Conference Logo ProgramMaster Logo
Conference Tools for MS&T26: Materials Science & Technology
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools

About this Abstract

Meeting MS&T26: Materials Science & Technology
Symposium Computational Materials for Qualification and Certification
Presentation Title Integrated Modeling of Solidification Cracking in Fusion Welding of High-Strength Aluminum: Multi-Criteria Analysis Under Variable Restraints
Author(s) Zenan Zhang, Paul Blackhurst, Boyd Panton, Wei Zhang
On-Site Speaker (Planned) Zenan Zhang
Abstract Scope Evaluating solidification cracking susceptibility is critical for material qualification in fusion welding and additive manufacturing. Many of existing cracking criteria focus on the material’s composition-based resistance, overlooking the influence of processing conditions. In this study, Houldcroft weldability test is performed where aluminum alloy 7075 sheet is laser welded autogenously. The fishbone-shaped sheet has variable restraints/stiffnesses along the travel direction. To accurately predict the mushy zone temperature field and subsequent stress-strain evolution, a molten pool heat transfer and fluid flow model is integrated with a mechanical model. Numerical predictions are validated by the post-weld metallography, alongside high-speed video and digital image correlation during welding. Existing solidification cracking criteria based on liquid feeding or solid fracture are implemented into the model to evaluate the local crack susceptibility. The accuracy of different cracking criteria is assessed, identifying further enhancements needed to better predict how local stiffness and thermal gradient affect cracking.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

3D Characterization of Microstructure in Printed Alloys Prone to Solidification Cracking
Acoustics for In-Situ Process Data to Inform Computational Models in Metal Additive Manufacturing
AI-Driven Materials Design for Resilient Manufacturing Under Uncertainty
An Overview of the OPAL Digital Twin to Predict Fatigue Lives Via a Inputs from Computational Materials Models and In-Situ Sensing
Benchmarking Spectral Solution Methods for the Mechanical Behavior of Additively Manufactured Metals Containing Pores
Challenges in Materials Maturation for Additive Manufacturing
Computational Materials for Qualification and Certification Steering Group and Community Vision Roadmap
Establishing the Severity of Pores in Structural Components
Integrated Modeling of Solidification Cracking in Fusion Welding of High-Strength Aluminum: Multi-Criteria Analysis Under Variable Restraints
Metal Additive Manufacturing Simulations Driven by In-Situ Experimental Data for Qualification and Certification
Practical Data Management in Computational Materials for Qualification and Certification
Probabilistic Fatigue Modeling of Powder Bed Fusion – Laser Beam Ti-6Al-4V with Model- and Measurement-Based Uncertainty
Providing Validation Datasets for Materials Process Modelling: A Cornell High Energy Synchrotron Source Perspective
Qualification and Certification for Additive Manufacturing Parts in the US Navy
Robust Manufacturing and Qualification of 3D-Printed Ceramics
The Critical Roles of Verification, Validation, and Uncertainty Quantification for Qualification and Certification of Metal AM Components for the Aviation Industry
Towards a Computational Digital Twin of Metals AM
Towards a Predictive Modeling Platform for Fatigue in Additively Manufactured Metals
Transitioning from Basic Research to Industrial Applications for Metal AM Components

Questions about ProgramMaster? Contact programming@programmaster.org | TMS Privacy Policy | Accessibility Statement