亚洲免费人人妻人人,cao78在线视频,福建一级毛片,91精品视频免费观看,高清另类图片操逼,日本特黄特色大片免费看,超碰欧美人人澡曰曰澡夜夜泛

Phase-field Modeling of the Influenc

時間:2023-04-27 20:59:06 航空航天論文 我要投稿
  • 相關(guān)推薦

Phase-field Modeling of the Influence of Elastic Field on the Nucleation and Microstructure Evolution in Precipitation

A phase-field method was employed to study the influence of elastic field on the nucleation and microstructure evolution. Two kinds of nucleation process were considered: one using fixed nucleation probability and the other calculated from the classical nucleation theory. In the latter case, the simulated results show that the anisotropic elastic strain field yields significant effects on the behavior of nucleation. With a large lattice misfit between the matrixes and the precipitates, the nucleation process does not appear fully random but displays some spatial correlation and has a preference for the elastic soft direction. However, with a small lattice misfit, this bias does not look quite clean On the contrary, in the case of fixed nucleation probability, the elastic field has no influence on the nucleation process. The lattice mismatch also exerts influences on the microstructure morphology: with lattice mismatch becoming larger, the microstructure proves to align along the elastic soft direction.

作 者: ZHANG Yu-xiang WANG Jin-cheng YANG Yu-juan YANG Gen-cang ZHOU Yao-he   作者單位: State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an 710072, China  刊 名: 中國航空學(xué)報(英文版)  ISTIC 英文刊名: CHINESE JOURNAL OF AERONAUTICS  年,卷(期): 2007 20(2)  分類號: V2  關(guān)鍵詞: elastic field   nucleation   phase-field method   precipitation  

【Phase-field Modeling of the Influenc】相關(guān)文章:

Progress in modeling of fluid flows in crystal growth processes04-26

A kinetic modeling study of pollutant formation in premixed hydrocarbon flames04-25

Energy Stable Schemes for Cahn-Hilliard Phase-Field Model of Two-Phase Incompressible Flows04-26

Automated Separation of Stars and Normal Galaxies Based on Statistical Mixture Modeling with RBF Neural Net-works04-27