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Study on Effect of Process Variable on Fastening Quality Using Process Monitoring Data of Flow Drill Screwed 590DP Steel/AA5052 combination |
Tae-Young Kang, Han-ju Lee, Karim Md Abdul, Dae-Geun Nam, Byeong-ryong Lee, Jung-Muk Choi, Yeong-Do Park |
J Weld Join. 2022;40(3):256-264. Published online 2022 June 2 DOI: https://doi.org/10.5781/JWJ.2022.40.3.7 |
Study on Effect of Process Variable on Fastening Quality Using Process Monitoring Data of Flow Drill Screwed 590DP Steel/AA5052 combination A Study on the Effect of the Process Parameters on Joint Quality in SOP(Screwing On Plate) Flow Drill Screw Joining Process Multiscale latent variable regression-based process monitoring methods Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. 2021;155-191 Linear latent variable regression (LVR)-based process monitoring Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry A non-destructive quality assessment for blind-fastener installations based on the combination of ultrasound techniques and real-time monitoring of the fastening process Process Monitoring Using Hidden Markov Models Nonlinear latent variable regression methods Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches. 2021;119-154 Improved quality of continuous flow manufacturing through the combination of statistical process control and conventional computer process control Quality by Design in the Pharmaceutical Industry: Process Modelling, Monitoring and Control using Latent Variable Methods |
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