Optical measurement of surface topography

By Richard Leach. 2011

585 citations recorded by the source corpus.

Subfields: Computational Mechanics, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/15ad1363444c5f51d95c7b2bb207efd262d1d81e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Nicola Senin
2. Liam Blunt

In Mechanical Engineering

1. Nicola Senin
2. A. Townsend
3. Matthias Hirsch
4. Richard Leach
5. Liam Blunt
6. A. Clare
7. J. Taylor

Citations in the corpus

• Surface texture metrology for metal additive manufacturing: a review (2016, background): “ters limited in terms of the information they can provide relating to part functionality and detailed process feedback [98,99].”
• Characterisation of Areal Surface Texture (2013, methodology): “J Vac Sci Technol B 26:1794–1799 Leach RK (2009) Fundamental principles of engineering nanometrology. Elsevier, Amsterdam Leach RK (2011) Optical measurement of surface topography. Springer, Berlin Leach RK (2001) The measurement of surface texture using stylus instruments. NPL good practice guide N”
• Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing (2016, background): “However, there are two distinct classes of instrument: (a) those thatmeasure over large areas (metres squared)with tens to hundreds ofmicrometres spatial resolution (for example, fringe projection, photogrammetry and Moiré interferometry) [121], and (b) those that measure over small areas (up to a f”
• Principles of interference microscopy for the measurement of surface topography (2015, unknown): “As is the case with companion techniques, such as focus variation [53], structured light [18], and confocal microscopy [17], interference microscopy offers rapid, non-contact operation with high data density.”