Author:
Chen Kunyong,Zhao Yong,Liu Yuming,Yu Haidong,Huang Shunzhou
Abstract
Purpose
This paper aims to propose an optimization method to automatically adjust the spatial route of multibend pipes to meet the assembly demands in constrained space.
Design/methodology/approach
The compact geometric parameters that uniquely determine the pipe route are analyzed. Besides, the relationship between these parameters and the end pose is revealed based on the exponential product formula. Mathematical representations for the engineering constraints, including the end pose restriction, collision interference, manufacture ability and geometric limitations, are further established. On this basis, the adjustment of the spatial route is formulated as a multiconstraint optimization problem. A modified particle swarm optimization method based on the combination of gradient projection and swarm intelligence is designed to find the near-optimal pipe that meets the required assembly demands.
Findings
The experimental results show that the proposed method can effectively find the feasible pipe route that satisfies the engineering constraints and the end pose requirement is highly guaranteed.
Originality/value
The proposed method can automate the geometric adjustment of multi-bend pipes to meet the actual assembly demands, which significantly reduces manual efforts and guarantees high accuracy. The results demonstrate the possibility of further applications in the pipe assembly or design process, especially in ships, aerospace products or pressure vessels.
Subject
Industrial and Manufacturing Engineering,Control and Systems Engineering
Reference25 articles.
1. Task-priority formulations for the kinematic control of highly redundant articulated structures,1998
2. Automatic CAD modeling of industrial pipes from range images,1997
3. Octomap: an efficient probabilistic 3d mapping framework based on octrees;Autonomous Robots,2013
4. Three-dimensional tube geometry control for rotary draw tube bending, part 1: bend angle and overall tube geometry control;Journal of Manufacturing Science & Engineering,2001
5. A genetic algorithm approach to piping route path planning;Journal of Intelligent Manufacturing,1999
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献