Beijing Century Kexin Scientific Instrument Co., Ltd
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Free surface 3D surface detection system
Free surface 3D surface detection system
Product details

Product Features:

Three dimensional profile measurement, profile inversion, and profile accuracy quality evaluation of optical component surfaces

Detection object:

Freeform mirrors, curved cover glass, glass panels, lenses, precision molds, wafers and silicon wafers, etc

Targeting industries:

HUDARPrecision Optics and3DProduction enterprises or research and development institutions in the field of curved glass, etc

Technical features:

1Optical non-contact, full field on the surface of free-form mirrors and other optical components3DContour measurement.

2The measurement process is simple,No need for precise adjustment of sample posture,The measurement time for a single item is generally less than 20 Seconds; The detection efficiency is much better than that of coordinate and coordinate systemsUA3PEqual contact 3D inspection equipment, suitable for full inspection of free-form optical surfaces.

3Based onCADComparison and analysis of three-dimensional surface data of models or equations, which can automatically complete surface quality evaluation and output complete information: including complete3DError distribution map, calculation of upper and lower tolerance ratioPVandRMSValue3DDisplay, curvature analysis, slope error, and bump analysis.

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4Complete fitting analysis:xyPolynomialsZernikeLegendreFitting analysis can be used for 3D reverse analysis of free-form surface parts and analysis of injection molding defect processes.

5Rich and diverse2D3DSurface defect analysis function: It can analyze common injection molding defects such as pitting, scratches, knife marks, flow patterns, and collapsed edges. Can provide analysis of dark field defects. Statistical functions can be developed based on user needs.

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6Rich linear dimension analysis functions can analyze overall linear dimensions and defect dimensions, and output reports.

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7. Three dimensional quantitative analysis of single point vehicle knife mark texture error, used for three-dimensional quantitative analysis of rainbow and knife marks on the surface of parts and molds. Measurement results of single point vehicle reflection mirror surface error (compared with laser interferometer)PV=0.45um

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8Complete measurement output function (measurement raw data output, customizable detection report output, and...)LogStatistical file output), the content format of the output report can be customized according to user needs.

technical parameter

Technical parameters:

Measurement module

Technical indicators

1Optical freeform surface 3D surface detection system (standard mode)

Standard module

Features: Large field of view, suitable for measuring most reflector components

Maximum measurement field of view: 400x250mmHorizontal sampling resolution reached0.2mm

Single measurement uncertainty of optical surface data: +/- 2umRange of sample inclination angle+/-15degree

Includes research-oriented detection function and one click detection function

2High resolution measurement mode, mirror 3D detection

Standard module

characteristic:

High lateral resolution, high steepness, suitable for measuring steeper and convex surfaces

Technical parameters of high-resolution measurement mode:

Maximum measurement field of view:300mmx150mmHorizontal sampling can reach0.05mm

Single measurement uncertainty of optical surface type: +/- 2um

Steepness range+/-30Degree

3Structured light measurement mode, diffuse reflection surface 3D detection

Optional, integrated into the module1In the middle

Features: Mirror powder coating measurement, diffuse reflection surface detection, fixture detection

Three dimensional measurement technology parameters for structured light diffuse surface:

Single measurement area:150mmX150mmX50mm(Can be pieced together)

measurement accuracy0.01mm

4Online measurement mode

Customizable according to user needs

 

One click 3D surface measurement and error analysis (generally periodic)40sInside)

Pipeline inspection

Collaborative robotic arms can be developed according to user needs to assist in unmanned automatic detection

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