Abstract: A filament winding assembly includes a rotating mandrel coupled to a shaft that rotates the rotating mandrel. The rotating mandrel includes a first perforated sleeve that defines holes and includes a winding surface. The rotating mandrel also includes a second perforated sleeve disposed inside the first perforated sleeve. The second perforated sleeve defines an interior volume and holes configured to form fluid pathways with the holes of the first perforated sleeve. The fluid pathways extend from the interior volume to the winding surface of the first perforated sleeve. The filament winding assembly includes a filament that is wound, under tension, around the winding surface of the first perforated sleeve. The filament winding assembly also includes a fluid source fluidically coupled to the interior volume of the second perforated sleeve. The fluid source exhausts fluid, through the fluid pathways, from the wound filament to reduce manufacturing defects of the wound filament.

Abstract: A process for post curing a composite product made from a filament winding process comprises the steps of: surrounding the composite product, that is disposed about a rotatable mandrel, with an outer jacket; and simultaneously rotating and heating the mandrel resulting in post curing of the composite product according to a process that can be referred to as being a combo-semi-centrifugal post curing process.

Abstract: A computer-based method and system for predicting the propagation of cracks along a pipe is provided, wherein successive time-indexed ultrasound images of a pipe surface are captured and digitized. A computer vision algorithm processes the images to identify defects in the pipe, including cracks. At least one blob detection module is used to identify groups of cracks on the pipe surface that have created detectable areas of stress concentration or a prescribed likelihood of crack coalescence or crack cross-influence. The center locations and radial extents of respective blobs are each parametrized as a function of time and pipe surface location by determining parity relationships between successive digital data sets from successive captured images. The determined parity relationships are then used as training data for a machine learning process to train a system implementing the method to predict the propagation of cracks along the pipe.

Abstract: A process for post curing a composite product made from a filament winding process comprises the steps of: surrounding the composite product, that is disposed about a rotatable mandrel, with an outer jacket; and simultaneously rotating and heating the mandrel resulting in post curing of the composite product according to a process that can be referred to as being a combo-semi-centrifugal post curing process.

Abstract: A technological solution for analyzing a sequence of noisy or incoherent ultrasound scan images of an asset that includes a composite material having internal defects or voids and diagnosing a health condition of a section of the asset.

Abstract: A technological solution for analyzing a sequence of ultrasound scan images of an asset and diagnosing a health condition of a section of the asset. The solution includes receiving, by a machine learning platform, an ultrasound scan image of the section of the asset; analyzing, by the machine learning platform, the ultrasound scan image to detect any aberrations in the section; generating, by the machine learning platform, an aberration label for each detected aberration in the section; labeling, by the machine learning platform, the section of the asset with a section condition label; and, rendering, by a display device, the section conditional label. The section condition label can be based on each detected aberration in the section. The section condition label can include at least one of an aberration area ratio, a total number of aberrations, and the aberration label for each detected aberration in the section of the asset.

Abstract: A computer-based method and system for predicting the propagation of cracks along a pipe is provided, wherein successive time-indexed ultrasound images of a pipe surface are captured and digitized. A computer vision algorithm processes the images to identify defects in the pipe, including cracks. At least one blob detection module is used to identify groups of cracks on the pipe surface that have created detectable areas of stress concentration or a prescribed likelihood of crack coalescence or crack cross-influence. The center locations and radial extents of respective blobs are each parametrized as a function of time and pipe surface location by determining parity relationships between successive digital data sets from successive captured images. The determined parity relationships are then used as training data for a machine learning process to train a system implementing the method to predict the propagation of cracks along the pipe.

Abstract: A filament winding assembly includes a rotating mandrel coupled to a shaft that rotates the rotating mandrel. The rotating mandrel includes a first perforated sleeve that defines holes and includes a winding surface. The rotating mandrel also includes a second perforated sleeve disposed inside the first perforated sleeve. The second perforated sleeve defines an interior volume and holes configured to form fluid pathways with the holes of the first perforated sleeve. The fluid pathways extend from the interior volume to the winding surface of the first perforated sleeve. The filament winding assembly includes a filament that is wound, under tension, around the winding surface of the first perforated sleeve. The filament winding assembly also includes a fluid source fluidically coupled to the interior volume of the second perforated sleeve. The fluid source exhausts fluid, through the fluid pathways, from the wound filament to reduce manufacturing defects of the wound filament.

Abstract: A method of measuring a hydrogen diffusivity of a metal structure is provided. The method includes providing a hydrogen charging surface at a first location on an external surface of the structure, and a hydrogen oxidation surface at a second location adjacent to the first location on the external surface of the structure. A hydrogen flux is generated and directed into the metal surface at the charging surface. At least a portion of the hydrogen flux generated by the charging surface and diverted back toward the surface is detected, and a transient of the diverted hydrogen flux is measured. The hydrogen diffusivity of the metal structure is then determined based on the measured transient.

Abstract: A method of measuring a hydrogen diffusivity of a metal structure is provided. The method includes providing a hydrogen charging surface at a first location on an external surface of the structure, and a hydrogen oxidation surface at a second location adjacent to the first location on the external surface of the structure. A hydrogen flux is generated and directed into the metal surface at the charging surface. At least a portion of the hydrogen flux generated by the charging surface and diverted back toward the surface is detected, and a transient of the diverted hydrogen flux is measured. The hydrogen diffusivity of the metal structure is then determined based on the measured transient.