Patent classifications
B23Q17/0995
Thermal displacement compensation apparatus and thermal displacement compensation method for machine tool
A thermal displacement compensation apparatus includes a temperature measuring unit, a thermal displacement estimating unit, a thermal displacement compensation unit, a displacement measuring unit, a data recording unit, a thermal displacement compensation learning unit, and a displacement measurement timing diagnostic unit. The displacement measuring unit measures a displacement of a machine tool after compensating an axis command value. The thermal displacement compensation learning unit determines a thermal displacement estimation formula based on temperature information and the displacement recorded in the data recording unit. The displacement measurement timing diagnostic unit compares the temperature information at a past displacement measurement recorded in the data recording unit with current temperature information obtained from the temperature measuring unit, and determines whether to measure the displacement by the displacement measuring unit or not at a predetermined diagnosis timing.
Machining apparatus and tool life estimation method
A machining apparatus includes encoders that detect first rotational positions of motors that respectively drive an unwind shaft and a take-up shaft for conveying a material, an encoder that detects a second rotational position of a motor that drives a cutter edge for cutting the material, and a controller that controls the motor based on the first rotational position and controls the motor based on the second rotational position to coordinately control conveyance of the material and movement of the cutter edge. The controller calculates positional relationship information representing a positional relationship between the material and the cutter edge based on the second rotational position, determines whether the cutter edge is in contact with the material based on the positional relationship information, and estimates a life of the cutter edge based on a load on the motor when the tool is in a contact state.
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.
METHODS AND SYSTEMS FOR REAL TIME ESTIMATION OF PRESSURE CHANGE REQUIREMENTS FOR ROTARY CUTTERS
Rotary knifes/cutters play an important role in manufacturing of finished products. The rotary cutters tend to lose their cutting material over time. Hence to compensate, pressure applied by cylinder over rotary cutter needs to be changed. But this change in pressure needs to be optimum as too high pressure can lead to loss of material and too low pressure can stop cutting operation. Present application provides methods and systems for real time estimation of pressure change requirements for rotary cutters. The system first determines minimum and maximum usage limit for rotary cutter based on historical rotary cutter usage data and real-time pressure value using first trained model. The system, upon determining that minimum usage limit is reached, determines time for next pressure change based on physical parameters using second trained model. Thereafter, system compares estimated time with estimated maximum usage limit and displays notification to change pressure based on comparison.
A LIFE DETECTION SYSTEM FOR MACHINING TOOLS
A body and at least one control unit that stores and/or controls data for drilling processes is disclosed. At least one machining tool is located on the body extends outward from the body, and provides part shaping, at least one image capturing device that is controlled by the control unit and connected with the control unit for capturing images is also present.
IMAGE PROCESSING DEVICE, MACHINE TOOL, AND IMAGE PROCESSING METHOD
An image processing device (10) includes: a reception unit (101) configured to receive a plurality of pieces of image data of a tool imaged by an imaging unit attached inside a machine tool that machines a workpiece by using the tool; a point cloud data generating unit (102) configured to generate, from the plurality of pieces of image data received by the reception unit, point cloud data that is profile information relating to a profile of the tool; and a profile image forming unit (103) configured to generate, from the point cloud data, profile image data indicating a two- or three-dimensional profile of the tool.
DETERMINING TOOL AND SHAPE DETERMINING METHOD
A determining tool for use in determining the shape of the tip end of a machining tool that machines a workpiece held on a table while the machining tool moves relatively to the table includes a bottom surface adapted to be held on the table and a flat slanting surface inclined to the bottom surface and oriented across a direction in which the machining tool moves relatively to the table, the flat slanting surface being adapted to be cut through by the tip end of the machining tool.
MACHINING APPARATUS AND LIFE ESTIMATION METHOD
A machining apparatus includes encoders that detect first rotational positions of motors that respectively drive an unwind shaft and a take-up shaft for conveying a material, an encoder that detects a second rotational position of a motor that drives a cutter edge for cutting the material, and a controller that controls the motor based on the first rotational position and controls the motor based on the second rotational position to coordinately control conveyance of the material and movement of the cutter edge. The controller calculates positional relationship information representing a positional relationship between the material and the cutter edge based on the second rotational position, determines whether the cutter edge is in contact with the material based on the positional relationship information, and estimates a life of the cutter edge based on a load on the motor when the tool is in a contact state.
Device For Predicting Blade Breakage Of A Bandsaw Blade Of A Bandsaw
A device for predicting a blade breakage of a bandsaw blade of a bandsaw. The device comprises an eddy-current sensor configured to generate a sensor signal that is dependent on a technical parameter of the bandsaw blade. The device further comprises an evaluation unit configured to evaluate the sensor signal, to compare the sensor signal with a predetermined tolerance range, and to generate a warning signal that indicates an imminent blade breakage of the bandsaw blade if the sensor signal lies outside of the predetermined tolerance range.
TOOL STATE LEARNING DEVICE, TOOL STATE ESTIMATION DEVICE, CONTROL DEVICE, TOOL STATE LEARNING METHOD, AND TOOL STATE ESTIMATION METHOD
A tool state learning device has a storage unit for storing an arbitrary image captured by an imaging device imaging a machined surface of an arbitrary workpiece cut using an arbitrary tool, and a teacher data acquisition unit for acquiring, as input data, an arbitrary image stored in the storage unit, and acquiring, as a label, the state of the tool annotated according to prescribed levels indicating the degree of wear of the tool on the basis of the arbitrary image. The tool state learning device also has a tool state learning unit for using the acquired label and input data to perform supervised learning, and generating a learned model in which a machined surface image of the machined surface of a workpiece imaged by the imaging device is inputted and the state of the tool that cut the machined surface of the workpiece is outputted.