Computer Implemented Method Of And Optimisation Tool For Refinement Of Laser Cutting Processing Parameters By Means Of An Optimization Tool

An optimization tool configured to execute a calculating of optimized machine- and material-specific process parameters, including cutting parameters, for a laser cutting process for cutting a workpiece, being a sheet metal to be executed on a laser machine, having specific machine properties, with the method comprising the steps of:

• providing a property interface configured to receive at least one of determined material and machine properties for which the process parameters should be optimized;
• providing a parameter interface configured to receive preconfigured initial process parameters;
• providing a processor configured to execute a re-optimization algorithm until a target objective function is minimized or maximized for calculating optimized material-specific process parameters by accessing a storage with a statistical model, wherein the processor comprises:
• i. a controller configured to control execution of test processes with the determined preconfigured initial process parameters;
• ii. an evaluation module configured to evaluate the test processes by using the measurement-based algorithm or a preference-based algorithm for determining preferences for the test processes;
• and
• wherein the processor is adapted to re-define a parameter domain for the re-optimization algorithm based on the determined preferences of the evaluation module.

A computer program comprising a computer program code, the computer program code when executed by a processor causing the optimization tool to:

• control a property interface configured to receive at least one of determined material and machine properties for which the process parameters should be optimized;
• control a parameter interface configured to receive preconfigured initial process parameters;
• control a processor configured to execute a re-optimization algorithm until a target objective function is minimized or maximized for calculating optimized material-specific process parameters by accessing a storage with a statistical model, wherein the processor comprises:
• i. a controller configured to control execution of test processes with the determined preconfigured initial process parameters;
• ii. an evaluation module configured to evaluate the test processes by using a measurement-based algorithm or a preference-based algorithm for determining preferences for the test processes;
• and
• wherein the processor is adapted to redefine a parameter domain for the re-optimization algorithm based on the determined preferences of the evaluation module.