Development of Phase-Field Simulations for Study of Sensitisation Kinetics and Dendrite Morphology from Welding Process

• Main Author: Adrian Ilman, Muhammad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/33538
• Institution: Institut Teknologi Bandung

There are a lot of studies up until today on sensitisation phenomena and dendrite morphology, but due to the number of parameters to consider and the difficulty to conduct direct observation, there are numerous problems researcher still do not understand about the phenomenon. The computational method emerged as one of the alternatives to surmount the obstacle of studying the phenomena. One of the method developed for this purpose is phase-field method. In this research, study on the kinetics and sensitisation of stainless steel and dendrite growth in filler metal in the case if dissimilar metal welding has been done. Data for filler material and the stainless steel refers to SS304. The study of kinetics is done by 1-dimentional approach, while the study of dendrite morphology is done by 2-dimentional approach. The mathematical equation for phase-field method is differentiated from Ginzburg-Landau equation following Allen-Cahn model and phase-field model from literature. The computation is executed by finite difference method. The computational program writing is done with FORTRAN90 and so is the compilations. The 1-dimentional simulations is visualized with Plots32, while the 2-dimentional simulations is visualized with MicroAVS V.21. The result shows the phase-field curve as the result of the simulation is quite steady. However, the space between profiles at the beginning and the end of the curves was found quite distance, that the phase-field parameter variations are needed. It is found that variations of interface thickness produced the most significant results among other parameter variations. While in 2-dimentional observation, it is found that the ?T parameter affects the dendrite growth where ?T=0.5 results to the largest dendrite observed.