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Particle AC

Fully Automated Automotive Cleanliness Inspection

Compliant with VDA 19.1 and ISO 16232 standards

Traditional cleanliness analysis methods (gravimetric and optical microscopy) can only provide gross weight or shape information about large dust particles and debris on cleaned components, without identifying the exact type of contaminants (e.g., hard particles such as SiO₂ and Al₂O₃), making comprehensive particle source analysis impossible. The fully automated automotive cleanliness analysis system Particle AC addresses these limitations.

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7x24h Fully automated analysis
Automatic detection Particulate hardness
Compliant with VDA19 and ISO 16232 standard
Fully Automated Automotive Cleanliness Inspection
Product Overview Related Videos Typical Applications Customer Stories Product Parameters Download Center Related Products

PRODUCT OVERVIEW

Product Overview

Comprehensive inspection and evaluation of contamination sources in automotive manufacturing, with focus on hardness and composition of hard particles.

Applicable Targets

  • Engine and powertrain components
  • Transmission and drivetrain assemblies
  • New energy vehicle electric drive components
  • Precision automotive parts

Typical Applications

  • Component cleanliness inspection
  • Particle count and size analysis
  • Contamination source tracing
  • Cleaning effectiveness verification
  • Supplier quality management

Technical Features

  • SEM+EDS integrated analysis
  • Automated particle identification and classification
  • Compliant with VDA 19.1 / ISO 16232
  • High-throughput intelligent inspection

全自动一键分析

7×24h 无人值守

Long-life, stable CeB6 filament

No need for frequent replacement

Hardware-software integration

Smooth operation and unified after-sales service.

Comes standard with conventional electron microscopy failure analysis capabilities.

Failure analysis of conventional metal and non-metal components; energy spectrum point, line, and area analysis.

Ensuring Report Compliance

Capable of automatically generating reports on composition, dimensions, distribution, and pass/fail status.

Open and customizable

The classification rule software features a fully open interface, allowing for custom editing based on particle composition and hardness data.

RELATED VIDEO

Related Videos

TYPICAL APPLICATION

Typical Applications

Automated identification and classification of hard contaminant particles

Automated identification and classification of hard contaminant particles

Contaminant particle detection

Contaminant particle detection

Particle morphology analysis

Particle morphology analysis

Simultaneous acquisition of morphology and composition information

Simultaneous acquisition of morphology and composition information

Particle AC

CUSTOMER STORY

Customer Stories

To meet the stringent technical cleanliness requirements for electric drive system components in new energy vehicles, HASCO Sanden adopted the Phenom Particle AC fully automated cleanliness analysis solution for particle contamination inspection and quality control during production. Using SEM+EDS integrated analysis technology, Particle AC can automatically perform particle location, size statistics, morphology observation, and elemental composition identification — enabling precise analysis of metal wear debris, machining residues, and other contaminant particles. This helps HASCO Sanden rapidly identify contamination types, trace sources, and optimize manufacturing processes.

Model:Particle AC

PRODUCT PARAMETER

Product Parameters

General Specifications
Product Full Name Particle AC Automotive Cleanliness
Optical Magnification 3-16 X
Electron Optical Magnification 200,000 X
Resolution Better than 8 nm
Electron Gun >3,000-hour CeB6 filament
Optical Navigation Camera Color
Accelerating Voltage Basic mode: 2kV, 5kV, 10kV, 15kV, 20kV
Advanced mode: 4.8 KV - 20.5 KV continuously adjustable
Vacuum Mode Low - Medium - High three modes
Detector Backscatter detector
Secondary electron detector (optional)
EDS detector
Fully Automated Function Fully automated automotive cleanliness analysis

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