Review and status of tool tip frequency response function prediction using receptance coupling

Schmitz, Tony; Betters, Emma; Budak, Erhan; Yüksel, Esra; Park, Simon; Altintas, Yusuf

doi:10.1016/j.precisioneng.2022.09.008

Review and status of tool tip frequency response function prediction using receptance coupling

Journal Article · Sat Oct 01 00:00:00 EDT 2022 · Precision Engineering

DOI:https://doi.org/10.1016/j.precisioneng.2022.09.008· OSTI ID:1892405

^[1]; Betters, Emma ^[1]; ^[2]; ^[2]; Park, Simon ^[3]; ^[4]

Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Manufacturing Science Division
Sabanci University, Istanbul (Turkey)
Univ. of Calgary, AB (Canada)
Univ. of British Columbia, Vancouver, BC (Canada)

This paper provides a chronological review of publications that implement and advance the receptance coupling substructure analysis (RCSA) approach first applied to tool tip receptance (or frequency response function) prediction for milling applications in 2000. The review topics mimic the RCSA approach, where the tool, holder, and spindle-machine receptances are coupled analytically, and include: tool-holder receptance modeling; connection modeling; spindle-machine receptances; and applications. The review paper summarizes contributions from multiple, international authors (198 papers) to these topics. Additionally, it provides a comprehensive resource for those beginning an investigation into RCSA.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Manufacturing Office

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1892405

Alternate ID(s):: OSTI ID: 1890747

Journal Information:: Precision Engineering, Journal Name: Precision Engineering Vol. 79; ISSN 0141-6359

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (137)

An identification method for joint structural parameters using an FRF-based substructuring method and an optimization technique Lee, Doo-Ho; Hwang, Woo-Seok Journal of Mechanical Science and Technology, Vol. 21, Issue 12 https://doi.org/10.1007/BF03177459	journal	December 2007
Joint identification of modular tools using a novel receptance coupling method Park, S. S.; Chae, J. The International Journal of Advanced Manufacturing Technology, Vol. 35, Issue 11-12 https://doi.org/10.1007/s00170-006-0826-6	journal	January 2007
Identification of contact stiffness of shrink-fit tool-holder joint based on fractal theory Liao, Jingping; Zhang, Jianfu; Feng, Pingfa The International Journal of Advanced Manufacturing Technology, Vol. 90, Issue 5-8 https://doi.org/10.1007/s00170-016-9506-3	journal	October 2016
Tool point frequency response function prediction using RCSA based on Timoshenko beam model Qi, Bin; Sun, Yuwen; Li, Zhongyun The International Journal of Advanced Manufacturing Technology, Vol. 92, Issue 5-8 https://doi.org/10.1007/s00170-017-0236-y	journal	April 2017
Improving FEM model of low immersion milling process using multi-objective optimization of tool elastic support dynamic properties Pour, Masoud; Ghorbani, Hamid The International Journal of Advanced Manufacturing Technology, Vol. 92, Issue 5-8 https://doi.org/10.1007/s00170-017-0261-x	journal	March 2017
An efficient experimental approach to identify tool point FRF by improved receptance coupling technique Liao, Jingping; Yu, Dingwen; Zhang, Jianfu The International Journal of Advanced Manufacturing Technology, Vol. 94, Issue 1-4 https://doi.org/10.1007/s00170-017-0957-y	journal	August 2017
Prediction of tool tip dynamics for generalized milling cutters using the 3D model of the tool body Tunc, Lutfi Taner The International Journal of Advanced Manufacturing Technology, Vol. 95, Issue 5-8 https://doi.org/10.1007/s00170-017-1286-x	journal	November 2017
A new method using double distributed joint interface model for three-dimensional dynamics prediction of spindle-holder-tool system Yang, Yun; Wan, Min; Ma, Ying-Chao The International Journal of Advanced Manufacturing Technology, Vol. 95, Issue 5-8 https://doi.org/10.1007/s00170-017-1394-7	journal	November 2017
Surface location error prediction and stability analysis of micro-milling with variation of tool overhang length Wang, Dongqian; Wang, Xibin; Liu, Zhibing The International Journal of Advanced Manufacturing Technology, Vol. 99, Issue 1-4 https://doi.org/10.1007/s00170-018-2446-3	journal	August 2018
