Method and device for setting operating parameters of a laser material processing machine

US12282319B2 · kind B2 · utility

Assignee

• Robert Bosch GmbH · DE

Inventors

• Alexander Ilin · Ludwigsburg, DE
• Anna Eivazi · Renningen, DE
• Heiko Ridderbusch · Schwieberdingen, DE
• Julia Vinogradska · Stuttgart, DE
• Petru Tighineanu · Schlossgut Harteneck, DE

Key dates

• Filing date: Oct 25, 2021
• Grant date: Apr 22, 2025
• Expiry date: Nov 4, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B2219/45139
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A method for setting operating parameters of a system, in particular, a manufacturing machine, with the aid of Bayesian optimization of a data-based model, which (in the Bayesian optimization) is trained to output a model output variable, which characterizes an operating mode of the system, as a function of the operating parameters. The training of the data-based model takes place as a function of at least one experimentally ascertained measured variable of the system and the training also taking place as a function of at least one simulatively ascertained simulation variable. The measured variable and the simulation variable each characterize the operating mode of the system. The measured variable and/or the simulation variable is transformed during training with the aid of an affine transformation.