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.

A method for predicting pressures in an injection molding system for molding plastic parts requires providing a mold that has at least one channel with each additional channel having a constant cross-sectional shape along its length and each channel having different thicknesses with a constant cross-sectional shape along its length. At least one first sensor configured to collect pressure data from each channel is provided. At least three second sensors configured to detect the presence of plastic located at known distances downstream of the at least one first sensor. Molten plastic is injected in each of the channels and sensor data is collected for the molten plastic flowing through each channel. A curve is fitted to progressive measured occurrences of pressure at the first sensor when plastic is first detected at each of the second sensors for each channel. Pressure can be predicted for a given flow rate, temperature, and channel thickness at, between, or beyond the measured occurrences.

A method for simulating a fiber orientation in an injection-molded part made of a fiber-reinforced plastic. An orientation of the fibers in the injection-molded part to be manufactured that is present after the injection molding is determined via a macroscopic simulation of the injection molding. The macroscopic simulation of the injection molding takes place using macroscopic physical parameters of the fiber-reinforced plastic. In the macroscopic simulation, a temporal development of the fiber orientation tensor is determined via a combination of two macroscopic models. A first temporal development of the fiber orientation tensor is determined via a first macroscopic model based on shear flows. A second temporal development of the fiber orientation tensor is determined via a second macroscopic model based on elongation flows. The method is applied in a method for designing an injection-molded part made of a fiber-reinforced plastic.

Disclosed herein are a computer-implemented method and a design system for designing a molding process for manufacturing at least one component. The computer-implemented method includes a) retrieving three-dimensional geometrical data describing a candidate shape of a mold cavity; b) analyzing the geometrical data; c) automatically interpreting at least one analysis result generated in step b) by subjecting the analysis result to at least one target specification; and d) outputting at least one interpretation result generated in step c), the interpretation result describing at least one quality of one or both of the molding process and a part design using the candidate shape of the mold cavity.

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.

The invention relates to a method which is used to operate an injection molding machine for processing plastics, which has a mold closing unit (F) for opening and closing an injection mold (M) having at least one mold cavity (12) in order to produce an injection molded part (13), an injection molding unit (S) for plasticizing and injecting new plasticizable material into the mold cavity (12), and a control system (11) for operating the injection molding machine (10). Stored in the control system is expert knowledge (E) about the operation of the injection molding machine and the peripheral devices (P) of the latter which may possibly be present and about the production of injection molded parts (13) using injection molding technology, in order to produce an injection molded part (13) using interactive contact as needed by an operator by using injection molding parameters. The fact that, in further steps, information about the component or the mold cavity (12) is provided to the control system (10) means that the plant and process parameters required for the production of the injection molded part (13) can be calculated by the control system (10) before the first injection molded part is produced, such that an alternative procedure for the operator-friendly setting of a machine for processing plastics is made available.

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.

A method for aligning a simulation of a process to be carried out with a shaping machine with the process really carried out, includes calculating a simulation progression of a variable characteristic of the process, measuring in the process really carried out a measurement progression of the characteristic variable, determining first distinguishing points of the curve of the simulation progression and second distinguishing points of the curve of the measurement progression, mapping the first distinguishing points and the second distinguishing points, calculating a modification parameter for the simulation and/or the process from coordinates of the first distinguishing points and second distinguishing points mapped to each other, and modifying the simulation and/or the process based on the modification parameter and carrying it out again.

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.

The present disclosure provides a molding system for preparing an injection-molded plastic article. 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 including a plurality of polymer chains; a processing module configured to generate an anisotropic viscosity distribution of the molding resin in the mold cavity based on a molding condition for the molding machine; wherein the anisotropic viscosity distribution of the molding resin is generated based in part on consideration of an integral effect of a volume fraction and an aspect ratio of the plurality of fibers; and a controller coupled to the processing module and configured to control the molding machine with the molding condition using the generated anisotropic viscosity distribution of the molding resin to perform an actual molding process for preparing the injection-molded plastic article.