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Artificial Intelligence (AI)–Based Surface Quality Prediction Model for Carbon Fiber Reinforced Plastics (CFRP) Milling Process

Jin Woo Kim, Jungsoo Nam, Geun Young Kim, Sang Won Lee

Int. J. Precis. Eng. Manuf.-Smart Tech.. 2023;1(1):35-47. Published online 2023 January 1 DOI: https://doi.org/10.57062/ijpem-st.2022.0052

Artificial Intelligence (AI)–Based Surface Quality Prediction Model for Carbon Fiber Reinforced Plastics (CFRP) Milling Process

Jin Woo Kim, Jungsoo Nam, Geun Young Kim, Sang Won Lee

International Journal of Precision Engineering and Manufacturing-Smart Technology. 2023;1(1):35-47

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Effect of plasma surface treatment of recycled carbon fiber on carbon fiber-reinforced plastics (CFRP) interfacial properties

Hooseok Lee, Isamu Ohsawa, Jun Takahashi

Applied Surface Science. 2015;328:241-246

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Surface Quality of Staggered PCD End Mill in Milling of Carbon Fiber Reinforced Plastics

Guangjun Liu, Hongyuan Chen, Zhen Huang, Fei Gao, Tao Chen

Applied Sciences. 2017;7(2):199

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Experimental Investigation on the Tilt Helical Milling of Carbon Fiber Reinforced Plastics (CFRP)

Qiang Wang, Yong Bo Wu, Dong Lu, Teruo Bitoh, Ming Feng

Key Engineering Materials. 2018;792:173-178

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Neural Network-based Model Parameter Estimation for End Milling of Carbon Fiber Reinforced Polymer (CFRP) Composites

Darshan S, K.A. Desai, Abir Bhattacharyya

Procedia CIRP. 2023;117:365-370

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Geometrical Simulation Model for Milling of Carbon Fiber Reinforced Polymer (CFRP) Composites

Xingyu Fu, Kyeongeun Song, Dong Min Kim, Zhengyang Kang, Martin Byung-Guk Jun

. 2021;

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Unidirectional Carbon Fiber Reinforced Thermoplastic Tape in Automated Tape Placement Process

Svetlana Risteska

Fiber-Reinforced Plastics. 2022;

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Use of Brushing for Improving the Surface Quality of Fiber-Reinforced Plastics After Milling

Krzysztof Ciecielag

2022 IEEE 9th International Workshop on Metrology for AeroSpace (MetroAeroSpace). 2022;

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Patent for environmentally-friendly carbon fiber process

Reinforced Plastics. 2017;61(1):25

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Carbon fiber recycling process could help reduce waste

Reinforced Plastics. 2016;60(6):360

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