Multisensor Data Fusion for Additive Manufacturing Process Control

2018 ◽  
Vol 3 (4) ◽  
pp. 3279-3284 ◽  
Author(s):  
Ambra Vandone ◽  
Stefano Baraldo ◽  
Anna Valente
Keyword(s):  
Additive Manufacturing ◽  
Process Control ◽  
Data Fusion ◽  
Manufacturing Process ◽  
Multisensor Data Fusion ◽  
Manufacturing Process Control ◽  
Multisensor Data

Orthogonal Analysis of Multisensor Data Fusion for Improved Quality Control

2017 ◽  
Vol 139 (10) ◽  
Author(s):  
Peng Wang ◽  
Zhaoyan Fan ◽  
David O. Kazmer ◽  
Robert X. Gao
Keyword(s):  
Quality Control ◽  
Data Fusion ◽  
Dimensional Space ◽  
Sensor Data ◽  
Polymer Injection ◽  
Multisensor Data Fusion ◽  
Part Quality ◽  
Manufacturing Process Control ◽  
Using Data ◽  
Multisensor Data

Multisensor data fusion can enable comprehensive representation of manufacturing processes, thereby contributing to improved part quality control. The effectiveness of data fusion depends on the nature of the input data. This paper investigates orthogonality as a measure for the effectiveness of data fusion, with the goal to maximize data correlation with part quality toward manufacturing process control. By decomposing sensor data into a lifted-dimensional space, contribution from each of the sensors for quantifying part quality is revealed by the corresponding projection vector. Performance evaluation using data measured from polymer injection molding confirmed the effectiveness of the developed technique.

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