Work

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

Year: 2024

Type: article

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.

Source: Tehnicki vjesnik - Technical Gazette

DOI: 10.17559/tv-20240127001297

Authors: Sun, Yunlei, Shao, Zhaotong, Yan, Bingyi

Institution: China University of Petroleum, East China

Language: English

Topic: Manufacturing Process and Optimization

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $431