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Title: Methods to Measure, Predict and Relate Friction, Wear and Fuel Economy

Abstract

High-fidelity measurements of the coefficient of friction and the parasitic friction power of the power cylinder components have been made for the Isuzu 5.2L 4H on-highway engine. In particular, measurements of the asperity friction coefficient were made with test coupons using Argonne National Lab’s (ANL) reciprocating test rig for the ring-on-liner and skirt-on-liner component pairs. These measurements correlated well with independent measurements made by Electro-Mechanical Associates (EMA). In addition, surface roughness measurements of the Isuzu components were made using white light interferometer (WLI). The asperity friction and surface characterization are key inputs to advanced CAE simulation tools such as RINGPAK and PISDYN which are used to predict the friction power and wear rates of power cylinder components. Finally, motored friction tests were successfully performed to quantify the friction mean effective pressure (FMEP) of the power cylinder components for various oils (High viscosity 15W40, low viscosity 5W20 with friction modifier (FM) and specially blended oil containing consisting of PAO/ZDDP/MoDTC) at 25, 50, and 110°C.

Authors:
 [1];  [2];  [2];  [2]
  1. Ricardo Ltd., Shoreham-by-Sea (United Kingdom)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
Publication Date:
Research Org.:
Ricardo Ltd., Shoreham-by-Sea (United Kingdom); Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V); Isuzu Motors Ltd., Tokyo (Japan); Electro-Mechanical Associates, Inc (EMA), Ann Arbor, MI (United States); ZYNP International, Romulus, MI (United States)
OSTI Identifier:
1427029
Report Number(s):
RD18-001067-1
DOE Contract Number:  
EE0006793
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 33 ADVANCED PROPULSION SYSTEMS; 42 ENGINEERING; friction; wear; CAE; modeling

Citation Formats

Gravante, Steve, Fenske, George, Demas, Nicholas, and Erck, Robert. Methods to Measure, Predict and Relate Friction, Wear and Fuel Economy. United States: N. p., 2018. Web. doi:10.2172/1427029.
Gravante, Steve, Fenske, George, Demas, Nicholas, & Erck, Robert. Methods to Measure, Predict and Relate Friction, Wear and Fuel Economy. United States. doi:10.2172/1427029.
Gravante, Steve, Fenske, George, Demas, Nicholas, and Erck, Robert. Mon . "Methods to Measure, Predict and Relate Friction, Wear and Fuel Economy". United States. doi:10.2172/1427029. https://www.osti.gov/servlets/purl/1427029.
@article{osti_1427029,
title = {Methods to Measure, Predict and Relate Friction, Wear and Fuel Economy},
author = {Gravante, Steve and Fenske, George and Demas, Nicholas and Erck, Robert},
abstractNote = {High-fidelity measurements of the coefficient of friction and the parasitic friction power of the power cylinder components have been made for the Isuzu 5.2L 4H on-highway engine. In particular, measurements of the asperity friction coefficient were made with test coupons using Argonne National Lab’s (ANL) reciprocating test rig for the ring-on-liner and skirt-on-liner component pairs. These measurements correlated well with independent measurements made by Electro-Mechanical Associates (EMA). In addition, surface roughness measurements of the Isuzu components were made using white light interferometer (WLI). The asperity friction and surface characterization are key inputs to advanced CAE simulation tools such as RINGPAK and PISDYN which are used to predict the friction power and wear rates of power cylinder components. Finally, motored friction tests were successfully performed to quantify the friction mean effective pressure (FMEP) of the power cylinder components for various oils (High viscosity 15W40, low viscosity 5W20 with friction modifier (FM) and specially blended oil containing consisting of PAO/ZDDP/MoDTC) at 25, 50, and 110°C.},
doi = {10.2172/1427029},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {3}
}