Process Monitoring of Extrusion Based 3D Printing via Laser Scanning

12/07/2016
by   Matthias Faes, et al.
0

Extrusion based 3D Printing (E3DP) is an Additive Manufacturing (AM) technique that extrudes thermoplastic polymer in order to build up components using a layerwise approach. Hereby, AM typically requires long production times in comparison to mass production processes such as Injection Molding. Failures during the AM process are often only noticed after build completion and frequently lead to part rejection because of dimensional inaccuracy or lack of mechanical performance, resulting in an important loss of time and material. A solution to improve the accuracy and robustness of a manufacturing technology is the integration of sensors to monitor and control process state-variables online. In this way, errors can be rapidly detected and possibly compensated at an early stage. To achieve this, we integrated a modular 2D laser triangulation scanner into an E3DP machine and analyzed feedback signals. A 2D laser triangulation scanner was selected here owing to the very compact size, achievable accuracy and the possibility of capturing geometrical 3D data. Thus, our implemented system is able to provide both quantitative and qualitative information. Also, in this work, first steps towards the development of a quality control loop for E3DP processes are presented and opportunities are discussed.

READ FULL TEXT

page 3

page 4

research
06/16/2022

Predicting Geometric Errors and Failures in Additive Manufacturing

Additive manufacturing is a process that has facilitated the cost effect...
research
12/03/2021

In situ process quality monitoring and defect detection for direct metal laser melting

Quality control and quality assurance are challenges in Direct Metal Las...
research
06/17/2022

A hybrid deep learning model of process-build interactions in additive manufacturing

Laser powder bed fusion (LPBF) is a technique of additive manufacturing ...
research
01/20/2023

Predicting Surface Texture in Steel Manufacturing at Speed

Control of the surface texture of steel strip during the galvanizing and...
research
06/13/2020

Predictive modeling approaches in laser-based material processing

Predictive modelling represents an emerging field that combines existing...
research
07/29/2021

Modeling and Optimizing Laser-Induced Graphene

A lot of technological advances depend on next-generation materials, suc...
research
11/18/2020

Towards online monitoring and data-driven control: a study of segmentation algorithms for infrared images of the powder bed

An increasing number of selective laser sintering and selective laser me...

Please sign up or login with your details

Forgot password? Click here to reset