Abstract: An object is to predict a microstructure of Al in an industrial process more accurately than conventional techniques. In an information processor (1), an inter-step information integration section supplies a PC(i) and an MS(i, 0) to each i-th step calculating section included in a step calculating section. Each i-th step calculating section supplies an MS(i, t) and a TMP(i, t) to a microstructure calculating section and thereby causes the microstructure calculating section to find an MS(i, tfi), and supplies the MS(i, tfi) to the inter-step information integration section (11). The inter-step information integration section (11) sets, as an MS(i+1, 0), the MS(i, tfi) received from the i-th step calculating section.

Abstract: An Al alloy sheet for a can body and a method for manufacturing the Al alloy sheet are provided. The Al sheet has a predetermined Al alloy composition, and is configured so that the solid solution Mn content thereof after hot rolling is 0.25 mass % or greater, the solid solution Fe content is 0.02 mass % or greater, and the solid solution Si content is 0.07 mass % or greater. The electrical conductivity thereof is 30.0-40.0% IACS, the tensile strength in the rolling direction of a cold-rolled sheet thereof is 280-320 MPa, the tensile strength in the rolling direction after heat treatment at 205° C. for 10 minutes is 270-310 MPa, and the difference between the tensile strength in the rolling direction and the yield stress in the rolling direction after heat treatment at 205° C. for 10 minutes is 50 MPa or less.

Abstract: An object is to predict a microstructure of Al in an industrial process more accurately than conventional techniques. In an information processor (1), an inter-step information integration section supplies a PC(i) and an MS(i, 0) to each i-th step calculating section included in a step calculating section. Each i-th step calculating section supplies an MS(i, t) and a TMP(i, t) to a microstructure calculating section and thereby causes the microstructure calculating section to find an MS(i, tfi), and supplies the MS(i, tfi) to the inter-step information integration section (11). The inter-step information integration section (11) sets, as an MS(i+1, 0), the MS(i, tfi) received from the i-th step calculating section.

Abstract: In order to contribute to optimization of manufacturing conditions under which to manufacture an aluminum product, a property predicting device includes: a data obtaining section configured to obtain a plurality of parameters indicative of manufacturing conditions under which to manufacture an aluminum product; and a neural network (i) including an input layer, at least one intermediate layer, and an output layer and (ii) configured to (a) receive the plurality of parameters as input data supplied to the input layer and (b) supply, from the output layer, a property value of the aluminum product which has been manufactured under the manufacturing conditions indicated by the plurality of parameters.

Abstract: Provided are an Al alloy sheet having excellent characteristics for use as a can body, and a method for manufacturing the Al alloy sheet. A sheet having an Al alloy comprising a predetermined alloy composition as the material thereof, wherein an Al alloy sheet for a can body is configured so that the solid solution Mn content thereof after hot rolling is 0.25 mass % or greater, the solid solution Fe content is 0.02 mass % or greater, and the solid solution Si content is 0.07 mass % or greater, the electrical conductivity thereof is 30.0-40.0% IACS, the tensile strength in the rolling direction of a cold-rolled sheet thereof is 280-320 MPa, the tensile strength in the rolling direction after heat treatment at 205° C. for 10 minutes is 270-310 MPa, and the difference between the tensile strength in the rolling direction and the yield stress in the rolling direction after heat treatment at 205° C. for 10 minutes is 50 MPa or less.

Abstract: A high-strength Al—Cu—Mg—Si aluminum alloy product obtained by extrusion is characterized in that the microstructure of the entire surface of the cross-section of the aluminum alloy product is formed of recrystallized grains, the grains have an average aspect ratio (L/t) of 5.0 or less and the orientation density of the grains in the microstructure, for which the normal direction to the {001} plane is parallel to the extrusion direction in comparison with the grains orientated to random orientations, is 50 or less. The high-strength Al—Cu—Mg—Si aluminum alloy product is characterized in that rod-shaped precipitates are arranged in the grains of the matrix in the <100> direction, the precipitates have an average length of 10 to 70 nm and a maximum length of 120 nm or less, and the number density of the precipitates in the [001] direction measured from the (001) plane is 500 or more per square micrometer.

Abstract: A heat-treated high-strength Al—Cu—Mg—Si aluminum alloy product exhibits excellent extrudability and high strength. The high-strength Al—Cu—Mg—Si aluminum alloy product obtained by extrusion is characterized in that the microstructure of the entire surface of the cross section of the aluminum alloy product is formed of recrystallized grains, the grains have an average aspect ratio (L/t) of 5.0 or less (wherein L is the average size of the grains in the extrusion direction, and t is the average thickness of the grains), and the orientation density of the grains in the microstructure, for which the normal direction to the {001} plane is parallel to the extrusion direction in comparison with the grains orientated to random orientations, is 50 or less.