Parametric feature constraint modeling and mapping in product development

Yin, Chenggang; Ma, Yongsheng

doi:10.1016/j.aei.2012.02.010

Cited by 36 publications

(15 citation statements)

References 31 publications

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“…When this knowledge can be externalized and codified, it generally takes the form of office files [39]. Moreover, in the early phases of product lifecycle design, generated product information is generally abstract, unclear, superficial and unstructured, and takes the form of office files or sketchy drawings [40,41]. As the project matures, CAD and engineering software may be required to simulate and to test interactions between product components [42].…”

Section: Two Product Information Modeling Levels: Document and Datamentioning

confidence: 99%

What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs

David

Rowe

2016

Computers in Industry

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Section: Two Product Information Modeling Levels: Document and Datamentioning

confidence: 99%

What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs

David

Rowe

2016

Computers in Industry

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“…Although company design processes can define the types of design structures and descriptions that will be required for passage through the process in a stage gated manner, there are also circumstances where design structures need to be created without prior knowledge of what the structure would be because it is not always possible to predict reliably future needs. Liu et al and Yin & Ma [10,11] propose featurebased approaches but these depend on a knowledge of the downstream design structures and are, therefore, only applicable to specific cases. The annotation of lightweight shape models overcomes this problem [12] but the annotations are text-based so limited when new structures are required and models become cluttered as the volume of annotations increases through the life of the product [13].…”

Section: Current Approaches To the Management Of Design Descriptionsmentioning

confidence: 99%

A lattice-based approach for navigating design configuration spaces

McKay

Chau

Earl

et al. 2019

Advanced Engineering Informatics

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Design configurations, such as Bills of Materials (BoMs), are indispensable parts of any product development process and integral to the design descriptions stored in proprietary Computer Aided Design and Product Lifecycle Management systems. Engineers use BoMs and other design configurations as lenses to repurpose design descriptions for specific purposes. For this reason, multiple BoMs typically occur in any given product development process. For example, an engineering BoM may be used to define a configuration that best supports a design activity whereas a manufacturing BoM may be used to define the configuration of parts that best supports a manufacturing process. Current practice for the definition of BoMs involves the use of indented parts lists and dendograms that are prone to error because it is easy to create discrepancies across BoMs that, in essence, are defined through collections of part identifiers such as names and part numbers. Such errors have a significant detrimental effect on the performance of product development processes by creating the need for rework, adding costs and increasing time to market. This paper introduces a design description capability that ensures consistency across BoMs for a given design. A boolean hypercube lattice is used to define a design configuration space that includes all possible configurations for a given design description. Valid operations within the space are governed by the mathematics of hypercube lattices. The design description capability is demonstrated through an early engineering design configuration software tool that offers significant benefits by ensuring consistency across the BoMs for a given design. The software uses and generates design descriptions that are exported from and imported to commercially available design systems through a standard (ISO 10303-214) interface format. In this way, potential for early impact on industry practice is high.

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“…Moreover, if features are integrated with parameters and other features, they can be tracked. Numerous research efforts have been devoted to the feature-based design approach [108]. Monedero gives a basic definition of the integration of parametric design and modeling [63].…”

Section: Feature Technologymentioning

confidence: 99%

“…With the userdriven approach, the user can select certain entities in the parametric model to define a feature [108]. For example, a user will pick three imaginary faces and two real faces to define a notch in the boundary representation (B-rep).…”

Section: Feature Recognitionmentioning

confidence: 99%

Semantic Modeling and Interoperability in Product and Process Engineering

Ma¹

2013

Springer Series in Advanced Manufacturing

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Parametric feature constraint modeling and mapping in product development

Cited by 36 publications

References 31 publications

What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs

What does PLMS (product lifecycle management systems) manage: Data or documents? Complementarity and contingency for SMEs

A lattice-based approach for navigating design configuration spaces

Semantic Modeling and Interoperability in Product and Process Engineering

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