27 March 2018 Computational modeling of colorimetric primary transducer for metrological assurance in additive manufacturing
Author Affiliations +
Abstract
Many additive manufacturing (AM) systems are based on laser technology. The advantage of laser technology is that it provides a high-intensity and high-collimation energy beam that can be controlled. Since AM requires that the material on each layer has to be solid or connected to the previous one, the energy of laser radiation is exactly the needed technical tool for the processing of the material. AM uses two types of laser processing: cutting and heating. One of the most popular (common) types of measurements in the field of laser metrology is the control of the energy parameters of the sources of laser radiation. At present, calorimeters provide the highest accuracy of absolute measurements of laser radiation in the power range from several watts to tens of kilowatts. The main elements that determine the accuracy of reproduction, maintenance and transfer of the unit of laser power are the primary measuring converters (PMCs), which are the part of the equipment of the national primary measurement standards of Ukraine. A significant contribution to the uncertainty budget of the primary measuring calorimetric converter is the unbalanced replacement of laser radiation by the heat flux that calibrates this converter. The heterogeneous internal structure of the calorimetric primary converter, the nonlinearity of processes occurring in it, and the multifactorial process of its calibration substantially complicate the development of primary measuring converters. The purpose of this paper is to simulate the thermal field of the primary converter for maximum reduction of the uncertainty of calibration. The presented research is a part of the scientific work that NSC “Institute of Metrology” carries out under CООМЕТ and EMPIRE projects. The modeling was performed in the academic version of ANSYS.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Volodymyr Skliarov, Volodymyr Skliarov, } "Computational modeling of colorimetric primary transducer for metrological assurance in additive manufacturing", Proc. SPIE 10602, Smart Structures and NDE for Industry 4.0, 106020S (27 March 2018); doi: 10.1117/12.2296341; https://doi.org/10.1117/12.2296341
PROCEEDINGS
10 PAGES


SHARE
Back to Top