

Simulation-Driven Development of Combustion Engines: Theory and Examples

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