To provide a wire electric discharge machine which can appropriately perform thermal displacement correction of upper/lower guides even when the installation environment changes. Provided are a storage unit that stores temperatures of machine elements as temperature data, and a rendering unit that digitizes the installation environment and renders as environmental data. Additionally provided are a position command unit that commands a relative position of the upper/lower guides; and a relational expression calculation unit that sets the temperature data environmental data as input data, sets the relative position as training data, and calculates the relational expression by way of machine learning. Further provided are a relational expression decision unit that calculates a correction amount by substituting the temperature of the machine element into this relational expression, and in the case of error between the relative position of the upper/lower guides based on this correction amount and the relative position commanded by the position command unit being small, decides this relational expression as a formal relational expression; and a correction execution unit that performs correction on the relative position of the upper/lower guides using this relational expression.

A system and method is provided that facilitates finite element analysis of parts having variable spatial density graded regions produced via a 3D printer. A processor may receive at least one input through the input device that specifies a gradation pattern for variation in spatial density in at least one direction in at least one region of a 3D-model of the part. The processor may also carry out the simulation via finite element analysis for the 3D-model of the part based at least in part on simulation parameters and the gradation pattern for the at least one region, to produce simulation results involving the part having graded spatial density in the at least one region. The processor may also generate a configuration for the 3D printer that drives the 3D printer to additively build the part based on the 3D-model having the graded spatial density in the at least one region.

A thermal displacement compensation system detects a state quantity indicating a state of an operation of a machine, infers a thermal displacement compensation amount of the machine from the detected state quantity, and performs a thermal displacement compensation of the machine based on the inferred thermal displacement compensation amount, of the machine. The thermal displacement compensation system generates a learning model by machine learning that uses a feature quantity and stores the generated learning model in association with a combination of specified conditions of the operation of the machine.

A thermal displacement compensation system detects a state quantity indicating a state of a machine, infers a thermal displacement compensation amount of the machine from the detected state quantity, and performs a thermal displacement compensation of the machine based on the inferred thermal displacement compensation amount of the machine. The thermal displacement compensation system generates a learning model by machine learning that uses a feature quantity, and stores the generated learning model in association with a combination of specified conditions of individual difference of the machine.

A thermal compensation system for machine tools includes a thermal compensation-monitoring device and a cloud processing device. The thermal compensation-monitoring device receives a plurality of temperature signals of a workpiece and corresponding processing tolerance data to build or update a thermal compensation database. The cloud processing device provides a thermal compensation model, and applies the model with the characterized temperature signals and the tolerance data to generate a compensation value so as to decide whether or not to modify the model or to run a compensation is necessary.

To provide a wire electric discharge machine capable of suitably and simply performing thermal displacement correction on upper and lower guides. Provided are a storage unit that stores temperatures of machine elements and actual values for relative positions of upper and lower guides to be associated with each other as associated data; and a relational expression calculation unit that infers and calculates a relational expression between the temperature of the machine element and the relative positions of the upper and lower guides by way of machine learning with this associated data as training data. Additionally provided are a position estimation unit that substitutes temperatures of the machine element into the relational expression and calculates an estimated value for the relative position of the upper and lower guides; and a correction amount calculation unit that calculates a correction amount for the upper and lower guides, based on the estimated value for the relative position. Further provided is a correction execution unit that performs correction of the relative position of the upper and lower guides based on this correction amount.

An embodiment of a semiconductor package apparatus may include technology to learn thermal behavior information of a system based on input information including one or more of processor information, thermal information, and cooling information, and provide information to adjust one or more of a parameter of a processor and a parameter of a cooling subsystem based on the learned thermal behavior information and the input information. Other embodiments are disclosed and claimed.

An enclosure system with a temperature control system including an enclosure, a thermoelectric module having first and second portions, and a thermal controller. The enclosure includes a main body with an open end, a cover coupled to the open end of the main body, and an interior sized and configured to receive an electronic device therein, the interior defined by the main body and the cover. The enclosure further includes a sealing member provided at an interface between the main body and the cover such that the interface is substantially sealed and resistant to liquid ingress. The first portion is positioned within the interior. The second portion is coupled to or is otherwise in contact with a portion of the enclosure exposed to an external environment. The thermal controller is electrically coupled to the thermoelectric module and operable to control heating and/or cooling of a portion of the thermoelectric module.

A numerical controller which compensates an estimated value of a thermal displacement amount of a machine tool is provided with an estimation unit comprising a learning model having learned the correlations between information on the temperature of the machine tool and information on a thermal displacement and configured to acquire the information on the temperature from the machine tool and calculate an estimated value of the thermal displacement, based on the information on the temperature and the learning model, a compensation condition acquisition unit configured to acquire positioning information from the machine tool, and a compensation unit configured to compensate the estimated value of the thermal displacement based on the positioning information.

A measurement, calibration and compensation system for machine tool includes a first positioning base; two first speckle image sensors for sensing speckle positions of an object holding unit at a first XY plane and a first XZ plane of the first positioning base before and after the machine tool is started for machining; a second positioning base; two second speckle image sensors for sensing speckle positions of a cutter holding unit at a second XY plane and a second YZ plane of the second positioning base before and after the machine tool is started for machining. Thus, the thermal expansion at all axes of the machine tool can be measured in a simplified and low-cost way, and the absolute positioning coordinates of all axes of the machine tool can be calibrated in real time to avoid reduced positioning accuracy due to the thermal expansion of the multi-axis machine tool.