A laser machining device includes a laser light source, a spatial light modulator which includes a display unit, an objective lens, an image-transfer optical system, a camera and a controller. The controller executes first display processing and second display processing. According to first display processing, when the camera captures the image, the display unit displays a first phase pattern for adjusting a condensing position of laser light condensed by the objective lens to a first condensing position. According to second display processing, when the camera captures the image, the display unit displays a second phase pattern for adjusting the condensing position of the laser light condensed by the objective lens to a second condensing position different from the first condensing position in an irradiation direction of the laser light.

A laser machining device includes a laser light source, a spatial light modulator which includes a display unit, an objective lens, an image-transfer optical system, a camera and a controller. The controller executes first display processing and second display processing. According to first display processing, when the camera captures the image, the display unit displays a first phase pattern for adjusting a condensing position of laser light condensed by the objective lens to a first condensing position. According to second display processing, when the camera captures the image, the display unit displays a second phase pattern for adjusting the condensing position of the laser light condensed by the objective lens to a second condensing position different from the first condensing position in an irradiation direction of the laser light.

An apparatus calibrates a laser processing machine and includes an imaging sensor and a controller. The controller directs output of a beam from the machine’s low power pointer laser and directs an actuator at measurement conditions. Images of the beam are obtained by an imaging sensor, and the controller measures a parameter of at least one of the machine’s optical components. The controller then outputs an indication of the machine indicative of the measured parameter. For example, the controller can calculate a focus position of the beam from the laser head so the Z-position of the laser head can be adjusted for any discrepancies. In other examples, the controller can determine an offset of the fiber tip of the head so adjustments to operations can be made, or the controller can determine centering of the beam in the head’s nozzle so adjustments can be made.

A calibration method for a laser processing robot, including: fixing a jig that includes a target-site to a base of the laser processing robot; placing a laser processing tool at a position where a laser beam is scanned with respect to the target-site, the laser processing tool having a function for two-dimensionally scanning the laser beam and a function for receiving the laser beam reflected at an object and for measuring a distance to the object; measuring distances to respective portions of the target-site by scanning the laser beam; calculating a coordinate transformation function for converting a position and orientation of the target-site, which is obtained based on the measured distances to the respective portions of the target-site, into an actual position and orientation of the target-site; and correcting a tool-center-point of the laser processing tool by the coordinate transformation function.

A machine learning device performs machine learning on a laser machine including a plurality of galvanometer mirrors for reflection of a laser beam and a plurality of galvanometer motors for driving the galvanometer mirrors to rotate, and scanning the laser beam over a workpiece. The machine learning device includes: input data acquisition unit that acquires at least two detected temperatures from the galvanometer mirrors and the galvanometer motors as input data; label acquisition unit that acquires a coefficient as a label for calculating a machining target position from an actual position of machining with the laser beam on the workpiece; and learning unit that performs supervised learning using a set of the label and the input data as training data to construct a mathematical model for calculating the machining target position from the actual machining position on the workpiece based on the at least two detected temperatures.

A machine learning device performs machine learning on a laser machine including a plurality of galvanometer mirrors for reflection of a laser beam and a plurality of galvanometer motors for driving the galvanometer mirrors to rotate, and scanning the laser beam over a workpiece. The machine learning device includes: input data acquisition unit that acquires at least two detected temperatures from the galvanometer mirrors and the galvanometer motors as input data; label acquisition unit that acquires a coefficient as a label for calculating a machining target position from an actual position of machining with the laser beam on the workpiece; and learning unit that performs supervised learning using a set of the label and the input data as training data to construct a mathematical model for calculating the machining target position from the actual machining position on the workpiece based on the at least two detected temperatures.

The present disclosure various apparatuses, and systems for 3D printing. The present disclosure provides three-dimensional (3D) printing methods, apparatuses, software and systems for a step and repeat energy irradiation process; controlling material characteristics and/or deformation of the 3D object; reducing deformation in a printed 3D object; and planarizing a material bed.

The present disclosure various apparatuses, and systems for 3D printing. The present disclosure provides three-dimensional (3D) printing methods, apparatuses, software and systems for a step and repeat energy irradiation process; controlling material characteristics and/or deformation of the 3D object; reducing deformation in a printed 3D object; and planarizing a material bed.

An alignment adjuster includes a first holder made of a first material and configured to support an optical element, a first adjuster including a first expandable/contractable section made of a second material different from the first material and configured to rotate the first holder and the optical element around a first axis by adjusting the length of the first expandable/contractable section with the first expandable/contractable section being in contact with the first holder, and a first support member made of the second material and configured to support the first adjuster, and the first adjuster is configured to be capable of adjusting the position where the first expandable/contractable section and the first holder are in contact with each other to be located in a first plane containing a first end section of the first support member and the first axis.

Laser apparatus (10) includes at least: a laser oscillator that emits laser light (LB); reflection mirrors (M1), (M2) that are disposed on an optical path of laser light (LB) and change the optical path; actuators (ACT1), (ACT2) that are respectively coupled to reflection mirrors (M1), (M2) and displace reflection mirrors (M1), (M2); optical axis deviation detector (16) that is disposed to surround the optical path of laser light (LB) and detects an optical axis deviation of laser light (LB); and a controller that drives actuators (ACT1), (ACT2) on the basis of a detection result of optical axis deviation detector (16) to displace reflection mirrors (M1), (M2) and correct the optical axis deviation of laser light (LB).