Ensemble transfer learning for refining stability predictions in milling using experimental stability states Postel, M.; Bugdayci, B.; Wegener, K. The International Journal of Advanced Manufacturing Technology, Vol. 107, Issue 9-10 https://doi.org/10.1007/s00170-020-05322-w	journal	April 2020
An improved rapid prediction method of the milling tool point frequency response function Li, Xiaoru; Zhu, Jianmin; Tian, Fengqing The International Journal of Advanced Manufacturing Technology, Vol. 110, Issue 3-4 https://doi.org/10.1007/s00170-020-05929-z	journal	August 2020
Substructure analysis of vibration-assisted drilling systems Ostad Ali Akbari, Vahid; Ahmadi, Keivan The International Journal of Advanced Manufacturing Technology, Vol. 113, Issue 9-10 https://doi.org/10.1007/s00170-021-06777-1	journal	February 2021
On time-domain methods for milling stability analysis Ding, Han; Ding, Ye; Zhu, LiMin Chinese Science Bulletin, Vol. 57, Issue 33 https://doi.org/10.1007/s11434-012-5499-y	journal	November 2012
Efficient joint identification and fluted segment modelling of shrink-fit tool assemblies by updating extended tool models Brecher, Christian; Chavan, Prateek; Fey, Marcel Production Engineering, Vol. 15, Issue 1 https://doi.org/10.1007/s11740-020-00999-0	journal	December 2020
On the use of structural dynamics in virtual manufacturing Vasquez, Rafael E. International Journal on Interactive Design and Manufacturing (IJIDeM), Vol. 11, Issue 1 https://doi.org/10.1007/s12008-014-0240-5	journal	September 2014
Identification of practical spindle-tool interface parameters using an optimization based statistical approach Shaik, Jakeer Hussain; Srinivas, J.; Srinivas Rao, T. Sādhanā, Vol. 46, Issue 2 https://doi.org/10.1007/s12046-021-01635-y	journal	June 2021
Modelling and characteristic investigation of spindle-holder assembly under clamping and centrifugal forces Wan, Shaoke; Hong, Jun; Du, Fei Journal of Mechanical Science and Technology, Vol. 33, Issue 5 https://doi.org/10.1007/s12206-019-0438-3	journal	May 2019
A Modeling Approach for Analysis and Improvement of Spindle-Holder-Tool Assembly Dynamics Budak, E.; Ertürk, A.; Özgüven, H. N. CIRP Annals, Vol. 55, Issue 1 https://doi.org/10.1016/S0007-8506(07)60437-5	journal	January 2006
Dynamic Compensation of Spindle-Integrated Force Sensors Altintas, Y.; Park, S. S. CIRP Annals, Vol. 53, Issue 1 https://doi.org/10.1016/S0007-8506(07)60703-3	journal	January 2004
Improving High-Speed Machining Material Removal Rates by Rapid Dynamic Analysis Schmitz, T. L.; Davies, M. A.; Medicus, K. CIRP Annals, Vol. 50, Issue 1 https://doi.org/10.1016/S0007-8506(07)62119-2	journal	January 2001
Analytical Prediction of Stability Lobes in Milling Altintaş, Y.; Budak, E. CIRP Annals, Vol. 44, Issue 1 https://doi.org/10.1016/S0007-8506(07)62342-7	journal	January 1995
Predicting High-Speed Machining Dynamics by Substructure Analysis Schmitz, T. L.; Donalson, R. R. CIRP Annals, Vol. 49, Issue 1 https://doi.org/10.1016/S0007-8506(07)62951-5	journal	January 2000
A methodology to measure joint stiffness parameters for toolholder-spindle interfaces Agapiou, John S. Journal of Manufacturing Systems, Vol. 24, Issue 1 https://doi.org/10.1016/S0278-6125(05)80003-2	journal	January 2005
Receptance coupling for end mills Park, Simon S.; Altintas, Yusuf; Movahhedy, Mohammad International Journal of Machine Tools and Manufacture, Vol. 43, Issue 9 https://doi.org/10.1016/S0890-6955(03)00088-9	journal	July 2003
Robust chatter stability in micro-milling operations Park, S. S.; Rahnama, R. CIRP Annals, Vol. 59, Issue 1 https://doi.org/10.1016/j.cirp.2010.03.023	journal	January 2010
Investigation of spindle bearing preload on dynamics and stability limit in milling Ozturk, E.; Kumar, U.; Turner, S. CIRP Annals, Vol. 61, Issue 1 https://doi.org/10.1016/j.cirp.2012.03.134	journal	January 2012
Chatter suppression techniques in metal cutting Munoa, J.; Beudaert, X.; Dombovari, Z. CIRP Annals, Vol. 65, Issue 2 https://doi.org/10.1016/j.cirp.2016.06.004	journal	January 2016
Suppressing vibration modes of spindle-holder-tool assembly through FRF modification for enhanced chatter stability Mohammadi, Yaser; Azvar, Milad; Budak, Erhan CIRP Annals, Vol. 67, Issue 1 https://doi.org/10.1016/j.cirp.2018.03.003	journal	January 2018
Prediction of coupled torsional–axial vibrations of drilling tool with clamping boundary conditions Jin, Xiaoliang; Koya, Narahara Gopal CIRP Journal of Manufacturing Science and Technology, Vol. 13 https://doi.org/10.1016/j.cirpj.2016.02.001	journal	May 2016
