Approach to Online Defect Monitoring in Fused Deposition Modeling Based on the Variation of the Temperature Field
Joint Authors
He, Ketai
Wang, Huan
Hu, Huaqing
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
According to the surface state of the product, a process quality monitoring technology based on a Qualitative Trend Analysis method is proposed.
The construction of the product surface defect knowledge base provides a basis for online monitoring of the nozzle status of the fused deposition modeling (FDM) machine.
Ten workpieces are designed in all, and each one conducts two prints which are normal and abnormal, respectively.
An infrared thermal imager is used to obtain the temperature image of each layer of the workpiece surface; the feature values are extracted, and the difference between the feature values in the two kinds of printing is calculated.
The Qualitative Trend Analysis method is used to analyze the difference in order to obtain the corresponding sensitive feature parameters corresponding to the starting points in different phases of the product printing.
The change rules of the sensitive feature values are summarized, and the threshold of each starting point is solved.
Base on that, the knowledge rules are defined and the defect knowledge base is constructed.
Finally, a new experiment is designed to obtain the theoretical starting point of each state of the product surface in the building process.
By comparing the theoretical starting point with the actual starting point, the feasibility of the knowledge rules in monitoring the nozzle working state is verified.
American Psychological Association (APA)
He, Ketai& Wang, Huan& Hu, Huaqing. 2018. Approach to Online Defect Monitoring in Fused Deposition Modeling Based on the Variation of the Temperature Field. Complexity،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1133613
Modern Language Association (MLA)
He, Ketai…[et al.]. Approach to Online Defect Monitoring in Fused Deposition Modeling Based on the Variation of the Temperature Field. Complexity No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1133613
American Medical Association (AMA)
He, Ketai& Wang, Huan& Hu, Huaqing. Approach to Online Defect Monitoring in Fused Deposition Modeling Based on the Variation of the Temperature Field. Complexity. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1133613
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133613