The Experts below are selected from a list of 186 Experts worldwide ranked by ideXlab platform

Brian S Thurow - One of the best experts on this subject based on the ideXlab platform.

  • development and uncertainty characterization of 3d Particle Location from perspective shifted plenoptic images
    Optics Express, 2019
    Co-Authors: Elise M Hall, Daniel R Guildenbecher, Brian S Thurow
    Abstract:

    This work details the development of an algorithm to determine 3D position and in plane size and shape of Particles by exploiting the perspective shift capabilities of a plenoptic camera combined with stereo-matching methods. This algorithm is validated using an experimental data set previously examined in a refocusing based Particle Location study in which a static Particle field is translated to provide known depth displacements at varied magnification and object distances. Examination of these results indicates increased accuracy and precision is achieved compared to a previous refocusing based method at significantly reduced computational costs. The perspective shift method is further applied to fragment localization and sizing in a lab scale fragmenting explosive.

  • uncertainty characterization of Particle Location from refocused plenoptic images
    Optics Express, 2017
    Co-Authors: Elise M Hall, Daniel R Guildenbecher, Brian S Thurow
    Abstract:

    Plenoptic imaging is a 3D imaging technique that has been applied for quantification of 3D Particle Locations and sizes. This work experimentally evaluates the accuracy and precision of such measurements by investigating a static Particle field translated to known displacements. Measured 3D displacement values are determined from sharpness metrics applied to volumetric representations of the Particle field created using refocused plenoptic images, corrected using a recently developed calibration technique. Comparison of measured and known displacements for many thousands of Particles allows for evaluation of measurement uncertainty. Mean displacement error, as a measure of accuracy, is shown to agree with predicted spatial resolution over the entire measurement domain, indicating robustness of the calibration methods. On the other hand, variation in the error, as a measure of precision, fluctuates as a function of Particle depth in the optical direction. Error shows the smallest variation within the predicted depth of field of the plenoptic camera, with a gradual increase outside this range. The quantitative uncertainty values provided here can guide future measurement optimization and will serve as useful metrics for design of improved processing algorithms.

Elise M Hall - One of the best experts on this subject based on the ideXlab platform.

  • development and uncertainty characterization of 3d Particle Location from perspective shifted plenoptic images
    Optics Express, 2019
    Co-Authors: Elise M Hall, Daniel R Guildenbecher, Brian S Thurow
    Abstract:

    This work details the development of an algorithm to determine 3D position and in plane size and shape of Particles by exploiting the perspective shift capabilities of a plenoptic camera combined with stereo-matching methods. This algorithm is validated using an experimental data set previously examined in a refocusing based Particle Location study in which a static Particle field is translated to provide known depth displacements at varied magnification and object distances. Examination of these results indicates increased accuracy and precision is achieved compared to a previous refocusing based method at significantly reduced computational costs. The perspective shift method is further applied to fragment localization and sizing in a lab scale fragmenting explosive.

  • uncertainty characterization of Particle Location from refocused plenoptic images
    Optics Express, 2017
    Co-Authors: Elise M Hall, Daniel R Guildenbecher, Brian S Thurow
    Abstract:

    Plenoptic imaging is a 3D imaging technique that has been applied for quantification of 3D Particle Locations and sizes. This work experimentally evaluates the accuracy and precision of such measurements by investigating a static Particle field translated to known displacements. Measured 3D displacement values are determined from sharpness metrics applied to volumetric representations of the Particle field created using refocused plenoptic images, corrected using a recently developed calibration technique. Comparison of measured and known displacements for many thousands of Particles allows for evaluation of measurement uncertainty. Mean displacement error, as a measure of accuracy, is shown to agree with predicted spatial resolution over the entire measurement domain, indicating robustness of the calibration methods. On the other hand, variation in the error, as a measure of precision, fluctuates as a function of Particle depth in the optical direction. Error shows the smallest variation within the predicted depth of field of the plenoptic camera, with a gradual increase outside this range. The quantitative uncertainty values provided here can guide future measurement optimization and will serve as useful metrics for design of improved processing algorithms.

Maspoch, Maria Lluisa - One of the best experts on this subject based on the ideXlab platform.

