No abstract

No abstract

No abstract

A significant amount of carbon dioxide (CO2) is being released into the atmosphere as a result of the acceleration of industrialization and increased energy consumption, which are causing a rise in world temperatures. Despite the fact that nations all over the world have actively participated in CO2 storage projects, there is still not enough to moderate global temperatures. Therefore, there is an urgent need for the development of CO2 sequestration technologies. The main geological storage trapping mechanisms are discussed in this work along with an analysis of the major influencing variables. Additionally, the benefits and drawbacks of significant storage locations and current research hotspots are explored. Storage project development across the globe is outlined. The use of machine learning for CO2 sequestration is reviewed toward the end. This extensive review reveals that the main variables affecting CO2 capture capacity are hydrodynamic and geochemical. The sequestration capability of various storage sites is significantly influenced by the reservoir characteristics and implementation methodologies. The successful implementation of the storage project is determined by local policies and public support. The development of machine learning technologies makes storage projects safer and more dependable.

No abstract

A tow-dimensional Cellular Automaton model has been established to simulate dynamic recrystallization (DRX) process of metals. The model considers the process of dynamic recovery, dislocation density, nucleation rate and etc on DRX. The variation of dislocation density, recrystallization-grain (R-grain) shape, orientation and mean size of R-grains can be detected during the whole deformation process. The simulated results agreed well with classical theory of growth kinetics. The effects of strain and strain rate to DRX and R-grains are discussed in the end of this paper. The percentage of DRX and mean size of R-grains are related with both strain and strain rate.

No abstract

We investigated the structure transition and the electrocaloric effect in PbZr1-xTixO3 (PZT) with x=0.7, 0.8 and 0.9. The results show that 50 MV/m can make the structural transition be a continuous one. When x=0.7, 0.8 and 0.9 at the zero field, the first order structural transition occurs at T0=685, 687, and 698 K, respectively. Upon a strong electric field, the first order structural transition comes to the second one, which leads to lower the change of specific heat. The structural transition temperature is shifted at high temperature with increasing electric field. The maximum electrocaloric effect is present occurs at about 200 K above the corresponding Curie temperature. With increasing composition of Ti, the electrocaloric effect is enlarged, together with increasing structure transition temperatures.