Abstract: A method for controlling a cutting machining process on a machine tool by a P-controller that changes a controlled variable u(t) affecting the cutting machining process based on a control deviation e(t) between a control quantity y(t) and a guide quantity w(t). To improve the control, the control factor (K) of the P-controller is variable and determined depending on instantaneous value of the control quantity y(t) via load characteristic fields. Each load characteristic field specifies a predetermined control factor for a defined value or value range of the control quantity y(t). Further disclosed is a control device for a cutting machine tool, a cutting machine tool, and a process for the cutting machining of a workpiece.

Abstract: A method of determining an energy-efficient operating point of a machine tool of a machine tool system with which identical workpieces for processing can be supplied to the machine tool sequentially in time. The machine tool has an operating point dependent machine cycle time and an operating point dependent power demand. The machine tool system has at least two machine tools and has a system cycle time, and the machine cycle time is shorter than the system cycle time. The method includes determining the energy-efficient operating point in accordance with a machine cycle time dependent characteristic energy demand function of the machine tool. The characteristic energy demand function represents a machine cycle time dependent energy demand of the machine tool over the system cycle time. A corresponding device and a machine tool system are also described.

Abstract: A method for reducing an energy demand of a machine tool (2, 3, 4) of a machine tool system (1), wherein the machine tool system (1) comprises at least a first machine tool (3), with a first machine cycle time, and a second machine tool (4), with a second machine cycle time. Identical workpieces (9) are transported sequentially in time for processing (101, 107), first to the first machine tool (3) and then to the second machine tool (4). The second machine cycle time is shorter than the first machine cycle time. The method according to the invention is characterized in that the workpieces (9), after being processed by the first machine tool (3), are collected (105, 106) before they are conveyed (107) to the second machine tool (4) for processing. The invention also concerns a related device (10) and a machine tool system (1).

Abstract: A method for controlling a cutting machining process on a machine tool by a P-controller that changes a controlled variable u(t) affecting the cutting machining process based on a control deviation e(t) between a control quantity y(t) and a guide quantity w(t). To improve the control, the control factor (K) of the P-controller is variable and determined depending on instantaneous value of the control quantity y(t) via load characteristic fields. Each load characteristic field specifies a predetermined control factor for a defined value or value range of the control quantity y(t). Further disclosed is a control device for a cutting machine tool, a cutting machine tool, and a process for the cutting machining of a workpiece.

Abstract: A method for enhancing inspection of components of specific geometry based on Barkhausen noises. The method includes specifying a first calibration curve that is independent of the component geometry, which describes the relationship between surface hardness values and measured Barkhausen noise signals. A first noise signal is determined by the measuring device for a reference component having the specified geometry and a first hardness value. A second noise signal is determined for a second reference component, having the specified geometry and a second hardness value lower than the first. A second calibration curve is determined, in which the first calibration curve is fitted to the first noise signal at the first hardness value and to the second noise signal at the second hardness value, such that using the second calibration curve, the measured noise signal of a component having the specified geometry relates with a surface hardness value.

Abstract: A method of inspecting a component (1) on the basis of Barkhausen noises in which a plurality of Barkhausen noise signals are processed, which have been or are determined at measurement positions (PS1, PS2, . . . , PS9) along the surface of the component (1) by a measuring device. According to the method, a computer forms a measurement matrix (M) from the Barkhausen noise signals, which matrix contains the Barkhausen noise signals detected as entries. A variety of characteristics are specified, each of which represents at least one cause of a manufacturing defect(s) of the component (1), each characteristic is associated with a processing procedure of the measurement matrix (M). The procedure is specific for the characteristic concerned. Finally, for each characteristic the measurement matrix (M) undergoes the associated processing procedure in which the intensity of the characteristic concerned is determined.

Abstract: A method for enhancing inspection of components of specific geometry based on Barkhausen noises. The method includes specifying a first calibration curve that is independent of the component geometry, which describes the relationship between surface hardness values and measured Barkhausen noise signals. A first noise signal is determined by the measuring device for a reference component having the specified geometry and a first hardness value. A second noise signal is determined for a second reference component, having the specified geometry and a second hardness value lower than the first. A second calibration curve is determined, in which the first calibration curve is fitted to the first noise signal at the first hardness value and to the second noise signal at the second hardness value, such that using the second calibration curve, the measured noise signal of a component having the specified geometry relates with a surface hardness value.

Abstract: A method of inspecting a component (1) on the basis of Barkhausen noises in which a plurality of Barkhausen noise signals are processed, which have been or are determined at measurement positions (PS1, PS2, . . . , PS9) along the surface of the component (1) by a measuring device. According to the method, a computer forms a measurement matrix (M) from the Barkhausen noise signals, which matrix contains the Barkhausen noise signals detected as entries. A variety of characteristics are specified, each of which represents at least one cause of a manufacturing defect(s) of the component (1), each characteristic is associated with a processing procedure of the measurement matrix (M). The procedure is specific for the characteristic concerned. Finally, for each characteristic the measurement matrix (M) undergoes the associated processing procedure in which the intensity of the characteristic concerned is determined.