Systems and approaches for controlling an injection molding machine and a mold forming a mold cavity and being controlled according to an injection cycle. The systems and methods include analyzing a model of at least one of the injection molding machine, the mold, and a molten material to determine initial values for one or more control parameters of the injection molding machine, and executing a run of injection cycles at the injection molding machine; measuring operation of the injection molding machine during a particular injection cycle of the run of injection cycles; determining one or more operational parameters exceed a threshold; and upon determining that the one or more operational parameters exceed the threshold, adjusting the one or more control parameters for subsequent injection cycles of the run of injection cycles.

Control method, control system, computer-implemented method for determining a predicted weight value of a product produced by an injection molding device and a computer-implemented method for training a machine learning (ML) via an ML method, wherein the trained ML model is configured to determine the predicted weight value of the product produced via the injection molding device, where the method comprises recording and/or determining first production parameters of the injection molding device during production of a first product, recording and/or determining predecessor production parameters of the injection molding device during production of at least one predecessor product and each predecessor weight value of the at least one predecessor product, recording and/or determining a first weight value for the first product, and training the ML model, via a supervised learning method, with the first product parameters, further product parameters, at least one predecessor weight value, and the first weight value.

An anti-warping design method for designing a resin molded article on a programmed computer includes dividing the molded article into a plurality of small elements, calculating sensitivity values for at least part of the elements with respect to warpage of the molded article, and displaying a distribution of the sensitivity values.

An exemplary method for simulating an injection molding process may include first generating a mesh model of a structure, and generating a mesh model of an injection unit molding machine, including at least a screw tip of the injection unit. The method may then include providing the ability to specify a material to be injected into the structure, configuring parameters in different zones of at least the injection unit, combining the mesh models of the structure and the injection unit, and providing the ability to apply at least one of a velocity and a pressure profile of the screw tip. The method may then include running a simulated operation of the combined mesh models of the injection unit and the structure.

The present disclosure provides a method for operating a molding system. The molding system includes a molding machine and a mold disposed on the molding machine, wherein the mold has a mold cavity for being filled with a molding material from the molding machine. The method comprises a step of obtaining a predetermined state waveform expressing a predetermined volumetric variation of the molding material. Next, the method further comprises obtaining a measured pressure and a measured temperature of the molding material in the mold cavity while performing a molding process for filling the molding material into the mold cavity. Next, the method includes obtaining a detected volumetric property of the molding material corresponding to the measured pressure and the measured temperature. Subsequently, the method comprises displaying the detected volumetric property of the molding material with the predetermined state waveform.

Provided is a flow analysis method capable of predicting a flow state of a composite resin material by taking into account a change in filler dispersion degree of the composite resin material. In a flow analysis method for a composite resin material having a filler and a resin, in a certain process of identifying a region in which the composite resin material flows and analyzing a flow, an exothermic reaction speed of the composite resin material in the region is computed using a filler dispersion degree Vwf in the composite resin material, a temperature and the filler dispersion degree Vwf of the composite resin material in the region is computed using the computed exothermic reaction speed, and an exothermic reaction speed in a process subsequent to a process to is computed using the computed filler dispersion degree Vwf.

A system includes a cavity, an injection nozzle configured to inject material into the cavity, and a plurality of sensors at sensor locations. Each of the plurality of sensors is configured to measure parameters at one of the sensor locations. The system lacks a strain gauge. The system further includes a controller configured to control a flow rate of the injection of material into the cavity. The controller is configured to receive the measured parameters and compare the received information to predetermined curves. The controller is configured to control the flow rate when the measured parameters deviate from the predetermined curves.

Provided are molds for polar anisotropic ring-shaped bonded magnet molded articles which enable the production of bonded magnet molded articles with a high degree of roundness and only slight distortion, without the need for mold modification and preparation of a test mold, and a method of preparing such molds. The present invention relates to a method of preparing a mold for a polar anisotropic ring-shaped bonded magnet molded article, the method including: 1) determining the shrinkage length (Tc) of a desired polar anisotropic ring-shaped bonded magnet molded article using the following equation: Tc=T?(?1/100??2/100); 2) determining the radius (Dm) of a magnetic pole portion of a mold cavity using the following equation: Dm=D/(1??2/100); and 3) defining the outer peripheral shape of the mold cavity from the Tc, the Dm, and the number (P) of magnetic poles of the molded article.

A molding system comprises a mold, a molding machine, a computing apparatus, and a controller. The computing apparatus is programmed to perform a first simulation to generate a velocity distribution and a temperature distribution of the molding material in a first portion of a simulating domain and a second simulation to generate a melting distribution of the solid decorating film in a second portion of the simulating domain, wherein the simulating domain corresponds to the mold cavity. The first molding simulation is to performed using a molding condition of the molding machine to set a boundary condition of the first portion, and the second molding simulation is performed using the velocity distribution and the temperature distribution of the molding material to set a boundary condition of the second portion.

A method of molding includes providing a physical mold having a plurality of physical sensors at sensor locations and providing pressure, volume, and temperature curves for a desired flow rate profile of an injection material at the sensor locations. The method also includes injecting the injection material into the physical mold at a physical flow rate corresponding to the desired flow rate profile and monitoring pressure, volume, and temperature of the injection material by the physical sensors. The method further includes controlling the physical flow rate when the monitored pressure, volume, or temperature of the injection material deviates from the pressure, volume, and temperature curves.