2024

article

english

EN The research presented in the article deals with the application of artificial intelligence, specifically chatbots, in the process of optimizing 3D printing by Fused Deposition Modeling (FDM). Thanks to its widespread availability, 3D printing technology has gained popularity across various fields, but the process has been plagued with problems related to misprints due to improperly selected parameters. This study aimed to determine whether AI chatbots can identify and correct 3D printing defects. Additionally, it examined their ability to modify g-code to optimize print quality. The paper consists of two main parts: theoretical and design and research. The theoretical part discusses the development of artificial intelligence, 3D printing technology and vision systems used to evaluate the quality of prints. The role of AI in monitoring and optimizing the 3D printing process was emphasized. In the research part, experiments were conducted to evaluate the ability of selected chatbots to identify defects in 3D prints and suggest corrections. Various scenarios were analyzed in, which chatbots were expected to identify and suggest solutions for deliberately introduced defects in printing parameters, such as too high printing speed, improper temperature or defects in model geometry. The results of the study indicate that chatbots, despite some limitations, can significantly improve the quality of 3D prints, which opens up new prospects for automation and quality control in manufacturing processes.

10.20944/preprints202412.0751.v1

https://www.preprints.org/manuscript/202412.0751/v1

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland - https://www.preprints.org/

Preprints.org

MDPI Multidisciplinary Digital Publishing Institute

10.12.2024

2310-287X

CC BY (attribution alone)

open repository

final published version