Abstract: A method for setting a fabrication condition for performing additive fabrication of an object on the basis of fabrication shape data of the object, the method including: a dividing step for dividing a shape indicated by the fabrication shape data into elements of a predetermined unit size; a partitioning step for partitioning, with respect to each of a plurality of cross sectional shapes in a fabrication direction, the elements constituting the cross sectional shape according to prescribed position type; and a setting step for setting, with respect to each of regions partitioned in the partitioning step, the fabrication condition from among additive patterns defined corresponding to the position type.
Abstract: A modeling condition setting method which performs additive manufacturing of an object, on the basis of modeling shape data on the object, and includes a disassembly step for disassembling the shape indicated by the modeling shape data into a plurality of elements with predetermined element shapes; a setting step for setting a laminated pattern for each of the plurality of elements; and an adjustment step for adjusting the formation order of beads constituting each of the plurality of elements, for each predetermined unit height.
Abstract: The present invention has: a setting step for setting lamination patterns respectively for an outer edge portion and an inner portion of a shape indicated by shaping data; and an adjustment step for adjusting a forming sequence such that, during manufacturing when the lamination patterns are used to laminate and thereby form the outer edge portion and the inner portion, the height of the already laminated outer edge portion is higher than the height of the inner portion that is being newly laminated. In the lamination patterns, the orientation of the heat source when a region positioned at a boundary with the outer edge portion is formed is set so as to be inclined at a prescribed angle toward the outer edge portion in a plan perpendicular to a movement direction of the heat source.
Abstract: A strand production apparatus configured to produce a fiber reinforced resin strand having one or a plurality of fiber bundles including reinforcing fibers includes a twisting unit, a resin bath unit, and a winding unit. The twisting unit rotates the one or the plurality of fiber bundles around an axis of the one or the plurality of fiber bundles to form one or a plurality of twisted fiber bundles. In the resin bath unit, the one or the plurality of twisted fiber bundles are impregnated with a molten resin to form a fiber reinforced resin strand. The winding unit winds the fiber reinforced resin strand. The twisting unit is disposed on an upstream side of the resin bath unit in a conveying direction of the one or the plurality of fiber bundles.
Abstract: Provided is a reliquefaction device with which a gas gasified from a liquid can be efficiently reliquefied. A plurality of flow passages include: a mixing flow passage which is connected to the downstream end section of one among a liquid flow passage and a gas flow passage and allows a fluid mixture to flow so that a reliquefaction promoting liquid flowing through the liquid flow passage and a reliquefaction target gas flowing through the gas flow passage are mixed and the reliquefaction of the reliquefaction target gas is promoted by direct heat exchange; and a gas cooling flow passage which allows a coolant to flow and cool the reliquefaction target gas by indirect heat exchange with the reliquefaction target gas through a separation wall, thereby suppressing the gasification of the reliquefaction promoting liquid when the reliquefaction target gas is mixed with the reliquefaction promoting liquid flowing through the liquid flow passage.
Abstract: A flux-cored wire for arc welding, including a steel sheath filled with flux, where the wire contains, relative to a total mass of the wire, Cr: 16.0 to 22.0 mass %, Ni: 6.0 to 11.0 mass %, Mn: 0.7 to 2.6 mass %, Si: 0.1 to 1.1 mass %, Zr: 0.2 to 0.8 mass %, Fe: 45.0 to 65.0 mass %, TiO2: 5.0 to 9.0 mass %, SiO2: 0.1 to 2.0 mass %, ZrO2: 0.5 to 3.0 mass %, and Bi: less than 0.0020 mass %. Where by mass %, a Si content is denoted by [Si] and a Zr content is denoted by [Zr], a value of parameter A expressed by A=[Si]+2×[Zr] satisfies 1.4 to 2.5.
Abstract: A method for manufacturing an additively-manufactured object includes forming a plurality of weld beads obtained by melting and solidifying a filler metal sent out from a torch and depositing each weld bead. The method includes forming and depositing a first weld bead of the plurality of weld beads in a first welding control mode, and forming and depositing a second weld bead of the plurality of weld beads in a second welding control mode with a higher heat input than in the first welding control mode. The first welding control mode is a forward and reverse feeding control in which, while the filler metal is fed sequentially in a forward direction and a reverse direction, a current waveform of a power supplied to the filler metal from a power source is synchronized with the forward and reverse feeding of the filler metal.
Abstract: A machine learning device that performs machine learning of a welding condition for manufacturing an additively-manufactured object by welding a filler metal and depositing weld beads, the machine learning device includes: at least one hardware processor configured to perform a learning process for generating a learned model using two pieces of shape data of a weld bead or a difference between the two pieces of shape data is used as input data and a difference between welding conditions corresponding to the difference between the two pieces of shape data as output data.
Abstract: An object of the present disclosure is to provide a method for manufacturing an aluminum alloy plastically-processed article, capable of preventing a burning crack from occurring due to processing heat generated during plasticity processing while maintaining a solution-treatment temperature of an aluminum alloy material for ensuring a mechanical strength thereof. A method for manufacturing an aluminum alloy plastically-processed article, includes a step of performing a solution treatment for an aluminum alloy material by heating and maintaining the aluminum alloy material at a solution-treatment temperature, a step of performing plasticity processing for the aluminum alloy material subjected to the solution treatment, and steps of cooling the plastically-processed aluminum alloy material at a time at which the step of the plasticity processing is completed, and aging the cooled aluminum alloy material.
