Innovative Computational Advances in 3D Printing Technology from a Computer Science Perspective

Abstract

Background: 3D printing technology has advanced quickly, transforming many industries, including industry, healthcare, and even the arts. Despite their extensive applicability, the fundamental advances in computer science that underpin these improvements are less often studied. Objective: The article examines the latest developments in 3D printing technology from a computer science standpoint, emphasizing the computational techniques and algorithms that have made these breakthroughs possible. Methods: A thorough literature assessment examined industry reports, conference proceedings, and peer-reviewed publications from the previous ten years. Computational geometry, machine learning methods for print process optimization, and 3D modeling software developments were essential research fields. Results: The findings demonstrate many noteworthy achievements in the field. The efficiency and precision of three-dimensional modeling have been enhanced by advancements in computational geometry. Improved print settings made possible by machine learning algorithms have reduced production times without sacrificing quality. It is now much simpler to make complex and detailed objects thanks to the development of sophisticated 3D modeling tools. Conclusion: The importance of computer science to the development of 3D printing technology is highlighted in the study's conclusion. Better, more precise, and more versatile 3D printing applications across industries may be on the horizon as a consequence of ongoing research and development into computational methodologies.