Coating Measurement Gage Enhances Reliability, Safety
Paul N. Gardner has released the coatmaster Flex gage for noncontact wet film thickness measurements.
Paul N. Gardner (Gardco, Columbia, Maryland) has released the coatmaster Flex noncontact gage. This advanced measurement equipment is designed for wet film thickness measurements. According to the company, it outperforms other photothermal, LED/laser-based and ultrasound systems on the market in all relevant industrial aspects.

Source | Gardco
Flex requires minimal calibration, is insensitive to the angle and distance of measurement and permits measurement of coating thickness directly after the application of the coating material and before drying or curing.
Its reliability, user-friendliness, safety, cost-effectiveness, precision and accuracy will make it important to major coating line manufacturers, large paint manufacturers, renowned experts and by coaters around the globe, Gardco notes.
Additional features to note, in addition to its noncontact and nondestructive measurement capabilities, is Flex’s ability to measure directly after application on wet, powder and cured coatings, regardless of the coating material, thickness or color.
Related Content
-
AESF Heritage: The 2002 Hydrogen Embrittlement Seminar No. 1: Hydrogen Embrittlement
This is first of four papers presented during AESF Week 2002 at the Rosen Center in Orlando, Florida, on Jan. 30, 2002, as part of the Hydrogen Embrittlement Seminar. A detailed overview of hydrogen embrittlement beginning with elemental discussions of the scientific phenomenon, occurrence, metallurgical attributes, habits of various metals and alloys and basic solid-state physics.
-
Quantifying Surface Cleanliness With Water Contact Angle, XPS Analysis
Reducing rework and extending bath life through surface analytics.
-
NASF/AESF Foundation Research Project #121: Development of a Sustainability Metrics System and a Technical Solution Method for Sustainable Metal Finishing - 15th Quarterly Report
This NASF-AESF Foundation research project report covers the twelfth quarter of project work (October-December 2023) at Wayne State University in Detroit. In this period, our main effort focused on the development of a set of Digital Twins (DTs) using the Physics-Informed Neural Network (PINN) technology with application on parts rinsing simulation.