A milling machine can include a frame; a milling assembly coupled to the frame and including a drum housing and a cutting rotor located within the drum housing; a plurality of load detection sensors extending along a width of the cutting rotor; and a controller operatively coupled to each of the plurality of load detector sensors and configured to determine an active cut width of the cutting rotor based on load information received from the plurality of load detector sensors.

There is described a system for manufacturing a part. The system generally has a receiving area receiving said part, a first reference gauge and a second reference gauge which are subjected to common environmental conditions, said first reference gauge having a first nominal dimension and said second reference gauge having a second nominal dimension different from said first nominal dimension; a measurement device measuring dimensions of said first and second reference gauges, and measuring dimensions of said part; and a controller communicatively coupled to said measurement device, said controller determining a calibration curve by performing a mathematical fit based on said first and second nominal dimensions and said measured dimensions of said first and second reference gauges; and constructing a machine-readable dataset representative of said part, including modifying said measured dimensions of said part based on said calibration curve.

Provided is a tool state detection system capable of improving usability. A tool state detection system that detects a state of a tool attached to a machining device includes: a detection device which is formed separately from a tool holder that holds the tool and is detachably attached to the tool holder, the detection device being configured to detect the state of the tool and output measurement data; and a data analysis device which provided to be communicable with the detection device, the data analysis device being configured to analyze the measurement data from the detection device. As a result, usability for a user is improved since the detection device can be formed separately from the tool holder and be detachably attached to the tool holder.

A machine tool is provided with a main shaft configured to have a tool fitted to a distal end portion thereof, a tool magazine for holding a plurality of tools, a tool exchanging arm for exchanging tools between the tool magazine and the rotary main shaft, and a table for attaching a workpiece, wherein the machine tool machines the workpiece by causing the main shaft and the table to move relative to one another in accordance with a machining program, and wherein the machine tool: is provided with an image capturing device for capturing an image of the tool fitted to a tool holder, and an interference checking device which uses the machining program, and shape data relating to the workpiece, the tool, and the machine tool to simulate machining before machining is carried out, to check for the presence or absence of interference between at least the tool and the workpiece; and acquires the shape data relating to the tool from the interference checking device, generates a two-dimensional tool model from the acquired shape data relating to the tool, compares the two-dimensional tool model with an image of the tool captured by the image capturing device, and determines that the tool is invalid if an amount of displacement between the two-dimensional tool model and the image data is equal to or greater than a prescribed threshold.

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.

In a method for determining the state of wear of a tool, at least one optical image of a surface of the tool is recorded. Image data of the at least one optical image are processed in order to detect a wear zone. A surface extent and/or spatial extent of the wear zone is determined. The state of wear of the tool is classified on the basis of the extent determined. An apparatus for determining the state of wear of a tool correspondingly comprises a camera for recording at least one optical image of a surface of the tool, an image processing module which is configured in such a way that it processes image data of the at least one optical image in order to detect a wear zone, a computation module which is configured in such a way that it determines a surface extent and/or spatial extent of the wear zone, and a classifier module which is configured in such a way that it classifies the state of wear of the tool on the basis of the extent determined.

A direct pose feedback (DPF) control method applied to a DPF controlled machine is provided. The DPF control method includes a pose compensation control in addition to the position feedback control. The pose compensation control includes an initiation step, a reference system step, an actual pose calculation step and a position compensation step. The sum of the primary driving value and the compensation driving value is output to the driver of each of the motors. The advantage of the DPF control method is that the existing real-time position control loop in the controller can remain unchanged, while the pose compensation control is added to eliminate tool pose error resulted from geometric errors in the machine. The DPF controlled machine uses a pose measuring mechanism to measure the actual pose of the tool and to compensate the tool pose error. Hence, the DPF controlled machine is free of geometric errors.

A detection device includes an idling feed threshold acquiring unit configured to acquire, as an idling feed threshold, a threshold of an acceptable load in an idling feed operation; an expected load acquiring unit configured to acquire, as an expected load, an expected increase in load due to execution of an actual machining operation; a calculating unit configured to calculate, based on the idling feed threshold and the expected load, an actual machining threshold which is a threshold of an acceptable load in the actual machining operation; an actual machining load acquiring unit configured to acquire, as an actual machining load, an actual load during an actual machining operation; and a detecting unit configured to detect, based on the operating mode, an excess of the actual machining load relative to the idling feed threshold or the actual machining threshold.

A wood router support device including a base board having a measurement stick attached to the base board. The base board has a router attachment located at one end and a slot beginning at the router attachment and running longitudinally to the opposite end. The measurement stick is slidably attached to the base board using a tongue and groove attachment. The tongue is part of the base board and is configured to fit within the groove located within the measuring stick. The measuring stick has an aperture located in an end closed to the router attachment. The aperture rotatably accepts an attachment device therein.

A method for correcting tool parameters of a machine tool for machining workpieces includes recording measurement values of measured characteristics as actual values of at least one workpiece machined with the machine tool. The measurement values are compared with the default set values of the workpiece. The measurement values of at least two measured characteristics are recorded from at least two parameters of at least one measured characteristic and/or from at least one measured characteristic and from at least one parameter. An average for a tool correction value is calculated from the measurement values and the corresponding set values, with which a correction of the machine tool is performed.