Capturing Empirically Derived Design Knowledge for Creating Conceptual Design Configurations

Kurtoglu, Tolga; Campbell, Matthew I.; Gonzalez, J.; Bryant, Cari R.; Stone, Robert B.; McAdams, Daniel A.

doi:10.1115/detc2005-84405

Cited by 25 publications

(12 citation statements)

References 31 publications

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“…A set of 69 graph grammar rules have been proposed and implemented in software that can generate multiple function structures from a given black box, thus synthesising new concepts (Sridharan and Campbell 2005). Another tool generates component configurations for new design, using function-component matrices from the Design Repository (Kurtoglu et al 2005a(Kurtoglu et al , 2005b(Kurtoglu et al , 2010. The justification behind this reuse-based approach is that a large share of design problems is adaptive or variant (Baya andLeifer 1995, Iyer et al 2005), enabling the reuse of extant knowledge in new designs.…”

Section: The Engineering Design Viewmentioning

confidence: 99%

A protocol to formalise function verbs to support conservation-based model checking

Sen

Summers

Mocko

2011

Journal of Engineering Design

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This paper proposes, demonstrates, and validates a protocol to formalise mechanical function verb definitions to support automated analysis of early design concepts, specifically, physics-based model checking using the conservation laws. Present graph-based function structures rely on controlled vocabularies of verbs and nouns to model functions and flows. Currently, all vocabularies define these terms in plain text, allowing inconsistent interpretation and term usage in models, thus making the models unsuitable for formal computational reasoning. To address this limitation, two types of model-level consistenciestopological and conservational -are identified through model examination as critical requirements for physics-based reasoning. A protocol is then demonstrated to evolve three verbs -Branch, Distribute, and Convert_Energy -from their textual definitions into formal classes that include the necessary information elements to support this reasoning. These verbs are used to construct function models, which are then used to simulate reasoning by computer algorithms, thus validating that the definitions indeed support conservation-based model checks at the conceptual level. Objective and scopeThe overall motivation of this research is to develop a formal representation of mechanical functions in order to develop software tools that allow modelling and analysis of design concepts using automated reasoning that is presently not supported. As a first step in this direction, this paper presents a protocol to derive formal definitions of function verbs from their existing informal definitions that will ensure two basic types of model-level consistencies: (1) topological and (2) conservational. The first ensures that the count and types of input and output flows associated with the instances of a given verb in a function structure are consistent. The second ensures that each function in the model obeys material and energy conservation laws. This research is motivated by the possibility of supporting a concept-level analysis in design. As the critical objective of conceptual design is to synthesise design solutions, much of the *Corresponding author.

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Section: The Engineering Design Viewmentioning

confidence: 99%

A protocol to formalise function verbs to support conservation-based model checking

Sen

Summers

Mocko

2011

Journal of Engineering Design

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“…Design grammars specify the valid operations for how components can be arranged into an acceptable configuration to form a device [Rinderle, 1991] and allow a designer to construct a set of rules that captures his/her knowledge about a certain type of artifact [Kurtoglu, 2005b]. The generative nature of rule application in grammars makes them a useful tool for design generation.…”

Section: Grammarsmentioning

confidence: 99%

“…A shape grammar is a set of shape rules that when applied in a step by step fashion on a starting shape generate a set, or language, of designs [Kurtoglu, 2005b]. Shape grammars have been applied to generate complex two and three-dimensional spatial designs [Stiny, 1972] [Cagan, 1993] [Wang, 2002].…”

Section: Grammarsmentioning

confidence: 99%

“…Similar to storing empirical knowledge about previous products for reuse in new designs [Kurtoglu, 2005b], we store the previous task/processing information mentioned above to develop new manufacturing system designs. A summary of how knowledge needs for concept generation relate to our selected artificial intelligence computational tool (i.e.…”

Section: Chapter 4: Knowledge-based System Implementationmentioning

confidence: 99%

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Automated conceptual design of manufacturing workcells in radioactive environments

Williams¹

2013

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“…These two concepts are also among our earliest knowledge achievements; typically, infants learn containment (peg in hole) by about 3 months, and tight vs loose by 5 months [Casasola et al, 2003]. Many cognitive scientists believe that our concepts of abstraction, including the is-a construct used in ontologies, is a metaphorical extension of containment [Lakoff and Johnson, 1999].…”

Section: Infant Designermentioning

confidence: 99%

The Birth of Symbols in Design

Mukerjee

Dabbeeru

2009

Volume 8: 14th Design for Manufacturing and the Life Cycle Conference; 6th Symposium on International Design and Design Educati

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In the widespread endeavour to standardize a vocabulary for design, the semantics for the terms, especially at the detailed levels, are often defined based on the exigencies of the implementation. In human usage, each symbol has a wide range of associations, and any attempt at definition will miss many of these, resulting in brittleness. Human flexibility in symbol usage is possible because our symbols are learned from a vast experience of the world. Here we propose the very first steps towards a process by which CAD systems may acquire symbols is by learning usage patterns or image schemas grounded on experience. Subsequently, more abstract symbols may be derived based on these grounded symbols, which thereby retain the flexibility inherent in a learning system.In many design tasks, the "good designs" lie along regions that can be mapped to lower dimensional surfaces or manifolds, owing to latent interdependencies between the variables. These low-dimensional structures (sometimes called chunks) may constitute the intermediate step between the raw experience and the eventual symbol that arises after these patterns become stabilized through communication. In a multi-functional design scenario, we use a locally linear embedding (LLE) to discover these manifolds, which are compact descriptions for the space of "good designs". We illustrate the approach with a simple 2parameter latch-and-bolt design, and with a 8-parameter universal motor.

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Capturing Empirically Derived Design Knowledge for Creating Conceptual Design Configurations

Cited by 25 publications

References 31 publications

A protocol to formalise function verbs to support conservation-based model checking

A protocol to formalise function verbs to support conservation-based model checking

Automated conceptual design of manufacturing workcells in radioactive environments

The Birth of Symbols in Design

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