K. Weeber
Harvey Mudd College
5 Papers
53 Citations
K. Weeber is an academic researcher from Harvey Mudd College. The author has contributed to research in topics: Finite element method & Nonlinear programming. The author has an hindex of 4, co-authored 5 publications.
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Papers
Fictitious minima of object functions, finite element meshes, and edge elements in electromagnetic device synthesis
TL;DR: Three approaches to minimizing mesh error are presented: adaptive meshes, edge elements, and crunched meshes, the latter of which is shown to be significantly faster for optimization, although the field solutions in the iterations have accuracy depending on the fineness of the initial mesh.
41
The subregion method in magnetic field analysis and design optimization
K. Weeber,S.R.H. Hoole +1 more
TL;DR: The subregion approach is successfully applied to the procedure of device synthesis, where a large number of field computations is required in the iterative search for the optimal design.
31
Design sensitivity for skin effect and minimum volume optimization of grounded and ungrounded shields
TL;DR: The aim of the present work is to extend the design sensitivity analysis of finite-element eddy current formulations to the situation of constraining the total induced current by applying Ampere's law, and to present a formulation for the minimum weight optimization of magnetic shields.
9
Structural Design Optimization as Technology Source for Design Sensitivity Analysis Developments in the Electromagnetic Domain
K. Weeber,S. Ratnajeevan,H. Hoole +2 more
- 03 Aug 1992
TL;DR: The growing interest in optimization in recent years reflects a realization of the effectiveness of numerical techniques for improving electromagnetic performance as well as confidence in the presently available numerical field calculation methods as mentioned in this paper.
3
Geometric parametrization and constrained optimization techniques in the design of salient pole synchronous machines
K. Weeber,S.R.H. Hoole +1 more
TL;DR: The geometry of a salient pole generator so as to achieve a desired field configuration in the airgap is used as an illustrative numerical example to demonstrate the geometric parametrization technique, emphasize the importance of constraints in engineering design, and highlight the advantageous features of the augmented Lagrangian multiplier method for nonlinear constrained optimization.