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Analysis of Soot Effects on Oil Performance and Engine Component Wear

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This study evaluates the impact of soot levels and EGR rates on oil performance metrics and engine wear characteristics over a series of tests. Average soot levels ranged from 4.64% to 6.52%, with a mean of 5.47%. The analysis includes the correlations between soot, lead corrosion, ring weight loss, cylinder liner wear, and oil consumption. The results highlight how increased soot content leads to higher Pb corrosion rates, greater ring weight loss, and elevated oil consumption. Models using various lab data display differing levels of prediction accuracy and the need for soot corrections in assessments.

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Analysis of Soot Effects on Oil Performance and Engine Component Wear

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  1. MACK T-10 Matrix Analysis August 8, 2001

  2. Mack T-10 Tests • Soot and EGR rate evaluations • Soot • Average soot was calculated from 75 to 300 hours • The range was 4.64 to 6.52 % • The average of the 28 tests was 5.47 % • A correction based on the average was defined as: • Soot Var = Avg Soot - 5.47 • A soot correction was applied to Log(Pb), TRWL, CLW and Oil Consumption. • CO2 Rate • An adjustment for CO2 Rate (EGR) was attempted but these values are highly correlated with the Labs

  3. Ln (Delta Lead) • Model uses Labs, Stands, Technology, Base oils and Tech - Base oil interaction • TF model • RMSE 0.29 (13 df) R2 = 0.91 • Soot model • RMSE 0.29 (18 df) R2 = 0.88 • Increased soot increases Pb corrosion, 6.5% soot average will increase a 30 ppm Pb to 61. • The model includes: Soot, Labs, Tech, Stands, Base oils and Tech-Base Oil interactions. • One Oil has high Residuals • TF model with 27 points • RMSE 0.20 (16 df) R2 = 0.93

  4. Top Ring Weight Loss • Model uses Labs, Technologies, Base oils and Tech - Base oil Interaction • TF model • RMSE 28 (15 df) R2 = 0.49 • Soot Model • RMSE 23 (20 df) R2 = 0.54 • Increased Soot increases Ring Weight Loss • An average soot of 6.5% increases the average weight loss by 33 mg • The model includes Soot, Labs, Stands and Tech - Base oil interactions. • Several points have high residuals

  5. Top Ring Weight LossOil A • Soot Correction: • RWL = 132.56 + 39.38(Avg Soot - 5.47) • RMSE = 18.6 (df = 8) R2 = 0.43 • With lab and stand corrections: • RMSE = 6.7 (df = 5) R2 = 0.95

  6. Cylinder Liner Wear • Model uses Labs, Technologies, Base oils and Tech - Base oil Interaction • TF model • RMSE 4.4 (15 df) R2 = 0.69 • Soot Model • RMSE 4.0 (24 df) R2 = 0.64 • Increased Soot increases liner wear. • A 6.5 % soot test will have 5.7 um higher wear. • The model includes Soot, Labs, Stands, Base oils and Tech-Base oil interactions. • One high residual point

  7. Cylinder Liner WearOil A • Soot Correction: • CLW = 34.10 + 7.5(Avg Soot - 5.47) • RMSE = 3.54 (df = 8) R2 = 0.43 • With lab correction: • RMSE = 3.20 (df = 7) R2 = 0.59

  8. Oil Consumption • Model Uses Labs, Technologies, Base oils and Tech - Base oil interaction • TF Model • RMSE 8.6 (15 df) R2 = 0.56 • Soot Model • RMSE 7.3 (21 df) R2 = 0.56 • Increased soot increases oil consumption • A soot level of 6.5% will increase oil consumption 6.8 g/h • The model includes Soot, Labs and Stands • Several large residuals

  9. Summary • The addition of a soot correction • Does not improve prediction for the Ln(Pb) function • Provides reduced error of prediction for Ring Weight Loss but correlation is still poor. • Provides some reduced error of prediction for liner wear with some correlation • Oil consumption is not well correlated but soot level does provide a reduced prediction error

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