This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Friction Coefficient Evaluation on Aluminum Alloy Sheet Metal Using Digital Image Correlation
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
The coefficient of friction between surfaces is an important criterion for predicting metal behavior during sheet metal stamping processes. This research introduces an innovative technique to find the coefficient of friction on a lubricated aluminum sheet metal surface by simulating the industrial manufacturing stamping process while using 3D digital image correlation (3D-DIC) to track the deformation. During testing, a 5000 series aluminum specimen is placed inside a Stretch-Bend-Draw Simulator (SBDS), which operates with a tensile machine to create a stretch and bend effect. The friction coefficient at the contact point between an alloy sheet metal and a punch tool is calculated using an empirical equation previously developed. In order to solve for the unknown friction coefficient, the load force and the drawback force are both required. The tensile machine software only provides the load force applied on the specimen by the load cell. Thus, the drawback force requires an indirect method of measurement. In this presentation, a method is proposed that uses DIC to measure tensile strain on a specimen’s surface to acquire the drawback force. This requires first collecting preliminary data to determine a tensile strain and drawback force relationship. Once this force-strain relation is established, the tests to determine the friction coefficient can be performed and the friction coefficient is determined from the results of the final test data. The concept, set-up, procedure, and results of this research will be presented in detail.
CitationDuan, E., Li, J., Schaeffler, D., Wang, H. et al., "Friction Coefficient Evaluation on Aluminum Alloy Sheet Metal Using Digital Image Correlation," SAE Technical Paper 2018-01-1223, 2018, https://doi.org/10.4271/2018-01-1223.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
|[Unnamed Dataset 3]|
|[Unnamed Dataset 4]|
|[Unnamed Dataset 5]|
- Cole, G.S. and Sherman, A.M. , “Light Weight Materials for Automotive Applications,” Materials Characterization 35(1):3-9. ScienceDirect. Web. 21, 1995, June 2016.
- Smith, Lorenzo , “Sheet Metal Stretch-bend-draw Simulator Apparatus and Method,” Patent 8,511,172, 20 Aug. 2013, Print.
- Motra, H.B., Hildebrand, J., and Dimmig-Osburg, A. , “Assessment of Strain Measurement Techniques to Characterise Mechanical Properties of Structural Steel,” Engineering Science and Technology, an International Journal 17(4):260-269. ScienceDirect. Web. 21, 2014, June 2016.
- Montero, W., Farag, R., Díaz, V., Ramirez, M., and Boada, B.L. , “Uncertainties Associated with Strain-measuring Systems Using Resistance Strain Gauges,” The Journal of Strain Analysis for Engineering Design 46(1):1-13. SAGE Journals. Web. 23, 2010, June 2016.
- Zhang, J., Guo, S.I., Wu, Z.S., and Zhang, Q.Q. , “Structural Identification and Damage Detection through Long-gauge Strain Measurements,” Engineering Structures 99(2015):173-183. ScienceDirect. Web. 23, June 2016.
- Xie, X. et al. , “Tensile Test for Polymer Plastics with Extreme Large Elongation Using Quad-Camera Digital Image Correlation,” SAE Technical Paper 2016-01-0418 , 2016, doi:10.4271/2016-01-0418.
- Xu, Wan, et al. , “Strain Analysis of Pressure Vessels Contained Pits Based on Digital Image Correlation Method,” Seventh International Symposium on Precision Mechanical Measurements, International Society for Optics and Photonics, 2016.
- Li, J. et al. , “Experimental study of FLD0 for aluminum alloy using digital image correlation with modified ISO method,” International Journal of Materials Research 107(3):245-253, 2016.
- Li, J., Xie, X., Yang, G. et al. , “Whole-field thickness strain measurement using multiple camera digital image correlation system,” Optics and Lasers in Engineering 90:19-25, 2017.
- Lemu, H.G. and Trzepieciński, T. , “Numerical and Experimental Study of Frictional Behavior in Bending Under Tension Test,” SV-JME Strojniški Vestnik – Journal of Mechanical Engineering 59(01):41-49, 2013 Web. 18 July 2016.
- Schey, J.A. , “Metal Deformation Processes: Friction and Lubrication,” Metal Deformation Processes/Friction and Lubrication 18(3), 1971 n. pag. Web. 21 July 2016.