Digital image correlation for sensing kinematic fields in manufacturing processes: a review

Autor: Pingan Zhu, Chao Zhang, Jun Zou
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Intelligent Manufacturing and Special Equipment, Vol 2, Iss 2, Pp 37-62 (2021)
Druh dokumentu: article
ISSN: 2633-6596
2633-660X
DOI: 10.1108/JIMSE-09-2021-032/full/pdf?title=digital-image-correlation-for-sensing-kinematic-fields-in-manufacturing-processes-a-review
Popis: Purpose – The purpose of the work is to provide a comprehensive review of the digital image correlation (DIC) technique for those who are interested in performing the DIC technique in the area of manufacturing. Design/methodology/approach – No methodology was used because the paper is a review article. Findings – no fundings. Originality/value – Herein, the historical development, main strengths and measurement setup of DIC are introduced. Subsequently, the basic principles of the DIC technique are outlined in detail. The analysis of measurement accuracy associated with experimental factors and correlation algorithms is discussed and some useful recommendations for reducing measurement errors are also offered. Then, the utilization of DIC in different manufacturing fields (e.g. cutting, welding, forming and additive manufacturing) is summarized. Finally, the current challenges and prospects of DIC in intelligent manufacturing are discussed.
Databáze: Directory of Open Access Journals