The present disclosure provides a method of producing a molded product. The method comprises steps of performing, via computer-assisted engineering simulation software, a first simulation process to generate a plurality of molding conditions comprising a default injection velocity profile and a default packing pressure profile; conducting, via an injection-molding apparatus, a trial molding to inject a molding material into a mold using the default molding conditions and sensing a plurality of in-mold pressures at different sites in a mold cavity of the mold; and conducting, via an injection-molding apparatus, an actual molding to produce the molded product using the default molding conditions if a deviation of the in-mold pressures at an endpoint of a packing stage is less than a target value.

A computer-implemented method, computer program, system and apparatus for computing a thermal thickness and providing pre-manufacturing feedback on a design of a three-dimensional physical object that is to be formed by solidification of a fluid in a mold. An equation is solved, representing heat release through the cavity-mold interface when the object is formed. The thermal thickness and its uniformity provide insight in the manufacturability of the object, and may be used to automatically generate pre-manufacturing feedback. The thermal thickness and pre-manufacturing feedback are transmitted or displayed to a user.

A method (100) for converting a predetermined floor plan (1) into a formwork plan (2), comprising the steps of: the predetermined floor plan (1) is provided by a user (105); a catalogue (3, 3a-3c) is provided (110) which assigns a spatial arrangement (31b-33b) of formwork elements to a plurality of patterns (31a-33a) for courses of planned walls (11); in areas of the given ground plan (1) in which no occurrences of patterns (31a-33a) contained in the catalogue (3, 3a-3c) have yet been found, occurrences of a pattern (31a-33a) contained in the catalogue (3, 3a-3c) are searched for (120); for each occurrence of the pattern (31a-33a) found, the spatial arrangement (31b-33b) of formwork elements which the catalogue (3, 3a-3c) assigns to the pattern (31a-33a) is added (130) to the formwork plan (2); it is checked (150) whether the specified floor plan (1) has been completely processed; in response to the fact that the given floor plan (1) has not been completely worked through, a check (160) is made to see whether the catalog contains further patterns (31a-33a) which have not yet been searched for in the given floor plan (1); in response to the fact that the catalogue (3, 3a-3c) contains such further patterns (31a-33a), one of these further patterns (31a-33a) is used to branch (170) back to the search (120) in the part of the given floor plan (1) which has not yet been processed.

Rotational moulding system configured for determining at least one suitable temperature-time program and at least one suitable motion-time program for the rotational moulding of an object by means of the rotational moulding system on the basis of a predetermined rotational moulding thermal characteristic of a raw material to be used for the rotational moulding of the object. Computer-implemented method for using the rotational moulding system.

A system for setting injection-molding conditions and a method for setting actual molding conditions of an injection-molding machine are disclosed. The system includes a computer and an injection-molding equipment. The computer is configured to simulate, via computer-aided simulation software, a virtual molding using a plurality of design parameters to generate a plurality of provisional molding conditions. The injection-molding equipment is associated with the computer and configured to perform at least one trial molding using the provisional molding conditions to obtain a plurality of intermediate molding conditions. The computer optimizes the provisional molding conditions to obtain actual molding conditions in accordance with the intermediate molding conditions.

In various embodiments, a stylization subsystem automatically modifies a three-dimensional (3D) object design. In operation, the stylization subsystem generates a simplified quad mesh based on an input triangle mesh that represents the 3D object design, a preferred orientation associated with at least a portion of the input triangle mesh, and mesh complexity constraint(s). The stylization subsystem then converts the simplified quad mesh to a simplified T-spline. Subsequently, the stylization subsystem creases one or more of edges included in the simplified T-spline to generate a stylized T-spline. Notably, the stylized T-spline represents a stylized design that is more convergent with the preferred orientation(s) than the 3D object design. Advantageously, relative to prior art approaches, the stylization subsystem can more efficiently modify the 3D object design to improve overall aesthetics and manufacturability.

Computer simulation system configured for determining at least one simulation variable on the basis of a predetermined rotational moulding thermal characteristic of a raw material to be used for the rotational moulding of an object and a simulation of the rotational moulding of the object by means of the virtual rotational moulding system. Computer-implemented method for using the computer simulation system.

Provided is a machine learning method of a learning model that outputs a variable parameter that is configured to reduce the degree of defect of a molded article obtained by actual molding and relates to molding conditions of a molding machine in a case where observation data obtained by observing a physical quantity relating to actual molding using the molding machine is input. The machine learning method includes: a step of simulating a molding process by setting a variable parameter and a fixed parameter to a fluid analysis device; a step of acquiring a defect-related parameter that is obtained by simulation and relates to the degree of defect of the molded article; a step of calculating the degree of defect of the molded article on the basis of the acquired defect-related parameter; and a step of causing the learning model to perform machine learning by using the variable parameter set to the fluid analysis device and reward corresponding to the calculated degree of defect.

The invention provides a method for producing a component (100) having a cooling channel system, the method comprising: building a first portion (10) of the component (100) by means of the additive, integrally bonded application of a build material; and—introducing a first cavity (11) having an opening into the first portion (10) of the component (100). The method is characterized in that it also comprises: covering the opening of the first cavity (11) in the first portion (10) by means of a covering part (13);—building a second portion (20) of the component (100) by means of the additive, integrally bonded application of the build material, the build material being applied to the first portion (10) and to the covering part (13); introducing a second cavity (21) having an opening into the second portion (20) of the component (100); and—introducing a connecting channel (90), (90a) into the component (100) by means of material-removing machining in order to form the cooling channel system, the connecting channel (90), (90a) connecting the second cavity (21) of the second portion (20) to the first cavity (11) of the first portion (10) of the component (100).

The present disclosure provides a method for collecting parameters for casting solidification simulation and a gridded design method for a pouring and riser system, comprising calculating thermodynamic parameters of a superalloy; obtaining cooling curves of the superalloy with different thickness; measuring a linear expansion coefficient of the superalloy as a function of temperature; the design method comprising: simulating a solidification process with tubular features of different thickness, and determining a feeding distance of the features of different thickness; establishing a gridded pouring and riser system, dividing the casting into a plurality of modules according to the thickness, and dividing a cell inside each module, and ensuring that a size of the cell is less than the feeding distance with the thickness; simulating filling and solidification of castings and the gridded pouring and riser system, and analyzing simulation results of defects.