1. Residual Stress and Springback Prediction
Presenter: Jyhwen Wang, TAMU
PIs: Bruce Tai and Jyhwen Wang, TAMU
Yannis Korkolis, UNH
Wing K. Liu, Jian Cao, Northwestern

2. 3. Residual Stress and Springback Prediction
Industrial Need and Relevance: Residual stress and springback can affect the dimensional accuracy and structure performance of formed parts.
NSF I/UCRC Planning Meeting

3. 3. Residual Stress and Springback Prediction
Project Objectives: The objective is to develop effective methodologies to predict and characterize residual stress and springback to improve product quality and reduce costs.
Material
Residual Stress &
Springback
Deformation Process
NSF I/UCRC Planning Meeting

4. 3. Residual Stress and Springback Prediction
Approach/Methodologies:
Characterize materials and evaluate constitutive models
Evaluate different residual stress measurement and springback characterization methods
Compare model predictions to experimental results and select modeling and experiment techniques
Material Characterization
Forming Processes
Forming Simulation
Residual Stress Measurement
Springback Characterization
Tooling
Geometry
NSF I/UCRC Planning Meeting

5. 3. Residual Stress and Springback Prediction
Approach/Methodologies:
Proposed forming processes – air bending, U-channel forming, and deep drawing
Residual stress measurement – X-ray diffraction and strain relaxation
Materials and Design 50 (2013)
Acta Mechanica Sinca 32, 1 , (2016)
Metal Forming, Hosford and Caddell (2014)
NSF I/UCRC Planning Meeting

6. 3. Residual Stress and Springback Prediction
Deliverables:
1st year deliverable: A preliminary result of using the strain relaxation and inverse method for residual stress calculation
End of project deliverable: The development of effective methods to characterize and predict residual stress, springback, and part performance.
NSF I/UCRC Planning Meeting

7. 3. Residual Stress and Springback Prediction
Budget and Timeline: Estimated cost of the project is $400K.
Task / Milestone
Year 1
Year 2 Q1 Q2 Q3 Q4
Material characterization
Design/Select Tooling
Forming Simulations
Forming Experiments
Residual Stress Measurement
 Springback Characterization
NSF I/UCRC Planning Meeting

8. 3. Residual Stress and Springback Prediction
Discussion:
Are the industrial need and relevance accurately captured?
Are the objectives realistic and complete?
Are the approaches technically sound and appropriate?
Are there alternative implementation paths or better approaches?
Are the deliverables impactful to industrial partners?
Are the budget and timeline reasonable?
Are there conflicts with intellectual property or trade secrets?
List additional project specific questions are appropriate.
NSF I/UCRC Planning Meeting