Abstract: This disclosure generally relates to rheological property measurements/estimation for fluidic materials and is specifically directed to methods and systems for automatic and high-throughput estimation of rheological properties via videography of visually observable tests and neural-network processing. The high throughput may be achieved via parallel testing. The disclosed methods and systems provide an economical approach to estimating rheological properties with reasonable prediction accuracy based on visual observables without relying on expensive and complex rheometric setup and equipment.

Abstract: Various embodiments may involve receiving, from a client device, a query including an image of at least a section of a manufactured part; determining, based on executing a neural network on the image, a fabrication source of the manufactured part, wherein the neural network was trained to associate images of manufactured parts with corresponding indicators of fabrication sources of the manufactured parts; and in response to determining the fabrication source of the manufactured part, transmitting, to the client device, a response indicating the fabrication source.

Abstract: Various embodiments may involve obtaining an image of at least a section of a manufactured part; determining, based on executing a neural network on the image, an inferred manufacturing machine that fabricated the manufactured part from a plurality of manufacturing machines, wherein the neural network was trained to associate images of manufactured parts with corresponding indicators of the manufacturing machines with which the manufactured parts were fabricated; determining that the inferred manufacturing machine does not match a presumed manufacturing machine of the manufactured part; and in response to determining that the inferred manufacturing machine does not match the presumed manufacturing machine, generating an electronic alert indicating that a failure has occurred relating to fabrication of the manufactured part.

Abstract: Various embodiments may involve obtaining an image of at least a section of a manufactured part; determining, based on executing a neural network on the image, that the manufactured part was not fabricated according to a specification for the manufactured part, wherein the neural network was trained to associate images of manufactured parts with corresponding indicators of specifications for the manufactured parts; and, in response to determining that the manufactured part was not fabricated according to the specification, generating an electronic alert indicating that the manufactured part was improperly fabricated.

Abstract: Various embodiments may involve obtaining an image of at least a section of a manufactured part; determining, based on executing a neural network on the image, that the manufactured part was not fabricated according to a specification for the manufactured part, wherein the neural network was trained to associate images of manufactured parts with corresponding indicators of specifications for the manufactured parts; and, in response to determining that the manufactured part was not fabricated according to the specification, generating an electronic alert indicating that the manufactured part was improperly fabricated.

Abstract: The present disclosure provides a device and method for producing low-frequency magnetic-field signals to enable long-range wireless communication through conductive media. The magnetic-field signals can be generated by mechanically moving permanent magnets. In some examples, transmitters are capable of transmitting signals in the ultra-low and very-low frequency ranges (e.g., 100 Hz-30 kHz), utilizing a small amount of power.

Abstract: The present disclosure provides a device and method for producing low-frequency magnetic-field signals to enable long-range wireless communication through conductive media. The magnetic-field signals can be generated by mechanically moving permanent magnets. In some examples, transmitters are capable of transmitting signals in the ultra-low and very-low frequency ranges (e.g., 100 Hz-30 kHz), utilizing a small amount of power.

Abstract: Nanostructured assemblies are manufactured by condensing an evaporated wetting agent onto a nanostructure array formed from a plurality of generally aligned carbon nanotubes or other nanostructures. The condensed wetting agent draws the individual nanostructures together to form various geometries of nanostructured assemblies based on various parameters including process variables and the starting shape and dimensional features of the nanostructure array. Various simple and complex geometries can be achieved in this manner, including geometries that are curved, bent, or twisted. Adjacent nanostructure arrays of the same or different starting geometries can be shaped into compound or interrelating structures. Additional process steps such as plasma etching, coating and others can be used to control the shaping and structural attributes of the nanostructured assemblies. A method of making a molded replica of a shaped nanostructure array is also disclosed.

Abstract: A method and apparatus for transforming vertically-aligned nanostructures into densified, horizontally-aligned arrays. A contact element such as a roller is used to topple an array of carbon nanotubes or other nanostructures by drawing or rolling the contact element across the surface of the substrate such that the vertically-aligned nanostructures are forced into at least partial horizontal-alignment while being densified to give the transformed array enhanced properties. The contact element engages the nanostructures at a location below their upper distal end to topple and densify the array without disrupting the relative alignment of the individual nanostructures in the array. Transfer printing of the nanostructures is also provided.

Abstract: Nanostructured assemblies are manufactured by condensing an evaporated wetting agent onto a nanostructure array formed from a plurality of generally aligned carbon nanotubes or other nanostructures. The condensed wetting agent draws the individual nanostructures together to form various geometries of nanostructured assemblies based on various parameters including process variables and the starting shape and dimensional features of the nanostructure array. Various simple and complex geometries can be achieved in this manner, including geometries that are curved, bent, or twisted. Adjacent nanostructure arrays of the same or different starting geometries can be shaped into compound or interrelating structures. Additional process steps such as plasma etching, coating and others can be used to control the shaping and structural attributes of the nanostructured assemblies. A method of making a molded replica of a shaped nanostructure array is also disclosed.

Abstract: A method and apparatus for transforming vertically-aligned nanostructures into densified, horizontally-aligned arrays. A contact element such as a roller is used to topple an array of carbon nanotubes or other nanostructures by drawing or rolling the contact element across the surface of the substrate such that the vertically-aligned nanostructures are forced into at least partial horizontal-alignment while being densified to give the transformed array enhanced properties. The contact element engages the nanostructures at a location below their upper distal end to topple and densify the array without disrupting the relative alignment of the individual nanostructures in the array. Transfer printing of the nanostructures is also provided.