This invention relates generally to additive manufacturing (AM) and, in particular, to a smart AM system that uses an improved, co-axial laser/sensor path smart optical monitoring system (SOMS).
Additive manufacturing (AM) has been hailed as the “third industrial revolution” by Economist magazine (April 2012). Additive Manufacturing (AM) builds up a material to suit the service performance in a layer by layer, or even pixel by pixel with appropriate materials to match the performance, which will enhance the productivity and thus reduce energy consumption. Flexibility and capability of producing near net shape critical components directly from Computer Aided Design (CAD) is partly responsible for its attraction.
There is wide spectrum of processes under the umbrella of Additive manufacturing. For metallic components two main types are: Powder-bed-based processes, such as Selective Laser Sintering (SLS), and pneumatically delivered powder-based processes such as Direct Metal Deposition (DMD). Both processes have their relative strength and weaknesses. One common problem is that post process quality assurance is not adequate. However, on-line diagnostics and process control have the tremendous potential to reduce waste, cost and conserve energy. This offers a unique opportunity to take corrective action during AM—layer by layer, if not pixel by pixel.
This invention improves upon laser-based additive manufacturing (AM) in general, and direct-metal deposition (DMD) in particular by providing an improved smart optical monitoring system (SOMS) and method. An additive manufacturing system according to the invention includes a laser outputting a beam of light onto work piece so as to form a melt pool with a laser-generated plasma plume, and a spectrometer operative to collect emission spectra along an optical axis from the laser-generated plasma plume. However, unique to the invention, the laser beam and the optical axis of the emission spectra are co-axial, at least in the vicinity of the melt pool, thereby minimizing the fluctuation of spectral signals caused by ambient pressure/gas variations.
In accordance with a preferred embodiment, the laser beam passes through a beam splitter prior to reaching the work piece, the emission spectra from the work piece are redirected by the beam splitter to the spectrometer, and the laser beam and the optical axis of the emission spectra are co-axial between the work piece and the beam splitter. The beam splitter may be a dichroic mirror or other type of beam splitter, including holographic beam splitters, and spectral filtering may be carried out with separate optical elements, as long as the overall goal of on-axis excitation and collection is achieved.
The beam splitter may be fabricated or selected to function as a short-pass or as a long-pass filter based on the type of material comprising the work piece or a desired wavelength range of the emission spectra. An optical element disposed between the beam splitter and the melt pool may be used to focus the laser beam onto the work piece and/or to collimate the on-axis spectra collected from the laser-induced plume.
The additive manufacturing system may comprise a laser or arc welding system, a powder-bed fusion (PBF) system or other type of DMD system.
To increase the accuracy of additive manufacturing (AM) in general, and direct-metal deposition (DMD); directed-energy deposition (DED); and powder-bed deposition systems in particular, a spectroscopic sensor may be used to achieve a Smart Optical Monitoring System (SOMS). This equipment, shown in
SOMS uses optical emission spectroscopy to improve manufacturing quality to achieve no-defect product throughput in metal manufacturing processes, especially laser/arc welding and additive manufacturing (AM) processes. SOMS has the ability to perform in-situ characterization of defects such as porosity, composition, and phase transformation for fabrication processes using emitted light without any physical contact.
Atomic-level information unraveling, and mechanical and chemical condition of the product are also provided by SOMS. Spectroscopic sensors exhibit remarkable immunity to both electromagnetic interference and background acoustic noises associated with the fabrication processes.
In SOMS, an optical collimator collects the plasma plume emission from the processing zone and sends the signal to a spectrometer for signal processing. The spectrometer has a tunable optical attenuator to adjust the signal intensity to avoid saturation. The plasma spectra obtained from the spectrometer are analyzed in a signal processing unit, where mechanisms on how different defects, composition and phase transformation affect the plasma characterization are analyzed. A refined signal processing algorithm is used to detect and categorize different defects, analyze composition and phase transformation and predict the cause of these changes.
Some AM systems require processing under specific ambient environments (inert gas or near vacuum). It is noted that the laser-generated plasma plume size varies depending on the type of ambient gas and pressure, as shown in
In minimizing the fluctuation of spectral signals caused by ambient pressure/gas variation, machine-trained SOMS data needs to be properly captured and executed. Indeed, it has been discovered that the plasma spectrum intensity measured by the spectrometer may vary due to sensor orientation and/or angle. However, it has also been found that the consistency of the spectral signals can be maintained through proper sensor orientation. In broad and general terms, to minimize the influence of motion variation and sensor orientation to sensor signal intensity during SOMS, this invention uses a co-axial arrangement of the sensor with respect to the laser plasma plume.
A co-axial set-up of the SOMS sensor with respect to optical train inside the laser head is shown in
In the embodiment shown, the spectroscopic signals are acquired by way of a dichroic mirror to the SOMS sensor. The selection of dichroic mirror (short-pass or long-pass) is dependent on the types of material (metals or polymers) to be processed and atomic data (strong lines or persistent lines) of major elements to be detected as shown in
As an example of SOMS sensor set-up with a commercially available laser head, co-axial sensing through optics train can be done, as shown in
This application claims priority to and the benefit of U.S. Provisional Patent Application Ser. No. 62/898,617, filed Sep. 11, 2019, the entire content of which is incorporated herein by reference.
Number | Date | Country | |
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62898617 | Sep 2019 | US |