Systems and approaches for determining design of experiment parameters using largest empty area rectangle optimization for an injection molding system. The systems and methods include obtaining pressure versus time data sets indicative of fill step pressures and corresponding fill step times for a plurality of mold cycles and defining a low and high pressure versus time curves from the data sets, with the low and high pressure versus time curves being two surfaces of a geometric shape. The systems and methods further include identifying a top surface and a bottom surface of the geometric shape; identifying a rectangle having the largest area of all rectangles contained within the first geometric shape; and generating design of experiment parameters from the largest area rectangle.

Systems and approaches for determining design of experiment parameters using largest empty area rectangle optimization for an injection molding system. The systems and methods include obtaining pressure versus time data sets indicative of fill step pressures and corresponding fill step times for a plurality of mold cycles and defining a low and high pressure versus time curves from the data sets, with the low and high pressure versus time curves being two surfaces of a geometric shape. The systems and methods further include identifying a top surface and a bottom surface of the geometric shape; identifying a rectangle having the largest area of all rectangles contained within the first geometric shape; and generating design of experiment parameters from the largest area rectangle.

A three-dimensional computer model of a cooling mold for a part and a specification of an initial layout of one or more cooling channels integrated into the cooling mold is obtained. Data regarding temperatures of a cavity surface of the cooling mold in contact with the part is produced. Individual portions of the one or more cooling channels are moved toward hotter portions of the cavity surface, without moving any branch junctions of the one or more cooling channels and while keeping one or more diameters of the one or more cooling channels constant.

A method for preparing a fiber-reinforced composite article initially performs a trial molding by a molding machine to prepare a trial composite article of a composite molding material including a polymeric material having a plurality of fibers, wherein the trial composite article has a trial fiber orientation distribution. The method further generates a predicted fiber orientation distribution fitting with the trial fiber orientation distribution, wherein the predicted fiber orientation distribution is generated by performing a first molding simulation for the trial composite article by using physical rheology parameters and physical fiber orientation parameters. The method further performs a second molding simulation for a real composite article by using the physical rheology parameters and the physical fiber orientation parameters to obtain molding conditions for the molding machine, and performs a real molding process by the molding machine by using the molding conditions to prepare the real composite article.

A method for controlling processes on at least one plastics-processing machine. The method comprises the following steps:-performing a simulation so as to produce at least one component with generation of simulation datasets (SD) that relate to an outline of the component and/or material properties,-determining a process image so as to operate the machine at an idealized operating point based on the simulation datasets (SD),-generating a design of experiments (DoE) matrix,-iteratively simulating the DoE matrix with computing of remaining variations of process parameters while reducing the DoE matrix and obtaining a trained process model for the machine, using which a component is able to be produced on the machine,-verifying the remaining variations of process parameters through real tests (40), in which components are produced on the machine and assessed, so as to generate a process parameter dataset (PPD) for subsequent operation of the machine at an operating point (AP), by virtue of an operator communicating interactively with a software communication robot, in particular chatbot, and the method steps comprise at least two artificial intelligences that interact