Patent classifications
G05B2219/50312
Method for predicting drill bit wear
A system for improving drill bit performance, having processors and memory storing instructions to obtain a wear report for a drill bit, wherein the wear report includes wear characteristics of the drill bit and drill operating parameters under which the drill bit was used; compare the wear characteristics of the drill bit to a threshold for acceptable drill bit wear; and adjust drill operating parameters based on the wear characteristics of the drill bit. The instructions to obtain the wear report for the drill bit include instructions to analyze images of the drill bit to identify wear characteristics; identify wear patterns based on the wear characteristics of the drill bit; identify probable drilling conditions based on the wear patterns; and generate the wear report for the drill bit based on the images of the drill bit, the wear characteristics of the drill bit, and the probable drilling conditions.
Machine tool
A machine tool includes a linear movement axis for moving a main spindle, at least two linear movement axes for moving a table, and a rotation table including at least one rotation axis, the rotation table being placed on the table. A numerical controller performs machining by executing a machining program for tool center point control where the tool orientation is fixed to a certain axis or a certain surface, and by changing the tool orientation by controlling each axis of the machine tool based on set tool use range and tool orientation change waveform pattern.
IN-SITU GRINDING WHEEL TOPOGRAPHY, POWER MONITORING, AND FEED/SPEED SCHEDULING SYSTEMS AND METHODS
Feed rate scheduling methods include measuring a topography of a grinding wheel of a machine tool, calculating a topography parameter using the topography, and calculating a feed rate scheduling parameter for a toolpath of the grinding wheel based on the topography parameter. The topography may be measured using microscopy. The topography parameter may include a plurality of parameters including a density of crystals at a given depth (C(h)) of the grinding wheel and/or an area fraction of crystals protruding at a given depth (α(h)) of the grinding wheel. The feed rate scheduling parameter may include a grinding wheel feed rate, a grinding wheel spin rate, and/or a grinding wheel cutting depth, among other parameters.
METHOD FOR PREDICTING DRILL BIT WEAR
A system for improving drill bit performance, comprising processors and memory storing instructions to obtain a wear report for a drill bit, wherein the wear report includes wear characteristics of the drill bit and drill operating parameters under which the drill bit was used; compare the wear characteristics of the drill bit to a threshold for acceptable drill bit wear; and adjust drill operating parameters based on the wear characteristics of the drill bit. The instructions to obtain the wear report for the drill bit include instructions to analyze images of the drill bit to identify wear characteristics; identify wear patterns based on the wear characteristics of the drill bit; identify probable drilling conditions based on the wear patterns; and generate the wear report for the drill bit based on the images of the drill bit, the wear characteristics of the drill bit, and the probable drilling conditions.
WORKPIECE PROCESSING METHOD AND WORKPIECE PROCESSING MACHINE
A processing apparatus for processing a workpiece includes a tool holding part 9 for holding a tool 3 for processing a workpiece 5, a transferring part 11 for transferring the tool 3 for processing the workpiece 5 with the tool 3, and a control unit 13 for controlling the transferring part 11 so as to transfer the tool 3 with respect to the workpiece 5 on the basis of an NC program, and in the NC program, an arithmetic expression for calculating the position of the tool 3 is incorporated and the program is corrected on the basis of the relationship between the cutting transferring distance, the wear amount, and the deflection amount in addition to the contour error of the tool 3.
COMPUTER-SUPPORTED MANUFACTURING METHOD, AND MANUFACTURING SYSTEM
A computer-supported manufacturing method for manufacturing workpieces from a workpiece blank according to a manufacturing plan using a machine tool (18), has a processing device. The method includes at least partly transmitting the manufacturing plan by means of an order control device. At least one work piece is manufactured from the workpiece blank according to the manufacturing plan. The manufacturing progress of the processing device is determined during the manufacturing of the at least one workpiece by the order control device. The manufacturing plan is changed on the basis of the manufacturing progress during the manufacturing of the at least one workpiece by means of the order control device.
Method for predicting drill bit wear
A system for improving drill bit performance, comprising processors and memory storing instructions to obtain a wear report for a drill bit, wherein the wear report includes wear characteristics of the drill bit and drill operating parameters under which the drill bit was used; compare the wear characteristics of the drill bit to a threshold for acceptable drill bit wear; and adjust drill operating parameters based on the wear characteristics of the drill bit. The instructions to obtain the wear report for the drill bit include instructions to analyze images of the drill bit to identify wear characteristics; identify wear patterns based on the wear characteristics of the drill bit; identify probable drilling conditions based on the wear patterns; and generate the wear report for the drill bit based on the images of the drill bit, the wear characteristics of the drill bit, and the probable drilling conditions.
A METHOD AND APPARATUS FOR PROVIDING AN ADAPTIVE SELF-LEARNING CONTROL PROGRAM FOR DEPLOYMENT ON A TARGET FIELD DEVICE
Provided is a method for deploying and executing self-optimizing functions on a target field device, the method including the steps of providing a set of functions, f, having at least one tuneable parameter, θ; deriving automatically from the provided set of functions, f, an additional set of functions used to optimize the tuneable parameters, θ; converting both sets of functions into a machine executable code specific to the target field device; and deploying and executing the converted machine executable code on the target field device.
Workpiece processing method and workpiece processing machine
A processing apparatus for processing a workpiece includes a tool holding part 9 for holding a tool 3 for processing a workpiece 5, a transferring part 11 for transferring the tool 3 for processing the workpiece 5 with the tool 3, and a control unit 13 for controlling the transferring part 11 so as to transfer the tool 3 with respect to the workpiece 5 on the basis of an NC program, and in the NC program, an arithmetic expression for calculating the position of the tool 3 is incorporated and the program is corrected on the basis of the relationship between the cutting transferring distance, the wear amount, and the deflection amount in addition to the contour error of the tool 3.
METHOD FOR PREDICTING DRILL BIT WEAR
A system for improving drill bit performance, comprising processors and memory storing instructions to obtain a wear report for a drill bit, wherein the wear report includes wear characteristics of the drill bit and drill operating parameters under which the drill bit was used; compare the wear characteristics of the drill bit to a threshold for acceptable drill bit wear; and adjust drill operating parameters based on the wear characteristics of the drill bit. The instructions to obtain the wear report for the drill bit include instructions to analyze images of the drill bit to identify wear characteristics; identify wear patterns based on the wear characteristics of the drill bit; identify probable drilling conditions based on the wear patterns; and generate the wear report for the drill bit based on the images of the drill bit, the wear characteristics of the drill bit, and the probable drilling conditions.