  • The effect of titanium dioxide surface modification on the dispersion, morphology, and mechanical properties of recycled PP/PET/TiO2 PBNANOs
    2019
    Co-Authors: Matxinandiarena Eider, Múgica Agurtzane, Zubitur Manuela, Yus Cristina, Sebastián Víctor, Irusta Silvia, Loaeza, Alfonso David, Santana Orlando, Maspoch, Maria Lluisa, Puig Cristian
    Abstract:

    Titanium dioxide (TiO2) nanoParticles have recently appeared in PET waste because of the introduction of opaque PET bottles. We prepare polymer blend nanocomposites (PBNANOs) by adding hydrophilic (hphi), hydrophobic (hpho), and hydrophobically modified (hphoM) titanium dioxide (TiO2) nanoParticles to 80rPP/20rPET recycled blends. Contact angle measurements show that the degree of hydrophilicity of TiO2 decreases in the order hphi > hpho > hphoM. A reduction of rPET droplet size occurs with the addition of TiO2 nanoParticles. The hydrophilic/hydrophobic balance controls the nanoParticles Location. Transmission electron microscopy (TEM_ shows that hphi TiO2 preferentially locates inside the PET droplets and hpho at both the interface and PP matrix. HphoM also locates within the PP matrix and at the interface, but large loadings (12%) can completely cover the surfaces of the droplets forming a physical barrier that avoids coalescence, leading to the formation of smaller droplets. A good correlation is found between the crystallization rate of PET (determined by DSC) and nanoParticles Location, where hphi TiO2 induces the highest PET crystallization rate. PET lamellar morphology (revealed by TEM) is also dependent on Particle Location. The mechanical behavior improves in the elastic regime with TiO2 addition, but the plastic deformation of the material is limited and strongly depends on the type of TiO2 employed

  • The effect of titanium dioxide surface modification on the dispersion, morphology, and mechanical properties of recycled PP/PET/TiO2 PBNANOs
    'MDPI AG', 2019
    Co-Authors: Matxinandiarena Eider, Múgica Agurtzane, Zubitur Manuela, Loaeza Becerril, Alfonso David, Santana Pérez, Orlando Onofre, Maspoch, Maria Lluisa
    Abstract:

    Titanium dioxide (TiO2) nanoParticles have recently appeared in PET waste because of the introduction of opaque PET bottles. We prepare polymer blend nanocomposites (PBNANOs) by adding hydrophilic (hphi), hydrophobic (hpho), and hydrophobically modified (hphoM) titanium dioxide (TiO2) nanoParticles to 80rPP/20rPET recycled blends. Contact angle measurements show that the degree of hydrophilicity of TiO2 decreases in the order hphi > hpho > hphoM. A reduction of rPET droplet size occurs with the addition of TiO2 nanoParticles. The hydrophilic/hydrophobic balance controls the nanoParticles Location. Transmission electron microscopy (TEM_ shows that hphi TiO2 preferentially locates inside the PET droplets and hpho at both the interface and PP matrix. HphoM also locates within the PP matrix and at the interface, but large loadings (12%) can completely cover the surfaces of the droplets forming a physical barrier that avoids coalescence, leading to the formation of smaller droplets. A good correlation is found between the crystallization rate of PET (determined by DSC) and nanoParticles Location, where hphi TiO2 induces the highest PET crystallization rate. PET lamellar morphology (revealed by TEM) is also dependent on Particle Location. The mechanical behavior improves in the elastic regime with TiO2 addition, but the plastic deformation of the material is limited and strongly depends on the type of TiO2 employed.Peer Reviewe

  • The effect of titanium dioxide surface modification on the dispersion, morphology, and mechanical properties of recycled PP/PET/TiO2 PBNANOs
    'MDPI AG', 2019
    Co-Authors: Matxinandiarena Eider, Múgica Agurtzane, Zubitur Manuela, Loaeza Becerril, Alfonso David, Santana Pérez, Orlando Onofre, Maspoch, Maria Lluisa
    Abstract:

    Titanium dioxide (TiO2) nanoParticles have recently appeared in PET waste because of the introduction of opaque PET bottles. We prepare polymer blend nanocomposites (PBNANOs) by adding hydrophilic (hphi), hydrophobic (hpho), and hydrophobically modified (hphoM) titanium dioxide (TiO2) nanoParticles to 80rPP/20rPET recycled blends. Contact angle measurements show that the degree of hydrophilicity of TiO2 decreases in the order hphi > hpho > hphoM. A reduction of rPET droplet size occurs with the addition of TiO2 nanoParticles. The hydrophilic/hydrophobic balance controls the nanoParticles Location. Transmission electron microscopy (TEM_ shows that hphi TiO2 preferentially locates inside the PET droplets and hpho at both the interface and PP matrix. HphoM also locates within the PP matrix and at the interface, but large loadings (12%) can completely cover the surfaces of the droplets forming a physical barrier that avoids coalescence, leading to the formation of smaller droplets. A good correlation is found between the crystallization rate of PET (determined by DSC) and nanoParticles Location, where hphi TiO2 induces the highest PET crystallization rate. PET lamellar morphology (revealed by TEM) is also dependent on Particle Location. The mechanical behavior improves in the elastic regime with TiO2 addition, but the plastic deformation of the material is limited and strongly depends on the type of TiO2 employed.Peer ReviewedPostprint (published version

Matxinandiarena Eider - One of the best experts on this subject based on the ideXlab platform.

