In‐process gap detection in friction stir welding
| Autor: | Don Mitchell Wilkes, David R. DeLapp, A.M. Strauss, David H. Lammlein, Matthew T. Bement, George E. Cook, Katherine Fleming, Thomas Lienert, Tracie Prater, Thomas Bloodworth, Paul Fleming |
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| Rok vydání: | 2008 |
| Předmět: |
Engineering
business.industry Detector Mechanical engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS Robotics Welding Structural engineering Work in process Gap detection Industrial and Manufacturing Engineering law.invention law Friction stir welding Friction welding Artificial intelligence Electrical and Electronic Engineering business Linear separability |
| Zdroj: | Sensor Review. 28:62-67 |
| ISSN: | 0260-2288 |
| Popis: | Purpose – This paper aims to investigate methods of implementing in‐process fault avoidance in robotic friction stir welding (FSW).Design/methodology/approach – Investigations into the possibilities for automatically detecting gap‐faults in a friction stir lap weld were conducted. Force signals were collected from a number of lap welds containing differing degrees of gap faults. Statistical analysis was carried out to determine whether these signals could be used to develop an automatic fault detector/classifier.Findings – The results demonstrate that the frequency spectra of collected force signals can be mapped to a lower dimension through discovered discriminant functions where the faulty welds and control welds are linearly separable. This implies that a robust and precise classifier is very plausible, given force signals.Research limitations/implications – Future research should focus on a complete controller using the information reported in this paper. This should allow for a robotic friction stir ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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