Product quality monitoring approach considering non-geometric dimensioning data with rapid production process simulation

Abstract

ABSTRACT Workpiece is composed of its profile and material. The non-geometric dimensioning interior features of products, such as residual stress, may determine the workpiece material properties and the product performance, which should be included into manufacture quality control. The influence of process parameter uncertainty and fluctuation on state of interior property could not be neglected. In this paper, a novel framework of monitoring workpiece quality considering interior features is presented. In this framework, product quality of interior property is considered. In this framework, a rapid simulation method is proposed to acquire the state of product interior features. According to actual process parameter measured by sensors, this simulation method could calculate simulation results of the workpiece’s non-geometric dimensioning interior features. By extracting data from off-line database and creating an on-line simulation model, the proposed method can finish the simulation of workpiece interior features rapidly. This simulation algorithm is proposed and discussed mathematically based on the multi-subdomain coupling method, and the simulation error is estimated. With the simulation method, this framework could supplement production quality assessment and control criteria. A case study of a rolling production process shows that this method is effective and could be used to monitor workpiece quality in-process.