  • The effect of titanium dioxide surface modification on the dispersion, morphology, and mechanical properties of recycled PP/PET/TiO2 PBNANOs
    2019
    Co-Authors: Matxinandiarena Eider, Múgica Agurtzane, Zubitur Manuela, Yus Cristina, Sebastián Víctor, Irusta Silvia, Loaeza, Alfonso David, Santana Orlando, Maspoch, Maria Lluisa, Puig Cristian
    Abstract:

    Titanium dioxide (TiO2) nanoParticles have recently appeared in PET waste because of the introduction of opaque PET bottles. We prepare polymer blend nanocomposites (PBNANOs) by adding hydrophilic (hphi), hydrophobic (hpho), and hydrophobically modified (hphoM) titanium dioxide (TiO2) nanoParticles to 80rPP/20rPET recycled blends. Contact angle measurements show that the degree of hydrophilicity of TiO2 decreases in the order hphi > hpho > hphoM. A reduction of rPET droplet size occurs with the addition of TiO2 nanoParticles. The hydrophilic/hydrophobic balance controls the nanoParticles Location. Transmission electron microscopy (TEM_ shows that hphi TiO2 preferentially locates inside the PET droplets and hpho at both the interface and PP matrix. HphoM also locates within the PP matrix and at the interface, but large loadings (12%) can completely cover the surfaces of the droplets forming a physical barrier that avoids coalescence, leading to the formation of smaller droplets. A good correlation is found between the crystallization rate of PET (determined by DSC) and nanoParticles Location, where hphi TiO2 induces the highest PET crystallization rate. PET lamellar morphology (revealed by TEM) is also dependent on Particle Location. The mechanical behavior improves in the elastic regime with TiO2 addition, but the plastic deformation of the material is limited and strongly depends on the type of TiO2 employed

  • The effect of titanium dioxide surface modification on the dispersion, morphology, and mechanical properties of recycled PP/PET/TiO2 PBNANOs
    'MDPI AG', 2019
    Co-Authors: Matxinandiarena Eider, Múgica Agurtzane, Zubitur Manuela, Loaeza Becerril, Alfonso David, Santana Pérez, Orlando Onofre, Maspoch, Maria Lluisa
    Abstract:

    Titanium dioxide (TiO2) nanoParticles have recently appeared in PET waste because of the introduction of opaque PET bottles. We prepare polymer blend nanocomposites (PBNANOs) by adding hydrophilic (hphi), hydrophobic (hpho), and hydrophobically modified (hphoM) titanium dioxide (TiO2) nanoParticles to 80rPP/20rPET recycled blends. Contact angle measurements show that the degree of hydrophilicity of TiO2 decreases in the order hphi > hpho > hphoM. A reduction of rPET droplet size occurs with the addition of TiO2 nanoParticles. The hydrophilic/hydrophobic balance controls the nanoParticles Location. Transmission electron microscopy (TEM_ shows that hphi TiO2 preferentially locates inside the PET droplets and hpho at both the interface and PP matrix. HphoM also locates within the PP matrix and at the interface, but large loadings (12%) can completely cover the surfaces of the droplets forming a physical barrier that avoids coalescence, leading to the formation of smaller droplets. A good correlation is found between the crystallization rate of PET (determined by DSC) and nanoParticles Location, where hphi TiO2 induces the highest PET crystallization rate. PET lamellar morphology (revealed by TEM) is also dependent on Particle Location. The mechanical behavior improves in the elastic regime with TiO2 addition, but the plastic deformation of the material is limited and strongly depends on the type of TiO2 employed.Peer Reviewe

  • The effect of titanium dioxide surface modification on the dispersion, morphology, and mechanical properties of recycled PP/PET/TiO2 PBNANOs
    'MDPI AG', 2019
    Co-Authors: Matxinandiarena Eider, Múgica Agurtzane, Zubitur Manuela, Loaeza Becerril, Alfonso David, Santana Pérez, Orlando Onofre, Maspoch, Maria Lluisa
    Abstract:

