Autonomous Print-Bed Calibration Technique for Large-Scale FDM 3D Printer

Md. Hazrat Ali, Nurtilek Sagynbayev, A. Musabaev, Essam Shehab

2023

Closed access Metadata (CSL-JSON)
DOI 10.1109/icspc59664.2023.10420391
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

One of the biggest challenges in Fused Deposition Modelling (FDM)–based 3D printing is its surface misalignment due to improper heat distribution in its print bed. It becomes further complicated if the print bed is bigger than 300 mm. Due to this problem, many printed objects deviate from their original dimension. This paper highlights a possible solution to this print-bed calibration for a large-scale laboratory-made FDM printer. The technique uses a capacitive sensor to detect and correct the print-head misalignment during printing.