Uncertainty Measurement and Analysis for Quality and Reliability in Manufacturing Process

2019 International Conference on Advances in Materials, Mechanical and Manufacturing

材料科学;机械制造

Ahmed, Altaf^1 ; Guozhu, Jia^1 ; Majeed, Arfan^2 ; Salam, Abdus^3

Department of Management Science and Engineering, School of Economics and Management, Beihang University (BUAA), Beijing

100191, China^1

School of Mechanical Engineering, Northwestern Polytechnical University (NPU), Xian

710072, China^2

School of Aeronautical Science and Engineering, Beihang University (BUAA), Beijing

100191, China^3

关键词: Combined uncertainty;    Key characteristics;    Manufacturing process;    Manufacturing quality;    Manufacturing techniques;    Sensitivity coefficient;    Uncertainty factors;    Uncertainty measurements;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/576/1/012007/pdf
DOI  :  10.1088/1757-899X/576/1/012007

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The variation and uncertainty existed in every process and considered as an essential element in precise, accurate and high-quality manufacturing, especially in the Industry 4.0 era. Manufacturing quality and reliability is affected by variations and uncertainties in different process parameters and influencing factors. The variations and uncertainties are considered very critical in measurement and monitoring process, i.e., prediction or prognostics. These variations and subsequent uncertainties are needed to be identified, quantified, analyzed and controlled. This paper presents an approach to uncertainty measurement and analysis in manufacturing. The key characteristic parameter is identified which is critical for final product quality and reliability. To determine the uncertainty in the specific parameter, the uncertainty factors of both the manufacturing process and measurement process are determined. The combined uncertainty is determined by considering the influencing factors both in manufacturing and measurement process. The relation of each factor to the key parameter is analyzed and the sensitivity coefficient is determined mathematically or experimentally. The combined and expanded uncertainty is determined considering all related factors. The proposed approach has been applied to an additive manufacturing technique, and useful results are achieved.