A controller for controlling a machine tool calculates a variation of a cutting load based on a changed rotational speed or feed rate of a tool in a machining program for machining a workpiece when the rotational speed or the feed rate is changed, and executes the machining program if the changed rotational speed and/or feed rate of the tool and/or the cutting load are within the ranges of predetermined upper and lower limit values.

To provide a numerical controller for a machine tool capable of reducing heat generation and realizing stable heavy cutting, and also capable of realizing efficient light cutting. A numerical controller comprises: first speed change means which changes the feed speed of a feed axis drive motor at the start of cutting to an initial speed lower than a command speed, based on magnetic flux content at the start of cutting; and second speed change means which changes the feed speed from the initial speed to the command speed continuously or intermittently based on time elapsed from the start of cutting and a time constant for change in the magnetic flux content.

A method and system (10) are provided for automatically portioning workpieces (14) using a rotating blade (22) passing through narrow gap (20) formed between the ends of adjacent conveyors (12) and (18). A scanning system (16) scans the workpieces (14) to physically characterize the workpieces and control the operation of the blade (22), including its rotational speed. The portioning of the workpiece can be carried out in accordance with one or more directly-controlled characteristics (parameter/specifications), such as a cutting path of the blade (22), the rotational speed of the blade (22), and the speed of the conveyor (12). The directly-controlled characteristics may be varied until an acceptable set of one or more indirectly-controlled characteristics is achieved, including, for example, the weight of the cut portions, the quality of the cuts achieved by the cutting blade, and the throughput of the portioning system (10).

The present invention discloses a method and system for machining a work piece by a machining tool, and a robot system using the same. The method comprises: defining a customized contact point on the machining tool by setting a contact point height of the machining tool; moving the machining tool against the work piece to apply predefined machining feeds. Compared with the existing prior arts, the proposed method and system improves machining efficiency and accuracy. With the method and system according to the present disclosure, high machining efficiency could be achieved as well as collisions could be avoided.

A spindle speed adjusting device in machining is provided, which may include a plurality of signal detection modules, a signal capturing module and a signal processing module. Each of the signal detection modules may keep measuring the vibration signals in machining. The signal capturing module may capture the vibration signals. The signal processing module may execute a transmissibility analysis to obtain the transmissibility between the signal detection modules, and execute a frequency response fitting according to the transmissibility to obtain a plurality of system dynamic parameters, and then execute a stability lobe diagram analysis to calculate the optimized spindle speed of the machining tool so as to make the machining tool operate at the optimized spindle speed. The signal processing module may repeatedly execute the transmissibility analysis, the frequency response fitting and the stability lobe diagram analysis to keep updating the optimized spindle speed until the machining process ends.

A numerical controller includes a machine learning device for performing machine learning of machining condition adjustment of a machine tool. The machine learning device calculates a reward based on acquired machining-state data on a workpiece, and determines an adjustment amount of machining condition based on a result of machine learning and machining-state data, and adjusts machining conditions based on the adjustment amount. Further, the machine learning of machining condition adjustment is performed based on the determined adjustment amount of machining condition, the machining-state data, and the reward.

An interchangeable unit adapted to couple to a computer numerical control (CNC) machine is disclosed comprising a holder that couples to a spindle of the CNC machine, a controller, wherein said controller is configured to receive the rotational speed of the spindle as an input, and a material processing unit, wherein said material processing unit executes a first function in response to a first rotational speed range of the spindle and executes a second function in response to a second rotational speed range of the spindle.

An interchangeable unit adapted to couple to a computer numerical control (CNC) machine is disclosed comprising a holder that couples to a spindle of the CNC machine, a controller, wherein said controller is configured to receive the rotational speed of the spindle as an input, and a material processing unit, wherein said material processing unit executes a first function in response to a first rotational speed range of the spindle and executes a second function in response to a second rotational speed range of the spindle.

Provided is a carbon fiber reinforced plastic machining method using a monitoring sensor which includes the step (S10) of electrically connecting a spindle and the monitoring sensor by a computer numerical control (CNC) device, the step (S20) of determining a start position in relation to machining of the spindle and a machining finish position, and the step (S30) of controlling the movement speed and rotation speed of the spindle in accordance with the determination result.

A remote machining optimization system for a machine tool is provided, which includes an input unit configured to input a machining parameter including a spindle speed and a cut depth; a receiving unit configured to receive sound signals and vibration signals from the machine tool; a processing unit configured to generate a machining program with a program generating module, to modify the spindle speed and the cut depth according to the sound signals with a speed optimization module and a depth optimization module, respectively; a communication unit configured to send the machining program to the machine tool; and a storage unit configured to store the modified spindle speed and the cut depth.