Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151210
Title: Production planning for cloud-based additive manufacturing—A computer vision-based approach
Authors: Wang, Yuanbin
Zheng, Pai
Xu, Xun
Yang, Huayong
Zou, Jun
Keywords: Engineering::Mechanical engineering
Issue Date: 2019
Source: Wang, Y., Zheng, P., Xu, X., Yang, H. & Zou, J. (2019). Production planning for cloud-based additive manufacturing—A computer vision-based approach. Robotics and Computer-Integrated Manufacturing, 58, 145-157. https://dx.doi.org/10.1016/j.rcim.2019.03.003
Journal: Robotics and Computer-Integrated Manufacturing
Abstract: Cloud-based additive manufacturing (AM) has shown its potential in the market in recent years. When the demand increases, it becomes more important to efficiently schedule tasks to achieve lower production time and cost. Current solutions are either less efficient or over-simplified the problem in this situation. Therefore, an intelligent AM production planning system is proposed using computer vision algorithms. It firstly sorts tasks based on their heights, areas and remaining time to deadline. Then, models are projected on the printing plane and an improved vision-based method is applied to efficiently find high quality packing solutions. A comparative study has been conducted to verify the packing result and efficiency. At last, a case study has been displayed to illustrate the usefulness of the proposed method.
URI: https://hdl.handle.net/10356/151210
ISSN: 0736-5845
DOI: 10.1016/j.rcim.2019.03.003
Rights: © 2019 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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