Title: Data-driven calibration for infrared camera in additive manufacturing

Authors: Jack Francis; Mojtaba Khanzadeh; Haley Doude; Vincent Hammond; Linkan Bian

Addresses: Department of Industrial and Systems Engineering, McCain Engineering 350, Mississippi State University, Mississippi State, MS 39762, USA ' Department of Industrial and Systems Engineering, McCain Engineering 350, Mississippi State University, Mississippi State, MS 39762, USA ' Center for Advanced Vehicular Systems, 2218, 200 Research Blvd, Starkvile, MS 39759, USA ' US Army Research Laboratory, Weapons and Materials Research Directorate, 4600 Deer Creek Loop, Aberdeen Proving Ground, MD 21005, USA ' Department of Industrial and Systems Engineering, McCain Engineering 260H, Mississippi State University, Mississippi State, MS 39762, USA

Abstract: Non-contact infrared (IR) measurement devices are currently used to monitor the thermo-physical processes during additive manufacturing (AM). A common IR device for thermal monitoring, the IR camera, requires a blackbody calibration in order to be used effectively, as the camera measures the radiant energy (irradiance) instead of the true temperature. This calibration is difficult, expensive, and requires specialised equipment. Therefore, this article details a data-driven calibration for IR cameras by comparing the lengths of cutoff regions captured by the pyrometer and IR camera. After scaling and interpolating pyrometer images, a similarity metric is developed that characterises the relationship between irradiance and temperature. An application of the IR camera for monitoring thermo-physical processes is discussed in detail.

Keywords: infrared camera; additive manufacturing; calibration; pyrometer; sensor fusion; metal laser-based additive manufacturing; porosity detection; direct laser deposition.

DOI: 10.1504/IJRAPIDM.2019.102531

International Journal of Rapid Manufacturing, 2019 Vol.8 No.4, pp.302 - 325

Received: 02 Dec 2017
Accepted: 07 Jun 2018
Published online: 30 Sep 2019 *

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