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Accelerated quality improvement of 3D printed objects based on a case-based reasoning system

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Abstract

The advancement of additive manufacturing technology and prominence of computer-aided design software allow users to easily fabricate desired products. Currently, 3D printers based on filament extrusion are the most common type in the market and are well known to consumers because of their low price and availability. In order to reduce the difficulty of printing procedures, the basic mode provided by the slicing software can achieve normal printing quality. However, this way is still difficult to solve the problem of mastering key parameters for higher printing quality. This study aims to overcome this problem by developing an artificial intelligence system based on case-based reasoning method, allowing users to rapidly obtain the advanced printing parameters for enhancing the printing quality. The first step uses the input information by the users to retrieve the most similar case from the case library in the index system for the users to examine. If the case features meet the need of the users, then they are applied in the printing. Conversely, a case revision technique is used to solve the incompatible features. It will print after solving the incompatibility. Finally, the features and the printing parameters of the new object are retained to the case library to increase the resolution capability of the system.

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Acknowledgements

The authors would like to thank the Ministry of Science and Technology, R.O.C., for financial support (MOST 108-2622-E-110-016-CC3 and MOST 110-2622-E-027-029).

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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  1. Program in Interdisciplinary Studies, National Sun Yat-Sen University, Kaohsiung, 80424, Taiwan

    Cheng-Jung Yang

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  1. Cheng-Jung Yang
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Correspondence to Cheng-Jung Yang.

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Highlights

• Intelligent system to enhance the printing quality.

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Yang, CJ. Accelerated quality improvement of 3D printed objects based on a case-based reasoning system. Int J Adv Manuf Technol 119, 4599–4612 (2022). https://doi.org/10.1007/s00170-022-08672-9

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