Receptance coupling based algorithm for the identification of contact parameters at holder–tool interface Matthias, W.; Özşahin, O.; Altintas, Y. CIRP Journal of Manufacturing Science and Technology, Vol. 13 https://doi.org/10.1016/j.cirpj.2016.02.005	journal	May 2016
Improving stability predictions in milling by incorporation of toolholder sound emissions Ostad Ali Akbari, Vahid; Postel, M.; Kuffa, M. CIRP Journal of Manufacturing Science and Technology, Vol. 37 https://doi.org/10.1016/j.cirpj.2022.02.012	journal	May 2022
Analytical modeling of asymmetric multi-segment rotor – bearing systems with Timoshenko beam model including gyroscopic moments Özşahin, O.; Özgüven, H. N.; Budak, E. Computers & Structures, Vol. 144 https://doi.org/10.1016/j.compstruc.2014.08.001	journal	November 2014
Structural modeling of end mills for form error and stability analysis Kivanc, E. B.; Budak, E. International Journal of Machine Tools and Manufacture, Vol. 44, Issue 11 https://doi.org/10.1016/j.ijmachtools.2004.04.002	journal	September 2004
An investigation of the dynamic absorber effect in high-speed machining Duncan, G. S.; Tummond, M. F.; Schmitz, T. L. International Journal of Machine Tools and Manufacture, Vol. 45, Issue 4-5 https://doi.org/10.1016/j.ijmachtools.2004.09.005	journal	April 2005
Prediction of spindle dynamics in milling by sub-structure coupling Movahhedy, Mohammad R.; Gerami, Javad M. International Journal of Machine Tools and Manufacture, Vol. 46, Issue 3-4 https://doi.org/10.1016/j.ijmachtools.2005.05.026	journal	March 2006
Analytical models for high performance milling. Part II: Process dynamics and stability Budak, E. International Journal of Machine Tools and Manufacture, Vol. 46, Issue 12-13 https://doi.org/10.1016/j.ijmachtools.2005.09.010	journal	October 2006
Analytical modeling of spindle–tool dynamics on machine tools using Timoshenko beam model and receptance coupling for the prediction of tool point FRF Ertürk, A.; Özgüven, H. N.; Budak, E. International Journal of Machine Tools and Manufacture, Vol. 46, Issue 15 https://doi.org/10.1016/j.ijmachtools.2006.01.032	journal	December 2006
Effect analysis of bearing and interface dynamics on tool point FRF for chatter stability in machine tools by using a new analytical model for spindle–tool assemblies Ertürk, A.; Özgüven, H. N.; Budak, E. International Journal of Machine Tools and Manufacture, Vol. 47, Issue 1 https://doi.org/10.1016/j.ijmachtools.2006.03.001	journal	January 2007
Modeling and identification of tool holder–spindle interface dynamics Namazi, Mehdi; Altintas, Yusuf; Abe, Taro International Journal of Machine Tools and Manufacture, Vol. 47, Issue 9 https://doi.org/10.1016/j.ijmachtools.2006.08.003	journal	July 2007
Shrink fit tool holder connection stiffness/damping modeling for frequency response prediction in milling Schmitz, Tony L.; Powell, Kevin; Won, Dongki International Journal of Machine Tools and Manufacture, Vol. 47, Issue 9 https://doi.org/10.1016/j.ijmachtools.2006.08.009	journal	July 2007
Selection of design and operational parameters in spindle–holder–tool assemblies for maximum chatter stability by using a new analytical model Ertürk, A.; Budak, E.; Özgüven, H. N. International Journal of Machine Tools and Manufacture, Vol. 47, Issue 9 https://doi.org/10.1016/j.ijmachtools.2006.08.016	journal	July 2007
Modelling machine tool dynamics using a distributed parameter tool–holder joint interface Ahmadi, Keivan; Ahmadian, Hamid International Journal of Machine Tools and Manufacture, Vol. 47, Issue 12-13 https://doi.org/10.1016/j.ijmachtools.2007.03.004	journal	October 2007
A closed-form approach for identification of dynamical contact parameters in spindle–holder–tool assemblies Özşahin, O.; Ertürk, A.; Özgüven, H. N. International Journal of Machine Tools and Manufacture, Vol. 49, Issue 1 https://doi.org/10.1016/j.ijmachtools.2008.08.007	journal	January 2009
Modeling of dynamic micro-milling cutting forces Malekian, Mohammad; Park, Simon S.; Jun, Martin B. G. International Journal of Machine Tools and Manufacture, Vol. 49, Issue 7-8 https://doi.org/10.1016/j.ijmachtools.2009.02.006	journal	June 2009
Analysis and compensation of mass loading effect of accelerometers on tool point FRF measurements for chatter stability predictions Özşahin, O.; Özgüven, H. N.; Budak, E. International Journal of Machine Tools and Manufacture, Vol. 50, Issue 6 https://doi.org/10.1016/j.ijmachtools.2010.02.002	journal	June 2010
