Issue |
E3S Web Conf.
Volume 564, 2024
International Conference on Power Generation and Renewable Energy Sources (ICPGRES-2024)
|
|
---|---|---|
Article Number | 07007 | |
Number of page(s) | 13 | |
Section | Signal Processing | |
DOI | https://doi.org/10.1051/e3sconf/202456407007 | |
Published online | 06 September 2024 |
Automation and manufacturing of smart materials in additive manufacturing technologies using Internet of Things towards the adoption of industry 4.0
1 Associate Professor, Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India
2 Department of Structurals Techniques Engineering, College of technical Engineering, The Islamic University, Najaf, Iraq; Department of Structurals Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq; Department of Structurals Techniques engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq
3 Department of Mechanical Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India
4 Department of ECE, GRIET, Hyderabad, Telangana
5 Associate Professor, Department of Artificial Intelligence & Machine Learning, Aditya Engineering College, Surampalem, India
* Corresponding author: nareshkumar99890@gmail.com
Business 4.0 emphasizes mass personalization and customisation. Even though additive manufacturing (AM) technologies are capable of producing single items, they are not suitable for 3D printing in large quantities. They are at a disadvantage because they can’t finish the industrial process in big volumes. As a result, all activity utilizing additive manufacturing techniques in industrial manufacturing is cautious. Thus, that is the basis of this study. In order to increase the dependability of additive manufacturing procedures and large-scale 3D printing of smart products for global businesses, the research attempts to identify and take advantage of Industry 4.0 technologies. Our study focuses on the requirements of Industry 4.0 technology in data science and additive manufacturing applications. Technologies (ITs) are used in additive manufacturing. Business 4.0 emphasizes mass personalization and customisation. Even though additive manufacturing (AM) technologies are capable of producing single items, they are not suitable for 3D printing in large quantities. They are at a disadvantage because they can’t finish the industrial process in big volumes. As a result, all activity utilizing additive manufacturing techniques in industrial manufacturing is cautious. Thus, that is the basis of this study. In order to increase the dependability of additive manufacturing procedures and large-scale 3D printing of smart products for global businesses, the research attempts to identify and take advantage of Industry 4.0 technologies. Our study focuses on the requirements of Industry 4.0 technology in data science and additive manufacturing applications. Technologies (ITs) are used in additive manufacturing.
Key words: Global business / Internet / Software Design / wisdom
© The Authors, published by EDP Sciences, 2024
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