Structural dynamic design optimization and experimental verification of a machine tool

Structural dynamic performance of a machine tool greatly affects machining precision and productivity. One effective approach in improving the dynamic performance is by applying topology design optimization to the machine tool structure. However, traditional topology optimization method is hard to implement and does not provide a clear stiffener layout. Furthermore, the topology optimization of certain components does not signify the performance improvement of a holistic machine tool. This paper suggests a new structural dynamic design optimization method for the holistic machine tool. The Adaptive Growth Method which is based on the growth mechanism of natural branch systems is adopted to design the inner stiffener layout of structures, and an optimization strategy for the holistic machine tool utilizing dynamic sensitivity analysis is studied. Both components and contact parts are considered. The dynamic sensitivities of the components are analyzed based on modal test data, and help to determine which components need to be optimized. Then, the headstock, column, and bed are optimized, and the weak contact stiffness is improved. The FEA (finite element analysis) results of an optimized machine tool show that the TCP (tool center point) harmonic displacement is decreased distinctly. To validate the effectiveness of the suggested method, an experiment of the manufactured machine tool structure is conducted, and the experimental results had shown great improvements in the holistic machine tool.

[1]  Haitao Liu,et al.  A mechanical structure-based design method and its implementation on a fly-cutting machine tool design , 2014 .

[2]  Liping Zhao,et al.  A new approach to improving the machining precision based on dynamic sensitivity analysis , 2016 .

[3]  Jun Hong,et al.  Bionic design and verification of high-precision machine tool structures , 2015 .

[4]  Koetsu Yamazaki,et al.  Stiffener layout design for plate structures by growing and branching tree model (application to vibration-proof design) , 2004 .

[5]  Zhifeng Liu,et al.  Stiffness design of machine tool structures by a biologically inspired topology optimization method , 2014 .

[6]  Shihao Liu,et al.  Multi-objective optimization design method for the machine tool’s structural parts based on computer-aided engineering , 2015 .

[7]  Dawei Zhang,et al.  A CAD/CAE-integrated structural design framework for machine tools , 2017 .

[8]  Min Xiong,et al.  Optimal stiffener layout of plate/shell structures by bionic growth method , 2014 .

[9]  Fangyu Peng,et al.  A new approach based on modal mass distribution matrix to identify weak components of machine tool structure , 2016 .

[10]  Kai Cheng,et al.  A holistic integrated dynamic design and modelling approach applied to the development of ultraprecision micro-milling machines , 2010 .

[11]  Koetsu Yamazaki,et al.  Adaptive growth technique of stiffener layout pattern for plate and shell structures to achieve minimum compliance , 2005 .

[12]  Ching-Yuan Lin,et al.  Modeling the machining stability of a vertical milling machine under the influence of the preloaded linear guide , 2011 .

[13]  Xiaohu Dong,et al.  Optimal layout of internal stiffeners for three-dimensional box structures based on natural branching phenomena , 2018, Engineering Optimization.

[14]  Li Zhang,et al.  Structure Design of Precision Horizontal Machining Center and Multi-Objective Optimization of Large Structural Components , 2013 .

[15]  M. Bendsøe,et al.  Material interpolation schemes in topology optimization , 1999 .

[16]  Christian Brecher,et al.  Materials in machine tool structures , 2015 .

[17]  Hartmut Hoffmann,et al.  Model based strategies for an optimised ribbing design of large forming tools , 2009, Prod. Eng..

[18]  Ting-Yu Chen,et al.  Topological and sizing optimization of reinforced ribs for a machining centre , 2008 .

[19]  Haitao Liu,et al.  Design philosophy of an ultra-precision fly cutting machine tool for KDP crystal machining and its implementation on the structure design , 2014 .

[20]  Kai Cheng,et al.  Dynamic optimization method with applications for machine tools based on approximation model , 2018 .

[21]  Y. M. Huang,et al.  Predicting dynamic behaviours of a whole machine tool structure based on computer-aided engineering , 2003 .

[22]  Dawei Zhang,et al.  A new top-down design method for the stiffness of precision machine tools , 2016 .

[23]  Guofu Yin,et al.  Dynamic characteristics optimization for a whole vertical machining center based on the configuration of joint stiffness , 2015 .

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

[25]  Jui-Pin Hung,et al.  Analysis of the machining stability of a milling machine considering the effect of machine frame structure and spindle bearings: experimental and finite element approaches , 2013 .

[26]  Xiaohu Dong,et al.  Optimal topology design of internal stiffeners for machine pedestal structures using biological branching phenomena , 2018 .

[27]  Wei Li,et al.  Design and dynamic optimization of an ultra-precision micro grinding machine tool for flexible joint blade machining , 2017 .

[28]  Bi-Chu Wu,et al.  Application of a two-level optimization process to conceptual structural design of a machine tool , 2000 .

[29]  M. Bendsøe,et al.  Generating optimal topologies in structural design using a homogenization method , 1988 .