Tool point dynamics prediction by a three-component model utilizing distributed joint interfaces Ahmadian, Hamid; Nourmohammadi, Mostafa International Journal of Machine Tools and Manufacture, Vol. 50, Issue 11 https://doi.org/10.1016/j.ijmachtools.2010.07.003	journal	November 2010
Modeling and experimentation for three-dimensional dynamics of endmills Bediz, Bekir; Kumar, Uttara; Schmitz, Tony L. International Journal of Machine Tools and Manufacture, Vol. 53, Issue 1 https://doi.org/10.1016/j.ijmachtools.2011.09.005	journal	February 2012
Rapid evaluation and optimization of machine tools with position-dependent stability Law, Mohit; Altintas, Yusuf; Srikantha Phani, A. International Journal of Machine Tools and Manufacture, Vol. 68 https://doi.org/10.1016/j.ijmachtools.2013.02.003	journal	May 2013
A new receptance coupling substructure analysis methodology to improve chatter free cutting conditions prediction Albertelli, P.; Goletti, M.; Monno, M. International Journal of Machine Tools and Manufacture, Vol. 72 https://doi.org/10.1016/j.ijmachtools.2013.05.003	journal	September 2013
Receptance coupling for tool point dynamic prediction by fixed boundaries approach Mancisidor, Iker; Urkiola, Aitor; Barcena, Rafael International Journal of Machine Tools and Manufacture, Vol. 78 https://doi.org/10.1016/j.ijmachtools.2013.12.002	journal	March 2014
In-process tool point FRF identification under operational conditions using inverse stability solution Özşahin, O.; Budak, E.; Özgüven, H. N. International Journal of Machine Tools and Manufacture, Vol. 89 https://doi.org/10.1016/j.ijmachtools.2014.09.014	journal	February 2015
Prediction of frequency response function (FRF) of asymmetric tools from the analytical coupling of spindle and beam models of holder and tool Özşahin, O.; Altintas, Y. International Journal of Machine Tools and Manufacture, Vol. 92 https://doi.org/10.1016/j.ijmachtools.2015.03.001	journal	May 2015
Generalized method for the analysis of bending, torsional and axial receptances of tool–holder–spindle assembly Yang, Yun; Zhang, Wei-Hong; Ma, Ying-Chao International Journal of Machine Tools and Manufacture, Vol. 99 https://doi.org/10.1016/j.ijmachtools.2015.08.004	journal	December 2015
Predicting mobile machine tool dynamics by experimental dynamic substructuring Law, Mohit; Rentzsch, Hendrik; Ihlenfeldt, Steffen International Journal of Machine Tools and Manufacture, Vol. 108 https://doi.org/10.1016/j.ijmachtools.2016.06.006	journal	September 2016
Compensation of frequency response function measurements by inverse RCSA Kiran, Kadir; Satyanarayana, Harsha; Schmitz, Tony International Journal of Machine Tools and Manufacture, Vol. 121 https://doi.org/10.1016/j.ijmachtools.2017.04.004	journal	October 2017
A new receptance coupling substructure analysis methodology to predict tool tip dynamics Ji, Yulei; Bi, Qingzhen; Zhang, Shaokun International Journal of Machine Tools and Manufacture, Vol. 126 https://doi.org/10.1016/j.ijmachtools.2017.12.002	journal	March 2018
A practical study of joints in three-dimensional Inverse Receptance Coupling Substructure Analysis method in a horizontal milling machine Ealo, J. A.; Garitaonandia, I.; Fernandes, M. H. International Journal of Machine Tools and Manufacture, Vol. 128 https://doi.org/10.1016/j.ijmachtools.2018.02.002	journal	May 2018
High speed tooltip FRF predictions of arbitrary tool-holder combinations based on operational spindle identification Postel, M.; Özsahin, O.; Altintas, Y. International Journal of Machine Tools and Manufacture, Vol. 129 https://doi.org/10.1016/j.ijmachtools.2018.03.004	journal	June 2018
Effects of a drawbar design and force on multipurpose aerostatic spindle dynamics Cong, Dang Chi; Hwang, Jooho; Shim, Jongyoup International Journal of Machine Tools and Manufacture, Vol. 144 https://doi.org/10.1016/j.ijmachtools.2019.103424	journal	September 2019
Chatter avoidance via structural modification of tool-holder geometry Gibbons, Tom J.; Ozturk, Erdem; Xu, Liangji International Journal of Machine Tools and Manufacture, Vol. 150 https://doi.org/10.1016/j.ijmachtools.2019.103514	journal	March 2020
Physics-informed Bayesian inference for milling stability analysis Chen, Gengxiang; Li, Yingguang; Liu, Xu International Journal of Machine Tools and Manufacture, Vol. 167 https://doi.org/10.1016/j.ijmachtools.2021.103767	journal	August 2021
Identification of joint dynamics in 3D structures through the inverse receptance coupling method Mehrpouya, M.; Sanati, M.; Park, S. S. International Journal of Mechanical Sciences, Vol. 105 https://doi.org/10.1016/j.ijmecsci.2015.11.007	journal	January 2016
