Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring. Issue 4 (26th August 2022)
- Record Type:
- Journal Article
- Title:
- Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring. Issue 4 (26th August 2022)
- Main Title:
- Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring
- Authors:
- Colosimo, Bianca Maria
Grasso, Marco
Garghetti, Federica
Rossi, Beatrice - Abstract:
- Abstract: The production of novel types of complex shapes is nowadays enabled by new manufacturing paradigms such as additive manufacturing, also known as 3D printing. The continuous increase of shape complexity imposes new challenges in terms of inspection, product qualification and process monitoring methodologies. Previously proposed methods for 2.5D free-form surfaces are no longer applicable in the presence of this kind of new full 3D geometries. This paper aims to tackle this challenge by presenting a statistical quality monitoring approach for structures that cannot be described in terms of parametric models. The goal consists of identifying out-of-control geometrical distortions by analyzing either local variations within the part or changes from part to part. The proposed approach involves an innovative solution for modeling the deviation between the nominal geometry (the originating 3D model) and the real geometry (measured via x-ray computed tomography) by slicing the shapes and estimating the deviation slice by slice. 3D deviation maps are then transformed into 1D deviation profiles enabling the use of a profile monitoring scheme for local defect detection. The feasibility and potential of this method are demonstrated by focusing on a category of complex shapes where an elemental geometry regularly repeats in space. These shapes are known as lattice structures, or metamaterials, and their trabecular shape is thought to provide innovative mechanical and functionalAbstract: The production of novel types of complex shapes is nowadays enabled by new manufacturing paradigms such as additive manufacturing, also known as 3D printing. The continuous increase of shape complexity imposes new challenges in terms of inspection, product qualification and process monitoring methodologies. Previously proposed methods for 2.5D free-form surfaces are no longer applicable in the presence of this kind of new full 3D geometries. This paper aims to tackle this challenge by presenting a statistical quality monitoring approach for structures that cannot be described in terms of parametric models. The goal consists of identifying out-of-control geometrical distortions by analyzing either local variations within the part or changes from part to part. The proposed approach involves an innovative solution for modeling the deviation between the nominal geometry (the originating 3D model) and the real geometry (measured via x-ray computed tomography) by slicing the shapes and estimating the deviation slice by slice. 3D deviation maps are then transformed into 1D deviation profiles enabling the use of a profile monitoring scheme for local defect detection. The feasibility and potential of this method are demonstrated by focusing on a category of complex shapes where an elemental geometry regularly repeats in space. These shapes are known as lattice structures, or metamaterials, and their trabecular shape is thought to provide innovative mechanical and functional performance. The performance of the proposed method is shown in real and simulated case studies. … (more)
- Is Part Of:
- Journal of quality technology. Volume 54:Issue 4(2022)
- Journal:
- Journal of quality technology
- Issue:
- Volume 54:Issue 4(2022)
- Issue Display:
- Volume 54, Issue 4 (2022)
- Year:
- 2022
- Volume:
- 54
- Issue:
- 4
- Issue Sort Value:
- 2022-0054-0004-0000
- Page Start:
- 392
- Page End:
- 414
- Publication Date:
- 2022-08-26
- Subjects:
- 3D printing -- lattice structure -- additive manufacturing -- complex shape -- profile monitoring -- SPC -- statistical quality monitoring
Quality control -- Periodicals
Qualité -- Contrôle -- Périodiques
Quality control
Quality control
Periodicals
620.0045 - Journal URLs:
- http://www.tandfonline.com/ujqt ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/00224065.2021.1926377 ↗
- Languages:
- English
- ISSNs:
- 0022-4065
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23349.xml