Experimental and Simulative Investigation of Thermomechanical Loads in the Cutting Zone by Machining X30CrMoN-15-1 Steel with CBN tools

Kibireva, Anna; Meurer, Markus; Schraknepper, Daniel; Bergs, Thomas

doi:10.1016/j.procir.2023.06.084

Procedia CIRP

2023

DOI: 10.1016/j.procir.2023.06.084

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Experimental and Simulative Investigation of Thermomechanical Loads in the Cutting Zone by Machining X30CrMoN-15-1 Steel with CBN tools

Anna Kibireva,

Markus Meurer,

Daniel Schraknepper

et al.

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Cited by 2 publications

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An inverse method for automatic determination of material models for metal cutting based on multi-objective optimization

Liu,

Kibireva,

Meurer

et al. 2023

Int J Adv Manuf Technol

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Cutting simulation is a crucial tool that enables engineers and operators to optimize machining processes virtually, before producing physical parts. The accuracy of these simulations relies heavily on validated models, encompassing both friction and material parameters. The prevalent technique for calibrating material models in cutting simulations is the inverse method. This state-of-the-art approach indirectly determines model parameters by comparing simulated outcomes with experimental data. However, the manual calibration process can be complex and time-consuming due to the intricacies of numerical simulation setups and the abundance of material model parameters. To address these challenges, this paper presents a novel fully-automated calibration approach utilizing multi-objective optimization algorithms. This approach integrates a modular design, simplifying the calibration process and enabling automatic calibration of any model parameters within cutting simulations. The approach has been successfully applied to calibrate the model parameters of AISI 1045 and X30CrMoN15-1 materials. Moreover, through a comparison of various optimization algorithms, this paper underscores the efficiency of the swarm optimizer in calibrating model parameters, particularly in scenarios with restricted computational resources.

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An inverse method for automatic determination of material models for metal cutting based on multi-objective optimization

Liu,

Kibireva,

Meurer

et al. 2023

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

Analyzing the Impact of In Situ Workpiece Temperature on Thermally Induced Part Distortion during Turning

Kibireva,

Gerhard,

Meurer

et al. 2024

Procedia CIRP

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Experimental and Simulative Investigation of Thermomechanical Loads in the Cutting Zone by Machining X30CrMoN-15-1 Steel with CBN tools

Cited by 2 publications

References 12 publications

An inverse method for automatic determination of material models for metal cutting based on multi-objective optimization

An inverse method for automatic determination of material models for metal cutting based on multi-objective optimization

Analyzing the Impact of In Situ Workpiece Temperature on Thermally Induced Part Distortion during Turning

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