A particle sensor is described. The particle sensor includes a laser module having a laser, and a detector configured to detect thermal radiation. The particle sensor has an optical apparatus that is configured to focus laser light proceeding from the laser module into a first spot and is configured to focus thermal radiation proceeding from the first spot into a second spot, a radiation-sensitive surface of the detector being located in the second spot, or behind the second spot in the beam path of the thermal radiation focused onto the second spot.

Methods and apparatuses for manufacturing are disclosed, including (a) providing an apparatus having: a laser; scanner; powder injection system; powder spreading system; dichroic filter; imager-and-processor; and computer; (b) programming the computer with specifications of a sample; (c) using the computer to set initial parameters based on the sample specifications; (d) adjusting a stage to position the sample; (e) focusing and scanning electromagnetic radiation onto the sample while powder is concurrently injected onto the sample in order to deposit a layer; (f) capturing two-dimensional images of the sample and probing the sample to determine whether the deposited layer was manufactured per the specifications; (g) use the computer to adjust the three-dimensional manufacturing parameters based on the determination made in step (f) prior to additively manufacturing a subsequent layer or making repairs; and (h) repeating steps (d), (e), (f), and (g) until the manufacture is complete. Other embodiments are described and claimed.

Apparatus for laser induced ablation spectroscopy (LIBS) is disclosed. An apparatus can have a computer, a pulsed laser and a lightguide fiber bundle that is subdivided into branches. One branch can convey a first portion of the light to a first optical spectrometer and a different branch can convey a second portion of the light to another optical spectrometer. The first spectrometer can be relatively wideband to analyze a relative wide spectral segment and the other spectrometer can be high dispersion to measure minor concentrations. The apparatus can further comprise an unbranched lightguide fiber bundle to provide more light to a low sensitivity spectrometer. The apparatus can include an inductively coupled plasma mass spectrometer ICP-MS and a computer instructions operable to provide normalized LIBS/ICP-MS composition analyses.

A component treatment processes and treated gas turbine components are disclosed. The gas turbine treatment process includes laser-removing coating from a substrate of a turbine component to form laser-induced plasma, spectroscopically analyzing the laser-induced plasma, and discontinuing the laser-removing in response to the spectroscopic analyzing. The treated gas turbine component includes a laser-affected surface, the laser-affected surface having one or both of modified dimensions and modified microstructure due to being exposed to the laser-removing of the coating. The laser-affected surface has a depth corresponding to the laser-removing being discontinued based upon the spectroscopic analyzing of the laser-induced plasma formed from the laser-removing.

Apparatus and methods for laser ablation sampling, electrophoretic extraction from the laser plume, electrophoretic transport to a container, and capture of macromolecules of interest. In certain embodiments, when macromolecules of interest are nucleic acid, the apparatus and methods further provides for nucleic acid amplification and detection in a rapid mobile platform for environmental and clinical identification of pathogens.

Various embodiments of the teachings herein include a method for determining a radiation intensity and/or a wavelength of a process light, wherein the melt pool underlying the process light can be generated by irradiating a metal material with an energy beam along a path, wherein the energy beam can be moved in accordance with a power profile along the path. The method may include: providing a power profile for a section of the path as an input variable for a machine learning model; training the model using historical and/or synthetic power profiles and associated historical or synthetic radiation intensities and/or wavelengths of the process light for the metal material; and determining the radiation intensity and/or the wavelength of the process light as an output variable of the model.

According to an example embodiment, a detector assembly for use in analysis of elemental composition of a sample by using optical emission spectroscopy is provided, the detector assembly including a rotatable element that is rotatable about an axis and that has attached thereto a laser source for generating laser pulses for invoking optical emission on a surface of the sample, the laser source arranged to generate laser pulses focused at a predefined distance from said axis at a predefined distance from a front end of the detector assembly, and a detector element for capturing optical emission invoked by said laser pulses.

This disclosure describes various system and methods for monitoring photons emitted by a heat source of an additive manufacturing device. Sensor data recorded while monitoring the photons can be used to predict metallurgical, mechanical and geometrical properties of a part produced during an additive manufacturing operation. In some embodiments, a test pattern can be used to calibrate an additive manufacturing device.

This disclosure describes various system and methods for monitoring photons emitted by a heat source of an additive manufacturing device. Sensor data recorded while monitoring the photons can be used to predict metallurgical, mechanical and geometrical properties of a part produced during an additive manufacturing operation. In some embodiments, a test pattern can be used to calibrate an additive manufacturing device.

According to an embodiment of the present disclosure, there is provided a laser spectroscopy-based independent device, including: a spectrometer configured to measure a spectrum of generated light which is generated by a laser projected onto a sample; and a disease analysis module configured to determine whether there is lesion tissue by applying a lesion tissue detection learning model to a result of non-discrete spectrum measurement, which is measured by the spectrometer, wherein the spectrometer is configured to measure spectra of all generated light that is generated from a time when the laser is projected onto the sample.