Study on experimental characterization of carbon fiber reinforced polymer panel using digital image correlation: A sensitivity analysis

Kashfuddoja, Mohammad; Prasath, R.G.R.; Ramji, M.

doi:10.1016/j.optlaseng.2014.04.019

Cited by 47 publications

(19 citation statements)

References 25 publications

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“…By using the infrared thermography, Huang et al (2008) has confirmed that the relatively low cutting speed was selected to ensure minimal temperature rise in PSZ. In the experiments of Kashfuddoja et al (2014) and Wang et al (2014), the techniques such as high speed imaging and digital image correlation (DIC) have been proved to be reliable for the analysis of strain field. According to the calibration results in Fig.…”

Section: Methodsmentioning

confidence: 99%

Characterization of the deformation field in large-strain extrusion machining

Cai

Chen

et al. 2015

Journal of Materials Processing Technology

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Section: Methodsmentioning

confidence: 99%

Characterization of the deformation field in large-strain extrusion machining

Cai

Chen

et al. 2015

Journal of Materials Processing Technology

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“…Son yıllarda geliştirilen, düşük maliyetli ve esnek bir çözüm sağlayan DIC yöntemi, otomotiv endüstrisi, malzeme testleri ve tıbbi uygulamalar gibi birçok alanda kullanılmaktadır [8]. DIC; kullanımı kolay, basit optik içeren, titreşimden daha az etkilenen, güvenilir ve tüm malzeme sınıflarına uygulanabilir bir deformasyon ölçüm yöntemidir [9]. Uygun çözünürlüğe sahip olan bir kamera seti, beneklenerek hazırlanmış numune, soğuk ışık kaynağı ve analizde kullanılacak programı içeren bir bilgisayar dijital görüntü korelasyonu yönteminin düzeneğini oluşturur (Şekil 2.1) [10].…”

Section: Di̇ji̇tal Görüntü Korelasyonuunclassified

“…Alt küme boyutu, yer değiştirme ölçümü için ardışık görüntüler arasında izlenen görüntünün alanını belirler. Adım aralığı ise yer değiştirmeyi tahmin etmek için alt kümenin üzerinde kaydırılması gereken piksel sayısını belirler [9].…”

Section: Di̇ji̇tal Görüntü Korelasyonuunclassified

Çoklu Çatlayan Lifli Kompozitlerin Birim Deformasyonunun Dijital Görüntü Korelasyonu ile Analizi: Parametre Etkilerinin Değerlendirilmesi

et al. 2020

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Bu çalışmada çekme yüklemesi altında çoklu çatlak davranışı sergileyen lifli kompozitlerin birim şekil değiştirmeleri geleneksel deformasyon ölçer (LVDT) ve dijital görüntü korelasyonu (DIC) yöntemiyle incelenerek kıyaslanmıştır. DIC yönteminde ışık etkisi (kontrollü aydınlatma varlığı), görüntü çözünürlüğü, alt küme boyutu ve adım aralığı parametreleri ile iki farklı korelasyon yöntemi dikkate alınarak analizler gerçekleştirilmiştir. Uygun alt küme boyutunun seçilmesi ve görüntülerin kontrollü aydınlatma ile yüksek çözünürlük koşullarında alınması durumunda, DIC analizi sonucu elde edilen birim şekil değiştirme değerleri, LVDT'lerden elde edilen değerler ile örtüşmektedir.

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Section: Introductionmentioning

confidence: 99%

“…Authors have also made use of DIC for characterizing the in-plane mechanical properties of composite materials [12] [13] [14] [15]. The subset size, the step size, and the region of interest chosen for the DIC prior testing can provide a discrete variation in the measured mechanical properties, as investigated by Kashfuddoja et al on unidirectional CRFP laminates [12]. A comparison with the analytical equations of the rule of mixture and Halpin-Tsai model also showed a variation of approximately 1% and 2% in measuring the longitudinal elastic modulus and the major Poisson's ratio, respectively, while approximately 23% and 53% for the in-plane shear modulus and the transverse modulus, respectively.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of strain measurement systems on a non-isotropic material and its uncertainty on finite element analysis

Baldassarre

Ocampo

Martinez

et al. 2020

The Journal of Strain Analysis for Engineering Design

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The application of strain gauges as recommended by the ASTM standards provides accurate strain measurements in isotropic materials. However, their use in composite materials becomes more challenging due to their anisotropic nature. In this study, we hypothesized that the use of the distributed sensing system and the three-dimensional digital image correlation, which can average strain along a line and surface, respectively, may account for strain variability in composite materials. This study shows an investigation on the mechanical properties of unidirectional, cross-ply, and angle-ply carbon-epoxy specimens using strain gauges, distributed sensing system, and digital image correlation. The Bhattacharyya distance method was used to provide a preliminary evaluation of the closeness of the three different measurement techniques while the B-basis statistical method was used to analyze the experimental data in order to obtain a more conservative and reliable material parameter compared to the conventional averaged value, recommended by ASTM standards. Finally, a finite element model was created in Ansys Workbench™ as a means of evaluating the implication of a single point strain gauges measurement, versus a line or a surface strain measurement. The finite element analysis investigation was performed at a laminae level using the measured experimental elastic modulus and at a lamina–lamina level in which the elastic modulus of the unidirectional case was used as input in all the laminate configurations. The former analysis showed good agreement between the finite element analysis and all the strain measurement systems with an averaged percentage difference below 5%. The latter analysis showed a higher discrepancy in the measured percentage difference. A comparison between the finite element analysis and the strain gauges measurements showed an overall percentage difference between the range of 10% and 26%. Distributed sensing system and three-dimensional digital image correlation measurements provided an overall percentage difference below 10% for all the specimen configurations with a maximum percentage difference recorded for the longitudinal angle-ply case of approximately 9%.

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Study on experimental characterization of carbon fiber reinforced polymer panel using digital image correlation: A sensitivity analysis

Cited by 47 publications

References 25 publications

Characterization of the deformation field in large-strain extrusion machining

Characterization of the deformation field in large-strain extrusion machining

Çoklu Çatlayan Lifli Kompozitlerin Birim Deformasyonunun Dijital Görüntü Korelasyonu ile Analizi: Parametre Etkilerinin Değerlendirilmesi

Accuracy of strain measurement systems on a non-isotropic material and its uncertainty on finite element analysis

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