Infrared Imaging of Cotton Fiber Bundles Using a Focal Plane Array Detector and a Single Reflectance Accessory

Cintrón, Michael Santiago; Montalvo, Joseph G.; Hoven, Terri Von; Rodgers, James; Hinchliffe, Doug J.; Madison, Crista; Thyssen, Gregory N.; Zeng, Linghe

doi:10.3390/fib4040027

Cited by 7 publications

(7 citation statements)

References 30 publications

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“…Figure 6C represents the cotton in the mixture integrating over 1172-919 cm −1 in the fingerprint region and over 2991-2793 cm −1 , highlighting the blue tarp towards the left and right in the image. The blue tarp had the characteristic polyethylene peaks specifically at 2900-2800 cm −1 representing the C-H band, respectively [18]. In Figure 6E,F, twine and cotton were the mixture.…”

Section: Atr-ftir Chemical Imagesmentioning

confidence: 90%

“…To enhance the signal to noise ratio, an averaging technique was applied to the data known as binning, as previously reported in the literature by Santiago Cintrón and co-workers [18]. Herein, the spectra were placed into pixel groups.…”

Section: Atr-ftir Imaging and Binningmentioning

confidence: 99%

“…A different study demonstrated the practicality of using ATR-FTIR imaging to identify pure cotton trash types [17]. In addition, Santiago Cintrón and co-workers demonstrated the utility of applying ATR-FTIR imaging to study secondary cell wall development in cotton fiber bundles using a focal plane array detector [18]. This report utilized a binning technique which enhanced the signal to noise ratio of spectra and chemical images.…”

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confidence: 99%

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Fourier-Transform Imaging of Cotton and Botanical and Field Trash Mixtures

Fortier

Cintrón

Rodgers

et al. 2017

Fibers

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Botanical and field cotton trash comingled with Upland cotton lint can greatly reduce the marketability and quality of cotton. Trash found comingled with cotton lint during harvesting, ginning, and processing is of interest to the textile community. In the current study attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopic imaging was employed as an analytical technique to analyze cotton trash. Some benefits of this technique were its non-destructive nature and lack of required sample preparation. The technique used in this study, specifically ATR-FTIR spectroscopic chemical imaging, allows for three-dimensional spectral and spatial data to be obtained. In the current study, cotton in mixtures with botanical and field trash types have been identified spectrally and spatially using ATR-FTIR imaging. Botanical trash types (trash derived from the cotton plant) were evaluated and identified independently from cotton, even though both contained cellulose. The field trash types were easily identified from cotton due to their differences in chemical composition. This study can complement current cotton qualitative studies by adding spectral and spatial information to sample analysis.

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Section: Atr-ftir Chemical Imagesmentioning

confidence: 90%

Section: Atr-ftir Imaging and Binningmentioning

confidence: 99%

mentioning

confidence: 99%

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Fourier-Transform Imaging of Cotton and Botanical and Field Trash Mixtures

Fortier

Cintrón

Rodgers

et al. 2017

Fibers

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“…Recent studies have explored the use of a mid-IR focal plane array (FPA) detector in the FTIR examination of cotton samples. 21,22 Array-type detectors are capable of examining multiple points in a sample simultaneously. 23 This type of examination allows for the easy creation of infrared chemical images, spatially-resolved visual images that provide a sense of the composition and distribution of a sample.…”

Section: Introductionmentioning

confidence: 99%

Examination of Fabric Chemical Treatment Uniformity using a Mid-IR Focal Plane Array Detector

Cintrón

Hoven

Fontenot

et al. 2019

AATCC Journal of Research

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A macro sampling chamber equipped with mid-infrared (IR) focal plane array (FPA) detector was used to examine chemical treatments of cotton fabrics. Conventional IR methods typically examine individual points in a sample, while the FPA detector provides spatially resolved spectra that can corroborate chemical treatment and its distribution on the cotton fabric. Characterizations of three distinct treatments are presented: non-durable treatments of N, N-diethyl-3-methylbenzamide (DEET), an active ingredient in commercially available insect repellents, a phosphazine-based fire retardant, and fabric treated with deuterated water. All chemical treatments examined in this study exhibited distinct vibrational bands that could be used as markers of the fabric treatments. Our results suggest that the mid-IR FPA detector can be used to characterize fabric treatment uniformity and provide qualitative confirmation of fabric chemical treatment.

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“…These methods can provide different results based on the material and the type of defect. NDE using active infrared thermography has been applied successfully to different materials, including carbon fibre-reinforced composites [ 6 ], steel [ 7 ], aluminium [ 8 ], walls [ 9 ], concrete [ 10 ] or cotton fibres [ 11 ], just to name a few.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive Evaluation of Carbon Fiber Bicycle Frames Using Infrared Thermography

Usamentiaga

Ibarra‐Castanedo

Klein³

et al. 2017

Sensors

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Bicycle frames made of carbon fibre are extremely popular for high-performance cycling due to the stiffness-to-weight ratio, which enables greater power transfer. However, products manufactured using carbon fibre are sensitive to impact damage. Therefore, intelligent nondestructive evaluation is a required step to prevent failures and ensure a secure usage of the bicycle. This work proposes an inspection method based on active thermography, a proven technique successfully applied to other materials. Different configurations for the inspection are tested, including power and heating time. Moreover, experiments are applied to a real bicycle frame with generated impact damage of different energies. Tests show excellent results, detecting the generated damage during the inspection. When the results are combined with advanced image post-processing methods, the SNR is greatly increased, and the size and localization of the defects are clearly visible in the images.

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Infrared Imaging of Cotton Fiber Bundles Using a Focal Plane Array Detector and a Single Reflectance Accessory

Cited by 7 publications

References 30 publications

Fourier-Transform Imaging of Cotton and Botanical and Field Trash Mixtures

Fourier-Transform Imaging of Cotton and Botanical and Field Trash Mixtures

Examination of Fabric Chemical Treatment Uniformity using a Mid-IR Focal Plane Array Detector

Nondestructive Evaluation of Carbon Fiber Bicycle Frames Using Infrared Thermography

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