Original scientific paper

https://doi.org/10.17559/TV-20240127001297

IAGA: A New Method of Automatic Layout for Dimensioning Engineering Drawings

Yunlei Sun ; Qingdao Institute of Software, College of Computer Science & Technology, China University of Petroleum (East China), Qingdao, 266580, China *
Zhaotong Shao ; Qingdao Institute of Software, College of Computer Science & Technology, China University of Petroleum (East China), Qingdao, 266580, China
Bingyi Yan ; Qingdao Institute of Software, College of Computer Science & Technology, China University of Petroleum (East China), Qingdao, 266580, China

* Corresponding author.

Abstract

This paper presents an automatic layout method for engineering drawing dimensioning based on an improved adaptive genetic algorithm (IAGA). The key novelty lies in transforming the complex dimensional layout optimization into a combinatorial directed acyclic graph problem enabling efficient evolutionary solving. Comparative analyses on multi-sized test cases validate the superiority of IAGA in dimensioning quality and performance over standard GA and adaptive GA approaches. Additional case studies on practical heat exchanger and vessel diagrams further demonstrate the technique's effectiveness in handling real-world industrial applications. This pioneering dimensional engineering automation solution promises to facilitate precise computer-aided manufacturability with enhanced efficiency.

Keywords

adaptive genetic algorithm; combinatorial optimization; computer-aided design; dimension annotations layout; directed acyclic graph

Hrčak ID:

325972

URI

https://hrcak.srce.hr/325972

Publication date:

31.12.2024.

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