Abstract:
An additive manufacturing system comprising at least one electronic nose (e-nose) is provided. The e-nose may comprise a housing and gas sensors. The housing may have an air channel. The active sensor portion of the sensors are positioned in the air channel. The housing may be mounted to an extruder head of an additive manufacturing device. The system may also comprise a processor. The processor may determine whether there is an abnormality in an additive manufacturing process based on one or more combinations of outputs from the gas sensors received during the additive manufacturing process input into a deployed machine learning model; and generate a report for the additive manufacturing process containing the determination.
Abstract:
The present invention, in one embodiment, provides a method of measuring pressure or temperature using a sensor including a sensor element composed of a plurality of carbon nanotubes. In one example, the resistance of the plurality of carbon nanotubes is measured in response to the application of temperature or pressure. The changes in resistance are then recorded and correlated to temperature or pressure. In one embodiment, the present invention provides for independent measurement of pressure or temperature using the sensors disclosed herein.
Abstract:
Graphene reinforced materials and related methods of manufacture are provided. The graphene reinforced materials include graphene sheet or scroll, graphene-polymer sheet or scroll, and graphene-carbon sheet or scroll, each having material properties that are attractive across a broad range of applications and industries. The graphene reinforced materials generally include monolayer or multilayer graphene that is synthesized by annealing a catalyst substrate within a CVD chamber, introducing a hydrocarbon gas as a carbon source with the CVD chamber to form a layer of graphene on the catalyst substrate, detaching the catalyst substrate from the layer of graphene, and rolling the layer of graphene onto itself to form a scroll, optionally with the addition of a polymer layer or carbonized layer on the graphene layer.
Abstract:
The invention is directed to a method for producing metal-containing particles, the method comprising subjecting an aqueous solution comprising a metal salt, Eh, lowering reducing agent, pH adjusting agent, and water to conditions that maintain the Eh value of the solution within the bounds of an Eh-pH stability field corresponding to the composition of the metal-containing particles to be produced, and producing said metal-containing particles in said aqueous solution at a selected Eh value within the bounds of said Eh-pH stability field. The invention is also directed to the resulting metal-containing particles as well as devices in which they are incorporated.
Abstract:
The invention is directed to a method for producing metal-containing (e.g., non-oxide, oxide, or elemental) nano-objects, which may be nanoparticles or nanowires, the method comprising contacting an aqueous solution comprising a metal salt and water with an electrically powered electrode to form said metal-containing nano-objects dislodged from the electrode, wherein said electrode possesses a nanotextured surface that functions to confine the particle growth process to form said metal-containing nano-objects. The invention is also directed to the resulting metal-containing compositions as well as devices in which they are incorporated.
Abstract:
The present invention, in one embodiment, provides a method of measuring pressure or temperature using a sensor including a sensor element composed of a plurality of carbon nanotubes. In one example, the resistance of the plurality of carbon nanotubes is measured in response to the application of temperature or pressure. The changes in resistance are then recorded and correlated to temperature or pressure. In one embodiment, the present invention provides for independent measurement of pressure or temperature using the sensors disclosed herein.
Abstract:
Systems and methods for synthesizing continuous graphene sheets are provided. The systems and methods include passing a catalyst substrate through a heated chemical vapor deposition chamber and exposing the substrate to a reaction gas mixture of hydrogen and hydrocarbon at a preselected location within the chamber. The reaction gas mixture can include hydrogen having a partial pressure of between about 0 Torr and 20 Torr, hydrocarbon having a partial pressure of between about 20 mTorr and about 10 Torr, and one or more buffer gases. The buffer gases can include argon or other noble gases to maintain atmospheric pressure within the chemical deposition chamber. The resulting graphene can be made with continuous mono and multilayers (up to six layers) and have single crystalline hexagonal grains with a preselected nucleation density and domain size for a range of applications.
Abstract:
A scalable method of synthesizing hexagonal boron nitride (hBN) films and nanotubes by chemical vapor deposition (CVD) is provided. The method includes atmospheric pressure CVD of hBN on metallic growth substrates using solid boron sources and molecular nitrogen. The solid boron source can be in the form of powder, fragments, or platelets and placed upstream, on top, or below the growth substrate. The growth substrate can include Fe, Ni, Cr, Cu, and their alloys including various steels. The growth atmosphere includes nitrogen compounds, inert gases and hydrogen. The reaction can occur within a reaction vessel heated to 800° C.-1200° C. in less than 120 minutes with sequential cooling at a controlled rate. In laboratory testing, the hBN film exhibited improved protection against harsh corrosion over long periods and resistance to high-temperature oxidation in air.
Abstract:
A system for predicting one or more analytes based on outputs from thin film gas sensors is provided. The system may comprise an electronic nose (e-nose). The e-nose may comprise the gas sensors and a first processor. The system may further comprise a second processor. The second processor may be configured to receive the output from each of the gas sensors, evaluate a prediction accuracy using an evaluation parameter of each of a plurality of models which are trained and tested and select a model from among the plurality of models to deploy based on a comparison of the evaluation parameter for each of the plurality of models and use the same. The second processor may also receive, an output of each of the gas sensors caused by unknown one or more analytes; and predict, using the deployed model, the one or more analytes that causes the output.
Abstract:
An additive manufacturing system comprising at least one electronic nose (e-nose) is provided. The e-nose may comprise a housing and gas sensors. The housing may have an air channel. The active sensor portion of the sensors are positioned in the air channel. The housing may be mounted to an extruder head of an additive manufacturing device. The system may also comprise a processor. The processor may determine whether there is an abnormality in an additive manufacturing process based on one or more combinations of outputs from the gas sensors received during the additive manufacturing process input into a deployed machine learning model; and generate a report for the additive manufacturing process containing the determination.