Chen Wang1,*, Pan Wang1, Jiazhao Huang1
The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-2, 2024, DOI:10.32604/icces.2024.011846
Abstract Industry 4.0 promises to bring significant changes to general additive manufacturing (AM) systems, ushered by the incorporation of digital twin development to capture high-volume data in an integrated and automated way [1]. During this transformation, it is required to develop advanced methods to solve main problems in the large-scale industrial use of AM technology. One of the challenges is how to eliminate or mitigate the structural distortion due to thermal effect during AM processes [2-4]. To reduce the level of distortion, a general hands-on approach is to compensate the geometry based on physical measurements of… More >
Login
Register
