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Investigating relationship between surface topography and emissivity of metallic additively manufactured parts

Journal Article · · International Communications in Heat and Mass Transfer
 [1];  [2];  [2];  [2];  [2];  [3]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Univ. of Texas, Austin, TX (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Univ. of Texas, Austin, TX (United States)

Due to the direct relationship between thermal history and mechanical behavior, in situ thermal monitoring is key in gauging quality of parts produced with additive manufacturing (AM). Accurate monitoring of temperatures in an AM process requires knowledge of environment and object parameters including object emissivity. The emissivity is dependent on several variables, including: wavelength, material composition, temperature, and surface topography. Researchers have been concerned with the thermal emissivity dependence on temperature since large ranges are seen in metal powder bed processes, but there is also an extensive range of surfaces produced by AM. This work focused on discovering what roughness characteristics control thermal emissivity through investigation of prototypic 316 stainless steel AM samples produced with a range of build conditions on a laser powder bed fusion machine. Through experimental measurements of emissivity using hemispherical directional reflectance (HDR), guided by simulations using a finite-difference time-domain (FDTD) Maxwell solver, it was found that combinations of existing roughness parameters describing both height and slope of the surface correlate well with emissivity changes. Furthermore, these parameters work well due to their apt description of surface features encouraging internal reflection, which is the phenomenon that increases emissivity when a surface falls under the geometric optical region conditions.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000; NA0003525
OSTI ID:
1668352
Alternate ID(s):
OSTI ID: 1630168
Report Number(s):
SAND--2020-4863J; 685958
Journal Information:
International Communications in Heat and Mass Transfer, Journal Name: International Communications in Heat and Mass Transfer Vol. 115; ISSN 0735-1933
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (11)

Comparing FDTD and Ray-Tracing Models in Numerical Simulation of HgCdTe LWIR Photodetectors journal April 2016
Modeling the effects of surface roughness on the emissivity of aluminum alloys journal November 2006
Surface roughness analysis, modelling and prediction in selective laser melting journal April 2013
Surface texture metrology for metal additive manufacturing: a review journal October 2016
The absorption of light by rough metal surfaces—A three-dimensional ray-tracing analysis journal May 2008
Effect of roughness on the emissivity of the precious metals silver, gold, palladium, platinum, rhodium, and iridium journal January 2001
I. On the relation between the radiating and absorbing powers of different bodies for light and heat journal July 1860
On the Emissive Power of Wedge-Shaped Cavities and Their Use in Temperature Measurements journal March 1911
Process defects and in situ monitoring methods in metal powder bed fusion: a review journal February 2017
Optical Modeling of Black Silicon for Solar Cells Using Effective Index Techniques journal November 2017
Application of the Finite-Difference Time-Domain Method to Sinusoidal Steady-State Electromagnetic-Penetration Problems journal August 1980

Figures / Tables (12)