    Titanium dioxide (TiO2) nanoParticles have recently appeared in PET waste because of the introduction of opaque PET bottles. We prepare polymer blend nanocomposites (PBNANOs) by adding hydrophilic (hphi), hydrophobic (hpho), and hydrophobically modified (hphoM) titanium dioxide (TiO2) nanoParticles to 80rPP/20rPET recycled blends. Contact angle measurements show that the degree of hydrophilicity of TiO2 decreases in the order hphi > hpho > hphoM. A reduction of rPET droplet size occurs with the addition of TiO2 nanoParticles. The hydrophilic/hydrophobic balance controls the nanoParticles Location. Transmission electron microscopy (TEM_ shows that hphi TiO2 preferentially locates inside the PET droplets and hpho at both the interface and PP matrix. HphoM also locates within the PP matrix and at the interface, but large loadings (12%) can completely cover the surfaces of the droplets forming a physical barrier that avoids coalescence, leading to the formation of smaller droplets. A good correlation is found between the crystallization rate of PET (determined by DSC) and nanoParticles Location, where hphi TiO2 induces the highest PET crystallization rate. PET lamellar morphology (revealed by TEM) is also dependent on Particle Location. The mechanical behavior improves in the elastic regime with TiO2 addition, but the plastic deformation of the material is limited and strongly depends on the type of TiO2 employed.Peer ReviewedPostprint (published version

Daniel R Guildenbecher - One of the best experts on this subject based on the ideXlab platform.

  • development and uncertainty characterization of 3d Particle Location from perspective shifted plenoptic images
    Optics Express, 2019
    Co-Authors: Elise M Hall, Daniel R Guildenbecher, Brian S Thurow
    Abstract:

    This work details the development of an algorithm to determine 3D position and in plane size and shape of Particles by exploiting the perspective shift capabilities of a plenoptic camera combined with stereo-matching methods. This algorithm is validated using an experimental data set previously examined in a refocusing based Particle Location study in which a static Particle field is translated to provide known depth displacements at varied magnification and object distances. Examination of these results indicates increased accuracy and precision is achieved compared to a previous refocusing based method at significantly reduced computational costs. The perspective shift method is further applied to fragment localization and sizing in a lab scale fragmenting explosive.

  • uncertainty characterization of Particle Location from refocused plenoptic images
    Optics Express, 2017
    Co-Authors: Elise M Hall, Daniel R Guildenbecher, Brian S Thurow
    Abstract:

    Plenoptic imaging is a 3D imaging technique that has been applied for quantification of 3D Particle Locations and sizes. This work experimentally evaluates the accuracy and precision of such measurements by investigating a static Particle field translated to known displacements. Measured 3D displacement values are determined from sharpness metrics applied to volumetric representations of the Particle field created using refocused plenoptic images, corrected using a recently developed calibration technique. Comparison of measured and known displacements for many thousands of Particles allows for evaluation of measurement uncertainty. Mean displacement error, as a measure of accuracy, is shown to agree with predicted spatial resolution over the entire measurement domain, indicating robustness of the calibration methods. On the other hand, variation in the error, as a measure of precision, fluctuates as a function of Particle depth in the optical direction. Error shows the smallest variation within the predicted depth of field of the plenoptic camera, with a gradual increase outside this range. The quantitative uncertainty values provided here can guide future measurement optimization and will serve as useful metrics for design of improved processing algorithms.

  • digital holography simulations and experiments to quantify the accuracy of 3d Particle Location and 2d sizing using a proposed hybrid method
    Applied Optics, 2013
    Co-Authors: Daniel R Guildenbecher, Jian Gao, Phillip L Reu, J. Chen
    Abstract:

    The accuracy of digital in-line holography to detect Particle position and size within a 3D domain is evaluated with particular focus placed on detection of nonspherical Particles. Dimensionless models are proposed for simulation of holograms from single Particles, and these models are used to evaluate the uncertainty of existing Particle detection methods. From the lessons learned, a new hybrid method is proposed. This method features automatic determination of optimum thresholds, and simulations indicate improved accuracy compared to alternative methods. To validate this, experiments are performed using quasi-stationary, 3D Particle fields with imposed translations. For the spherical Particles considered in experiments, the proposed hybrid method resolves mean Particle concentration and size to within 4% of the actual value, while the standard deviation of Particle depth is less than two Particle diameters. Initial experimental results for nonspherical Particles reveal similar performance.