The present disclosure concerns machine tools and more specifically compensation of variations which may occur within a multi-axis machine tool during a cutting process. An example embodiment includes a method of machining a workpiece using a machine tool comprising a machining head and a workpiece holder moveable relative to each another the method comprising: performing a first machining operation on a workpiece mounted to the workpiece holder according to a first programmed series of movements of the machining head relative to the workpiece holder, the first machining operation having a first maximum machining tolerance; performing a second machining operation on the workpiece according to a second programmed series of movements of the machining head relative to the workpiece holder, the second machining operation having a second maximum machining tolerance; performing a measurement operation to determine a position of an artefact on the machine tool; calculating an offset relative to a corresponding previously stored position of the artefact; and applying the offset to the second programmed series of movements prior to performing the second machining operation, wherein the second maximum machining tolerance is smaller than the first maximum machining tolerance.

A method for calculating the reliability of the thermal error model of a machine tool based on deep neural network (DNN) and the Monte Carlo method, which belongs to the field of the thermal error compensation of computer numerical control (CNC) machine tools. Firstly, according to the probability distribution of the thermal parameters and thermal error model, a set of data for training the DNN is generated. Next, the DNN is constructed based on the deep belief networks (DBNs) and trained with the training data. Then, a group of random sampling data is obtained according to the probability distribution of the thermal characteristic parameters of the machine tool, and the group of random sampling is taken as the input and the output is obtained by the trained depth neural network. Finally, the reliability of the thermal error model is calculated based on the Monte Carlo method.

A spindle thermal error compensation method which is insensitive to the disturbance of the cooling system is provided, belonging to the technical field of error compensation in numerical control machine tools. First, the spindle model coefficient identification test, based on multi-state speed variable, is performed; after which, based on the correlation analysis between temperature and thermal error, the temperature measurement point, significantly correlated with the axial thermal error of the spindle, is determined. Next, a spindle thermal error model is established, which is insensitive to the cooling system disturbance. In addition, the coefficients in the model are identified under constraint condition, according to the nonlinear quadratic programming algorithm. Finally, based on the OPC UA communication protocol, the compensation value, as calculated by the model, is input to the numerical control system, in order to realize the compensation of the spindle thermal error.

An information handling system may include a processor, a proximity sensor configured to determine whether a user of the information handling system is proximate to the information handling system, an air mover configured to cause movement of gaseous fluid within the information handling system in order to thermally cool one or more components of the information handling system, and an air mover control system configured to receive a signal from the proximity sensor indicative of whether the user is proximate to the information handling system and control a speed of a motor of the air mover based on whether the user is proximate to the information handling system.

An optimized control method for a primary frequency regulation based on an exergy storage correction of a thermodynamic system of a coal-fired unit is provided. Through measuring and recording temperatures and pressures of working fluids and metal heating surfaces of the coal-fired unit thermodynamic system in real-time, an exergy storage amount of the thermodynamic system is obtained. During a transient process, according to an exergy storage variation before and after acting of each regulation scheme, a maximum power output of each scheme is obtained. Thereafter, through comparing the maximum power output with a maximum power regulation quantity required by a current frequency regulation, an optimal primary frequency regulation control scheme is selected, and a primary frequency regulation control logic is corrected, so as to be high-efficiently and accurately involved in the primary frequency regulation control and maintain a fast and stable grid frequency. The present invention improves a predictive accuracy of an actual effect of the various thermodynamic system regulation schemes and reduces a selection blindness of the primary frequency regulation schemes, so that an operation flexibility of the coal-fired power unit during the transient processes is greatly improved.

A temperature regulation system and a temperature regulation method are applicable to a machine tool. The temperature regulation system includes a cooling fluid storage tank, a heating fluid storage tank, an internal circulation subsystem, an external circulation subsystem and a computing unit. The internal circulation subsystem includes a first valve. The external circulation subsystem includes a plurality of flow channels and a second valve and a third valve disposed on the plurality of the flow channels. The computing unit controls the first valve, the second valve and the third valve to switch flow directions of the plurality of the flow channels among the cooling fluid storage tank, the heating fluid storage tank and machine tool. Therefore, a thermal balance of the machine tool can be effectively maintained.

The present disclosure relates to a device for reading from and/or writing to a removable storage card. The device can comprise a housing including a wall defining a housing opening sized to receive a removable storage card. The device can also comprise a thermal management system attached to at least a part of the wall of the housing. Additionally, the device can comprise a biasing mechanism interoperable with the housing and configured to bias a card surface of the removable storage card into thermal communication with the thermal management system in response to insertion of the removable storage card into the housing opening. In some aspects, the biasing mechanism includes one or more elastic members configured to apply a biasing force to the removable storage card in response to the insertion of the removable storage card into the housing opening.

An abnormality determination apparatus, which determines abnormality of a temperature sensor in a machine tool, includes: a temperature pattern storage unit which stores a normal pattern indicating temperature change relative to machining time for a machining classification of the machine tool; a temperature data acquisition unit which acquires temperature data outputted by the temperature sensor provided to the machine tool; a machining classification determination unit which determines a machining classification of the machine tool; a comparison data acquisition unit which extracts the normal pattern relative to a determined machining classification from the temperature pattern storage unit; a comparison unit which compares the extracted normal pattern, and as acquired pattern indicating temperature change relative to machining time according to the acquired temperature data; and an abnormality determination unit which determines abnormality of a temperature sensor based on a comparison result.

An information handling system may include a processor, a proximity sensor configured to determine whether a user of the information handling system is proximate to the information handling system, an air mover configured to cause movement of gaseous fluid within the information handling system in order to thermally cool one or more components of the information handling system, and an air mover control system configured to receive a signal from the proximity sensor indicative of whether the user is proximate to the information handling system and control a speed of a motor of the air mover based on whether the user is proximate to the information handling system

The invention provides a method for modeling and compensating for the spindle's radial thermal drift error in a horizontal CNC lathe, which belongs to the field of error compensation technology of CNC machine tools. Firstly, the thermal drift error of two points in the radial direction of the spindle and the corresponding temperature of the key points are tested; then the thermal inclination angle of the spindle is obtained based on the thermal tilt deformation mechanism of the spindle, and the correlation between the thermal inclination angle and the temperature difference between the left and right sides of the spindle box is analyzed. According to the positive or negative thermal drift error of the two points that have been measured and the elongation or shortening of the spindle box on the left and right sides, the thermal deformation of the spindle is then classified and the thermal drift error model under various thermal deformation attitudes is then established. Then the influence of the size of the machine tool's structure on the prediction results of the model is analyzed. In real-time compensation, the thermal deformation attitude of the spindle is automatically judged according to the temperature of the key points, and the corresponding thermal drift error model is automatically selected to apply the compensation to the spindle. The method is used to distinguish the thermal deformation attitude of the spindle in a CNC lathe, and the thermal deformation mechanism is used to predict the radial thermal drift error of the spindle.