Digital image correlation utilization in measuring displacement and strain during plastic film blowing process: A feasibility study

Abstract This research work explores on Digital Image Correlation (DIC) technique as a potential tool for measuring displacement and strain in film blowing extrusion process. A feasibility study on the surface patterning technique, validation of the DIC analysis and selection of DIC parameters were investigated. Understanding on the effects of these factors on the analysis of DIC in film blowing process is crucial as the film moves vertically at a relative speed while being stretched and deformed. Results showed that ink application was the best practice for surface pattern creation. The DIC was validated as a reliable method as the results obtained with the ink procedure were comparable to the conventional grid method. Subset size of 11 pixels and 21 pixels were preferred for small and large pattern, respectively. Regardless of pattern size, subset space of 1 pixel and strain radius of 5 pixels was chosen for yielding accurate result without any distortion in spatial resolution.

[1]  Pascal Doumalin,et al.  Strain Measurement by Digital Image Correlation: Influence of Two Types of Speckle Patterns Made from Rigid or Deformable Marks , 2012 .

[2]  Justin A. Blaber,et al.  Ncorr: Open-Source 2D Digital Image Correlation Matlab Software , 2015, Experimental Mechanics.

[3]  M. Zatloukal,et al.  The effect of polyolefin extensional rheology on non-isothermal film blowing process stability , 2013 .

[4]  H. Haddadi,et al.  Use of rigid-body motion for the investigation and estimation of the measurement errors related to digital image correlation technique , 2008 .

[5]  Arkadiusz Kwiecień,et al.  Application of Digital Image Correlation to composite reinforcements testing , 2017 .

[6]  François Hild,et al.  Recent progress in digital image correlation: From measurement to mechanical identification , 2008 .

[7]  S. Bhattacharya,et al.  Numerical modelling and experimental verification of blown film processing , 2003 .

[8]  P Stoodley,et al.  Applying the digital image correlation method to estimate the mechanical properties of bacterial biofilms subjected to a wall shear stress , 2009, Biofouling.

[9]  G. Campbell,et al.  Correlating the Plastic Strain With the Properties of the Low Density Polyethylene Blown Film , 1993 .

[10]  Sven Bossuyt,et al.  Quality assessment of speckle patterns for digital image correlation , 2006 .

[11]  Anand Asundi,et al.  Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review , 2009 .

[12]  R. Braatz,et al.  Instabilities and multiplicities in non-isothermal blown film extrusion including the effects of crystallization , 2011 .

[13]  Arcady Dyskin,et al.  Digital Image Correlation with Dynamic Subset Selection , 2016 .

[14]  Y. Wang,et al.  Investigation of the Uncertainty of DIC Under Heterogeneous Strain States with Numerical Tests , 2012 .

[15]  Gianluca Tozzi,et al.  The use of digital image correlation in the biomechanical area: a review , 2016 .

[16]  Satoru Yoneyama,et al.  Basic principle of digital image correlation for in-plane displacement and strain measurement , 2016 .

[17]  Hubert W. Schreier,et al.  Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications , 2009 .

[18]  B. Pan.  Recent Progress in Digital Image Correlation , 2011 .

[19]  Masumi Saka,et al.  Noncontact Deflection Distribution Measurement for Large-Scale Structures by Advanced Image Processing Technique , 2012 .

[20]  Elena Romeo,et al.  Two-dimensional digital image correlation for asphalt mixture characterisation: interest and limitations , 2013 .

[21]  H. Jung,et al.  Transient solutions of the dynamics in film blowing processes , 2004 .

[22]  Siddhartha Banerjee,et al.  Digital image correlation for grain scale strain measurement in interstitial free high strength steel , 2016 .

[23]  Yong Wang,et al.  Deformation analysis of ferrite/pearlite banded structure under uniaxial tension using digital image correlation , 2016 .

[24]  M. Sutton,et al.  Systematic errors in digital image correlation due to undermatched subset shape functions , 2002 .

[25]  Kyoungsoo Park,et al.  Assessment of speckle-pattern quality in digital image correlation based on gray intensity and speckle morphology , 2017 .

[26]  A. Mudassar,et al.  Improved Digital Image Correlation method , 2016 .

[27]  Huimin Xie,et al.  Full-field strain measurement using a two-dimensional Savitzky-Golay digital differentiator in digital image correlation , 2007 .

[28]  Reinhold W. Lang,et al.  Strain determination of polymeric materials using digital image correlation , 2010 .

[29]  Dimitri Debruyne,et al.  Study of systematic errors in strain fields obtained via DIC using heterogeneous deformation generated by plastic FEA , 2010 .