An improved method for tool point dynamics analysis using a bi-distributed joint interface model Yang, Yun; Wan, Min; Ma, Ying-Chao International Journal of Mechanical Sciences, Vol. 105 https://doi.org/10.1016/j.ijmecsci.2015.11.014	journal	January 2016
Extending the inverse receptance coupling method for prediction of tool-holder joint dynamics in milling Rezaei, Mohammad Mahdi; Movahhedy, Mohammad R.; Moradi, Hamed Journal of Manufacturing Processes, Vol. 14, Issue 3 https://doi.org/10.1016/j.jmapro.2011.11.003	journal	August 2012
Spindle dynamics identification using particle swarm optimization Ganguly, Vasishta; Schmitz, Tony L. Journal of Manufacturing Processes, Vol. 15, Issue 4 https://doi.org/10.1016/j.jmapro.2013.05.008	journal	October 2013
Analytical solutions for fixed-free beam dynamics in thin rib machining Schmitz, Tony L.; Honeycutt, Andrew Journal of Manufacturing Processes, Vol. 30 https://doi.org/10.1016/j.jmapro.2017.09.002	journal	December 2017
Multi-point coupling for tool point receptance prediction Schmitz, Tony; Honeycutt, Andrew; Gomez, Michael Journal of Manufacturing Processes, Vol. 43 https://doi.org/10.1016/j.jmapro.2019.03.043	journal	July 2019
Stability boundary and optimal operating parameter identification in milling using Bayesian learning Karandikar, Jaydeep; Honeycutt, Andrew; Schmitz, Tony Journal of Manufacturing Processes, Vol. 56 https://doi.org/10.1016/j.jmapro.2020.04.019	journal	August 2020
Reconstruction of cutting forces through fusion of accelerometer and spindle current signals Mostaghimi, Hamid; Park, Chaneel I.; Kang, Guseon Journal of Manufacturing Processes, Vol. 68 https://doi.org/10.1016/j.jmapro.2021.06.007	journal	August 2021
Receptance coupling for dynamics prediction of assemblies with coincident neutral axes Schmitz, Tony L.; Duncan, G. Scott Journal of Sound and Vibration, Vol. 289, Issue 4-5 https://doi.org/10.1016/j.jsv.2005.03.006	journal	February 2006
Closed form solutions for the dynamic response of Euler–Bernoulli beams with step changes in cross section Koplow, Michael A.; Bhattacharyya, Abhijit; Mann, Brian P. Journal of Sound and Vibration, Vol. 295, Issue 1-2 https://doi.org/10.1016/j.jsv.2006.01.008	journal	August 2006
Modelling the spindle–holder taper joint in machine tools: A tapered zero-thickness finite element method Xiao, Weiwei; Mao, Kuanmin; Zhu, Ming Journal of Sound and Vibration, Vol. 333, Issue 22 https://doi.org/10.1016/j.jsv.2014.06.023	journal	October 2014
Rotational degree-of-freedom synthesis: An optimised finite difference method for non-exact data Gibbons, T. J.; Öztürk, E.; Sims, N. D. Journal of Sound and Vibration, Vol. 412 https://doi.org/10.1016/j.jsv.2017.09.031	journal	January 2018
TPA and RCSA based frequency response function modelling for cutting forces compensation Wang, Chenxi; Qiao, Baijie; Zhang, Xingwu Journal of Sound and Vibration, Vol. 456 https://doi.org/10.1016/j.jsv.2019.05.043	journal	September 2019
A machine-learning based solution for chatter prediction in heavy-duty milling machines Oleaga, Ibone; Pardo, Carlos; Zulaika, Juan J. Measurement, Vol. 128 https://doi.org/10.1016/j.measurement.2018.06.028	journal	November 2018
An improved tool–holder model for RCSA tool-point frequency response prediction Filiz, S.; Cheng, C. -H.; Powell, K. B. Precision Engineering, Vol. 33, Issue 1 https://doi.org/10.1016/j.precisioneng.2008.03.003	journal	January 2009
Torsional and axial frequency response prediction by RCSA Schmitz, Tony L. Precision Engineering, Vol. 34, Issue 2 https://doi.org/10.1016/j.precisioneng.2009.08.005	journal	April 2010
Spindle dynamics identification for Receptance Coupling Substructure Analysis Kumar, Uttara V.; Schmitz, Tony L. Precision Engineering, Vol. 36, Issue 3 https://doi.org/10.1016/j.precisioneng.2012.01.007	journal	July 2012
Identification of bearing dynamics under operational conditions for chatter stability prediction in high speed machining operations Özşahin, O.; Budak, E.; Özgüven, H. N. Precision Engineering, Vol. 42 https://doi.org/10.1016/j.precisioneng.2015.03.010	journal	October 2015
Improved RCSA technique for efficient tool-tip dynamics prediction Montevecchi, F.; Grossi, N.; Scippa, A. Precision Engineering, Vol. 44 https://doi.org/10.1016/j.precisioneng.2015.11.004	journal	April 2016
