Knowledge-Based Approach for Optimized Powertrain Mounting Layout

SAE-PP-00250

04/07/2022

Authors Abstract
Content
Powertrain mount is an important component, which reduces the vibrations generated from powertrain. Vibrations isolation is achieved with help of modal separation by predicting the kinetic energy fraction (KEF and natural frequency (NF at each mode. Softer mounts reduces vibrations transferred from engine to chassis but if stiffness is very low displacement of mount will be high and hence for life of mount will be less. Vibration isolation using powertrain mount is a compromise between displacement of mount, displacement of center of gravity of powertrain, KEF and natural frequency. In this paper KBE application methodology is explained to initially find out the optimum values of mount parameters using permutation and combination of mount stiffness, mount angle, and mount locations. Using these permutations and combinations KEF, natural frequency and displacement of center of powertrain is find out. At different loading conditions of powertrain, results are sort out on basis of highest KEF and lowest displacement of center of gravity of powertrain. Using this approach best mount stiffness, mount angle and mount locations are decided which ultimately gives the good vibration isolation. Integration of calculated results with CAD software’s provides the engine envelope with calculated displacement which is used for packaging of engine compartment. The above all features are verified with test result and suggested modification done to improve NVH with an case studies of two vehicles having 4 cylinders, 2 liters diesel engine and 4 cylinders, 1.4 liters diesel engine. KBE approach find to increase the productivity and accuracy of mount designing parameters during early design stage without CAE software.
Meta TagsDetails
DOI
https://doi.org/10.47953/SAE-PP-00250
Citation
Kulkarni, P., and Sahu, D., "Knowledge-Based Approach for Optimized Powertrain Mounting Layout," SAE MobilityRxiv™ Preprint, submitted April 7, 2022, https://doi.org/10.47953/SAE-PP-00250.
Additional Details
Publisher
Published
Apr 7, 2022
Product Code
SAE-PP-00250
Content Type
Pre-Print Article
Language
English