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Position-dependent FRF identification without force measurement in milling process

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Abstract

Frequency response functions (FRFs) are one of the most useful methods for representing machine tool dynamics under force excitation. FRFs are usually obtained empirically through output measurements, and force excitations are controlled by an external device such as hammers or shakers. This study offers an operational identification method that utilizes the calculation of force applied during the process as an input for FRF identification. Force excitation is provided through the face milling of a thin-walled workpiece, and acceleration measurements are taken during the process. The FRF is calculated at a designated position by sampling workpiece-cutting tool contacts as individual tap tests and substituting a force calculation as input. Force coefficients need to be known for the force calculation. An experimental force coefficient identification method is proposed. In that case, a similar thin-walled workpiece at a point with known FRF and acceleration measurements is utilized. Results are confirmed with FRFs obtained in the same location for both FRF identification and force coefficient identification approaches.

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Funding

This work is partially funded by the Scientific and Technological Research Council of Turkey under grant number TUBİTAK 218M430 and METU BAP with grant number AGEP-302-2022-10998.

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Contributions

All authors contributed to the development of method and experimentation. Author Barış Altun has worked on development of the method and preparation experiment procedure. Author Hakan Çalışkan has worked on the experimentation procedure, and advised during theoretical development of identification methods. Author Orkun Özşahin has provided expertise and equipment at data acquisition, and advised during theoretical development of identification methods. All authors have contributed into editing the manuscript. All authors read and approved the final manuscript.

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Correspondence to Barış Altun.

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The authors have no relevant financial or non-financial interests to disclose. There is no human\animal subject in this research. All of the materials and equipment used in this research are non-sentient.

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There is no human\animal subject in this research. All of the materials and equipment used in this research are non-sentient.

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There is no human\animal subject in this research. All of the materials and equipment used in this research are non-sentient.

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Altun, B., Çalışkan, H. & Özşahin, O. Position-dependent FRF identification without force measurement in milling process. Int J Adv Manuf Technol 128, 4981–4996 (2023). https://doi.org/10.1007/s00170-023-11925-w

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