Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using subtractive manufacturing systems and techniques and a determined stock allowance include, in one aspect, a method including: obtaining a finishing toolpath specification for three dimensional (3D) geometry of a part; generating 3D geometry of a model of a semi-finished structure in accordance with a computer simulation of deflections experienced by a workpiece as stock material is cut from the workpiece using the finishing toolpath specification; creating a semi-finishing toolpath specification for the semi-finished structure; and providing the semi-finishing toolpath specification for use in machining the part by cutting away a first portion of the stock material using the semi-finishing toolpath specification to form the semi-finished structure, followed by performing a finishing operation of the semi-finished structure by cutting away a second portion of the stock material to form the part.

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.

A testbed device includes high performance actuators, a video microscopy system and a plurality of high resolution, throughput sensors adapted or configured for collecting data that may be used in predictive modelling of machine processes.

A testbed device includes high performance actuators, a video microscopy system and a plurality of high resolution, throughput sensors adapted or configured for collecting data that may be used in predictive modelling of machine processes.

A clamping system for machine tools includes a body portion configured to be received in a holding fixture of a machine, a tool holder integrally formed with and extending longitudinally from the body portion, the tool holder having a mounting mechanism on a distal end thereof for receiving a cutting tool, at least one fluid delivery vein extending through the tool holder from the body portion to the distal end of the tool holder, and at least one outlet at the distal end of the tool holder, the at least one outlet being configured to direct a fluid from the at least one fluid delivery vein toward at least one of the cutting tool and a workpiece.

A machine learning apparatus learns a setting value in a machining program of a machine tool configured to machine an impeller. The machine learning apparatus includes a state observation unit configured to acquire the thermal displacement amount during a period of machining a workpiece, as a state variable, and a determination data acquisition unit configured to receive the imbalance amount in the impeller after machining as determination data. The machine learning apparatus includes a learning unit configured to learn the setting value in the machining program on the basis of output from the state observation unit and output from the determination data acquisition unit.

A machine learning apparatus learns a setting value in a machining program of a machine tool configured to machine an impeller. The machine learning apparatus includes a state observation unit configured to acquire the thermal displacement amount during a period of machining a workpiece, as a state variable, and a determination data acquisition unit configured to receive the imbalance amount in the impeller after machining as determination data. The machine learning apparatus includes a learning unit configured to learn the setting value in the machining program on the basis of output from the state observation unit and output from the determination data acquisition unit.

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.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using subtractive manufacturing systems and techniques and a determined stock allowance include, in one aspect, a method including: obtaining a finishing toolpath specification for three dimensional (3D) geometry of a part; generating 3D geometry of a model of a semi-finished structure in accordance with a computer simulation of deflections experienced by a workpiece as stock material is cut from the workpiece using the finishing toolpath specification; creating a semi-finishing toolpath specification for the semi-finished structure; and providing the semi-finishing toolpath specification for use in machining the part by cutting away a first portion of the stock material using the semi-finishing toolpath specification to form the semi-finished structure, followed by performing a finishing operation of the semi-finished structure by cutting away a second portion of the stock material to form the part.

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures using subtractive manufacturing systems and techniques and a determined stock allowance include, in one aspect, a method including: obtaining a finishing toolpath specification for three dimensional (3D) geometry of a part; generating 3D geometry of a model of a semi-finished structure in accordance with a computer simulation of deflections experienced by a workpiece as stock material is cut from the workpiece using the finishing toolpath specification; creating a semi-finishing toolpath specification for the semi-finished structure; and providing the semi-finishing toolpath specification for use in machining the part by cutting away a first portion of the stock material using the semi-finishing toolpath specification to form the semi-finished structure, followed by performing a finishing operation of the semi-finished structure by cutting away a second portion of the stock material to form the part.