Automated Knowledge‐Based Design for Additive Manufacturing: A Case Study with Flow Manifolds


Date

2022-07

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

Additive manufacturing (AM) enables novel process equipment devices. However, the manual 3D design of complex part geometries is frequently challenging as designers need to fulfill functional requirements and consider the restrictions of AM. One promising approach is to automatically generate the design of parts. This work aims to introduce such an automated design approach to practitioners in the area of process engineering. The work describes the basic steps required to develop an automated, knowledge-based design tool for AM and demonstrates the approach using a case study on flow manifolds.

Publication status

published

Editor

Book title

Volume

94 (S 7)

Pages / Article No.

939 - 947

Publisher

Wiley-VCH

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Additive manufacturing; Design automation; Flow manifolds; Knowledge-based design

Organisational unit

03943 - Meboldt, Mirko / Meboldt, Mirko check_circle

Notes

Funding

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