New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements

Autor: Juan Prado-Olivares, Francisco J. Perez-Pinal, Oscar-Octavio Gutiérrez-Frías, Saúl Martínez-Díaz, Jose-Alfredo Padilla-Medina, Alejandro-Israel Barranco-Gutiérrez
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Digital image correlation
business.product_category
Similarity (geometry)
Computer science
Image registration
Initialization
Stereoscopy
02 engineering and technology
01 natural sciences
lcsh:Technology
law.invention
010309 optics
lcsh:Chemistry
DIC
Software
law
0103 physical sciences
General Materials Science
Computer vision
strain measurement
Instrumentation
lcsh:QH301-705.5
Digital camera
Fluid Flow and Transfer Processes
business.industry
lcsh:T
Process Chemistry and Technology
General Engineering
Stamping
021001 nanoscience & nanotechnology
lcsh:QC1-999
Computer Science Applications
initial condition
image registration
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
Artificial intelligence
0210 nano-technology
business
lcsh:Engineering (General). Civil engineering (General)
lcsh:Physics
Zdroj: Applied Sciences
Volume 9
Issue 8
Applied Sciences, Vol 9, Iss 8, p 1691 (2019)
ISSN: 2076-3417
DOI: 10.3390/app9081691
Popis: Nowadays, the deformation measurement in metal sheets is important for industries such as the automotive and aerospace industries during its mechanical stamping processes. In this sense, Digital Image Correlation (DIC) has become the most relevant measurement technique in the field of experimental mechanics. This is mainly due to its versatility and low-cost compared with other techniques. However, traditionally, DIC global image registration implemented in software, such as MATLAB 2018, did not find the complete perspective transformation needed successfully and with high precision, because those algorithms use an image registration of the type &ldquo
afine&rdquo
or &ldquo
similarity&rdquo
based on a 2D information. Therefore, in this paper, a DIC initialization method is presented to estimate the surface deformation of metal sheets used in the bodywork automotive industry. The method starts with the 3D points reconstruction from a stereoscopic digital camera system. Due to the problem complexity, it is first proposed that the user indicates four points, belonging to reference marks of a &ldquo
Circle grid&rdquo
Following this, an automatic search is performed among the nearby marks, as far as one desires to reconstruct it. After this, the local DIC is used to verify that those are the correct marks. The results show reliability by reason of the high coincidence of marks in experimental cases. We also consider that the quality of mark stamping, lighting, and the initial conditions also contribute to trustworthy effects.
Databáze: OpenAIRE