Rapid dynamics prediction of tool point for bi-rotary head five-axis machine tool Zhang, Jun; Li, Jianhui; Xie, Zhennan Precision Engineering, Vol. 48 https://doi.org/10.1016/j.precisioneng.2016.12.003	journal	April 2017
Effect of material removal on workpiece dynamics in milling: Modeling and measurement Kiran, Kadir; Kayacan, Mehmet Cengiz Precision Engineering, Vol. 60 https://doi.org/10.1016/j.precisioneng.2019.09.003	journal	November 2019
Chatter suppression in micro-milling using shank-mounted Two-DOF tuned mass damper Ma, Wenshuo; Yang, Yiqing; Jin, Xiaoliang Precision Engineering, Vol. 72 https://doi.org/10.1016/j.precisioneng.2021.04.017	journal	November 2021
Surface location error prediction in 2.5-axis peripheral milling considering tool dynamic stiffness variation Morelli, Lorenzo; Grossi, Niccolò; Campatelli, Gianni Precision Engineering, Vol. 76 https://doi.org/10.1016/j.precisioneng.2022.03.008	journal	July 2022
An Improved Receptance Coupling Substructure Analysis to Predict Chatter Free High Speed Cutting Conditions Albertelli, P.; Goletti, M.; Monno, M. Procedia CIRP, Vol. 12 https://doi.org/10.1016/j.procir.2013.09.005	journal	January 2013
3D Finite Element Modeling of Holder-Tool Assembly for Stability Prediction in Milling Grossi, Niccolò; Montevecchi, Filippo; Scippa, Antonio Procedia CIRP, Vol. 31 https://doi.org/10.1016/j.procir.2015.03.031	journal	January 2015
Application of Substructure Decoupling Techniques to Predict Mobile Machine Tool Dynamics: Numerical Investigations Law, Mohit; Rentzsch, Hendrik; Ihlenfeldt, Steffen Procedia CIRP, Vol. 46 https://doi.org/10.1016/j.procir.2016.04.126	journal	January 2016
Speed-varying Machine Tool Dynamics Identification Through Chatter Detection and Receptance Coupling Grossi, Niccolò; Sallese, Lorenzo; Montevecchi, Filippo Procedia CIRP, Vol. 55 https://doi.org/10.1016/j.procir.2016.08.022	journal	January 2016
Tool Point Analysis for Bending, Torsional and Axial Receptances of tool-holder-spindle Assembly Yang, Yun; Yuan, Heng; Wan, Min Procedia CIRP, Vol. 56 https://doi.org/10.1016/j.procir.2016.10.071	journal	January 2016
A Receptance Coupling Approach to Optimally Tune and Place Absorbers on Boring Bars for Chatter Suppression Bansal, A.; Law, M. Procedia CIRP, Vol. 77 https://doi.org/10.1016/j.procir.2018.08.267	journal	January 2018
Machine tool design with preferentially asymmetrical structures to improve dynamics and productivity Nagesh, Sitendra; Law, Mohit Procedia CIRP, Vol. 79 https://doi.org/10.1016/j.procir.2019.02.086	journal	January 2019
Identification of spindle dynamics by receptance coupling for non-contact excitation system Özşahin, Orkun; Ritou, Mathieu; Budak, Erhan Procedia CIRP, Vol. 82 https://doi.org/10.1016/j.procir.2019.04.038	journal	January 2019
Analysis of different machine learning algorithms to learn stability lobe diagrams Denkena, Berend; Bergmann, Benjamin; Reimer, Svenja Procedia CIRP, Vol. 88 https://doi.org/10.1016/j.procir.2020.05.049	journal	January 2020
Design optimization of tool holder extension for enhanced chatter stability by using component mode tuning method Karataş, G.; Özşahin, O.; Özgüven, H. N. Procedia CIRP, Vol. 101 https://doi.org/10.1016/j.procir.2021.02.033	journal	January 2021
Investigation of Retention Knob Geometry on Machining Dynamics Schmitz, Tony L. Procedia Manufacturing, Vol. 1 https://doi.org/10.1016/j.promfg.2015.09.034	journal	January 2015
Development of a Dynamic Substructuring Framework to Facilitate in Situ Machining Solutions Using Mobile Machine Tools Law, Mohit; Rentzsch, Hendrik; Ihlenfeldt, Steffen Procedia Manufacturing, Vol. 1 https://doi.org/10.1016/j.promfg.2015.09.054	journal	January 2015
The role of tool presetting in milling stability uncertainty Junior, Milton Vieira; Baptista, Elesandro Antonio; Araki, Luciana Procedia Manufacturing, Vol. 26 https://doi.org/10.1016/j.promfg.2018.07.023	journal	January 2018
Receptance coupling model for variable dynamics in fixed-free thin rib machining Honeycutt, Andrew; Schmitz, Tony Procedia Manufacturing, Vol. 26 https://doi.org/10.1016/j.promfg.2018.07.024	journal	January 2018
Scanning and modeling for non-standard edge geometry endmills No, Timothy; Gomez, Michael; Copenhaver, Ryan Procedia Manufacturing, Vol. 34 https://doi.org/10.1016/j.promfg.2019.06.154	journal	January 2019
Cutting force and stability prediction for inserted cutters Gomez, Michael; No, Timothy; Smith, Scott Procedia Manufacturing, Vol. 48 https://doi.org/10.1016/j.promfg.2020.05.067	journal	January 2020
