增材制造损坏替换件拓扑优化设计方法

Translated title of the contribution: Topology optimization method for designing replacement of the damaged part

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Emergency support and wartime repair are one of the important directions for the development of additive manufacturing technology, and also pose new ehallenges to the structural optimization design for additive manufacturing. In Order to realize the configuration design for replacement parts of dissimilar materials, a method of topology optimization for designing replacement of damaged part manufactured by additive manufacturing was proposed. The cooling fan of an airplane is investigated as an example. Based on the analysis of the Service environment and rush-repair requirement, a topology optimization problem is established under the framework of the variable density method. Meanwhile, the weight and the moment of inertia of the replacement part should be kept as equal as possi-ble to those of the original part. Accordingly, the topology optimization formulation is established to minimize the Overall structural compliance under the interval constraints of the weight and the moment of inertia of the whole structure. Sensitivity analysis is carried out consider the design-dependent effects of the centrifugal forces. Accord-ing to the topology optimization result and the analysis data of the re-modelled structure, it can be seen that the topology optimization results of the cooling fan replacement parts have good convergence and meet all the design re-quirements. The reconstruction scheme meets the process requirements of additive manufacturing, which verifies the effectiveness of the design method in this paper.

Translated title of the contributionTopology optimization method for designing replacement of the damaged part
Original languageChinese (Traditional)
Pages (from-to)23-29 and 50
JournalAdvances in Aeronautical Science and Engineering
Volume15
Issue number1
DOIs
StatePublished - Feb 2024

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