G01N2021/8411

Method and system for determining a level of a sanding surface preparation of a carbon fiber composite surface prior to a post-processing operation
11806832 · 2023-11-07 · ·

There is provided a quantitative method for determining a level of a sanding surface preparation of a carbon fiber composite surface, prior to the carbon fiber composite surface undergoing a post-processing operation. The quantitative method includes fabricating a ladder panel of levels of sanding correlating to an amount of sanding of sanding surface preparation standards for a reference carbon fiber composite surface of reference carbon fiber composite structure(s); using surface analysis tools to create target values for quantifying the levels of sanding; measuring, with the surface analysis tools, sanding surface preparation location(s) on the carbon fiber composite surface of a test carbon fiber composite structure, to obtain test result measurement(s); comparing the test result measurement(s) to the levels, to obtain test result level(s); determining if the test result level(s) meet the target values; and determining whether the carbon fiber composite surface is acceptable to proceed with the post-processing operation.

METHOD FOR EVALUATING ADHESION RELIABILITY AND HEAT RADIATION PERFORMANCE OF COMPOSITE, AND COMPOSITE

One aspect of the present disclosure is a method for evaluating adhesiveness performance and heat radiation performance of a composite including a porous sintered ceramic component and a semi-cured product of a resin filled into pores of the sintered ceramic component, including a step of emitting ultraviolet rays to the surface of the semi-cured product of the composite; a step of measuring an emission intensity of fluorescence generated from the semi-cured product; and a step of evaluating adhesiveness performance and heat radiation performance of the composite using the value of the emission intensity.

INLINE SCANNING AND CUTTING ASSEMBLY AND METHOD OF OPERATION

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

DUST HOOD HOLD DOWN

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

METHOD AND APPARATUS FOR DETECTING AND REMOVING SAP WOOD AND RAYS

An automated inline rip saw system utilizing x-ray and optical scanning techniques to identify and detect flaws within a piece of wood. The present system may further utilize a precision skewing unit which may reduce or eliminate errors while allowing for precision rip cuts to be performed. Further, the present automated inline rip saw system may utilize multiple independently controlled saw blades to perform precision cuts. Finally, the present inline rip saw system may allow for more accurate detection of flaws or undesirable inclusions within the wood earlier in the wood production process, including the ability to scan for, identify, and remove sap wood from green lumber.

Systems and methods for masterbatch feed control based on color feedback

Systems and methods are provided for controlling a color masterbatch feed rate in production of a manufactured part to match a color of the manufactured part to a target color by adjusting a concentration of masterbatch that is mixed with a raw material and fed into a processing machine for producing the manufactured part. Control of the color masterbatch feed rate is based on optical spectral properties of an in-line manufactured part, a known reference part having the target color, and an algorithm for calculating and adjusting the color masterbatch feed rate.

Flow cell assembly including a fluid swirl chamber and ultrasonic agitation device
11442009 · 2022-09-13 · ·

A flow cell for use with an analytical device having a measurement surface onto which a fluid sample to be measured can be received comprises: a housing comprising an interface for connecting to an analytical device; a fluid chamber provided in the housing, the fluid chamber comprising sidewalls at least partly defining an internal volume for receiving a multiphase fluid sample and an opening arranged so as to provide a multiphase fluid sample received in the internal chamber volume to a measurement surface of an analytical device when the housing is connected to the analytical device; and an agitation device. The agitation device comprises an agitation mechanism adapted to agitate a multiphase fluid sample within the internal volume of the fluid chamber and cause movement of the fluid through and within the opening thereby providing fluid to a measurement surface of an analytical device. The agitation mechanism is separated from the internal volume by a barrier wall.

METHOD AND APPARATUS FOR MONITORING PRODUCTION OF A MATERIAL IN A LIQUID DISPERSION IN REAL TIME

A method for monitoring the production of a material such as graphene in a liquid dispersion in real time, comprises supplying the liquid dispersion to a fluid gap defined between a first layer and an opposed second layer, wherein the first layer is light-transmissive and wherein the second layer has a diffusely reflective surface facing the first layer. The diffusely reflective surface is illuminated with light from a light source and light reflected from the diffusely reflective surface is detected at an associated photodetector. A light path from the light source to the photodetector comprises the light passing through the transmissive layer towards the diffusely reflective surface through the fluid gap, reflecting off the diffusely reflective surface and passing back through the fluid gap towards and onwards through the transmissive layer. The concentration of the material in the liquid dispersion can be determined from the detected reflected light. The fluid gap is typically an integral part of apparatus for producing the material, such as being formed between an inner rotor and an outer casing wall of a liquid exfoliation apparatus.

Kneading device with a detection unit detecting a dispersion degree

A kneading device for dispersing a dispersoid in a dispersion medium includes a casing in which a kneading material containing the dispersion medium and the dispersoid is accommodated, a rotor disposed in the casing and kneading the kneading material while dispersing the dispersoid in the dispersion medium by rotating about a rotation axis, and a detection unit detecting a dispersion degree of the dispersoid in the dispersion medium by observing a state of the kneading material in the casing.

SYSTEM AND METHOD OF OBJECT DETECTION USING AI DEEP LEARNING MODELS
20220284699 · 2022-09-08 ·

A system for object detection of a manufactured part. The system comprises a system controller electronically coupled to an image acquisition device and delivery mechanism. An electronically stored ordered object detection map is provided which comprises predetermined detectable objects associated with the manufactured part. The ordered object detection map is generated from output created by execution of a trained object detection model and by processing such output according to predetermined calibration criteria. The system causing a visual image of the manufactured part to be captured with image data being extracted and processed to render at least one of a pass determination and a fail determination. The system being configured to process the manufactured based upon the rendered pass/fail determination.