Investigation of Chatter Vibration in End-Milling Process by Considering Coupled System Model

被引:0
|
作者
Hattori, Kosuke [1 ]
Kodama, Hiroyuki [1 ]
Hirogaki, Toshiki [1 ]
Aoyama, Eiichi [1 ]
机构
[1] Doshisha Univ, Dept Mech Engn, Kyoto 6100394, Japan
来源
Advances in Materials and Processing Technologies XVI | 2014年 / 939卷
关键词
Chatter vibration; Impact test; FEM; End-milling; Machine tool;
D O I
10.4028/www.scientific.net/AMR.939.201
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Chatter vibration in cutting processes usually leads to surface finish degradation, tool damage, cutting noise, energy loss, etc. Self-excited vibration particularly seems to be a problem that is easily increased to large vibration. The regenerative effect is considered as one of the causes of chatter vibration. Although the chatter vibration occurs in various types of processing, the end-milling is a typical process that seems to cause the chatter vibration due to a lack of rigidity of one or more parts of the machine tools, cutting tool, and work-piece. The aim of our research is to propose a simple method to control chatter vibration of the end-milling process on the basis of a coupling model integrating the related various elements. In this study, hammering tests were carried out to measure the transfer function of a machine tool and cutting tool system, which seems to cause vibration. By comparing these results, finite elemental method (FEM) analysis models were constructed. Additionally, cutting experiments were carried out to confirm the chatter vibration frequencies in end-milling with a machining center. In the hammering tests, impulse hammer and multiple acceleration pick-ups are connected to a multi-channel FFT analyzer and estimate the natural frequencies and natural vibration modes. A simplified FEM model is proposed by circular section stepped beam elements on the basis of the hammering test results, considering a coupling effect. In comparisons of the calculated results and hammering test results, the vibration modes are in good agreement. As a result, the proposed model accurately predicts the chatter vibration considering several effects among the relating elements in end-milling. Moreover, it can be seen that the chatter vibration is investigated from a viewpoint of the integrating model of the end-milling process.
引用
收藏
页码:201 / 208
页数:8
相关论文
共 50 条
  • [41] An End-milling Condition Decision Support System Using Data-Mining for Difficult-to-cut Materials
    Kodama, Hiroyuki
    Shindou, Masatoshi
    Hirogaki, Toshiki
    Aoyama, Eiichi
    Ogawa, Keiji
    ADVANCES IN ABRASIVE TECHNOLOGY XV, 2012, 565 : 472 - +
  • [42] Optimization of dry machining parameters for high-purity graphite in end-milling process by artificial neural networks: A case study
    Shie, Jie-Ren
    MATERIALS AND MANUFACTURING PROCESSES, 2006, 21 (08) : 838 - 845
  • [43] Mill-cut: a neural network system for the prediction of thermo-mechanical loads induced in end-milling operations
    Rai, Jitender K.
    Villedieu, Louis
    Xirouchakis, Paul
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 37 (3-4) : 256 - 264
  • [44] Mill-cut: a neural network system for the prediction of thermo-mechanical loads induced in end-milling operations
    Jitender K. Rai
    Louis Villedieu
    Paul Xirouchakis
    The International Journal of Advanced Manufacturing Technology, 2008, 37 : 256 - 264
  • [45] Experimental Investigation on the Effect of Tool Geometry and Cutting Conditions Using Tool Wear Prediction Model for End Milling Process
    Kalidass, S.
    Palanisamy, P.
    JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2014, 13 (01) : 41 - 54
  • [46] A NANOMETROLOGICAL PROCESS MANAGEMENT MODEL TO ASSESS THE END MILLING TOOLS IN THE MACHINING INDUSTRY
    Durakbasa, N. M.
    Bas, G.
    Demircioglu, P.
    13TH INTERNATIONAL CONFERENCE ON TOOLS, 2012, : 271 - +
  • [47] A generalized neural network model of ball-end milling force system
    Zuperl, U.
    Cus, F.
    Mursec, B.
    Ploj, T.
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2006, 175 (1-3) : 98 - 108
  • [48] A Regression Neural Model for In-process Surface Roughness Monitoring in End Milling Operations
    Huang, PoTsang B.
    Chen, James C.
    Jou, Yuan-Tsan
    ADVANCED DESIGN AND MANUFACTURE II, 2010, 419-420 : 369 - 372
  • [49] Modelling of end-milled floor surface topography considering system vibration and tool deflection
    Cai, Chongyan
    An, Qinglong
    Chen, Ming
    Ming, Weiwei
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2023, 312
  • [50] Energy consumption investigation of a three-axis machine tool and ball-end milling process
    Renjie Ge
    Song Zhang
    Renwei Wang
    Xiaona Luan
    Irfan Ullah
    The International Journal of Advanced Manufacturing Technology, 2022, 121 : 5223 - 5233