The state of a cutting fluid after machining is predicted. A machine learning device includes: an input data acquisition unit that acquires input data including arbitrary machining conditions for an arbitrary work in machining by an arbitrary machine tool and state information indicating a state of a cutting fluid before machining is performed under the machining conditions; a label acquisition unit that acquires label data indicating state information of the cutting fluid after the machining is performed under the machining conditions included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit to generate a learned model.

A liquid cryogen stored in a liquid cryogen space of a closed insulated cryogenic storage vessel is subcooled by allowing it to enter into a conduit disposed in the liquid cryogen space where it is expanded by a pressure reducer in the conduit, thereby producing a cooled biphasic mixture of the cryogen in liquid and vaporized forms. The cooled biphasic mixture has a temperature lower than that of the liquid cryogen in the liquid cryogen space. Heat is transferred across the conduit from the liquid cryogen in the liquid cryogen space to the cooled biphasic mixture.

A data storage system can be vigilant of the acoustic impedance between cooling features and a data storage device to prevent operational degradation in the data storage device as a result of cooling operations from the cooling features. One or more cooling feature may each be positioned on an opposite sides of an air plenum from a data storage device with each cooling feature connected to a cooling module configured to adjust a speed of the first cooling feature in response to a detected operational condition in the data storage device. The cooling features speed adjustment is executed independently to correct an acoustic and vibration disturbance interference in the data storage system.

A system may include a tank configured to hold a dielectric liquid, a rack located within the tank and having a plurality of bays, each bay configured to receive a corresponding device, an air pump configured to drive an air flow, at least one variable-buoyancy chamber mechanically coupled to at least one of the tank and the rack, each of the at least one variable-buoyancy chamber comprising a fluidically-sealed plenum and wherein the at least one variable-buoyancy chamber is configured to mechanically couple to a device-in-service, and a control subsystem configured to control a buoyancy of the at least one variable-buoyancy chamber in order to cause movement of the device-in-service relative to the rack.

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.

A data storage system can be vigilant of the acoustic impedance between cooling features and a data storage device to prevent operational degradation in the data storage device as a result of cooling operations from the cooling features. One or more cooling feature may each be positioned on an opposite sides of an air plenum from a data storage device with each cooling feature connected to a cooling module configured to adjust a speed of the first cooling feature in response to a detected operational condition in the data storage device. The cooling features speed adjustment is executed independently to correct an acoustic and vibration disturbance interference in the data storage system.

A processing apparatus includes a processing unit, a control unit, and a temperature detecting unit. The processing unit includes a cutting blade and a spindle assembly, the spindle assembly including a spindle having the cutting blade mounted on a distal end of the spindle and a spindle housing through which the spindle is inserted. A cooling fluid passage is formed in the spindle housing, the cooling fluid passage cooling the spindle assembly, and having one end connected to a cooling fluid supply source and having another end communicating with a cooling fluid outlet of the spindle housing. The temperature detecting unit detects the temperature of the spindle housing. The control unit determines whether a state of cooling of the spindle assembly is normal or abnormal on the basis of the temperature detected by the temperature detecting unit.

The state of a cutting fluid after machining is predicted. A machine learning device includes: an input data acquisition unit that acquires input data including arbitrary machining conditions for an arbitrary work in machining by an arbitrary machine tool and state information indicating a state of a cutting fluid before machining is performed under the machining conditions; a label acquisition unit that acquires label data indicating state information of the cutting fluid after the machining is performed under the machining conditions included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit to generate a learned model.

According to some embodiments, a system to improve heat transfer for a data center may include a substantially cylindrical data center tower. The data center tower may include a data center tower bottom having at least one bottom opening to receive external air and a data center tower top, smaller than the data center tower bottom, having a top opening to expel air containing heat, created by the data center, via the Venturi effect. A plurality of hydrophilic bladders may be located proximate to at least a portion of a side of the data center tower, and plurality of data center computer servers may be arranged proximate to the side of the data center tower. In some embodiments, a heat capturing bottom portion of the side of the data center tower is formed of transparent material and/or a translucent material.

This disclosure relates to a temperature control system that may be applied to a machine tool. The system includes a cooling circulation and a controller. The cooling circulation comprises a pump, a cooler and a solenoid valve. The pump may be driven by a variable frequency motor so as to flow through the spindle of the machine tool. The cooler is serially connected with the liquid pump, and may cool the liquid coolant. The solenoid valve connects to inlet and outlet of the cooler, and may prevent the liquid coolant flows through the spindle from flowing back to the cooler. The controller is electrically connected with the variable frequency motor, the cooler and the solenoid valve. Further, the controller is connected to the machine tool to detect several parameters, so as to control the variable frequency motor, the cooler and the solenoid valve.