Multi-Objective Optimization for Improving Weight and Fault Characteristics of a DC HTS Cable in Cryo-Electric Aircraft
نویسندگان
چکیده
The aim of the presented study is to optimize different classes high-temperature superconducting (HTS) DC cables for improving their performances in a cryo-electric aircraft considering weight, peak temperature during faults, and ratio current passing through each tape critical HTS tapes. These terms were interpreted into three objective functions, multi-objective optimization algorithm known as non-dominated sorting genetic II was used find optimal solution clusters. cable conducted former materials by changing thickness radius. Results showed that with aluminum have lowest weight while copper formers best thermal performance against faults.
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ژورنال
عنوان ژورنال: Aerospace
سال: 2022
ISSN: ['2226-4310']
DOI: https://doi.org/10.3390/aerospace9120753