欢迎访问3777金沙娱场城

华盛顿州立大学Sinisa Mesarovic教授学术报告通知

2017/10/28 1535

应3777金沙娱场城焊接与连接国家重点实验室邀请,华盛顿州立大学Sinisa Mesarovic教授将于116日面向全校师生做连接过程中的中尺度计算机模拟学术报告,欢迎广大师生参加。

报告人:Sinisa Mesarovic

报告题目: Mesoscale computational models for bonding and joining(连接过程中的中尺度计算机模拟)

报告时间:2017116日(星期一)上午900

报告地点:哈工大材料楼(714报告厅)

报告摘要:

Physical processes during the joining of metal and ceramic parts are characterized by evolving microstructure (solid phases) and evolving domains (liquid metal in brazing).Thus, computational modeling of such processes requires that the problem of moving interfaces be addresses within the proper mathematical framework and computationally tractable algorithms.Standard sharp interface models based on Gibbs surface excess quantities lack the ability to handle topological discontinuities (breakup and coalescence of domains).In the last two decades, the diffuse interface (phase field) models have emerged as the (arguably) most efficient method for mesoscale simulations of evolving microstructures.

  

In this course we focus on three classes of problems which characterize joining processes:

(1)Phase transformations in the solid joints during the thermos-mechanical processes,

(2)Capillary flow of liquid metallic alloys in brazing, and,

(3)Melting/solidification.

  

The course is designed to gradually advance from simpler to more complex problems.All three problems can be complicated by differential mass transport of various components by diffusion, heat transport, nucleation of new phases, and large martensitic strains.The variety of problems is such that a unified mathematical formulation is impractical.Thus, the core of the course is the development of the relevant governing equations for particular problems.

  

The introductory part of the course includes short introduction to continuum thermomechanics and interface thermodynamics.Although the phase field models feature a diffuse (smeared) interface they must be firmly grounded in Gibbs sharp interface thermodynamics, which forms the basis for phase field parameter identification.

  

The numerical method of choice is the finite element (FE) method. In this course we discuss FE implementation and numerical procedures for solving coupled nonlinear initial/boundary problems which arise in this context.

报告人简介.docx