Optimization of surface measurement for metal additive manufacturing using coherence scanning interferometry

Abstract. Surface topography measurement for metal additive manufacturing (AM) is a challenging task for contact and noncontact methods. We present an experimental investigation of the use of coherence scanning interferometry (CSI) for measuring AM surfaces. Our approach takes advantage of recent technical enhancements in CSI, including high dynamic range for light level and adjustable data acquisition rates for noise reduction. The investigation covers several typical metal AM surfaces made from different materials and AM processes. Recommendations for measurement optimization balance three aspects: data coverage, measurement area, and measurement time. This study also presents insight into areas of interest for future rigorous examination, such as measuring noise and further development of guidelines for measuring metal AM surfaces.

[1]  Nicola Senin,et al.  Surface texture metrology for metal additive manufacturing: a review , 2016 .

[2]  H Han Haitjema,et al.  Uncertainty in measurement of surface topography , 2015, Surface Topography: Metrology and Properties.

[3]  Richard K. Leach,et al.  The measurement of surface texture using stylus instruments. , 2014 .

[4]  R K Leach,et al.  Guide to the measurement of smooth surface topography using coherence scanning interferometry. , 2008 .

[5]  Richard Leach,et al.  On tilt and curvature dependent errors and the calibration of coherence scanning interferometry. , 2017, Optics express.

[6]  Richard K. Leach,et al.  The measurement of rough surface topography using coherence scanning interferometry. , 2010 .

[7]  Kieran G. Larkin,et al.  Efficient nonlinear algorithm for envelope detection in white light interferometry , 1996 .

[8]  Peter J. de Groot,et al.  Interference microscope objectives for wide-field areal surface topography measurements , 2016 .

[9]  E. Brandl,et al.  Additive manufactured AlSi10Mg samples using Selective Laser Melting (SLM): Microstructure, high cycle fatigue, and fracture behavior , 2012 .

[10]  Peter J. de Groot,et al.  Measuring High-Slope and Super-Smooth Optics with High-Dynamic-Range Coherence Scanning Interferometry , 2014 .

[11]  Peter J. de Groot,et al.  Principles of interference microscopy for the measurement of surface topography , 2015 .

[12]  Roger Artigas,et al.  Imaging confocal microscopy , 2020, Advances in Optical Surface Texture Metrology.

[13]  A. T. Sidambe,et al.  Biocompatibility of Advanced Manufactured Titanium Implants—A Review , 2014, Materials.

[14]  R K Leach,et al.  Calibration of the metrological characteristics of Coherence Scanning Interferometers (CSI) and Phase Shifting Interferometers (PSI). , 2013 .

[15]  Franz Helmli,et al.  Focus Variation Instruments , 2011 .

[16]  R. Leach.  Optical measurement of surface topography , 2011 .

[17]  Richard K. Leach,et al.  TOPICAL REVIEW: Bandwidth characteristics and comparisons of surface texture measuring instruments , 2010 .

[18]  Richard K. Leach,et al.  Fundamental Principles of Engineering Nanometrology , 2009 .

[19]  I. Kiselev,et al.  Precision of evaluation methods in white light interferometry. Correlogram correlation method , 2017 .

[20]  Richard K. Leach,et al.  Characterisation of Areal Surface Texture , 2013 .

[21]  Joanna Schmit,et al.  White-Light Interference 3D Microscopes , 2013 .

[22]  D. Gu,et al.  Laser Additive Manufacturing of High-Performance Materials , 2015 .

[23]  Peter Lehmann,et al.  Signal formation in depth-scanning 3D interference microscopy at high numerical apertures , 2015, Speckle: International Conference on Speckle Metrology.

[24]  T. K. Kundra,et al.  Additive Manufacturing Technologies , 2018 .

[25]  Nicola Senin,et al.  Topography of selectively laser melted surfaces: A comparison of different measurement methods , 2017 .

[26]  Peter J. de Groot,et al.  The Meaning and Measure of Vertical Resolution in Optical Surface Topography Measurement , 2017 .