Predicting mobile machine tool dynamics by experimental dynamic substructuring

Abstract Predicting mobile machine tool dynamics prior to moving the machine to a new part and/or location is essential to guide first-time-right in situ machining solutions. This paper considers such a priori prediction of assembled dynamics under varying base/part/contact characteristics by applying dynamic substructuring procedures. Assembled dynamics are predicted by substructural coupling of the machine's known free-free response with the known response of any base/part measured at location. Since obtaining the machine's free-free response remains non-trivial, we instead extract the machine's dynamics using substructure decoupling procedures. Substructuring is carried out using measured frequency response functions. Methods are tested for robustness, and are experimentally validated.

[1]  Aitor Olarra,et al.  Machine tools for large parts , 2013 .

[2]  Hendrik Rentzsch,et al.  Development of a Dynamic Substructuring Framework to Facilitate in Situ Machining Solutions Using Mobile Machine Tools , 2015 .

[3]  Mikel Zatarain,et al.  Modular Synthesis of Machine Tools , 1998 .

[4]  Steffen Ihlenfeldt,et al.  A frequency-based substructuring approach to efficiently model position-dependent dynamics in machine tools , 2015 .

[5]  Jokin Munoa,et al.  Receptance Coupling for Tool Point Dynamics Prediction , 2011 .

[6]  Annalisa Fregolent,et al.  The role of interface DoFs in decoupling of substructures based on the dual domain decomposition , 2010 .

[7]  S. N. Voormeeren,et al.  General Framework forDynamic Substructuring : History , Review , and Classi fi cation of Techniques , 2008 .

[8]  D. Rixen,et al.  General Framework for Dynamic Substructuring: History, Review and Classification of Techniques , 2008 .

[9]  Daniel Rixen,et al.  A family of substructure decoupling techniques based on a dual assembly approach , 2012 .

[10]  David J. Ewins,et al.  Modal Testing: Theory, Practice, And Application , 2000 .

[11]  Simon S. Park,et al.  FRF based joint dynamics modeling and identification , 2013 .

[12]  Annalisa Fregolent,et al.  Are Rotational DoFs Essential in Substructure Decoupling , 2014 .

[13]  Michele Monno,et al.  A new receptance coupling substructure analysis methodology to improve chatter free cutting conditions prediction , 2013 .

[14]  Tony L. Schmitz,et al.  Predicting High-Speed Machining Dynamics by Substructure Analysis , 2000 .

[15]  Hendrik Rentzsch,et al.  Application of Substructure Decoupling Techniques to Predict Mobile Machine Tool Dynamics: Numerical Investigations , 2016 .

[16]  Christian Brecher,et al.  Prediction of Dynamics of Modified Machine Tool by Experimental Substructuring , 2014 .

[17]  Yusuf Altintas,et al.  Rapid evaluation and optimization of machine tools with position-dependent stability , 2013 .

[18]  M. Bampton,et al.  Coupling of substructures for dynamic analyses. , 1968 .

[19]  Yusuf Altintas,et al.  Receptance coupling for end mills , 2003 .

[20]  Dana Nicgorski.  Investigation on experimental issues related to frequency response function measurements for frequency based substructuring , 2008 .

[21]  Reimund Neugebauer,et al.  Structure principles of energy efficient machine tools , 2011 .