Modal interactions for spindle, holders, and tools Schmitz, Tony Procedia Manufacturing, Vol. 48 https://doi.org/10.1016/j.promfg.2020.05.069	journal	January 2020
Digital force prediction for milling Gomez, Michael; No, Timothy; Schmitz, Tony Procedia Manufacturing, Vol. 48 https://doi.org/10.1016/j.promfg.2020.05.125	journal	January 2020
Contributions of scanning metrology uncertainty to milling force prediction No, Timothy; Gomez, Michael; Schmitz, Tony Procedia Manufacturing, Vol. 53 https://doi.org/10.1016/j.promfg.2021.06.024	journal	January 2021
A Bayesian Framework for Milling Stability Prediction and Reverse Parameter Identification Cornelius, Aaron; Karandikar, Jaydeep; Gomez, Michael Procedia Manufacturing, Vol. 53 https://doi.org/10.1016/j.promfg.2021.06.073	journal	January 2021
Rapid prediction of posture-dependent FRF of the tool tip in robotic milling Chen, Chen; Peng, Fangyu; Yan, Rong Robotics and Computer-Integrated Manufacturing, Vol. 64 https://doi.org/10.1016/j.rcim.2019.101906	journal	August 2020
FRF based joint dynamics modeling and identification Mehrpouya, Majid; Graham, Eldon; Park, Simon S. Mechanical Systems and Signal Processing, Vol. 39, Issue 1-2 https://doi.org/10.1016/j.ymssp.2013.03.022	journal	August 2013
Milling stability prediction of a hybrid machine tool considering low-frequency dynamic characteristics Yu, Guang; Wang, Liping; Wu, Jun Mechanical Systems and Signal Processing, Vol. 135 https://doi.org/10.1016/j.ymssp.2019.106364	journal	January 2020
Determining rotating tool-tip FRFs by measuring holder-point FRFs based on a robust frequency-based substructure method Ji, Yulei; Dong, Haoqi; Yu, Long Mechanical Systems and Signal Processing, Vol. 164 https://doi.org/10.1016/j.ymssp.2021.108228	journal	February 2022
Alternative experimental methods for machine tool dynamics identification: A review Iglesias, Alexander; Taner Tunç, L.; Özsahin, Orkun Mechanical Systems and Signal Processing, Vol. 170 https://doi.org/10.1016/j.ymssp.2022.108837	journal	May 2022
Multibody dynamic modeling of five-axis machine tools with improved efficiency Bilgili, Deniz; Budak, Erhan; Altintas, Yusuf Mechanical Systems and Signal Processing, Vol. 171 https://doi.org/10.1016/j.ymssp.2022.108945	journal	May 2022
Dynamical characteristic validation of motorized CFRP spindle unit based on receptance coupling Kato, Makoto; Kono, Daisuke; Kakinuma, Yasuhiro Mechanical Systems and Signal Processing, Vol. 173 https://doi.org/10.1016/j.ymssp.2022.109028	journal	July 2022
Prediction of atomic force microscope probe dynamics through the receptance coupling method Mehrpouya, M.; Park, S. S. Review of Scientific Instruments, Vol. 82, Issue 12 https://doi.org/10.1063/1.3664787	journal	December 2011
Determination of Minimum Limiting Axial Depth of cut for 2½d Pocket Machining Based on Receptance Coupling Banerjee, Avisekh; Bordatchev, Evgueni V.; Feng, Hsi-Yung Machining Science and Technology, Vol. 13, Issue 2 https://doi.org/10.1080/10910340902979762	journal	May 2009
Two-points-based receptance coupling method for tool-tip dynamics prediction Montevecchi, Filippo; Grossi, Niccolò; Scippa, Antonio Machining Science and Technology, Vol. 21, Issue 1 https://doi.org/10.1080/10910344.2016.1260435	journal	January 2017
Tool Length-Dependent Stability Surfaces Schmitz, Tony L.; Burns, Timothy J.; Ziegert, John C. Machining Science and Technology, Vol. 8, Issue 3 https://doi.org/10.1081/MST-200038989	journal	December 2004
Tool Point Frequency Response Prediction for High-Speed Machining by RCSA Schmitz, Tony L.; Davies, Matthew A.; Kennedy, Michael D. Journal of Manufacturing Science and Engineering, Vol. 123, Issue 4 https://doi.org/10.1115/1.1392994	journal	January 2001
Dynamic Compensation of Spindle Integrated Force Sensors With Kalman Filter Park, Simon S.; Altintas, Yusuf Journal of Dynamic Systems, Measurement, and Control, Vol. 126, Issue 3 https://doi.org/10.1115/1.1789531	journal	September 2004
Identification of Spindle Integrated Force Sensor’s Transfer Function for Modular End Mills Park, Simon S. Journal of Manufacturing Science and Engineering, Vol. 128, Issue 1 https://doi.org/10.1115/1.2137749	journal	August 2005
Effect of a Nonlinear Joint on the Dynamic Performance of a Machine Tool Dhupia, Jaspreet S.; Powalka, Bartosz; Ulsoy, A. Galip Journal of Manufacturing Science and Engineering, Vol. 129, Issue 5 https://doi.org/10.1115/1.2752830	journal	April 2007
