Stylus and Optical Profilometry Webinars

Surface Finish Optimization for Advanced Manufacturing by Optical Profiler

Understand how the areal roughness parameter impacts part/component quality and why it drives improvement of surface finishing processes in manufacturing

Controlling surface texture is critical to the function, lifespan, and aesthetics of product parts and components

This webinar focuses on how advanced optical profilers can be used to accurately assess and gauge ISO 25178 compliance of complex surface textures through the Sa areal roughness parameter 

Find out more about the technology featured in this webinar or our other solutions for surface finish measurement:

Recorded on June 13, 2020

Use the Areal Roughness Parameter to Optimize Surface Finishing Processes

Today's manufacturing processes go beyond simple stamping, molding, or CNC machining. They often include advanced processes--like imprinting specific textures on surfaces, This now-common surface finishing process in manufacturing aims to improve the function of parts and components, extend their useful life, or enhance their aesthetics.

Geared towards viewers like quality control engineers, metrology engineers, material development researchers, application engineers for additive and 3D printing manufacturing, and designers of finishing means, this webinar explores:

  • The mechanisms behind our advanced optical profilers' ability to accurately assess complex surface texture through areal roughness parameters in compliance with ISO 25178;
  • How these same profilers can be used to optimize manufacturing processes and control the quality of the imprinting process; and
  • Practical industrial cases, ranging from an mechanical part to a polymer 3D-printed surface made via additive manufacturing.

Program Overview


Finishing Process for 3D Printed Polymer Surfaces

Samuel Lesko, Ph.D.

In cursus turpis massa tincidunt dui. Non odio euismod lacinia at quis.


Surface Texture and Paint Adhesion

Donald K. Cohen, Ph.D.
Michigan Metrology

This presentation discusses how texture measurements of functional surfaces are limited by exploration equipment and how the SMART methodology for texture functionality research guides researchers toward the correct answers.


What Texture for What Functionality and Howto Characterize It?

Raphaël Deltombe

This presentation covers the use of 3D optical profilometry, and multi-spectral analysis, to demonstrate correlation between the base substrate texture features to the final paint appearance


Raphaël Deltombe

Morphomeca (LAMIH, Valenciennes, France)

Raphaël Deltombe has a PhD in mechanical science and hold CNRS's research engineer position at Morphomeca team lead by Prof. Maxence Bigerelle. His main research activities are centered on exploration and analysis of microscopic texture applied to industrial manufacturing pieces in order to identify specific roughness signature as a function of environment parameters (Process parameters, lifetime...)

Donald K. Cohen, Ph.D.

Michigan Metrology, LCC (USA)

Donald Cohen has Ph.D. in Physics and Optical Sciences from the University of Arizona. Since 1994, he has established servicing company Michigan Metrology, LLC to help engineers and scientist solve problems related to “leaks, squeaks, friction, wear, appearance, adhesion and other issues”, using 3D Surface MicroTexture Measurement and Analysis. Prior that, he held position at IBM before joining Wyko corporation to develop 3D surface texture metrology instrumentation.

Samuel Lesko, Ph.D.
Dir. of Technology and Apps Development for Tribology, Stylus & Optical Profilers, Bruker


Samuel Lesko has over 20 years of optical and stylus profiler applications experience, particularly in using white-light interferometry in a wide variety of fields, from MEMS and semiconductor to automotive and aerospace. He is a member of SME and part of ISO/TC 213/WG committee (areal roughness) and obtained his physics Ph.D. and material science engineering degree at the University of Burgundy in France.