Change detection of profile with jumps and its application to 3D printing. (January 2020)

• Record Type: Journal Article
• Authors: Xiang, Dongdong; Tsung, Fugee; Pu, Xiaolong; Li, Wendong
• Is Part Of: Computers & industrial engineering. Volume 139(2020)
• Publication Date: 2020-01
• Subjects: Additive manufacturing -- Profile monitoring -- Quality control -- Jump -- Phase variability; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2019.106198
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: A change detection method of profile with jumps is proposed. After jump detection, a piecewise profile registration procedure is proposed. The key information is then integrated into an EWMA charting scheme. Simulations and a 3D printing application show that our proposed method works well in practice. Abstract: Three-dimensional (3D) printing, or additive manufacturing, is widely accepted as a disruptive technology, and becomes increasingly popular in manufacturing industries in recent years. As a result, quality control of 3D printing is crucial to improve the quality of products. In this paper, motivated by a novel 3D printing application with fused deposition modeling, we propose a change detection procedure for monitoring profile data with jumps that represents regular structural changes at certain positions. Jumps along with phase variability make profile monitoring challenging because it is hard to combine information in different profiles properly. First, jumps detection procedures are developed by using jump regression analysis technique. After the jumps are detected, a novel piecewise profile registration procedure is suggested to eliminate phase variability. The key information on jumps, profile registration, and the registered profiles is then integrated into an exponentially weighted moving average charting scheme. We use simulation studies and a real-data analysis to show the efficiency of the proposed control chart.