Additive Manufacturing Technology and Its Application Research

Juncheng Yu

2025

Abstract

Additive Manufacturing (AM) technology has revolutionized traditional manufacturing processes through an innovative method of layer-by-layer material stacking, widely applied in aerospace, biomedical, transportation, and other fields. This paper systematically reviews seven mainstream additive manufacturing processes under international standards, including photopolymerization, powder bed fusion, material extrusion, and analyzes their technical advantages through typical application cases, introducing the latest application progress of additive manufacturing in popular fields. However, additive manufacturing still faces multidimensional constraints such as materials, process technology, and social environment. In the future, it is necessary to promote its development towards standardization, greening, and scaling to unleash its technological potential.

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Paper Citation


in Harvard Style

Yu J. (2025). Additive Manufacturing Technology and Its Application Research. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 232-238. DOI: 10.5220/0014350000004718


in Bibtex Style

@conference{emiti25,
author={Juncheng Yu},
title={Additive Manufacturing Technology and Its Application Research},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={232-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014350000004718},
isbn={978-989-758-792-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Additive Manufacturing Technology and Its Application Research
SN - 978-989-758-792-4
AU - Yu J.
PY - 2025
SP - 232
EP - 238
DO - 10.5220/0014350000004718
PB - SciTePress