Product information modeling for capturing design intent for computer-aided intelligent assembly modeling

面向计算机辅助智能装配建模设计意图捕获的产品信息模型

¹ School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640, China
² College of Mechanical & Electronic Engineering, Tarim University, Aral 843300, China
³ School of Mechanical & Electrical Engineering, Xi′an Polytechnic University, Xi′an 710048, China

Received: 14 September 2021

Abstract

Intelligent assembly is a bottleneck to be broken with urgency in the on-going revolution of manufacturing industry. However, computer-aided assembly modeling as an important supporting technology is still suffering from the problems of too many manual interventions and low-level intelligence. An intelligent assembly modeling technology was previously developed based on design intent (DI), however there lacks systematical and supportive product information model. Consequently, a novel product information model that can capture DI for computer-aided intelligent assembly modeling is established, based on the previously developed concept of interaction feature pair (IFP). The corresponding meta class model is also constructed utilizing the object-oriented technology. On this basis, the implementation process of the product information model, as well as algorithms supporting the process of computer-aided intelligent assembly modeling, is clarified, and the algorithms include IFP identification and intelligent part matching. Computer-aided intelligent assembly modeling prototype system based on the product information model, together with a case study, validated the feasibility of the proposed technology.

摘要

智能装配是当前制造业大变革中亟待攻克的难题。计算机辅助装配建模是其重要支撑技术之一，但面临人工干预量大、智能化程度低的问题。前期发展了基于设计意图(design intent, DI)的计算机辅助智能装配建模方法，但缺乏系统的产品信息模型作为支撑。为此，以前期发展的交互特征偶(interaction feature pair, IFP)概念为基础，建立了面向计算机辅助智能装配建模DI捕获的新型产品信息模型，并采用面向对象的技术建立了匹配的类模型。阐明了产品信息模型的实现流程及支持计算机辅助智能装配建模过程的算法，包括IFP同一性判断算法和零件智能配合算法。基于产品信息模型的计算机辅助智能装配建模原型系统和实例验证了所提技术的可行性。