A great challenge of metal cutting modeling is the ability of the material constitutive model to describe the mechanical behavior of the work material under the deformation conditions that characterizes this process. In particular, metal cutting generates a large range of state of stresses, as well as strains and strain rates higher than those generated by conventional mechanical tests, including the Split-Hopkinson pressure bar tests. A new hybrid analytical–experimental methodology to identify the material constitutive model coefficients is proposed. This methodology is based on an in situ high-resolution imaging and digital image correlation (DIC) technique, coupled with an analytical model of orthogonal cutting. This methodology is particularly suitable for the identification of the constitutive model coefficients at strains and strain rates higher than those found in mechanical tests. Orthogonal cutting tests of nickel aluminum bronze alloy are performed to obtain the strains and strain rates fields in the cutting zone, using DIC technique. Shear forces derived from stress integrations are matched to the measured ones. Then, the constitutive model coefficients can be determined, which is performed by solving a sequential optimization problem. Verifications are made by comparing the strain, strain rate, and temperature fields of cutting zone from experiments against those obtained by finite element simulations using the identified material constitutive model coefficients as input.
Article navigation
Research-Article
New In Situ Imaging-Based Methodology to Identify the Material Constitutive Model Coefficients in Metal Cutting Process
Xiao-Ming Zhang
,
Xiao-Ming Zhang
State Key Laboratory of Digital Manufacturing Equipment and Technology,
Wuhan 430074,
e-mails: cheungxm@hust.edu.cn; zhangxm.duyi@gmail.com
Huazhong University of Science and Technology
,Wuhan 430074,
China
e-mails: cheungxm@hust.edu.cn; zhangxm.duyi@gmail.com
1
Corresponding author.
Search for other works by this author on:
Ke Zhang
,
Ke Zhang
State Key Laboratory of Digital Manufacturing Equipment and Technology,
Wuhan 430074,
e-mail: hustzk@hust.edu.cn
Huazhong University of Science and Technology
,Wuhan 430074,
China
e-mail: hustzk@hust.edu.cn
Search for other works by this author on:
Dong Zhang
,
Dong Zhang
State Key Laboratory of Digital Manufacturing Equipment and Technology,
Wuhan 430074,
e-mail: zhangdong@hust.edu.cn
Huazhong University of Science and Technology
,Wuhan 430074,
China
e-mail: zhangdong@hust.edu.cn
Search for other works by this author on:
Jose Outeiro
,
Jose Outeiro
Search for other works by this author on:
Han Ding
Han Ding
State Key Laboratory of Digital Manufacturing Equipment and Technology,
Wuhan 430074,
e-mail: cheungxm@gmail.com
Huazhong University of Science and Technology
,Wuhan 430074,
China
e-mail: cheungxm@gmail.com
Search for other works by this author on:
Xiao-Ming Zhang
State Key Laboratory of Digital Manufacturing Equipment and Technology,
Wuhan 430074,
e-mails: cheungxm@hust.edu.cn; zhangxm.duyi@gmail.com
Huazhong University of Science and Technology
,Wuhan 430074,
China
e-mails: cheungxm@hust.edu.cn; zhangxm.duyi@gmail.com
Ke Zhang
State Key Laboratory of Digital Manufacturing Equipment and Technology,
Wuhan 430074,
e-mail: hustzk@hust.edu.cn
Huazhong University of Science and Technology
,Wuhan 430074,
China
e-mail: hustzk@hust.edu.cn
Dong Zhang
State Key Laboratory of Digital Manufacturing Equipment and Technology,
Wuhan 430074,
e-mail: zhangdong@hust.edu.cn
Huazhong University of Science and Technology
,Wuhan 430074,
China
e-mail: zhangdong@hust.edu.cn
Jose Outeiro
Han Ding
State Key Laboratory of Digital Manufacturing Equipment and Technology,
Wuhan 430074,
e-mail: cheungxm@gmail.com
Huazhong University of Science and Technology
,Wuhan 430074,
China
e-mail: cheungxm@gmail.com
Manuscript received December 27, 2018; final manuscript received July 1, 2019; published online August 1, 2019. Assoc. Editor: Radu Pavel.
1
Corresponding author.
J. Manuf. Sci. Eng. Oct 2019, 141(10): 101007 (11 pages)
Published Online: August 1, 2019
Article history
Received:
December 27, 2018
Revision Received:
July 1, 2019
Accepted:
July 2, 2019
Citation
Zhang, X., Zhang, K., Zhang, D., Outeiro, J., and Ding, H. (August 1, 2019). "New In Situ Imaging-Based Methodology to Identify the Material Constitutive Model Coefficients in Metal Cutting Process." ASME. J. Manuf. Sci. Eng. October 2019; 141(10): 101007. https://doi.org/10.1115/1.4044251
Download citation file:
- Ris (Zotero)
- Reference Manager
- EasyBib
- Bookends
- Mendeley
- Papers
- EndNote
- RefWorks
- BibTex
- ProCite
- Medlars
Close
Sign In
Get Email Alerts
Cited By
Related Articles
Identification of Material Constitutive Laws for Machining—Part I: An Analytical Model Describing the Stress, Strain, Strain Rate, and Temperature Fields in the Primary Shear Zone in Orthogonal Metal Cutting
J. Manuf. Sci. Eng (October, 2010)
Measurement and Modeling of Heat Partitions and Temperature Fields in the Workpiece for Cutting Inconel 718, AISI 1045, Ti6Al4V, and AlMgSi0.5
J. Manuf. Sci. Eng (June, 2019)
Finite Element Modeling of Orthogonal Metal Cutting
J. Eng. Ind (August, 1991)
A Study of Burr Formation Processes Using the Finite Element Method: Part I
J. Eng. Mater. Technol (April, 2000)
Related Proceedings Papers
Related Chapters
Tool Condition Monitoring in Metal Cutting Processes - a Systematic Approach Using ANN Based Multiple Sensor Fusion Strategy
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Cavitating Structures at Inception in Turbulent Shear Flow
Proceedings of the 10th International Symposium on Cavitation (CAV2018)
Modeling and Simulation of Cutting Temperature Field with Serrated Chip
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3