Purpose

The purpose of this paper is to provide a knowledge-enabled digital twin for smart design (KDT-SD) of aircraft assembly line (AAL) to enhance the AAL efficiency, performance and visibility. Modern AALs usually need to have capabilities such as digital-physical interaction and self-evaluation that brings significant challenges to traditional design method for AAL. The digital twin (DT) combining with reusable knowledge, as the key technologies in this framework, is introduced to promote the design process by configuring, understanding and evaluating design scheme.

Design/methodology/approach

The proposed KDT-SD framework is designed with the introduction of DT and knowledge. First, dynamic design knowledge library (DDK-Lib) is established which could support the various activities of DT in the entire design process. Then, the knowledge-driven digital AAL modeling method is proposed. At last, knowledge-based smart evaluation is used to understand and identify the design flaws, which could further improvement of the design scheme.

Findings

By means of the KDT-SD framework proposed, it is possible to apply DT to reduce the complexity and discover design flaws in AAL design. Moreover, the knowledge equips DT with the capacities of rapid modeling and smart evaluation that improve design efficiency and quality.

Originality/value

The proposed KDT-SD framework can provide efficient design of AAL and evaluate the design performance in advance so that the feasibility of design scheme can be improved as much as possible.

中文翻译：

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用于飞机装配线智能设计的知识驱动型数字孪生

目的

本文的目的是为飞机装配线 (AAL) 的智能设计 (KDT-SD) 提供知识支持的数字孪生，以提高 AAL 的效率、性能和可见性。现代AAL通常需要具备数字物理交互和自我评估等能力，这给传统的AAL设计方法带来了重大挑战。结合可重用知识的数字孪生（DT）作为该框架中的关键技术被引入，通过配置、理解和评估设计方案来推动设计过程。

设计/方法/方法

提出的 KDT-SD 框架是在引入 DT 和知识的情况下设计的。首先，建立动态设计知识库（DDK-Lib），支持DT在整个设计过程中的各种活动。然后，提出了知识驱动的数字AAL建模方法。最后，基于知识的智能评估被用来理解和识别设计缺陷，这可以进一步改进设计方案。

发现

通过提出的 KDT-SD 框架，可以应用 DT 来降低 AAL 设计中的复杂性并发现设计缺陷。此外，这些知识使 DT 具备快速建模和智能评估的能力，从而提高设计效率和质量。

原创性/价值

所提出的KDT-SD框架可以提供AAL的高效设计并提前评估设计性能，从而尽可能提高设计方案的可行性。