Type:
Grant
Filed:
November 17, 2020
Date of Patent:
August 29, 2023
Assignees:
TOYOTA JIDOSHA KABUSHIKI KAISHA, KOBE STEEL, LTD.
Abstract: The shape and the position of a workpiece are measured without having to prepare three-dimensional CAD data in advance. A workpiece measurement method for measuring a shape and a position of a workpiece constituted of a plurality of components includes: an acquiring step for acquiring three-dimensional point, cloud data of the workpiece; an outline estimating step for estimating at least one boundary frame indicating an outline corresponding to each of the plurality of components by using the point cloud data and a condition defined in correspondence with the shape of the workpiece serving as a measurement target; and an optimizing step for optimizing the at least one boundary frame estimated in the outline estimating step by adjusting a parameter in accordance with an evaluation function, and identifying a shape of each of the plurality of components.
Abstract: This welding system comprises: a welding device, various different types of a plurality of sensors which detect an event according to welding performed by a welding device; and an estimation unit which uses a trained model that is pre-generated by machine-learning by taking, as input data, a plurality of pieces of data for learning obtained by detecting events according to welding by means of the same types of sensors as the plurality of sensors, and, as training data, labels representing whether the welding is normal or abnormal, thereby estimating an abnormality of the welding performed by the welding device from a plurality of pieces of detection data generated by the plurality of sensors.
Abstract: An arc welding method includes welding a steel sheet while alternately switching feeding of a welding wire between forward feeding and backward feeding. The welding wire contains, in mass % with respect to a total mass to the welding wire, C: more than 0 and 0.30 or less, Si: 0.01 to 0.30, Mn: 0.5 to 2.5, S: 0.001 to 0.020, Ti: 0.05 to 0.30, and optional elements with the remainder being Fe and unavoidable impurities, and a value obtained by 2×[Ti]/[Si]?50×[S] is more than 1.0. The welding is performed by using a shielding gas containing CO2 gas in an amount of 80 vol. % or more with respect to a total volume of the shielding gas at a frequency of 40 Hz or more and 200 Hz or less, where one cycle for determining the frequency is one forward feeding and one backward feeding.
Abstract: A testing method for a joined body, in which a second pipe member having an outer diameter smaller than that of a first pipe member having at least one through hole is inserted into the first pipe member and the second pipe member is expanded to form a joining portion, the testing method includes: applying an elastic wave vibration to the joined body of the first pipe member and the second pipe member, for plural visual field regions at different positions in a circumferential direction of the joined body, acquiring a vibration distribution of the second pipe member measured through the through hole and a vibration distribution of the first pipe member in a visual field region including the joining portion of the first pipe member and the second pipe member, which are measured optically and in a batch, and determining quality of joining in the entire joining portion based on the acquired vibration distributions.
Abstract: A method for manufacturing a dissimilar material joint structure by joining a steel material and an aluminum or aluminum alloy material having a low-temperature spray coating made of a metal powder capable of being joined to the steel material on at least a part of a surface of the aluminum or aluminum alloy material. The method includes overlapping the aluminum or aluminum alloy material and the steel material such that the low-temperature spray coating and the steel material face each other and emitting a laser beam from a steel material side. Where a region to be irradiated with the laser beam includes a first region where at least the steel material and the low-temperature spray coating are melted, and a second region where the steel material and the low-temperature spray coating are not melted in a peripheral portion of the first region.
Abstract: A machine learning device that performs machine learning of a welding condition for manufacturing an additively-manufactured object by welding a filler metal and depositing weld beads, the machine learning device includes: at least one hardware processor configured to perform a learning process for generating a learned model using a welding condition of a weld bead and a block pattern formed by the weld bead as input data and shape data of the weld bead as output data.
Abstract: Provided is a reciprocating compressor including a third-stage compression unit, a fifth-stage compression unit, a drive unit, a discharge mechanism, a pressure sensor, and a discharge control unit. The discharge mechanism is capable of discharging hydrogen gas from a second connection pipe that allows hydrogen gas to flow to be suctioned into the third-stage compression unit. The discharge control unit controls the discharge mechanism to discharge the hydrogen gas from the second connection pipe when pressure of the hydrogen gas detected by the pressure sensor is higher than a set value preset.
Abstract: Provided is a strand from which a modeled object with excellent impact strength can be easily formed by a 3D printer and a modeled object with excellent impact strength. A strand of the present disclosure is a strand used as a raw modeling material for a 3D printer, the strand including a base material containing thermoplastic resin as a main component and one or more fibers or fiber bundles impregnated in the base material and extending in an axial direction and the strand being twisted along the axial direction.
Abstract: This learning model generation method is for generating a learning model for learning by taking, as teaching data, image data from a visual sensor and welding information extracted from the image data, wherein: a plurality of welding conditions to be used for generating the learning model correspond to the difference in setting pertaining to at least one item; the image data corresponding to each of the plurality of welding conditions includes at least one of a molten pool, a welding wire, and an arc; the welding information includes at least one of information pertaining to the behavior of the molten pool, information pertaining to the position of the welding wire, and information pertaining to the arc; and the learning model which receives the image data as an input and outputs the welding information is generated.
Abstract: A lap fillet weld joint and a lap fillet weld joint manufacturing method are provided. On a side of a first edge, a first metal plate is provided with a bulging portion that has an internal space of a prescribed size, and a second metal plate has a protruding portion that faces to the bulging portion and can be inserted into the bulging portion. In a state in which the protruding portion has been inserted into the bulging portion, the first metal plate and a second edge of the second metal plate are welded, and a first weld bead is formed.