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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

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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
Journal of Welding and Joining. 2022;40(3):256-264   Crossref logo
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A Study on the Effect of the Process Parameters on Joint Quality in SOP(Screwing On Plate) Flow Drill Screw Joining Process
Journal of Welding and Joining. 2019;37(1):69-75   Crossref logo
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Linear latent variable regression (LVR)-based process monitoring
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Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry
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A non-destructive quality assessment for blind-fastener installations based on the combination of ultrasound techniques and real-time monitoring of the fastening process
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Process Monitoring Using Hidden Markov Models
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Nonlinear latent variable regression methods
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Improved quality of continuous flow manufacturing through the combination of statistical process control and conventional computer process control
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Study on Dissimilar Butt Joining of Aluminum Alloy, AA5052 and High Strength Low Alloy Steel through a Modified FSW Process
Materials Science Forum. 2015;830-831:278-281   Crossref logo
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