A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system
| Autor: | Huijun Li, Chunyang Xia, Yuming Zhang, Shanben Chen, Yanling Xu, Joseph Polden, Zengxi Stephen Pan |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry Process (computing) 02 engineering and technology Work in process Slicing Industrial and Manufacturing Engineering Manufacturing engineering Gas metal arc welding law.invention 020901 industrial engineering & automation Reliability (semiconductor) Hardware and Architecture Control and Systems Engineering law Control system Manufacturing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Arc welding business Software |
| Zdroj: | Journal of Manufacturing Systems. 57:31-45 |
| ISSN: | 0278-6125 |
| Popis: | Wire arc additive manufacturing technology (WAAM) has become a very promising alternative to high-value large metal components in many manufacturing industries. Due to its long process cycle time and arc-based deposition, defect monitoring, process stability and control are critical for the WAAM system to be used in the industry. Although major progress has been made in process development, path slicing and programming, and material analysis, a comprehensive process monitoring, and control system are yet to be developed. This paper aims to provide an in-depth review of sensing and control design suitable for a WAAM system, including technologies developed for the generic Arc Welding process, the Wire Arc Additive Manufacturing process and laser Additive Manufacturing. Particular focus is given to the integration of sensor-based feedback control, and how they could be implemented into the WAAM process to improve its accuracy, reliability, and efficiency. The paper concludes by proposing a framework for sensor-based monitoring and control system for the GMAW based WAAM process. This framework provides a blueprint for the monitoring and control strategies during the WAAM process and aims to identify and reduce defects using information fusion techniques. |
| Databáze: | OpenAIRE |
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