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<p>This study presents the Blow-By Gas Aerosol–Dynamic Light Scattering (BGA-DLS) method as a fast, cost-effective, and practical alternative for measuring the particle size distributions (PSDs) of blow-by gases, eliminating the need for cascade impactors, optical particle counters (OPCs), or direct engine testing. The method improves submicron precision, resists particle agglomeration (validated via PDI), and simplifies procedures by removing test benches, vacuum systems, and manual weighing, while reducing exposure to harmful PM₂.₅ oil aerosols. The approach involves generating oil aerosols, dispersing them in a custom emulsion, and analyzing them using Dynamic Light Scattering (DLS). Stability was optimized via zeta potential measurements, with 96% ethanol achieving over + 10 mV and ensuring reproducibility. Temperature and viscosity were identified as dominant factors affecting particle size, while injection pressure had minimal impact due to choked flow. A rise from 60&#xa0;°C to 120&#xa0;°C reduced particle size by ~ 2.5&#xa0;μm (~ 50%), replicating engine warm-up behavior. Sample size calculations were conducted with a 95% confidence level using MINITAB. To emulate natural polydispersity, a compound oil (Type 3) with a PDI of 1.123 was developed. Validation against a cascade impactor and LAP340 Topas OPC confirmed accuracy. Overall, BGA-DLS offers a stable, scalable solution with a 90% reduction in measurement time and greatly enhanced throughput.</p>

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Optimizing Aerosol Measurement Techniques for Blow-By Gas Particle Size Analysis

  • 期刊论文

  • 发表日期：

    2025年7月22日

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  • Hooman Dorostkar,
  • Mohammad Hassan Kayhani,
  • Seyed Vahid Hosseini

摘要

This study presents the Blow-By Gas Aerosol–Dynamic Light Scattering (BGA-DLS) method as a fast, cost-effective, and practical alternative for measuring the particle size distributions (PSDs) of blow-by gases, eliminating the need for cascade impactors, optical particle counters (OPCs), or direct engine testing. The method improves submicron precision, resists particle agglomeration (validated via PDI), and simplifies procedures by removing test benches, vacuum systems, and manual weighing, while reducing exposure to harmful PM₂.₅ oil aerosols. The approach involves generating oil aerosols, dispersing them in a custom emulsion, and analyzing them using Dynamic Light Scattering (DLS). Stability was optimized via zeta potential measurements, with 96% ethanol achieving over + 10 mV and ensuring reproducibility. Temperature and viscosity were identified as dominant factors affecting particle size, while injection pressure had minimal impact due to choked flow. A rise from 60 °C to 120 °C reduced particle size by ~ 2.5 μm (~ 50%), replicating engine warm-up behavior. Sample size calculations were conducted with a 95% confidence level using MINITAB. To emulate natural polydispersity, a compound oil (Type 3) with a PDI of 1.123 was developed. Validation against a cascade impactor and LAP340 Topas OPC confirmed accuracy. Overall, BGA-DLS offers a stable, scalable solution with a 90% reduction in measurement time and greatly enhanced throughput.