A machine tool machining dimensions prediction device (100) includes: a data collector (10) to acquire driving state information of a machine tool; a feature amount extractor (211) to extract a feature amount from the driving state information; a data analyzer (311) to analyze the extracted feature amount; and a machining quality prediction model generator (312) to generate, from the analyzed information, a prediction model of a machining dimension of a workpiece. The machine tool machining dimensions prediction device (100) applies the feature amount and the driving state information to the prediction model during machining of the workpiece to predict a machining quality and refers to a machining dimension quality regulation to determine whether the machining quality satisfies a standard.

The invention relates to a method for determining the mass and the center of gravity location of a load (10) of a moving system (12), particularly of a machine tool (14), which comprises a support (20) that is for accommodating the load (10) and is able to rotate around a first axis (16) and a second axis (18) as well as electronically controlled drive units (22, 24) for rotating the support (20) around the first axis (16) and around the second axis (18), wherein a total moment of inertia and a holding torque with regard to the first axis (16) are determined in a loaded state; a total moment of inertia and a holding torque with regard to the second axis (18) are determined in the loaded state; and the mass and the center of gravity location of the load (10) relative to the support (20) are determined based on the total moments of inertia and the holding torques with regard to the first axis (16) and second axis (18). The invention also relates to a moving system (12), which is equipped to determine the mass and the center of gravity location of a load (10) according to such a method.

The invention relates to a method for determining the mass and the center of gravity location of a load (10) of a moving system (12), particularly of a machine tool (14), which comprises a support (20) that is for accommodating the load (10) and is able to rotate around a first axis (16) and a second axis (18) as well as electronically controlled drive units (22, 24) for rotating the support (20) around the first axis (16) and around the second axis (18), wherein a total moment of inertia and a holding torque with regard to the first axis (16) are determined in a loaded state; a total moment of inertia and a holding torque with regard to the second axis (18) are determined in the loaded state; and the mass and the center of gravity location of the load (10) relative to the support (20) are determined based on the total moments of inertia and the holding torques with regard to the first axis (16) and second axis (18). The invention also relates to a moving system (12), which is equipped to determine the mass and the center of gravity location of a load (10) according to such a method.

A device for determining a location on an elongated workpiece, characterized in that the device comprises: a frame movable in a first direction, preferably in a longitudinal direction of the workpiece, positioning means to position the frame in relation to the sides of the workpiece, movable means movable in a second direction, preferably in a transverse direction with respect to the frame, a measuring point, the movement in first direction and second direction used to move measuring point in said directions, measuring equipment for determining the location of the measuring point in transverse and longitudinal respect to the workpiece.

A workpiece holder, measuring device, and a method for executing a measurement by using the workpiece holder. The workpiece holder is configured to hold a workpiece with two opposite arranged workpiece surfaces to be measured in a way that both are accessible by a moveable probe unit and can thus be measured in one setting of the workpiece. For this the workpiece holder comprises a support and a holding body. The holding body has a holding end away from the support with at least one holding surface at which the workpiece is held. In the holding body a free space is formed that adjoins the workpiece surface facing the support when a workpiece is held and makes the workpiece surface accessible for measuring or probing. The accessibility for the probe unit is provided by a transverse channel extending obliquely or orthogonally to the longitudinal axis of the workpiece holder.

A workpiece holder, measuring device, and a method for executing a measurement by using the workpiece holder. The workpiece holder is configured to hold a workpiece with two opposite arranged workpiece surfaces to be measured in a way that both are accessible by a moveable probe unit and can thus be measured in one setting of the workpiece. For this the workpiece holder comprises a support and a holding body. The holding body has a holding end away from the support with at least one holding surface at which the workpiece is held. In the holding body a free space is formed that adjoins the workpiece surface facing the support when a workpiece is held and makes the workpiece surface accessible for measuring or probing. The accessibility for the probe unit is provided by a transverse channel extending obliquely or orthogonally to the longitudinal axis of the workpiece holder.

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.

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.

A method is provided with a step of converting shape data (51) into a plurality of voxels (55) for each of a plurality of known objects being processed, a step of setting, for each of the known objects being processed, a processing condition for a voxel (55) constituting a processing surface, a step of using the voxel (55) of the plurality of known objects being processed and the processing condition to perform machine learning in which an input is the voxel (55) and an output is a processing condition, a step of converting shape data (52) of a candidate object being processed into a plurality of voxels (56), a step of setting, on the basis of results of machine learning, a processing condition for a voxel (56) constituting a processing surface of the candidate object being processed, and a step of determining a processing condition for each processing surface of the candidate object being processed, a processing condition that is set for the largest number of voxels (56) in one processing surface being determined as a processing condition for said processing surface.

A method is provided with a step of converting shape data (51) into a plurality of voxels (55) for each of a plurality of known objects being processed, a step of setting, for each of the known objects being processed, a processing condition for a voxel (55) constituting a processing surface, a step of using the voxel (55) of the plurality of known objects being processed and the processing condition to perform machine learning in which an input is the voxel (55) and an output is a processing condition, a step of converting shape data (52) of a candidate object being processed into a plurality of voxels (56), a step of setting, on the basis of results of machine learning, a processing condition for a voxel (56) constituting a processing surface of the candidate object being processed, and a step of determining a processing condition for each processing surface of the candidate object being processed, a processing condition that is set for the largest number of voxels (56) in one processing surface being determined as a processing condition for said processing surface.