Enhancing 3D Printing with Procedural Generation and STL Formatting Using Python

Three-dimensional printing has become a fast-growing industry. The first phase of this technology is the design of a 3D object to personalize it and optimize its production. This paper explores the procedural generation of the 3D model. The article aims to present the method of procedurally generating 3D objects in Python. Procedural content generation is the automated creation of content using algorithms. Most often, as part of procedural generation, a small number of input parameters and pseudo-random processes are used to generate content that will meet the requirements. The programming techniques for object customization in Python optimize the manufacturing process. Moreover, procedural generation speeds up the model design, and if developers use 3D scanning methods and artificial intelligence, production can be personalized, which is in line with the concept of Industry 4.0.

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Publication Details

Journal
Applied Sciences
Published
2024-08-19
DOI
https://doi.org/10.3390/app14167299
Citations
6
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
1.22

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article

Enhancing 3D Printing with Procedural Generation and STL Formatting Using Python

Aleksandra Mreła, Izabela Rojek, Jakub Kopowski, Dariusz Mikołajewski
6 citations
Applied Sciences
Additive Manufacturing and 3D Printing Technologies
1.22
article

Enhancing 3D Printing with Procedural Generation and STL Formatting Using Python

Aleksandra Mreła, Izabela Rojek, Jakub Kopowski, Dariusz Mikołajewski
article en
6 citations

Abstract

Three-dimensional printing has become a fast-growing industry. The first phase of this technology is the design of a 3D object to personalize it and optimize its production. This paper explores the procedural generation of the 3D model. The article aims to present the method of procedurally generating 3D objects in Python. Procedural content generation is the automated creation of content using algorithms. Most often, as part of procedural generation, a small number of input parameters and pseudo-random processes are used to generate content that will meet the requirements. The programming techniques for object customization in Python optimize the manufacturing process. Moreover, procedural generation speeds up the model design, and if developers use 3D scanning methods and artificial intelligence, production can be personalized, which is in line with the concept of Industry 4.0.

Applied SciencesVol. 14(16)
Kazimierz Wielki University in Bydgoszcz (PL)
Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Industry, innovation and infrastructure
Openalex Percentile: Top 22%
Additive Manufacturing and 3D Printing Technologies
1.22
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