Methods for producing blow molding instructions for a bottle preform, including creating a first set of first blow molding experiments for blow molding a selected preform design into a target bottle design, each experiment having a different set of blow molding parameters, simulating each experiment of the first set of blow molding experiments using a simulation software program, selecting a group of experiments from the first blow molding experiments based on downselection criteria including wall thickness, section weight, and elastic modulus×wall thickness, creating a second set of blow molding experiments based on characteristics of the downselected group of first experiments, simulating each experiment of the second set of blow molding experiments using the simulation software program, selecting an experiment from the second blow molding experiments based on characteristics of the selected experiment's simulated preform and simulated blown bottle, and producing blow molding instructions based on the selected experiment.

A molding shrinkage ratio is predicted according to molding conditions set in advance in designing a mold. A machine learning device includes an input data acquiring unit that acquires input data including any molding condition including a type of resin, a type of additive, a blending ratio of the additive, a surface temperature of a mold, and a product of a holding pressure and a holding pressure time for any article molded by any injection molding machine, a label acquiring unit that acquires label data indicating a molding shrinkage ratio in a flow direction and a molding shrinkage ratio in a vertical direction perpendicular to the flow direction of a resin measured of the article molded at the molding condition, and a learning unit that executes supervised learning using the input data and the label data, and generates a learned model.

According to examples, an apparatus may include a processor that may access a digital design of a screen device having pores, in which the screen device may be employed to filter liquid from a slurry of the liquid and material elements. The processor may also apply fluid dynamics modeling on the digital design of the screen device to model how the liquid is predicted to flow through the screen device during application of a pressure through the screen device, in which the fluid dynamics modeling is applied on a plurality of digital designs of the screen device having various pore properties with respect to each other and may determine, based on the applied fluid dynamics modeling, the pore property of the various pore properties that is predicted to result in the part being formed to have an optimized attribute and/or the part being formed in a minimum length of time.

Methods, systems, and apparatus, including medium-encoded computer program products, for injection molding warp prediction include: obtaining a mold model and measured shrinkage data for at least one material, predicting an amount of warpage for a part manufactured using the mold by computational simulation of an injection molding process, where the computational simulation uses an internal residual stress model for the part that uses calibrated values for both a coefficient of thermal expansion and an elastic modulus and/or a Poisson's ratio of the at least one material, in at least one direction, for at least thermal stress due to cooling and pressure compensation during and/or after a packing phase of the injection molding process, in accordance with the measured shrinkage data for the at least one material, and providing the amount of warpage predicted for the part manufactured using the mold.

A simulation apparatus predicts a behavior of a curable composition in a formation process in which the curable composition arranged on a shot region of a substrate and a mold are brought into contact with each other to form a film of the curable composition on the shot region. The apparatus includes a processor configured to obtain the behavior of the curable composition by simulation computation, and output data used to display a simulation image simulating the behavior obtained by the simulation computation. The simulation image includes information of an outer periphery of the shot region and information of an edge portion of the film, which are drawn in a mode that enables visual identification of a position of the edge portion of the film with respect to the outer periphery.

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.

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.

Systems and methods are provided for designing casting and finished component models used to fabricate corresponding casting hardware for a casted component and mechanical components fabricated therefrom. One exemplary method involves identifying a first subset of machined casting surfaces in a casting model of the casted component, identifying a second subset of machined feature surfaces in a finished model of the mechanical component, determining respective machine stock values associated the machined feature surfaces based on distances between the respective machined feature surfaces and the machined casting surfaces, and providing graphical indicia of the respective machine stock values that are influenced by the relationship between the respective machine stock values and a machine stock threshold.

An injection mold assembly for injection molding an object includes a first mold tool having a first tool surface and a second mold tool having a second tool surface. The first and the second tool surfaces are cooperatively configured to define a mold cavity between the tool surfaces for an injection molding of an object. The first mold tool has a tool element with a first side that has the first tool surface, and with a second side opposite the first side. Multiple fins extend from the second side of the tool element. A base supports the fins. The tool element, the fins and the base define a coolant flow cavity at the second side of the tool element. A method of designing the mold assembly is also disclosed.

A system for programming a protection device for a molding machine includes a controller for actuating a plurality of molding machine actuators in an actuation sequence, each distinct actuation constituting a respective machine component actuation of an associated machine component. An HMI is operable to: present a GUI specific to a chosen machine component actuation; and for each of a plurality of other machine component actuations, define within the GUI, based on operator input, a rule specifying a state of the chosen machine component actuation relative to a state of the other machine component actuation for preventing interference between the two machine component actuations. The controller is configured, based on the rules defined within the GUI, to trigger an action, upon violation of any one of the rules, for reducing a risk of interference between the chosen machine component actuation and a respective one of the other machine component actuations.