Real-time acoustic emission monitoring of powder mass flow rate for directed energy deposition.

In order to ensure a reliable and repeatable additive manufacturing process, the material delivery rate in the directed energy deposition (DED) process requires in situ monitoring and control. This paper demonstrates acoustic emission (AE) sensing as a method of monitoring the flow of powder feedstock in a powder fed DED process. With minimal calibration, this signal closely correlates to the actual mass flow rate. This article describes the fabricated mass flow monitoring system, documents various conditions in which the actual flow rate deviates from its set value, and details situations that highlight the system's utility. While AE mass flow monitoring is not free of concerns, its features make it an attractive measurement technique in the powder-fed DED process. The work presented here highlights the results obtained and illustrates that accurate monitoring of powder flow in real-time regardless of environmental conditions within the build chamber is possible.

[1]  MengChu Zhou,et al.  On-line robust identification of tool-wear via multi-sensor neural-network fusion , 1998 .

[2]  Frank W. Liou,et al.  An investigation of the effect of direct metal deposition parameters on the characteristics of the deposited layers , 2014 .

[3]  Amitava De,et al.  Three-dimensional heat transfer analysis of LENSTM process using finite element method , 2009 .

[4]  Richard D. Leppert Sensing , 2019, Art and the Committed Eye.

[5]  Philippe Veron,et al.  A Robust Method for Drilling Monitoring using Acoustic Emission , 2012 .

[6]  R. Reuben,et al.  AE Monitoring and Analysis of HVOF Thermal Spraying Process , 2011 .

[7]  S. L. Semiatin,et al.  The effect of laser power and traverse speed on microstructure, porosity, and build height in laser-deposited Ti-6Al-4V , 2000 .

[8]  David,et al.  Upstream Multiphase Flow Assurance Monitoring Using Acoustic Emission , 2012 .

[9]  Frank W. Liou,et al.  Variable Powder Flow Rate Control in Laser Metal Deposition Processes , 2008 .

[10]  R. Reuben,et al.  Statistical distribution models for monitoring acoustic emission (AE) energy of abrasive particle impacts on carbon steel , 2012 .

[11]  S. J. Wilcox,et al.  An investigation of the generation of acoustic emission from the flow of particulate solids in pipelines , 2013 .

[12]  E. Howells,et al.  Detection of Partial Discharges in Transformers Using Acoustic Emission Techniques , 1978, IEEE Transactions on Power Apparatus and Systems.

[13]  L. M. Kukreja,et al.  A finer modeling approach for numerically predicting single track geometry in two dimensions during Laser Rapid Manufacturing , 2012 .

[14]  Andrew J. Pinkerton,et al.  Microstructure characterisation and process optimization of laser assisted rapid fabrication of 316L stainless steel , 2005 .

[15]  J. Berry,et al.  Pore Formation in Laser-Assisted Powder Deposition Process , 2009 .

[16]  W. Steen,et al.  Design characteristics and development of a nozzle for coaxial laser cladding , 1998 .

[17]  Alberto Boschetto,et al.  Powder size measurement by acoustic emission , 2011 .

[18]  Radovan Kovacevic,et al.  Sensing, modeling and control for laser-based additive manufacturing , 2003 .

[19]  Kai Zhang,et al.  Intelligent Metal Powder Laser Forming System , 2006, PROLAMAT.

[20]  Xiao Dong Hu,et al.  Development of Monitoring and Control System for Laser Remanufacturing , 2010 .

[21]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[22]  Julie Varley,et al.  The uses of passive measurement of acoustic emissions from chemical engineering processes , 2001 .

[23]  Pradeep K. Rohatgi,et al.  Semi-empirical model of deposit size and porosity in 420 stainless steel and 4140 steel using laser engineered net shaping , 2015 .

[24]  Jan K. Spelt,et al.  Mass flow rate measurement in abrasive jets using acoustic emission , 2009 .

[25]  Esther T. Akinlabi,et al.  Gas flow rate and powder flow rate effect on properties of laser metal deposited Ti6Al4V , 2013 .

[26]  C. B. Scruby,et al.  Characterization of particle impact by quantitative acoustic emission , 1990 .

[27]  Yang Heng-hu,et al.  Nondestructive Detection of Valves Using Acoustic Emission Technique , 2015 .

[28]  Paola Antonaci,et al.  Fatigue Crack Propagation Monitoring by Acoustic Emission Signal Analysis , 2011 .