Towards decision-support for minimizing vibration risk: considering uncertainties in a vibration evaluation model in milling operations

Minimizing the vibration risk is of utmost importance in the machining workshop. This issue prevails and critically impacts indicators such as tool life, surface quality, and overall stability. Effectiveness in vibration mitigation is desired not only to enhance the durability of the cutting tools but also to achieve the required precision from the product specifications. Even though, several methods for its characterization exist, such as stability lobe diagrams, these have proven to have limitations in practical applications. The reason for this is that while stability lobe diagrams are theoretically valuable, they often introduce substantial uncertainties due to the variability in the elements used for their construction. Consequently, this uncertainty diminished the accuracy of the predicted stability boundaries and rendered them useless for users in the industry. This research addresses these challenges by quantifying these uncertainties and their influence on the stability limits. Finally, the aim is to consider these uncertainties inherent to the vibration evaluation model to support the user in the decision-making process for the cutting parameters in the machining cycle despite the uncertainties.