@inproceedings{a992b728c01948d7889bb3ad1f8f6585,
title = "Prescriptive Analytics for Understanding of Out-of-Plane Deformation in Additive Manufacturing",
abstract = "Geometric accuracy control is crucial to fulfill the promise of additive manufacturing (AM). The control of the out-of-plane deformation has been a challenge task for AM due to its complex underlying physics. We have been establishing a generic and prescriptive methodology to represent, predict and compensate 3D geometric deformation of AM built products based on a limited number of test cases. Built upon our previous study, this work aims at developing a prescriptive approach to better understand the out-of-plane deformation due to complex inter-layer interactions. Experimental investigation is conducted to validate the prescriptive model through a stereolithography process.",
keywords = "deformation prediction, Geometric error, inter-layer bonding, out-of-plane deformation",
author = "Yuan JIN and QIN, {S. Joe} and Qiang HUANG",
year = "2016",
month = aug,
doi = "10.1109/COASE.2016.7743482",
language = "English",
isbn = "9781509024100",
series = "IEEE International Conference on Automation Science and Engineering",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "786--791",
booktitle = "2016 IEEE International Conference on Automation Science and Engineering (CASE 2016)",
note = "2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 ; Conference date: 21-08-2016 Through 25-08-2016",
}