Design for additive manufacturing: Framework and methodology

Vaneker, Thomas H.J.; Bernard, Alain; Moroni, Giovanni; Gibson, Ian; Zhang, Yicha

doi:10.1016/j.cirp.2020.05.006

Cited by 176 publications

(50 citation statements)

References 147 publications

(176 reference statements)

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“…Metal AM processes are relatively slow and expensive, but new types of machinery allow additive fabrication of metal-bonded abrasive diamond tools even on a production scale amounting to hundreds of thousands pcs/month [ 88 ]. The knowledge of the optimal process parameters for the fabrication of polyamide or metal matrix composites along with Design for Additive Manufacturing (DfAM) tools and techniques [ 105 ] can be a key issue for wider implementation of AM in the production of grinding tools. Apart from the achievable dimensions of some features such as thin walls or holes [ 37 , 92 ], an effective control of the tool porosity and its micro-structure are the main advantages of AM processes.…”

Section: Discussionmentioning

confidence: 99%

Applications of Additively Manufactured Tools in Abrasive Machining—A Literature Review

et al. 2021

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High requirements imposed by the competitive industrial environment determine the development directions of applied manufacturing methods. 3D printing technology, also known as additive manufacturing (AM), currently being one of the most dynamically developing production methods, is increasingly used in many different areas of industry. Nowadays, apart from the possibility of making prototypes of future products, AM is also used to produce fully functional machine parts, which is known as Rapid Manufacturing and also Rapid Tooling. Rapid Manufacturing refers to the ability of the software automation to rapidly accelerate the manufacturing process, while Rapid Tooling means that a tool is involved in order to accelerate the process. Abrasive processes are widely used in many industries, especially for machining hard and brittle materials such as advanced ceramics. This paper presents a review on advances and trends in contemporary abrasive machining related to the application of innovative 3D printed abrasive tools. Examples of abrasive tools made with the use of currently leading AM methods and their impact on the obtained machining results were indicated. The analyzed research works indicate the great potential and usefulness of the new constructions of the abrasive tools made by incremental technologies. Furthermore, the potential and limitations of currently used 3D printed abrasive tools, as well as the directions of their further development are indicated.

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Section: Discussionmentioning

confidence: 99%

Applications of Additively Manufactured Tools in Abrasive Machining—A Literature Review

et al. 2021

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“…As a second step, this information must also be encoded in a machine-readable manner. The deficiency of (structured) knowledge on Design for Additive Manufacturing (DFAM) has been recognized as one of the obstacles that hinders wider acceptance of AM in industry [23]. A way to formally define knowledge is to employ ontologies, which is discussed below.…”

Section: A Design Guidelinesmentioning

confidence: 99%

Knowledge-Driven Manufacturability Analysis for Additive Manufacturing

Mayerhofer¹,

Lepuschitz²,

Hoebert³

et al. 2021

IEEE Open J. Ind. Electron. Soc.

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Additive Manufacturing (AM) evolved recently from a rapid prototyping process to a standard manufacturing tool. Nevertheless, it is still not a widely used method due to different process-related challenges. In recent years printer technologies and possible printable materials emerged but there are still challenging demands on the printing process. Hence, it is of vital importance to inspect the manufacturability of the designed parts. This work focuses on the not yet widely researched ceramic printing with the Lithography-based Ceramic Manufacturing (LCM) processes. It presents a knowledge-driven framework able to automatically examine geometric properties of a part and compare it to AM guidelines. As a knowledge base, an ontology is used which contains information about the capabilities of AM processes, printers and materials. The manufacturability system uses triangle-based mesh processing algorithms to recognize features and check the guidelines necessary for LCM. The evaluation shows the feasibility of manufacturability analysis with the developed framework and its limitations. INDEX TERMSAdditive manufacturing, computer-aided design, manufacturability analysis, knowledge representation, ontology.

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“…the main cost driver in additive manufacturing is part volume rather than part complexity. However, to take advantage of this novelty, design, production, and verification of AM products still need a significant improvement [1,2,3,4]. Complex geometries, material-process interaction, and internal features are the issues concerning part representation and limiting the current geometric dimensioning and tolerancing/geometric product specification practices [4].…”

Section: Specifications and Verification For Additive Manufacturing Partsmentioning

confidence: 99%

“…According to (2), in N SN q assumes only two possible values s a and s m . This justifies choosing the value 2 as an exponent of the logarithm in (3).…”

Section: Proposed Approach To the Verification Of The Compatibility Of Vmgt And Vrmomentioning

confidence: 99%

Conformance and nonconformance in segmentation-free X-ray computed tomography geometric inspection

Petrò

Pagani

Moroni

et al. 2021

Precision Engineering

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Design for additive manufacturing: Framework and methodology

Cited by 176 publications

References 147 publications

Applications of Additively Manufactured Tools in Abrasive Machining—A Literature Review

Applications of Additively Manufactured Tools in Abrasive Machining—A Literature Review

Knowledge-Driven Manufacturability Analysis for Additive Manufacturing

Conformance and nonconformance in segmentation-free X-ray computed tomography geometric inspection

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