My Account Log in

1 option

Prediction of Engine Thermal Behavior during Emission Cycle Using 1D Four Point Mass Model Mahindra and Mahindra Limited

SAE Technical Papers (1906-current) Available online

View online
Format:
Conference/Event
Author/Creator:
Ranjan, Ranjan, author.
Contributor:
Brahmasani, Lakshmaiah
Jha, K. K. (Kaushal Kumar)
Khan, Parvej
Conference Name:
SAE 2016 World Congress and Exhibition (2016-04-12 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Warrendale, PA SAE International 2016
Summary:
AbstractThe traditional approach of engine thermal behavior of engine during startup has largely been dependent on experimental studies and high fidelity simulations like CFD. However, these techniques require considerable effort, cost and time. The low fidelity simulations validated with experimental results are becoming more popular due to their ease in handling the several parameters such as cost effectiveness and quick predictive results. A four point mass model of engine thermal behavior during cold start has been developed to study the engine warm up temperature behavior. The four point mass model considers the lumped mass of coolant, mass of engine directly associated with the coolant, mass of engine oil and mass of engine directly associated with the engine oil. The advantage of four point model is to predict the coolant temperature as well as lubricant temperature during the transient warm up cycle of the engine. The error between predicated temperatures and experimental are within 10%
Notes:
Vendor supplied data
Publisher Number:
2016-01-0197
Access Restriction:
Restricted for use by site license

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account