A Static Contact Angle Algorithm for Silicone Rubber Aging Experiments

Zhi-niu, XU

doi:10.1109/tpwrd.2012.2223830

Cited by 24 publications

(48 citation statements)

References 14 publications

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“…From the aforementioned analysis, it can be seen that the least-squares circle fitting algorithm should be selected in the situation of small volume or contact angle [22]. However, for medium volume and contact angle, the ellipse one should be selected [22]. To further improve accuracy, on the basis of the Laplace equation, more accurate critical water drop volumes are given for the algorithm selection [22], and the accuracy of the static contact angle measurement for the non-superhydrophobic materials is ensured.…”

Section: Introductionmentioning

confidence: 99%

Automatic static contact angle algorithm for blurry drop images and its application in hydrophobicity measurement for insulating materials

Zhi-niu

2015

IET Science, Measurement & Technology

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To improve the accuracy of the static contact angle evaluation for the blurry drop images, a large number of water drop images are numerically generated or acquired by the contact angle instrument/digital camera. Based on these images, the applicability of the circle Hough transformation and circle fitting algorithms is systematically investigated and compared. The results reveal that the least-squares circle fitting algorithm is particularly suitable for the clear drop images, such as the images acquired by the contact angle instrument. The circle Hough transformation is particularly suitable for the blurry drop images, such as the images acquired by the digital camera. The influence of the contact angle on the contact angle error by the circle Hough transformation is investigated. The critical contact angle values corresponding to various water drop volumes are given, which can be used to improve the accuracy of the static contact angle measurement for the blurry drop images. A modified Hough transformation based on the critical contact angle is proposed. The modified Hough transformation is verified by the static contact angle measurements of different insulating materials. The study proposes a comparatively effective algorithm for automatic and accurate static contact angle measurement of the blurry drop images.

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Section: Introductionmentioning

confidence: 99%

Automatic static contact angle algorithm for blurry drop images and its application in hydrophobicity measurement for insulating materials

Zhi-niu

2015

IET Science, Measurement & Technology

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“…clude the polynomial-fitting algorithm, [20][21][22] the circle-fitting algorithm, 23, 24 the ellipse-fitting algorithm, 24, 25 the axisymmetric drop shape analysis-profile (ADSA-P) algorithm, 26 and so on. The polynomial-fitting algorithm 20 is a contact angle measurement approach that does not require the drop profile equation.…”

Section: Introductionmentioning

confidence: 99%

“…In the circle-fitting algorithm, 24 the drop profile is assumed to correspond to a circle segment, and the corresponding circle equation is obtained by the least-squares circle-fitting algorithm. Thereafter, the static contact angle is readily calculated.…”

Section: Introductionmentioning

confidence: 99%

“…As the water drop volume increases, the water drop profile gradually approaches that of part of an ellipse. 25 The ellipse-fitting algorithm 24,27 is more suitable for larger contact angles and drop volumes. However, static contact angle measurements on a superhydrophobic surface will introduce significant errors.…”

Section: Introductionmentioning

confidence: 99%

“…However, static contact angle measurements on a superhydrophobic surface will introduce significant errors. Because the circle-and ellipse-fitting algorithms have negligible errors for small and medium contact angles, respectively, by combining the two algorithms, 24 static contact angles of less than 150 • can be accurately evaluated. However, for contact angles larger than 150 • , the combined algorithm introduces significant errors.…”

Section: Introductionmentioning

confidence: 99%

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An algorithm for selecting the most accurate protocol for contact angle measurement by drop shape analysis

Zhi-niu

2014

Review of Scientific Instruments

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In this study, an error analysis is performed to study real water drop images and the corresponding numerically generated water drop profiles for three widely used static contact angle algorithms: the circle- and ellipse-fitting algorithms and the axisymmetric drop shape analysis-profile (ADSA-P) algorithm. The results demonstrate the accuracy of the numerically generated drop profiles based on the Laplace equation. A significant number of water drop profiles with different volumes, contact angles, and noise levels are generated, and the influences of the three factors on the accuracies of the three algorithms are systematically investigated. The results reveal that the above-mentioned three algorithms are complementary. In fact, the circle- and ellipse-fitting algorithms show low errors and are highly resistant to noise for water drops with small/medium volumes and contact angles, while for water drop with large volumes and contact angles just the ADSA-P algorithm can meet accuracy requirement. However, this algorithm introduces significant errors in the case of small volumes and contact angles because of its high sensitivity to noise. The critical water drop volumes of the circle- and ellipse-fitting algorithms corresponding to a certain contact angle error are obtained through a significant amount of computation. To improve the precision of the static contact angle measurement, a more accurate algorithm based on a combination of the three algorithms is proposed. Following a systematic investigation, the algorithm selection rule is described in detail, while maintaining the advantages of the three algorithms and overcoming their deficiencies. In general, static contact angles over the entire hydrophobicity range can be accurately evaluated using the proposed algorithm. The ease of erroneous judgment in static contact angle measurements is avoided. The proposed algorithm is validated by a static contact angle evaluation of real and numerically generated water drop images with different hydrophobicity values and volumes.

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Synergistic mechanism of botanical pesticide camptothecin encapsulated in a nanocarrier against fall armyworm: Enhanced stability and amplified growth suppression

Huang,

Ni,

et al. 2024

Ecotoxicology and Environmental Safety

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A Static Contact Angle Algorithm for Silicone Rubber Aging Experiments

Cited by 24 publications

References 14 publications

Automatic static contact angle algorithm for blurry drop images and its application in hydrophobicity measurement for insulating materials

Automatic static contact angle algorithm for blurry drop images and its application in hydrophobicity measurement for insulating materials

An algorithm for selecting the most accurate protocol for contact angle measurement by drop shape analysis

Synergistic mechanism of botanical pesticide camptothecin encapsulated in a nanocarrier against fall armyworm: Enhanced stability and amplified growth suppression

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