Since 1930, many postulations reported on the mechanism on abnormal grain growth (AGG) which is the key for Si-Fe superior magnetic properties, however, none have provided a concrete understanding of this phenomenon. From our recent investigation we established and demonstrated a new theory that underlines the fundamental mechanistic approach of abnormal grain growth in 3% Si-Fe steel. It is demonstrated, that the external heat flux direction applied during annealing and Si atom positions in the solid solution disordered a-Fe cube unit cell that cause lattice distortions and BCC symmetry reduction are the most influential factors in the early stage of Goss AGG than what was previously thought to be dislocation related stored energy, grain boundary characteristics and grain size/orientation advantages. The article published from this work reviewed and revaluated the main theories developed since the past century on AGG in electrical steels and proposed a new theory with a proven experimental demonstration. The theory was discussed in many national and international conferences for the past years and attracted great attention in electrical steel and physical metallurgy communities. The theory and its demonstration testified here has already created a new aspect into studying AGG and its control mechanistically, technologically and experimentally. We will further investigate the heat flow direction effect on grain growth based on the theory described in this article. This work was conducted in collaboration with Cogent Orb (electrical steel producer) and ISIS neutron diffraction facility in Oxford
“Soran Birosca, Ali Nadoum, Diween Hawezy, Fiona Robinson, Winfried Kockelmann, Mechanistic Approach of Goss Abnormal Grain Growth in Electrical Steel: Theory and Argument, Acta Materialia, Volume 185, Pages: 370-381, 2020”.
Our published work with Cummins Turbo technologies reported pioneering theoretical and technological advancements in casting technology through recommending alternative manufacturing parameters for investment casting to the world largest turbocharger manufacturer, i.e., Cummins Turbo Technologies. The work attracted the aerospace companies’ interest and presented in many international conferences. The improved alloy’s microstructure using this new casting parameters have played a critical role in efficiency enhancement of the turbocharger to reduce CO2 generation in engines. The work contributed greatly to the further understanding the fatigue mechanism of IN713C produced by investment casting. Furthermore, understanding and prioritising the key factors that undermine/weaken fatigue properties in IN713C nickel-based superalloy that recommended in this collaborating work had provided guidance for the future alloy design and future industrial production process. Moreover, the 3D perspective adopted in the investigation offered a good technical background and knowledge transfer for other investigation in physical and mechanical metallurgy fields.
The work on GOTA (Greater Operating Temperature Alloy) project under CleanSky European funded program was conducted to quantify each microstructure parameters that affect ductility reduction in titanium alloys. The parameters included: α-case formation, α2 and silicide precipitates volume fractions, grain boundary characteristics, microtexture, grain orientation and morphology as well as grain size /shape. This exact quantification lead to some critical conclusions which helped the industrial partners to consider the Ti-834 processing parameters as well as modification of the chemical composition of Ti-834 used for aerospace applications. The ductility issue is highly imperative aspect for aerospace industry as the ductility regression is the main concern in using Ti-834 titanium alloy at temperatures above 500ºC for aerospace applications. In the published article from this work, a new theoretical model supported by experimental observations was proposed to describe the influence of alloying element partitioning during high temperature exposure on the deformation mechanism. In addition to high-resolution SEM and EBSD analysis, EDS mappings were performed at high spatial resolution in order to determine alloying element partitioning at nano scale