Adjoint Based Topology Optimization in Nonlinear Magnetostatics Application to Hall Effect Thrusters

Rtimi Youness, F. Messine
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Abstract

In this paper, density based topology optimization is considered in nonlinear magnetostatics. Previously, topology optimization in linear magnetostatics was formulated to design Hall-effect thrusters and it was solved using gradient based solvers. In that previous version, the gradient information was provided by the continuous adjoint method. Herein, the adjoint approach is updated in order to take into account the saturation aspect of materials. This new version of the adjoint method is implemented and compared to a finite difference approach. The comparison shows that the so-developed adjoint based gradient information in non linear magnetostatics is accurate and ready for use to solve a topology optimization design problem. Hence, a Hall-effect thruster topology optimization problem is solved in both linear and non-linear cases and a comparative description of the found designs will be presented.
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基于共轭的非线性静磁拓扑优化在霍尔效应推力器中的应用
本文研究了非线性静磁系统中基于密度的拓扑优化问题。以前,线性静磁学中的拓扑优化是用来设计霍尔效应推力器的,并使用基于梯度的求解器进行求解。在之前的版本中,梯度信息是通过连续伴随方法提供的。本文对伴随方法进行了更新,以便考虑到材料的饱和方面。实现了新版本的伴随法,并与有限差分法进行了比较。结果表明,本文提出的基于梯度信息的非线性静磁学伴随律是精确的,可用于解决拓扑优化设计问题。因此,在线性和非线性两种情况下解决霍尔效应推进器拓扑优化问题,并对所发现的设计进行比较描述。
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