A system and method for making adjustments to output effort from a spindle driver using a multi-stage nested control loop of an active controller to provide constant power to a friction stir zone during a friction stir operation. Providing constant power facilitates temperature control within the friction stir zone and thereby improves the result of the operation

A system and method for making adjustments to output effort from a spindle driver using a multi-stage nested control loop of an active controller to provide constant power to a friction stir zone during a friction stir operation. Providing constant power facilitates temperature control within the friction stir zone and thereby improves the result of the operation such as a weld.

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).

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.

This numeral control device includes a control information storage unit that stores a plurality of control information items for controlling a control shaft of a machine tool; a control information determination unit that, on the basis of a speed command for designating a feed speed of the control shaft or a movement command derived from the speed command, determines one control information item among the plurality of control information items stored in a control information storage unit; and a control unit that controls the control shaft on the basis of the one control information item determined by the control information determination unit.