Numerical modeling and experimental study of microcrack detection in grinding burn using high order strain mode

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• 作者：Bang-ping Gu ; Zhen-sheng Yang ; Long Pan
• 关键词：Grinding burn ; Microcrack ; Displacement mode ; Strain mode ; Nondestructive detecting technology ; Finite element method
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：80
• 期：5-8
• 页码：859-870
• 全文大小：7,523 KB
• 参考文献：1.Malkin S, Guo C (2007) Thermal analysis of grinding. CIRP Ann Manuf Technol 56:760鈥?82CrossRef
  2.Pavel R, Srivastava A (2007) An experimental investigation of temperatures during conventional and CBN grinding. Int J Adv Manuf Technol 33:412鈥?18CrossRef
  3.Guo GQ, Liu ZQ, An QL, Chen M (2011) Experimental investigation on conventional grinding of Ti-6Al-4V using SiC abrasive. Int J Adv Manuf Technol 57:135鈥?42CrossRef
  4.Pan LY, Athreya BP, Forck JA, Huang W, Zhang L, Hong T, Li WZ, Ulrich W, Mach JC (2013) Welding residual stress impact on fatigue life of a welded structure. Weld World 57:685鈥?91CrossRef
  5.Hiroyuki S (2005) The effect on fatigue life of residual stress and surface hardness resulting from different cutting conditions of 0.45聽% C steel. Int J Mach Tool Manuf 45:131鈥?36CrossRef
  6.Ilman MN, Kusmono, Iswanto PT (2013) Fatigue crack growth rate behavior of friction-stir aluminium alloy AA2024-T3 welds under transient thermal tensioning. Mater Des 50:235鈥?43CrossRef
  7.Pouget G, Reynolds AP (2008) Residual stress and microstructure effects on fatigue crack growth in AA2050 friction stir welds. Int J Fatigue 30:463鈥?72CrossRef
  8.Wang Z, Willett P, DeAguiat PR, Webster J (2001) Neural network detection of grinding burn from acoustic emission. Int J Mach Tool Manuf 41:283鈥?09CrossRef
  9.Yang ZS, Yu ZH (2013) Experimental study of burn classification and prediction using indirect method in surface grinding of AISI 1045 steel. Int J Adv Manuf Technol 68:2439鈥?449CrossRef
  10.Yang ZS, Yu ZH (2012) Grinding wheel wear monitoring based on wavelet analysis and support vector machine. Int J Adv Manuf Technol 62:107鈥?21MathSciNet CrossRef
  11.Yang ZS, Yu ZH, Chao X, Youfang H (2014) Application of Hilbert鈥揌uang Transform to acoustic emission signal for burn feature extraction in surface grinding process. Measurement 47:14鈥?1CrossRef
  12.Liu Q, Chen X, Gindy N (2006) Investigation of acoustic emission signals under a simulative environment of grinding burn. Int J Mach Tool Manuf 46:284鈥?92CrossRef
  13.Santa-aho S, Vippola M, Sorsa A, Latokartano J, Lindgren M, Leivisk盲 K, Lepist枚 T (2012) Development of Barkhausen noise calibration blocks for reliable grinding burn detection. J Mater Process Technol 212:408鈥?16CrossRef
  14.Santa-aho S, Vippola M, Sorsa A, Lindgren M, Latokartano J, Leivisk K, Lepist T (2012) Optimized laser processing of calibration blocks for grinding burn detection with Barkhausen noise. J Mater Process Technol 212:2282鈥?293CrossRef
  15.Santa-aho S, Vippola M, Sorsa A, Leivisk盲 K, Lindgren M, Lepist枚 T (2012) Utilization of Barkhausen noise magnetizing sweeps for case-depth detection from hardened steel. NDT&E Int 52:95鈥?02
  16.Lee YS, Chung MJ (2000) A study on crack detection using eigenfrequency test data. Comput Struct 77:327鈥?42CrossRef
  17.Khoa NV (2014) Mode shapes analysis of a cracked beam and its application for crack detection. J Sound Vib 333:848鈥?72CrossRef
  18.Ravi D, Liew KM (2000) A study of the effect of microcrack on the vibration mode shape. Eng Struct 22:1097鈥?102CrossRef
  19.Yam LH, Leung TP, Li DB, Xue KZ (1996) Theoretical and experimental study of modal strain analysis. J Sound Vib 191:251鈥?60CrossRef
  20.脴stby E, Thaulow C, Akselsen OM (2012) Quantitative relation between acoustic emission signal amplitude and arrested cleavage microcrack size. Int J Fract 177:73鈥?0CrossRef
  21.M眉hlich U, Zybell L, Kuna M (2012) Estimation of material properties for linear elastic strain gradient effective media. Eur J Mech A/Solid 31:117鈥?30MATH CrossRef
  22.GB/T232-1988 Metallic Materials Bend Test
  23.ASTM E 837鈥?8 Standard test method for determining residual stresses by the hole-drilling strain-gage method.
  24.Zhong ZW, Venkatesh VC (2009) Recent developments in grinding of advanced materials. Int J Adv Manuf Technol 41:468鈥?80CrossRef
  
• 作者单位：Bang-ping Gu (1)
  Zhen-sheng Yang (2)
  Long Pan (1)
  
  1. The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang Province Key Laboratory of Advanced Manufacturing Technology, School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, People鈥檚 Republic of China
  2. College of Logistics Engineering, Shanghai Maritime University, Shanghai, 201306, People鈥檚 Republic of China
  
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

A novel method for the microcrack detection in grinding burn based on the high order strain mode was proposed in this study, which is especially suitable for the microcrack detection in small workpiece. The governing equations for solving the strain mode and the displacement mode were firstly given. With the help of the ANSYS software, the numerical modal analysis for a platelike grinding specimen without and with a microcrack was carried out. The first five order bending natural frequencies, displacement modes, and strain modes were obtained, respectively. In order to verify the effectiveness of the proposed method, the experimental modal analysis for a platelike grinding specimen without and with an artificial microcrack was performed based on the high-frequency vibrator. The results show that using the high order strain mode or increasing the number of the strain modes both can improve the accuracy of the microcrack detection. Moreover, the strain mode is more sensitive to the microcrack than the displacement mode. The findings confirm that the high order strain mode has the significant sensibility to the local structure damage and provide a possibility to establish a nondestructive detecting system for the microcrack detection. Key words Grinding burn Microcrack Displacement mode Strain mode Nondestructive detecting technology Finite element method