4.7 Article

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

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 60, Issue 18, Pages 5595-5614

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2021.1966706

Keywords

Quality monitoring; process simulation; non-geometric dimensioning data; interior features; Finite Element Method(FEM)

Funding

  1. National Natural Science Foundation of China [71971181, 72071007]
  2. Research Grant Council of Hong Kong [T32-101/15-R]
  3. General Research Fund (GRF) [CityU 11203519]

Ask authors/readers for more resources

This paper presents a new framework for monitoring workpiece quality considering interior features, using a rapid simulation method to acquire the state of product interior features and proposing a simulation algorithm based on the multi-subdomain coupling method to supplement production quality assessment and control criteria.
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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available