Technical Paper collections have been re-named for better clarity and alignment.x

Your Selections

Shivajirao Patil, Anand
Show Only


File Formats

Content Types








   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Engine Exhaust Noise Optimization Using Sobol DoE Sequence and NSGA-II Algorithms

Tafe Motors and Tractors Limited-Ishwinder Pal Singh Sethi, Devendra Nene, Anand Shivajirao Patil
Published 2019-06-05 by SAE International in United States
Exhaust muffler is one of the most important component for overall vehicle noise signature. Optimized design of exhaust system plays a vital role in engine performance as well as auditory comfort. Exhaust orifice noise reduction is often contradicted by increased back pressure and packaging space. The process of arriving at exhaust design, which meets packaging space, back pressure and orifice noise requirements, is often manual and time consuming. Therefore, an automated numerical technique is needed for this multi-objective optimization.In current case study, a tractor exhaust system has been subjected to Design of Experiments (DoE) using Sobol sequencing algorithm and optimized using NSGA-II algorithm. Target design space of the exhaust muffler is identified and modeled considering available packaging constrain. Various exhaust design parameters like; length of internal pipes, location of baffles and perforation etc. are defined as input variables. Performance objective of back pressure and sound pressure level has also been defined in simulations workflow.Exhaust orifice noise has been reduced with significant reduction in overall simulations time. The optimal design is achieved satisfying all constrains leading…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Simulations Based Approach for Powertrain Noise Reduction in Tractors

TAFE Motors & Tractors ltd.-Ishwinder Pal Singh Sethi, Anand Shivajirao Patil
Published 2018-06-13 by SAE International in United States
Noise emanating from tractors is a potential health risk for operators, especially during prolonged working hours. As regulations governing noise radiation are made stringent, a first time right simulations based approach is needed to refine various noise sources of tractors. In present case study, powertrain noise optimization of an open station tractor has been carried out. Various noise sources of engine like; structure, intake, exhaust, timing gears and blower fan have been studied. NVH testing has been conducted for noise source ranking and establishing correlation with baseline simulations. Optimization has been performed on engine and it’s aggregates for achieving overall noise reduction of 3 dB(A) at tractor operator ear level, using; multibody dynamics, CFD simulations, linear acoustics and Rayleigh integral approach.
This content contains downloadable datasets
Annotation ability available