Exhaust Acoustic Optimization for Improved Fuel Efficiency using GT-Power Integrated with mode FRONTIER

Author
Mylaudy Dr. S. Rajadurai, K.J.Rajakumar
Keywords
Exhaust Noise Level; Fuel Efficiency; Carbon dioxide; Backpressure;, Muffler; Design of Experiment; Optimization; Order Noises; Scatter Matrix; Bubble Chart
Abstract
Automotive system assemblies are mandated to have increased safety, reliability, emission/noise performance, comfort and value. Carbon dioxide regulations in CAFÉ norms from 130 g/km in 2017 to 113 g/km in 2022 change in base reference is very huge in terms of fuel efficiency improvement from 15% to 30% in 2022. Acoustic optimization in exhaust system with reduced back pressure needs a systematic development process. This paper establishes a systematic and sequential optimization process to improve engine performance with high fuel efficiency by tracing out the sensitive parameters in muffler that cause severity in achieving non-complimentary and imperative acoustic targets. 1D simulation tool GT-Power integrated with modeFRONTIER is used to execute several DOE (Design of Experiment) to optimize the muffler internals. 1.2L, 3 cylinder gasoline engine performances were analyzed and plotted in different pictorial analysis charts. As the result of statistic and optimized analysis 4 dB(A) noise reduction at 1500 rpm in 3rd order noise level with 14% reduced back pressure was achieved. Adopting the optimization technology reduces development stage by minimizing the number of iterations and it reduces the development cost.
References
[1] [1] Roy, Mohammad UzzalHossainJoardder and Md. ShazibUddin, (2010), “Effect of Engine Backpressure on the Performance and Emissions of a CI Engine” The 7th Jordanian International Mechanical Engineering Conference (JIMEC’7) 27 – 29 September 2010, Amman – Jordan.
[2] HONG Han-chi, HUANG Hong-wu, BAI Yi-jie, (2012) “Optimization of Intake and Exhaust System for FSAE Car Based on Orthogonal Array Testing”, International Journal of Engineering and Technology Volume 2 No. 3, March, 2012.
[3] Hanjun Dai, Elias B. Khalil , Yuyu Zhang, Bistra Dilkina†, Le Song “Learning Combinatorial Optimization Algorithms over Graphs”.
[4] Rajadurai.S, Naveen.S (2015) ” Muffler Optimization for Increased Fuel Efficiency Iterations Using Taguchi Orthogonal Array for Controlling CO2”, IJISET – International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 3.

Received : 20 December 2019
Accepted : 11 July 2020
Published : 26 July 2020
DOI: 10.30726/esij/v7.i3.2020.73016

Download “GT-Power-Integrated-with-modeFRONTIER.pdf” GT-Power-Integrated-with-modeFRONTIER.pdf – Downloaded 4 times – 709 KB