Data model for additive manufacturing digital thread: state of the art and perspectives

Bonnard, Renan; Hascoët, Jean-Yves; Mognol, Pascal

doi:10.1080/0951192x.2019.1690681

Cited by 45 publications

(19 citation statements)

References 82 publications

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“…The key advantages of AM allow the rapid creation of complex and high-value products at a low cost [21]. This process and material based optimisation generates a lot of data that requires analysing, as such this data management is one of the key issues for the commercial adoption of this technology [22]. Currently, the solution to this issue is outdated and relies on methods developed in the 1980s such as G-code and STL file type combinations [23,24], requiring several modifications and file type combinations to produce a final product.…”

Section: Digital Threadsmentioning

confidence: 99%

Designing and Integrating a Digital Thread System for Customized Additive Manufacturing in Multi-Partner Kayak Production

Bonham

McMaster

Thomson

et al. 2020

Systems

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Additive manufacturing (AM) opens the vision of decentralised and individualised manufacturing, as a tailored product can be manufactured in proximity to the customers with minimal physical infrastructure required. Consequently, the digital infrastructure and systems solution becomes substantially more complex. There is always a need to design the entire digital system so that different partners (or stakeholders) access correct and relevant information and even support design iterations despite the heterogenous digital environments involved. This paper describes how the design and integration of a digital thread for AM can be approached. A system supporting a digital thread for AM kayak production has been designed and integrated in collaboration with a kayak manufacturer and a professional collaborative product lifecycle management (PLM) software and service provider. From the demonstrated system functionality, three key lessons learnt are clarified: (1) The need for developing a process model of the physical and digital flow in the early stages, (2) the separation between the data to be shared and the processing of data to perform each parties’ task, and (3) the development of an ad-hoc digital application for the involvement of new stakeholders in the AM digital flow, such as final users. The application of the digital thread system was demonstrated through a test of the overall concept by manufacturing a functional and individually customised kayak, printed remotely using AM (composed of a biocomposite containing 20% wood-based fibre).

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Section: Digital Threadsmentioning

confidence: 99%

Designing and Integrating a Digital Thread System for Customized Additive Manufacturing in Multi-Partner Kayak Production

Bonham

McMaster

Thomson

et al. 2020

Systems

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“…The format also allows post-processing, if required by the manufacturer, to either STL or AMF with parameters determined from user requirements. Also Bonnard et al [26] described that the two formats STL and AMF are enablers for rapid evolution but not suitable for delicate manufacturing. The STEP-NC format is also more appropriate if manufacture switched between machines with different characteristics.…”

Section: Necessity Of Exact Model In Additive Manufacturingmentioning

confidence: 99%

STEP-NC Based Squashing Slicing Algorithm for Multi-Material and Multi-Directional Additive Process

Um¹,

Park²,

Stroud³

2021

Preprint

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The paper describes problems with the current additive manufacturing chain before considering additive manufacturing as part of a modern manufacturing chain. Additive manufacturing can be used for near net-shape for finishing, for repair or for adding special features which cannot be made with traditional manufacturing. This paper describes how STEP-NC deals with these different scenarios in terms of accuracy, multi-material and variation of slice direction. The possibilities of multi-material objects also raises questions about the design of such objects and how these need to be handled by an advanced controller. The paper also describes non-planar slicing. Curved direction and cylindrical direction are shown to improve the accuracy of curved structure additive manufacturing. STEP-NC using boundary representation has better capability of depicting complex internal structures for additive processes. By using exact model of the final product represented by STEP-NC, the paper demonstrates improvements in data size reduction, slicing accuracy, and precise manipulation of internal structure.

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“…The format also allows post-processing, if required by the manufacturer, to either STL or AMF with parameters determined from user requirements. In addition, Bonnard et al [27] described that the two formats STL and AMF are enablers for rapid evolution but not suitable for delicate manufacturing. The STEP-NC format is also more appropriate if manufacture is switched between machines with different characteristics.…”

Section: Necessity Of Exact Model In Additive Manufacturingmentioning

confidence: 99%

Squashed-Slice Algorithm Based on STEP-NC for Multi-Material and Multi-Directional Additive Processes

Park

Stroud³

2021

Applied Sciences

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Even though additive manufacturing is receiving increasing interest from aerospace, automotive, and shipbuilding, the legacy approach using tessellated form representation and cross-section slice algorithm still has the essential limitation of its inaccuracy of geometrical information and volumetric losses of final outputs. This paper introduces an innovative method to represent multi-material and multi-directional layers defined in boundary-representation standard model and to process complex sliced layers without missing volumes by using the proposed squashing operation. Applications of the proposed method to a bending part, an internal structure, and an industrial moulding product show the assurance of building original shape without missing volume during the comparison with the legacy method. The results show that using boundary representation and te squashing algorithm in the geometric process of additive manufacturing is expected to improve the inaccuracy that was the barrier of applying additive process to various metal industries.

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Data model for additive manufacturing digital thread: state of the art and perspectives

Cited by 45 publications

References 82 publications

Designing and Integrating a Digital Thread System for Customized Additive Manufacturing in Multi-Partner Kayak Production

Designing and Integrating a Digital Thread System for Customized Additive Manufacturing in Multi-Partner Kayak Production

STEP-NC Based Squashing Slicing Algorithm for Multi-Material and Multi-Directional Additive Process

Squashed-Slice Algorithm Based on STEP-NC for Multi-Material and Multi-Directional Additive Processes

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