Turbochargers reduce fuel consumption and CO2 emissions from heavy-duty internal combustion engines by enabling downsizing and downspeeding through greater power density. This requires greater pressure ratios and thus air systems with multiple stages and interconnecting ducting, all subject to tight packaging constraints. This paper considers the aerodynamic optimization of the exhaust side of a two-stage air system for a Caterpillar 4.4 l heavy-duty diesel engine, focusing on the high pressure turbine (HPT) wheel and interstage duct (ISD). Using current production designs as a baseline, a genetic algorithm (GA)-based aerodynamic optimization process was carried out separately for the wheel and duct components to evaluate seven key operating points. While efficiency was a clear choice of cost function for turbine wheel optimization, different objectives were explored for ISD optimization to assess their impact. Optimized designs are influenced by the engine operating point, so each design was evaluated at every other engine operating point, to determine which should be carried forward. Prototypes of the best compromise high pressure turbine wheel and ISD designs were manufactured and tested against the baseline to validate computational fluid dynamics (CFD) predictions. The best performing high pressure turbine design was predicted to show an efficiency improvement of 2.15% points, for on-design operation. Meanwhile, the optimized ISD contributed a 0.2% and 0.5% point efficiency increase for the HPT and low pressure turbine (LPT), respectively.

References

1.
Automotive Council UK
,
2013
, “
Commercial and Off-Road Technology Roadmap
,” The Society of Motor Manufacturers and Traders Limited, London, accessed Oct. 25, 2017, https://www.automotivecouncil.co.uk/wp-content/uploads/sites/13/2013/09/CV.jpg
2.
EC, 2013, “
Commission Regulation (EU) No 397/2013 of 30 April 2013 Amending Regulation (EC) No 443/2009 of the European Parliament and of the Council as Regards the Monitoring of CO2 Emissions From New Passenger Cars
,” Off. J. Eur. Union, Series L 120, 56, pp. 4–8.
3.
The White House, 2014, “
FACT SHEET: Opportunity For All: Improving the Fuel Efficiency of American Trucks - Bolstering Energy Security, Cutting Carbon Pollution, Saving Money and Supporting Manufacturing Innovation
,” The White House, Office of the Press Secretary, Washington, DC, accessed Feb. 19, 2017, https://obamawhitehouse.archives.gov/the-press-office/2014/02/18/fact-sheet-opportunity-all-improving-fuel-efficiency-american-trucks-bol
4.
Codan
,
E.
,
Mathey
,
C.
, and
Rettig
,
A.
,
2010
, “
2-Stage Turbocharging—Flexibility for Engine Optimisation
,” Conseil International des Machines a Combustion (CMIAC), Bergen, Norway, June 14–17, Paper No.
293
.https://library.e.abb.com/public/1b04b0465568a75b852578110051ffc0/2-Stage%20Turbocharging.pdf
5.
Nitta
,
J.
,
Minato
,
A.
, and
Shimazaki
,
N.
,
2011
, “
Performance Evaluation of Three-Stage Turbocharging System for Heavy-Duty Diesel Engine
,”
SAE
Paper No. 2011-01-0374.
6.
Nefischer
,
P.
,
Dworschak
,
J.
,
Raschl
,
P.
,
Staub
,
P.
, and
Rechberger
,
E.
,
2016
, “
Development of Charging System and Thermodynamics of the New BMW Six-Cylinder Top End Engine
,”
THIESEL Conference on Thermo and Fluid Dynamic Processes in Direct Injection Engines
, Valencia, Spain, Sept. 13–16, pp.
1
19
.
7.
Caterpillar Inc.,
2013
, “
C4.4 ACERT™ Industrial Engine Tier 4 Final/Stage IV Technology
,” Caterpillar Inc., Peoria, IL, accessed Feb. 19, 2017, http://s7d2.scene7.com/is/content/Caterpillar/LEHH0551
8.
Caterpillar Inc.,
2013
, “
CAT C4.4 ACERT™ Diesel Engine
,” Caterpillar Inc., Peoria, IL, accessed Feb. 19, 2017, http://www.cat.com/en_GB/products/new/power-systems/industrial/industrial-diesel-engines-highly-regulated/18377729.html
9.
Watson
,
N.
, and
Janota
,
M. S.
,
1982
,
Turbocharging the Internal Combustion Engine
, 1st ed.,
Macmillan Press
,
London
.
10.
Davison
,
J.
,
2012
, “
Parametric Optimization of an Exhaust Manifold Using Isight, STAR-CCM+ and CATIA V5
,”
SIMULIA Community Conference
, Providence, RI, May 15–17, pp.
1
13
.http://imechanica.org/node/13202
11.
Stephan
,
M.
, Häußler, P., and Böhm. M.,
2009
, “
CFD Topology Optimization of Automotive Components
,”
Fourth European Automotive Simulation Conference
(
EASC
), Munich, Germany, July 6–7.http://www.ansys.com/-/media/ansys/corporate/resourcelibrary/conference-paper/cfd-topology-automotive.pdf
12.
Kalpakli
,
A.
,
Örlü
,
R.
,
Tillmark
,
N.
, and
Alfredsson
,
P. H.
,
2012
, “
Experimental Investigation on the Effect of Pulsations on Exhaust Manifold-Related Flows Aiming at Improved Efficiency
,”
Tenth International Conference on Turbochargers and Turbocharging
, London, May 15–16, pp.
377
387
.http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A498748&dswid=-7705
13.
Goldberg
,
D.
,
1989
,
Genetic Algorithms in Search, Optimization and Machine Learning
,
Addison-Wesley Professional
,
Reading, MA
.
14.
Khairuddin
,
U.
,
Costall
,
A. W.
, and
Martinez-Botas
,
R. F.
,
2015
, “
Influence of Geometrical Parameters on Aerodynamic Optimization of a Mixed-Flow Turbocharger Turbine
,”
ASME
Paper No. GT2015-42053.
15.
Szymko
,
S.
,
Martinez-Botas
,
R. F.
, and
Pullen
,
K. R.
,
2005
, “
Experimental Evaluation of Turbocharger Turbine Performance Under Pulsating Flow Conditions
,”
ASME
Paper No. GT2005-68878.
You do not currently have access to this content.