Substructure Coupling of Microend Mills to Aid in the Suppression of Chatter Mascardelli, Brock A.; Park, Simon S.; Freiheit, Theodor Journal of Manufacturing Science and Engineering, Vol. 130, Issue 1 https://doi.org/10.1115/1.2816104	journal	February 2008
Investigation of the Intervertebral Disc and Fused Joint Dynamics Through Experimental Modal Analysis and the Receptance Coupling Method Malekian, M.; Trieu, D.; Owoc, J. S. Journal of Biomechanical Engineering, Vol. 132, Issue 4 https://doi.org/10.1115/1.4001114	journal	March 2010
RCSA-Based Method for Tool Frequency Response Function Identification Under Operational Conditions Without Using Noncontact Sensor Yan, Rong; Tang, Xiaowei; Peng, Fangyu Journal of Manufacturing Science and Engineering, Vol. 139, Issue 6 https://doi.org/10.1115/1.4035418	journal	January 2017
Tool Point Frequency Response Prediction for Micromilling by Receptance Coupling Substructure Analysis Xiaohong, Lu; Zhenyuan, Jia; Haixing, Zhang Journal of Manufacturing Science and Engineering, Vol. 139, Issue 7 https://doi.org/10.1115/1.4035491	journal	March 2017
Identification of a Lathe Spindle Dynamics Using Extended Inverse Receptance Coupling Jasiewicz, Marcin; Powałka, Bartosz Journal of Dynamic Systems, Measurement, and Control, Vol. 140, Issue 12 https://doi.org/10.1115/1.4040968	journal	August 2018
Chatter Stability of Micro-Milling by Considering the Centrifugal Force and Gyroscopic Effect of the Spindle Lu, Xiaohong; Jia, Zhenyuan; Liu, Shengqian Journal of Manufacturing Science and Engineering, Vol. 141, Issue 11 https://doi.org/10.1115/1.4044520	journal	September 2019
Force and Stability Modeling for Non-Standard Edge Geometry Endmills No, Timothy; Gomez, Michael; Copenhaver, Ryan Journal of Manufacturing Science and Engineering, Vol. 141, Issue 12 https://doi.org/10.1115/1.4045057	journal	October 2019
A Robust RCSA-Based Method for the In Situ Measurement of Rotating Tool-Tip Frequency Response Functions Ji, Yulei; Bi, QingZhen; Yu, Long Journal of Manufacturing Science and Engineering, Vol. 142, Issue 8 https://doi.org/10.1115/1.4046989	journal	May 2020
Chatter Stability of Machining Operations Altintas, Yusuf; Stepan, Gabor; Budak, Erhan Journal of Manufacturing Science and Engineering, Vol. 142, Issue 11 https://doi.org/10.1115/1.4047391	journal	August 2020
Multi-point substructure coupling method to compensate multi-accelerometer masses in measuring rotation-related FRFs Ji, YuLei; Chen, Yanren; Zhang, Shaokun Journal of Manufacturing Science and Engineering https://doi.org/10.1115/1.4051534	journal	June 2021
Dynamic Parameter Identification of Tool-Spindle Interface Based on RCSA and Particle Swarm Optimization Wang, Erhua; Wu, Bo; Hu, Youmin Shock and Vibration, Vol. 20, Issue 1 https://doi.org/10.1155/2013/634528	journal	January 2013
Identification of multiple joint dynamics using the inverse receptance coupling method Mehrpouya, Majid; Graham, Eldon; Park, Simon S. Journal of Vibration and Control, Vol. 21, Issue 16 https://doi.org/10.1177/1077546314523306	journal	March 2014
A Modal Parameter Approach for Receptance Coupling of Tools Brecher, C.; Chavan, P.; Fey, M. MM Science Journal, Vol. 2016, Issue 04 https://doi.org/10.17973/MMSJ.2016_10_201616	journal	September 2016
Frequency Response Prediction for Robot Assisted Machining Barrios, A.; Mata, S.; Fernandez, A. MM Science Journal, Vol. 2019, Issue 04 https://doi.org/10.17973/MMSJ.2019_11_2019057	journal	November 2019
Estimation of the Frequency Response Function of the Rotational Degree of Freedom Kim, Ji-wook; Lee, Jae-wook; Kim, Kun-woo Applied Sciences, Vol. 11, Issue 18 https://doi.org/10.3390/app11188527	journal	September 2021
Receptance Coupling for Tool Point Dynamics Prediction on Machine Tools Zhang, Jun Chinese Journal of Mechanical Engineering, Vol. 24, Issue 03 https://doi.org/10.3901/CJME.2011.03.340	journal	January 2011
Prediction of the Frequency Response Function of a Tool Holder-Tool Assembly Based on Receptance Coupling Method Xuan, X. J.; Haung, Z. H.; Wu, K. D. Engineering, Technology & Applied Science Research, Vol. 8, Issue 6 https://doi.org/10.48084/etasr.2372	journal	December 2018
Analyzing the Dynamic Characteristics of Milling Tool Using Finite Element Method and Receptance Coupling Method Hung, J. P.; Lin, W. Z.; Wu, K. D. Engineering, Technology & Applied Science Research, Vol. 9, Issue 2 https://doi.org/10.48084/etasr.2463	journal	April 2019