A deformation processing system acquires target shape data of a work including a reference line, acquires intermediate shape data from the work having an intermediate shape having a reference line drawn thereon, puts these two pieces of data side by side by positioning the reference lines relative to each other, and calculates a necessary deformation amount of the work based on the difference between the two pieces of data put side by side.

A method for selecting optimum operation performance criteria for a metal working process. The method includes the step of developing a process model relating process parameters for the operation with performance variables for said operation, wherein the process parameters and performance variables are retrievable via integrated multiple data sources, and selecting at least one optimization technique to define a function, said function including process parameters. Moreover, the method includes generating the function for optimization by using acceptable tolerances of a product to be machined as a basis to define ranges for performance variables along with ranges for process parameters, and applying the at least one optimization technique to said function, whereby optimum operation performance criteria are calculated for the process model including process parameters and performance variables to obtain a set of requirements to be used for controlling the metal working process.

A preformed shape capable of suppressing occurrence of cracks and wrinkles in a metal sheet can be determined by simple means. A metal sheet is press formed into a three-dimensionally shaped component. A method therefor includes a first step of press forming the metal sheet into an intermediate component having a preformed shape including a shape of the three-dimensionally shaped component crushed under a load applying condition for applying load in a direction in which at least a part of the three-dimensionally shaped component is straightened and a second step of press forming the intermediate component into the three-dimensionally shaped component.

A method for selecting optimum operation performance criteria for a metal working process. The method includes the step of developing a process model relating process parameters for the operation with performance variables for said operation, wherein the process parameters and performance variables are retrievable via integrated multiple data sources, and selecting at least one optimization technique to define a function, said function including process parameters. Moreover, the method includes generating the function for optimization by using acceptable tolerances of a product to be machined as a basis to define ranges for performance variables along with ranges for process parameters, and applying the at least one optimization technique to said function, whereby optimum operation performance criteria are calculated for the process model including process parameters and performance variables to obtain a set of requirements to be used for controlling the metal working process.

Methods of designing a plybook for a composite component are disclosed. Included method comprising: defining a component volume corresponding to the composite component to be manufactured; defining a plurality of successive plies of composite material to fill the component volume; simulating at least some of the plurality of successive plies of composite material based on an estimate of variable cured ply thickness, wherein the variable cured ply thickness is estimated by: simulating at least a portion of a respective ply of composite material; and estimating a cured ply thickness for the portion of composite material at least partly based on local conditions of the portion. A plybook is defined based on the plurality of simulated plies.

In computer assisted design, a sheet body is patched to a target body, wherein the boundary edges of sheet body are partially coincident with the target body. All segments of the sheet body boundary that are coincident or non-coincident to the target body are detected; for a non-coincident segment with at least one end point which is in the interior of the target body but not on the sharp edge, the corresponding patch position on the target body is determined, and the segment or an extension is projected on the target body; for a non-coincident segment with both end points on sharp edges of the target body, the open region between the segment and the sharp edges is filled as extension of the faces of sharp edges; the coincident segments and the projected or extended non-coincident segments are combined to divide the target body into separate regions; and one of the regions is replaced by the sheet body.

An automated modelling system for automatically and quickly creating computer-aided-engineering model of body in white structures such as members, braces, and joints based on limited inputs from a user. The automated modelling system generally includes a computer system which receives various inputs from the user, including but not limited to trajectories, axis along height, any base components, height, width, angle, size, radius, thickness, and the like. Using these inputs, the computer system will automatically create the desired elements, such as members, braces, or joints, based on user inputs. The computer system may also adjust existing elements, mesh elements, and parameterize elements based on user inputs received via an interface displayed on the computer system.

A system for designing and manufacturing a mold structure for high-strength steel comprises a 3D modeling unit to design a mold structure based on surface topography information and physical property information about a forming material using a 3D modeling program, a forming load simulation unit to apply stepwise forming loads to a shell of the mold structure while the forming material is formed in the mold structure designed by the 3D modeling unit and to simulate a distribution of the forming loads of the mold structure, a numerical analysis unit to produce a stress and degree of deformation of the mold structure according to the forming load distribution and then analyze a possible wear portion and deformation rate of the wear portion, and an optimal parameter producing unit to provide an reinforcement parameter for reinforcing a design (structural) parameter or physical property value of the wear portion.

The analysis method of optimizing a joint location of an automotive body of this disclosure is to determine an additional welded point 75 to be added to an automotive body frame model 31, including: an automobile model generation step S3 to generate an automobile model by joining the automotive body frame model 31 to a chassis model 51 via a joining portion; a driving analysis step S5 to perform a driving analysis of the automobile model to acquire a load generated at the joining portion during driving; an optimization analysis model generation step S7 to generate an optimization analysis model 71 by setting welding candidates 73 on the automotive body frame model 31; an optimization analysis condition setting step S9 to set optimization analysis conditions; and an optimization analysis step S11 to apply the load generated at the joining portion to the optimization analysis mode 71 to select an additional welded point 75 that satisfies the optimization analysis conditions from the welding candidates 73.

A computer-implemented method for designing a 3D modeled object. The 3D modeled object represents a mechanical part formed in a material having an anisotropic behavior with respect to a physical property. The method includes obtaining a 3D finite element mesh and data associated to the 3D finite element mesh. The data associated to the 3D finite element mesh includes a plurality of forces and boundary conditions. The plurality of forces forms multiple load cases. The method further comprises optimizing an orientation field distributed on the 3D finite element mesh with respect to an objective function. The objective function rewards orientation continuity with respect to the physical property. The optimizing is based on the 3D finite element mesh and on the data associated to the 3D finite element mesh. This constitutes an improved method for designing a 3D modeled object.