We demonstrate some of the benefits of using vision and graphics in additive manufacturing

Ever since the commercialization of additive manufacturing in the late 80ies, it has been clear what enormous potential the technology could have, potentially disrupting several industries. However, we have yet to see the technology fully adopted by the manufacturing industry. One of the issues that has prevented widespread adoption of 3D printing for use within manufacturing is the apparent lack of quality control during and after the printing process. We aim at solving part of the challenges required for the technology to reach its full envisioned potential.

Additive Manufacturing

About the project

We focus on digitalization and quality control of the 3D printing process. We also develop and evaluate novel 3D printing (additive manufacturing) systems for use within the design space of manufacturing and rapid prototyping.

Contact

Riccardo Tonello
[PhD student]
Technical University of Denmark
David Bue Pedersen
[Senior Researcher]
Technical University of Denmark

Publications

Surface roughness of as-printed polymers: a comprehensive review [2023]

A. P. Golhin, R. Tonello, J. R. Frisvad, S. Grammatikos, A. Strandlie
The International Journal of Advanced Manufacturing Technology , 127(3-4), 987-1043

Surface roughness and grain size variation when 3D printing polyamide 11 parts using selective laser sintering [2023]

R. Tonello, K. Conradsen, D. B. Pedersen, J. R. Frisvad
Polymers , 15(13), 2967

Fast impression painting using multi-color fused deposition modeling with a diamond hotend [2022]

R. Tonello, F. Abedini, D. B. Pedersen, J. R. Frisvad
ASPE and euspen Summer Topical Meeting on Advancing Precision in Additive Manufacturing , 83-87

Microstructure control in 3D printing with digital light processing [2020]

A. Luongo, V. Falster, M. E. B. Doest, M. M. Ribo, E. R. Eiriksson, D. B. Pedersen, J. R. Frisvad
Computer Graphics Forum , 39(1), 347-359

Predicting and 3D Printing Material Appearance [2019]

A. Luongo
Department of Applied Mathematics and Computer Science, Technical University of Denmark

Computer Vision for Additive Manufacturing [2017]

E. R. Eiriksson
Department of Applied Mathematics and Computer Science, Technical University of Denmark

Augmented reality interfaces for additive manufacturing [2017]

E. R. Eiriksson, D. B. Pedersen, J. R. Frisvad, L. Skovmand, V. Heun, P. Maes, H. Aanæs
Image Analysis (Proceedings of SCIA 2017) , Springer, Lecture Notes in Computer Science, vol. 10269, 334-345

Designing for color in additive manufacturing [2016]

E. R. Eiriksson, A. Luongo, J. R. Frisvad, D. B. Pedersen, H. Aanæs
Proceedings of ASPE 2016 Summer Topical Meeting on Dimensional Accuracy and Surface Finish in Additive Manufacturing , 98-102

In-situ monitoring in additive manufacturing using contact image sensors [2016]

D. B. Pedersen, E. R. Eiriksson, H. Aanæs, H. N. Hansen
Proceedings of the ASPE 2016 Summer Topical Meeting on Dimensional Accuracy and Surface Finish in Additive Manufacturing , 114-118

Predicting color output of additive manufactured parts [2015]

E. R. Eiriksson, D. B. Pedersen, H. Aanæs
Proceedings of ASPE 2015 Spring Topical Meeting on Achieving Precision Tolerances in Additive Manufacturing