EGR Cooler Fouling Reduction: A New Method for Assessment in Early Engine Development Phase
- Delivery
- Provide download link
- Format
- Price
- Non-members (tax incl.):¥6,600 Members (tax incl.):¥5,280
- Paper/Info type
- SAE Paper
No.2022-01-0589
- Pages
- 1-10(Total 10 p)
- Date of publication
- Mar 2022
- Publisher
- SAE International
- Language
- English
- Event
- WCX SAE World Congress Experience 2022
Detailed Information
Author(E) | 1) Stephan Liebsch, 2) Mirko Leesch, 3) Philipp Zumpf, 4) Jörg Jacob, 5) Ronny Mehnert, 6) Peter Martin, 7) Max Kneisel |
---|---|
Affiliation(E) | 1) IAV GmbH, 2) IAV GmbH, 3) IAV GmbH, 4) IAV GmbH, 5) IAV GmbH, 6) IAV GmbH, 7) IAV GmbH |
Abstract(E) | High pressure EGR provides NOx emission reduction even at low exhaust temperatures. To maintain a safe EGR system operation over a required lifetime, the EGR cooler fouling must not exceed an allowable level, even if the engine is operated under worst-case conditions. A reliable fouling simulation model represents a valuable tool in the engine development process, which validates operating and calibration strategies regarding fouling tendency, helping to avoid fouling issues in a late development phase close to series production. Long-chained hydrocarbons in the exhaust gas essentially impact the fouling layer formation. Therefore, a simulation model requires reliable input data especially regarding mass flow of long-chained hydrocarbons transported into the cooler. There is a huge number of different hydrocarbon species in the exhaust gas, but their individual concentration typically is very low, close to the detection limit of standard in-situ measurement equipment like GC-MS. Therefore, a new measurement and analysis approach has been developed, where the exhaust gas is guided to a metal foam collector, in which HC`s are deposited. The probe is then analyzed in a suited thermogravimetrical system (TGA) in nitrogen atmosphere, temperature range 25°C to 650°C. Analyzing the TGA curve, HC concentration data for 6 different boiling temperature ranges are obtained, provided to an adapted 1-d fouling simulation model. Using these data along with further input parameters like cooler geometry, gas temperature, pressure, flow, particle size distribution and coolant temperature, the simulation model has proven as a suitable tool to predict the fouling and identify engine settings for fouling reduction. |