Modal interactions for spindle, holders, and tools

Schmitz, Tony

doi:10.1016/j.promfg.2020.05.069

Title: Modal interactions for spindle, holders, and tools

Journal Article · 31 December 2019 · Procedia Manufacturing

DOI: https://doi.org/10.1016/j.promfg.2020.05.069 · OSTI ID:1839137

Schmitz, Tony

Not Available

View Journal Article

Cite

Export

Save

Sponsoring Organization:: USDOE

OSTI ID:: 1839137

Journal Information:: Procedia Manufacturing, Journal Name: Procedia Manufacturing Journal Issue: C Vol. 48; ISSN 2351-9789

Publisher:: ElsevierCopyright Statement

Country of Publication:: Netherlands

Language:: English

References (71)

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
Simulation of dynamic properties of a spindle and tool system coupled with a machine tool frame Kolar, Petr; Sulitka, Matej; Janota, Miroslav The International Journal of Advanced Manufacturing Technology, Vol. 54, Issue 1-4 https://doi.org/10.1007/s00170-010-2917-7	journal	September 2010
The effects of dynamic interaction between machine tool subsystems on cutting process stability Albertelli, Paolo; Cau, Nicola; Bianchi, Giacomo The International Journal of Advanced Manufacturing Technology, Vol. 58, Issue 9-12 https://doi.org/10.1007/s00170-011-3465-5	journal	July 2011
Dynamic modeling and parameters identification of a spindle–holder taper joint Xu, Chao; Zhang, Jianfu; Wu, Zhijun The International Journal of Advanced Manufacturing Technology, Vol. 67, Issue 5-8 https://doi.org/10.1007/s00170-012-4586-1	journal	November 2012
Milling stability prediction for flexible workpiece using dynamics of coupled machining system Xu, Chao; Feng, Pingfa; Zhang, Jianfu The International Journal of Advanced Manufacturing Technology, Vol. 90, Issue 9-12 https://doi.org/10.1007/s00170-016-9599-8	journal	November 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
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
RCSA-based prediction of chatter stability for milling process with large axial depth of cut Li, Zhongqun; Wang, Zhikang; Shi, Xiaofang The International Journal of Advanced Manufacturing Technology, Vol. 96, Issue 1-4 https://doi.org/10.1007/s00170-018-1615-8	journal	January 2018
Frequency Response Studies using Receptance Coupling Approach in High Speed Spindles Shaik, Jakeer Hussain; Ramakotaiah, K.; Srinivas, J. Journal of The Institution of Engineers (India): Series C, Vol. 100, Issue 2 https://doi.org/10.1007/s40032-017-0438-y	journal	January 2018
Vibrations of a hanging Timoshenko beam under gravity Yokoyama, T. Journal of Sound and Vibration, Vol. 141, Issue 2 https://doi.org/10.1016/0022-460X(90)90838-Q	journal	September 1990
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
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
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
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
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 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
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
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
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
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
Dynamic characteristics of conjunction of lengthened shrink-fit holder and cutting tool in high-speed milling Houming, Zhou; Chengyong, Wang; Zhenyu, Zhao Journal of Materials Processing Technology, Vol. 207, Issue 1-3 https://doi.org/10.1016/j.jmatprotec.2007.12.083	journal	October 2008
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
Receptance coupling of multi-subsystem connected via a wedge mechanism with application in the position-dependent dynamics of ballscrew drives Liu, Hui; Lu, Dun; Zhang, Jun Journal of Sound and Vibration, Vol. 376 https://doi.org/10.1016/j.jsv.2016.04.020	journal	August 2016
Model-based operating recommendations for high-speed spindles equipped with a self-vibratory drilling head Forestier, F.; Gagnol, V.; Ray, P. Mechanism and Machine Theory, Vol. 46, Issue 11 https://doi.org/10.1016/j.mechmachtheory.2011.07.003	journal	November 2011
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
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
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
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
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
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
Prediction of turning stability using receptance coupling Jasiewicz, Marcin; Powałka, Bartosz COMPUTER METHODS IN MECHANICS (CMM2017): Proceedings of the 22nd International Conference on Computer Methods in Mechanics, AIP Conference Proceedings https://doi.org/10.1063/1.5019090	conference	January 2018
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
Three-Component Receptance Coupling Substructure Analysis for Tool Point Dynamics Prediction Schmitz, Tony L.; Duncan, G. Scott Journal of Manufacturing Science and Engineering, Vol. 127, Issue 4 https://doi.org/10.1115/1.2039102	journal	February 2005
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
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
Finite Element Model Updating of Machine-Tool Spindle Systems Cao, Hongrui; Li, Bing; He, Zhengjia Journal of Vibration and Acoustics, Vol. 135, Issue 2 https://doi.org/10.1115/1.4023045	journal	February 2013
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
A Free Interface Component Mode Synthesis Approach for Determining the Micro-End Mill Dynamics Singh, Kundan K.; Kulkarni, Salil S.; Kartik, V. Journal of Micro and Nano-Manufacturing, Vol. 6, Issue 3 https://doi.org/10.1115/1.4040468	journal	June 2018
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
Milling Bifurcations: A Review of Literature and Experiment Honeycutt, Andrew; Schmitz, Tony L. Journal of Manufacturing Science and Engineering, Vol. 140, Issue 12 https://doi.org/10.1115/1.4041325	journal	October 2018
A Study of Linear Joint and Tool Models in Spindle-Holder-Tool Receptance Coupling Burns, Timothy J.; Schmitz, Tony L. ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Volume 6: 5th International Conference on Multibody Systems, Nonlinear Dynamics, and Control, Parts A, B, and C https://doi.org/10.1115/DETC2005-85275	conference	June 2008
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
Model Updating of Spindle Systems Based on the Identification of Joint Dynamics Cao, Hongrui; Xi, Songtao; Cheng, Wei Shock and Vibration, Vol. 2015 https://doi.org/10.1155/2015/894307	journal	January 2015
Dynamics prediction of spindle system using joint models of spindle tool holder and bearings Xu, Chao; Zhang, Jianfu; Yu, Dingwen Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 229, Issue 17 https://doi.org/10.1177/0954406215569588	journal	January 2015
Surface fractal topography-based contact stiffness determination of spindle–toolholder joint Zhao, Yongsheng; Song, Xiaolei; Cai, Ligang Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 230, Issue 4 https://doi.org/10.1177/0954406215578483	journal	April 2015
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 novel experimental-numerical approach to modeling machine tool dynamics for chatter stability prediction Grossi, Niccolò; Scippa, Antonio; Montevecchi, Filippo Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol. 10, Issue 2 https://doi.org/10.1299/jamdsm.2016jamdsm0019	journal	January 2016
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

Similar Records

Multifunctional Magnetic and Upconverting Nanobeads as Dual Modal Imaging Tools

Journal Article · 2017 · Bioconjugate Chemistry · OSTI ID:1464277

Materia, Maria Elena; Pernia Leal, Manuel; Scotto, Marco; +6 more

Behavior of some sealing arrangements for machine tool spindles

Journal Article · 1995 · Lubrication Engineering · OSTI ID:229939

Philpott, M L; Colton, M W; Cusano, C

Quasianalytical modal approach for computing Casimir interactions in periodic nanostructures

Journal Article · 2012 · Physical Review A · OSTI ID:1103442

Intravaia, F.; Davids, P. S.; Decca, R. S.; +3 more

Title: Modal interactions for spindle, holders, and tools

Citation Formats

References (71)

Similar Records

Related Subjects