Heuristics for balancing turbine fans
成果类型：
Article
署名作者：
Amiouny, SV; Bartholdi, JJ; Vate, JH
署名单位：
University System of Georgia; Georgia Institute of Technology
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.48.4.591.12413
发表日期：
2000
页码：
591-602
关键词：
摘要：
We develop heuristics for problem that models the static balancing of turbine fans: load point masses at regularly spaced positions on the periphery of a circle so that the residual unbalance about the center-which corresponds to the axis of rotation of the fan-is as small as possible. We give worst-case guarantees for our heuristics in terms of residual unbalance. For the case of an even number of blades, we show that one of our heuristics provides the same worst-case guarantee (with respect to the ideal of perfect balance) as does total enumeration. Furthermore, computational tests show that our heuristics are orders of magnitude faster and not far from optimum on average.