Numerical Algorithm for a Three-dimensional Stress-induced Solid-phase-transformation Model

Author(s):  
Ferdinando Auricchio ◽  
Lorenza Petrini
2021 ◽  
Author(s):  
Neil Bailey ◽  
Yung C. Shin

Abstract Using an efficient hybrid Cellular Automata/Phase Field (CA-PF) dendrite growth modeling in combination with a solid phase transformation model, microstructure evolution and solid-phase transformation were predicted during laser direct deposition (LDD) of H13 tool steel powder across multiple tracks and layers. Temperature and surface geometry data were provided by a comprehensive physics-based laser deposition model. The computational efficiency of the CA-PF model allows for simulating domains large enough to capture dendrite growth across an entire molten pool and into neighboring LDD tracks. The microstructure of the target track is strongly affected by heat from neighboring tracks including re-melting and re-solidification, and martensite tempering. Dendrite size and growth direction across the entire fusion zone, as well as predicted hardness values, are found to be in good agreement with experimental results.


1995 ◽  
Vol 355 (1) ◽  
pp. 95-104 ◽  
Author(s):  
Ryozo Kitamaru ◽  
Fumitaka Horii ◽  
Masaru Nakagawa ◽  
Kanichiro Takamizawa ◽  
Yoshiko Urabe ◽  
...  

2017 ◽  
Vol 121 (15) ◽  
pp. 8262-8271 ◽  
Author(s):  
Zhipeng Lu ◽  
Xianggui Xue ◽  
Liya Meng ◽  
Qun Zeng ◽  
Yu Chi ◽  
...  

2015 ◽  
Vol 92 (13) ◽  
Author(s):  
Samuel T. Murphy ◽  
Szymon L. Daraszewicz ◽  
Yvelin Giret ◽  
Matthew Watkins ◽  
Alexander L. Shluger ◽  
...  

2005 ◽  
Vol 87 (19) ◽  
pp. 191907 ◽  
Author(s):  
Valery I. Levitas ◽  
Laura B. Smilowitz ◽  
Bryan F. Henson ◽  
Blaine W. Asay

Author(s):  
Neil S. Bailey ◽  
Yung C. Shin

A predictive laser hardening model for industrial parts with complex geometric features has been developed and used for optimization of hardening processes. A transient three-dimensional thermal model is combined with a three-dimensional kinetic model for steel phase transformation and solved in order to predict the temperature history and solid phase history of the workpiece while considering latent heat of phase transformation. Further, back-tempering is also added to the model to determine the phase transformation during multitrack laser hardening. The integrated model is designed to accurately predict temperature, phase distributions and hardness inside complex geometric domains. The laser hardening parameters for two industrial workpieces are optimized for two different industrial laser systems using this model. Experimental results confirm the validity of predicted results.


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