Driving towards a greener future: The role of artificial intelligence and 3D printing in advancing energy-efficient vehicles

DOI

10.2991/978-94-6463-518-8_66How to use a DOI?

Keywords

Artificial intelligence; 3D printing; YOLO Object Detection; Convolutional neural networks

Abstract

Based on the current complex climate environment, this paper reviews and analyzes the application of artificial intelligence (AI) and 3D printing technology in energy efficient vehicles. It first introduces the current background of global warming caused by increasing carbon emissions, in which the production of energy-efficient vehicles can mitigate this phenomenon, and then introduces the current cutting-edge AI technology and 3D printing technology. In related work, the author detailed the application of artificial intelligence in the field of autonomous driving and the application of 3D printing technology in the field of automotive manufacturing, such as self-powered tire strain sensors with safety data transmission and Selective Laser Melting (SLM) technology. In terms of research methods and applications, the author uses the You Only Look Once (YOLO) model in AI to simulate autonomous driving, and the speech dialog system (SDS) system to realize human-vehicle language interaction. Convolutional neural networks (CNN) are utilized to verify the compliance of automotive components. In the aspect of 3D printing, it introduces the advantages of SLM technology for printing aluminum as an automobile shell and Polylactic Acid (PLA) for automobile parts using Fused Deposition Modeling (FDM) technology. The following introduces the case experiments of detecting part defects with the CNN model and YOLO model respectively. Finally, based on the current technology, it looks forward to future technology trends and their impact on the automobile industry.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Keyi Liu
PY  - 2024
DA  - 2024/09/28
TI  - Driving towards a greener future: The role of artificial intelligence and 3D printing in advancing energy-efficient vehicles
BT  - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
PB  - Atlantis Press
SP  - 688
EP  - 703
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-518-8_66
DO  - 10.2991/978-94-6463-518-8_66
ID  - Liu2024
ER  -