Combined measurement of surface roughness and form deviation 

The TopMap Pro.Surf+ conveniently determines surface roughness and form deviation in a single measurement system – precise, reliable and cost-efficient. The additional roughness sensor and smart data acquisition takes the high-end surface measuring system TopMap Pro.Surf to the next level forming an all-in-one instrument. The resulting Pro.Surf+ is ideal for measuring precision surfaces – in the metrology laboratory, close to production and even right in the production line thanks to a high level of repeatability.

Highlights

  • Quick and precise 3D surface characterization, plus roughness measurement
  • All-in-one system captures all surface details
  • Non-contact measurement principle and traceable measurement results
  • Smart Scanning technology and filter wheel for almost all surfaces
  • Large measurement volume of 230 x 220 x 70 mm³
  • Telecentric lens measures even low-lying points
  • Safe sample handling thanks to a long stand-off distance
  • Automatic component recognition without any need for mechanical mounting
  • Easy-to-use and automatable measurement and analysis software
TopMap Pro.Surf+ measuring form deviation and roughness
TopMap Pro.Surf+ measuring form deviation and roughness
Multi-sensor concept evaluating form parameter with large FOW whitelight-interferometer and roughness profile lines using chromatic confocal sensors
Multi-sensor concept evaluating form parameter with large FOW whitelight-interferometer and roughness profile lines using chromatic confocal sensors
Form and roughness evaluation with large field of view 3D measurements
Form and roughness evaluation with large field of view 3D measurements
TopMap Pro.Surf+ measuring form deviation and roughness
TopMap Pro.Surf+ measuring form deviation and roughness
Multi-sensor concept evaluating form parameter with large FOW whitelight-interferometer and roughness profile lines using chromatic confocal sensors
Multi-sensor concept evaluating form parameter with large FOW whitelight-interferometer and roughness profile lines using chromatic confocal sensors
Form and roughness evaluation with large field of view 3D measurements
Form and roughness evaluation with large field of view 3D measurements

Measure surface roughness and form tolerances

The TopMap Pro.Surf+ offers the customized solution for all surface characterization requirements using parameters such as flatness, step heights, parallelism and roughness. All in all, the spatial resolution, the telecentric lens and the speed cut a very impressive figure indeed.

The combination of a white-light interferometer with chromatic confocal technology means that no details are overlooked. Two million spots are recorded on a large 44 x 33 mm measuring surface in a matter of seconds without any need for stitching – and the surface area can even be extended to 230 x 220 mm. What with a 70 mm vertical measurement range and excellent vertical resolution regardless of the image field sizes, there is plenty of leeway for flexible measuring tasks. The telecentric lens even reaches hard-to-access areas, such as holes.

The fast data acquisition helps to comply with cycle times and the required speed. Integrated machine vision tools such as automatic pattern recognition suberbly speed up the quality assurance process. Several test objects are captured simultaneously in a single pass – without any need for mechanical mounting and with the image field arranged as desired.

Request demo

Combined measurement of form parameters plus surface roughness - TopMap Pro.Surf+

Dear visitor, in order to be able to watch our videos please accept the cookies. All information about the usage of cookies can be found in our privacy policy

In Measurement System Analysis (MSA) the measurement uncertainty (b > a) leads to an increase in the observed process variation as well as in the areas at the tolerance limits in which no reliable decision can be made.
In Measurement System Analysis (MSA) the measurement uncertainty (b > a) leads to an increase in the observed process variation as well as in the areas at the tolerance limits in which no reliable decision can be made.
Based on n measured values x, the capability figures Cg and Cgk are determined providing a ratio between the tolerance T and the variation caused by the measurement equipment (standard deviation s)
Based on n measured values x, the capability figures Cg and Cgk are determined providing a ratio between the tolerance T and the variation caused by the measurement equipment (standard deviation s)
To determine the GRR value in Measurement System Analysis, several measurement objects are measured several times by several operators
To determine the GRR value in Measurement System Analysis, several measurement objects are measured several times by several operators
In Measurement System Analysis (MSA) the measurement uncertainty (b > a) leads to an increase in the observed process variation as well as in the areas at the tolerance limits in which no reliable decision can be made.
In Measurement System Analysis (MSA) the measurement uncertainty (b > a) leads to an increase in the observed process variation as well as in the areas at the tolerance limits in which no reliable decision can be made.
Based on n measured values x, the capability figures Cg and Cgk are determined providing a ratio between the tolerance T and the variation caused by the measurement equipment (standard deviation s)
Based on n measured values x, the capability figures Cg and Cgk are determined providing a ratio between the tolerance T and the variation caused by the measurement equipment (standard deviation s)
To determine the GRR value in Measurement System Analysis, several measurement objects are measured several times by several operators
To determine the GRR value in Measurement System Analysis, several measurement objects are measured several times by several operators

Free guide on how to: Measurement System Analysis

Every measurement - whether with tactile or optical surface profilers - is subject to uncertainty. The measured values obtained are the basis for quality-controlled production and are thus a key component of quality assurance. However, the correctness of any conclusion drawn by a measurement depends not only on the suitability of the parameter, but also on how accurately and how reliably the measured values reflect the real conditions. Only if the measured value can be determined with a sufficiently small uncertainty in relation to the tolerance of the characteristic, the measurement process is suitable for the inspection task. This paper describes approaches and helpful capability figures of Measurement System Analysis (MSA).

Read in the free guide how to deal with measurement uncertainty for your Quality Assurance!

Related areas of applications

Contact your PolyXpert

+49 7243 604-2302
dms-info@polytec.de