Transactions of Materials and Heat Treatment

Title：Strain detection by digital image correlation method on Q235 low carbon steel

Authors： Zhang Dehai1 Guo Zhaocan1 He Wenbin1 Chen Baojia2

Unit： 1.Mechanical and Electrical Engineering Institute Zhengzhou University of Light Industry 2.Hubei Key Laboratory of Construction and Hydropower Engineering China Three Gorges University

KeyWords： digital image correlation method Q235 low carbon steel strain detection mechanical property difference coefficient

ClassificationCode：

year,vol(issue):pagenumber：2022,47(3):182-190

Abstract：

In order to solve the problems existing in traditional strain detection method， such as low accuracy of measurement results, easy to change the mechanical properties of samples, and inability to realize full-field deformation measurement, the mechanical properties of Q235 low carbon steel were studied by digital image correlation method. Then, the tensile test results were compared and analyzed with the numerical simulation results of ABAQUS, and the accuracy of simulation results for various mechanical parameters was evaluated by introducing the difference coefficient. The results show that the strain distribution values obtained by the simulation are in good agreement with those obtained by the digital image correlation method, and the maximum principal strain values have the highest agreement. The difference coefficients of yield strength and tensile strength are all less than 1.000%, and the difference coefficient of tensile strength is the smallest, which is 0.011%, the differences coefficients of elongation and area reduction are larger, and the difference coefficient of elongation is the biggest, which is 2.054%. The comparison results show that the digital image correlation method is really effective in the deformation and strain measurement of Q235 low carbon steel, which provides a reference for the deformation measurement of other materials.

Funds：

国家自然科学基金面上项目（51975324）；2020年度河南省高校科技创新团队（20IRTSTHN015）；江苏省盐城市“515”创新领军人才项目（盐委[2020]40号）；河南省科技攻关项目（202102210087）；郑州市科技局产学研项目（郑科函[2020]3号）

张德海（1973-），男，博士，教授 E-mail：dhzhang@zzuli.edu.cn

Reference：

[1]潘兵, 吴大方,高镇同.基于数字图像相关方法的非接触高温热变形测量系统[J].航空学报,2010,31(10):1960-1967.

Pan B, Wu D F, Gao Z T. Non-contact high temperature thermal deformation measurement system based on digital image correlation method [J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(10): 1960-1967.

[2]叶雨寒, 袁艺宁,刘庆涛,等.汽车车身铝合金连接构件的拉伸试验分析[J].锻压技术,2020,45(4):189-194.

Ye Y H, Yuan Y N, Liu Q T, et al. Tensile test analysis of aluminum alloy connection part in automobile body [J]. Forging & Stamping Technology, 2020, 45(4): 189-194.

[3]孙涛, 梁晋,蔡勇,等.用数字散斑法测量铜/铝复层板拉伸变形[J].光学精密工程,2012,20(12)：2599-2606.

Sun T, Liang J, Cai Y, et al. Measurement of tensile deformation of copper/aluminum laminates by digital speckle method [J]. Optics and Precision Engineering, 2012，20（12）：2599-2606.

[4]Chu T C, Ranson W F, Sutton M A, et al .Applications of digital-image-correlation techniques to experimental mechanics[J]. Experimental Mechanics,1985,25(3):232-245.

[5]Schreier H W, Sutton M A. Systematic errors in digital image correlation due to under matched subset shape functions [J]. Experimental Mechanics, 2002, 42(3):303-310.

[6]Avtaev V V, Yakovlev N O. Digital image correlation method study of the static fracture toughness and the fracture strength of a thin-sheet aluminum alloy[J]. Russian Metallurgy,2020, (10):1207-1212.

[7]Ustinov A M, Klopotov A A, Potekaev A I, et al .Study of the elasto-plastic deformation of the steel/steel adhesive joint using digital image correlation method[J].Solid State Phenomena,2020,6115:143-160.

[8]Lin L X, Xu M J, Xu J J, et al. Measurement and evaluation of strain fields in T23 steel based on digital image correlation method[J]. J. Cent. South Univ.,2017, 24: 1977-1985.

[9]梁晋, 胡浩,唐正宗,等.数字图像相关法测量板料成形应变[J].机械工程学报,2013,49(10): 77-83.

Liang J, Hu H, Tang Z Z, et al. Measurement of sheet metal forming strain by digital image correlation method [J]. Journal of Mechanical Engineering, 2013, 49(10): 77-83.

[10]李耿, 殷咸青,牛靖,等.采用光学测量技术研究铝合金焊接变形[J].精密成形工程,2020,12(1): 92-97.

Li G, Yin X Q, Niu J, et al. The welding deformation of aluminum alloy was studied by optical measurement technology[J]. Journal of Netshape Forming Engineering, 2020, 12(1): 92-97.

[11]唐正宗, 梁晋,肖振中,等.用于三维变形测量的数字图像相关系统[J].光学精密工程,2010,18(10):2244-2253.

Tang Z Z, Liang J, Xiao Z Z, et al. Digital image correlation system for 3D deformation measurement [J]. Optics and Precision Engineering, 2010, 18(10): 2244-2253.

[12]GB/T 228.1—2010, 金属材料拉伸试验第1部分：室温试验方法[S].

GB/T 228.1—2010, Metallic materials—Tensile testing—Part 1: Method of test at room temperature[S].

[13]Pan B, Xie H M. Full-strain field measurement based on least-square fitting of local displacement for digital image correlation method [J]. Acta Optica Sinica, 2007，27(11) 1980-1986.

[14]Stamborska M, Lapin J, Bajana O. Effect of hydrogenation on deformation behaviour of ferritic-pearlitic steel studied by digital image correlation method[J]. Kovove Mater, 2016, 54: 397-406.

[15]林莉, 支旭东,范锋,等. Q235B钢Johnson-Cook模型参数的确定[J].振动与冲击,2014,33(9):153-158.

Ling L, Zhi X D, Fan F, et al. Determination of parameters of Johnson-Cook models of Q235B steel [J].Journal of Vibration and Shock, 2014, 33(9):153-158.

Service：

【This site has not yet opened Download Service】【Add Favorite】