Abstract
Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle.
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