The present disclosure provides a molding system for preparing molding articles. The molding system includes a molding machine; a mold disposed on the molding machine and having a mold cavity for being filled with a molding resin; a processing module configured to generate a mechanical pressure distribution of the molding resin in the mold cavity based on a molding condition for the molding machine, wherein the mechanical pressure distribution of the molding resin is generated based in part on a bulk viscosity effect of the molding resin; and a controller operably communicating with the processing module and configured to operate the molding machine for transferring the fluid molding material into the mold cavity with the molding condition using the generated pressure distribution of the molding resin to perform an actual molding process for preparing the molding article.

A computer-implemented simulation method for use in a molding process by a computer process is disclosed. The method includes steps of specifying a simulating domain comprising a mold cavity and a barrel of an injection machine, wherein the barrel is configured to connect to the mold cavity; creating at least one mesh by dividing at least part of the simulating domain; specifying boundary conditions of the mesh by taking into consideration at least one motion of a screw in the barrel; and simulating a first injection-molding process of a molding material by using the boundary conditions to generate a plurality of molding conditions.

The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.

A system and methods are disclosed for producing compression-molded components having one or more desired characteristics with respect to one or more objectives. In accordance with one embodiment, a parameter space comprising a set of values of a parameter is defined, where the parameter corresponds to a property of fiber bundles, and where the set of values represents all possible values of the parameter in the parameter space. The parameter space is narrowed, and a statistical model is generated based on a sampling of the narrowed parameter space. A value of the parameter is selected based on the statistical model, and a bundle of fibers conforming to the selected value is produced. A component comprising the bundle of fibers is then manufactured using a compression-molding process.

A digital 3D model of a component to be analyzed is obtained. The component includes regularly patterned holes. A first portion of the model is identified. The first portion includes the regularly patterned holes. A second portion of the model is identified. The second portion includes parts of the model lacking the regularly patterned holes. A flow factor of the first portion is determined. The flow factor indicates flow characteristics of fluid flowing through the first portion with the regularly patterned holes. A numerical fluid simulation is performed using a mesh representative of the component geometry. Performing the numerical fluid simulation includes modifying a flow property of the fluid simulation in the first portion based at least in part on the flow factor.

The present disclosure provides a method for deriving a bulk viscosity of a molding material. The method includes a step of deriving a plurality of parameters in relation to pressures, specific volumes and temperatures (PVT) of the molding material under a plurality of cooling rates and a plurality of mechanical pressures; deriving an equilibrium pressure based on the plurality of parameters obtained from a first slowest cooling rate among the plurality of cooling rates; deriving a rate of volume change of the molding material; and obtaining the bulk viscosity of the molding material based on the rate of volume change.

A method for designing fiber-composite parts in which part performance and manufacturing efficiency can be traded-off against one another to provide an optimized design for a desired use case. In some embodiments, the method involves generating an idealized fiber map, wherein the orientation of fibers throughout the prospective part align with the anticipated load conditions throughout the part, and then modifying the idealized fiber map by various fabrication constraints to generate a process-compensated preform map.

A method of designing a cooling circuit inside a mold that includes therein the cooling circuit that passes through an inlet and an outlet includes a control plane setting step, a reference plane setting step, an intersection line extraction step, and a circuit setting step. The control plane setting step sets a control plane that is perpendicular to the mold surface on the side which comes in contact with a material and that passes through the inlet and the outlet. The reference plane setting step sets a reference plane that is offset by a fixed distance from the mold surface to the inside of the mold. In the intersection line extraction step, an intersection line at which the control plane and the reference plane intersect is extracted. In the circuit setting step, the cooling circuit is set inside the mold along the intersection line.

A process includes: a first casting modelling stage producing resulting casting parameters; a second casting modelling stage performed using the resulting casting parameters of the first casting modelling stage and of higher fidelity than the first casting modelling stage; in parallel with the second casting modelling stage, a casting trial using the resulting casting parameters of the first casting modelling stage; and evaluating the casting trial.

A network system can optimize 3D models for 3D printing. A smoothing operation can be performed for a 3D model that comprises a plurality of voxels by identifying exterior voxels of the 3D model. For a first exterior voxel of the 3D model, an exterior surface orientation can be determined and a smoothing operation can be performed based on the determined exterior surface orientation. The smoothing operation can include performing a triangulation operation based on the determined exterior surface orientation of the first exterior voxel. Furthermore, in response to determining that a dimension of a set of voxels is below a threshold limit, one or more voxels can be added to the set of voxels to satisfy the threshold limit.