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Ozone testing chamber for the paint industry

Ozone testing chamber for the paint industry

368005.0 INR/Unit

Product Details:

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Ozone testing chamber for the paint industry Price And Quantity

  • 368005.0 INR/Unit
  • 1 Unit

Ozone testing chamber for the paint industry Trade Information

  • Cash in Advance (CID)
  • 100 Unit Per Month
  • 7 Days
  • All India

Product Description

Standard Features

Item

Specification

Internal dimension

450W*450D*500Hmm (100L)

Temperature range

RT+10~ 60 (suggest to use 402)

Temperature Fluctuation

1

Ozone concentration

50~1000 pphm, adjustable (suggest to use 50pphm)

Ozone concentration deviation

10%

Sample holder rotation

360 degree rotation

Sample holder

2pcs removable sample tray, SUS#304 stainless steel

Temperature controller

Programmable touch screen controller

Ozone concentration analysis

Concentration analysis meter

Ozone generator

High pressure silence discharge type

Protection system

Leakage, short circuit, over temperature, over heat

. Battlefield map of ozone aging of coatings
1. Three-dimensional damage mechanism of ozone on coatings
Chemical attack layer: ozone oxidizes the resin matrix (e.g. alkyd resin double bond breakage) and weakens the coating crosslink density;
Physical penetration layer: ozone diffuses along the pigment/filler interface (e.g. edges of titanium dioxide agglomerates), triggering micro-crack nucleation;
Interfacial peeling layer: substrate-filler interface diffusion of ozone (e.g. edges of titanium dioxide aggregates), leading to micro-crack nucleation 
Interfacial stripping layer: ozone-catalyzed metal oxidation at the substrate-coating interface (e.g., steel substrate corrosion expansion), leading to adhesion failure.
Equipment design mission:
Need to simultaneously simulate the 3D attack path of ozone on coating body-interface-substrate in a single device and quantify the damage contribution of each layer.
II. Multimodal ozone attack system
2.1 Ozone-UV-hygrothermal triple-field coupling
Attack wave spectrum programming:
 
Ozone pulse: 0-1000pphm gradient output (to simulate sudden ozone pollution events in industrial areas);
 
UV resonance: matching the solar spectrum (340nm/420nm) to excite coating photosensitive groups and enhance ozone reactivity (e.g. carbonyl activation of acrylic polyurethanes);
 
Hygrothermal cycling: dew point control technology realizes periodic condensation on the coating surface (ISO 11507 condensation mode compliant).
Energy field synergy:
 
Dynamic coupling of ozone concentration and UV intensity (e.g. 500pphm ozone + 0.8W/m UV = equivalent to 5 years of outdoor exposure in equatorial regions).
2.2 Holographic diagnostic module for coating damage
Molecular fingerprint tracking:
 
In-situ FTIR spectroscopy for real-time monitoring of resin characteristic peak attenuation (e.g. C=C bond 1630cm- peak area change);
 
Raman imaging system to map ozone permeation paths at the pigment/filler interface (spatial resolution 1m).
Mechanical properties co-testing:
 
Nanoindentation instrument to test coating hardness modulus online (0-500mN load to avoid sampling damage);
 
Automatic evaluation of interfacial adhesion by micro-zone gridding instrument (ASTM D3359 Method B).
Apparent intelligent rating:
 
Hyperspectral imaging system (400-2500nm) quantifies color difference E, gloss loss (60 angular accuracy 0.1GU);
 
AI vision to recognize coating crack fractal dimension and blistering density (compliant with ISO 4628-4/5 quantification standard).
III. Coating R&D lifecycle enablement
3.1 Formulation gaming optimization system
Defense matrix construction:
 
Database for simulation of ozone inhibitors (e.g., hindered amine light stabilizers) and resin/pigment compatibility;
 
Inverse extrapolation of optimal addition ratios from ozone attack data (e.g., critical concentration of HALS in acrylic systems is 0.8 wt%).
Failure warning algorithms:
 
Prediction of coating Tg (glass transition temperature) drift trends based on FTIR feature peak displacements;
 
Mathematical modeling of ozone flux - crosslinking degradation - scratch resistance degradation.
3.2 Process Defect Microscopy
Traceability of spraying defects:
 
Reverse identification of process defects such as uneven spraying and insufficient curing (e.g. dry spraying results in areas with porosity >3% becoming ozone penetration channels) through the crack distribution pattern of the coating after ozone aging;
 
Generate a 3D process window of electrostatic spraying voltage - atomization pressure - ozone tolerance.
3.3 Application Scenario Digital Twins

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