Abstract

The need for high performances is pushing the complexity of mechanical design at very high levels, especially for turbomachinery components. In this field, structural topology optimization methods together with additive manufacturing techniques for high-resistant alloys are considered very promising tools, but their potentialities have not been deeply investigated yet for critical rotating components like new-generation turbine blades. In this context, this research work proposes a methodology for the design, the optimization, and the additive manufacturing of extremely stressed turbomachinery components like turbine blade rows. The presented procedure pays particular attention to important aspects as fluid–structure interactions (forced response and flutter phenomena) and fatigue behavior of materials, going beyond the standard structural optimization approaches. The new design strategy enables a substantial reduction of the component mass, limiting the maximum stress and improving the vibrational behavior of the system in terms of eigenfrequencies, modal shapes, and fatigue life. Furthermore, the numerical procedure shows robustness and efficiency, making the proposed methodology an appropriate tool for rapid design and prototyping and for reducing the design costs and the typical time to market of this type of mechanical elements. The procedure has been applied to a low-pressure turbine rotor to improve the aeromechanical characteristics while keeping the aerodynamic performance. From the original geometry, mode-shapes, forcing functions (due to rotor/stator interactions), and aerodynamic damping have been numerically evaluated and used as input data for the subsequent topological optimization. Finally, the optimized geometry has been numerically and experimentally verified to confirm the improved aeromechanical design. After the structural topology optimization, the final geometries provided by the procedure have been properly rendered to make them suitable for additive manufacturing. Some prototypes of the new optimized turbine blade have been manufactured from aluminum alloy to be tested mechanically and in terms of fatigue.

References

1.
Lei
,
X.
,
Qi
,
M.
,
Sun
,
H.
, and
Hu
,
L.
,
2017
, “
Investigation on the Shock Control Using Grooved Surface in a Linear Turbine Nozzle
,”
ASME Turbo Expo 2017
,
Charlotte, NC
,
June 26–30
,
ASME Paper GT2017-63967
, p.
V02CT44A021
.
2.
Luo
,
J.
, and
Gea
,
H.
,
2003
, “
Optimal Stiffener Design for Interior Sound Reduction Using a Topology Optimization Based Approach
,”
ASME J. Vib. Acoust.
,
125
(
3
), pp.
267
273
.
3.
Andkjær
,
J.
, and
Sigmund
,
O.
,
2013
, “
Topology Optimized Cloak for Airborne Sound
,”
ASME J. Vib. Acoust.
,
135
(
4
), p.
041011
.
4.
Sedlaczek
,
K.
, and
Eberhard
,
P.
,
2009
, “
Topology Optimization of Large Motion Rigid Body Mechanisms With Nonlinear Kinematics
,”
ASME J. Comput. Nonlinear. Dyn.
,
4
(
2
), p.
021011
.
5.
Zhu
,
Y.
,
Dopico Dopico
,
D.
,
Sandu
,
C.
, and
Sandu
,
A.
,
2014
, “
Dynamic Response Optimization of Complex Multibody Systems in a Penalty Formulation Using Adjoint Sensitivity
,”
ASME J. Comput. Nonlinear. Dyn.
,
10
(
3
), p.
031009
.
6.
Yuan
,
H.
,
Guzina
,
B.
,
Chen
,
S.
,
Kinnick
,
R.
, and
Fatemi
,
M.
,
2013
, “
Application of Topological Sensitivity Toward Soft-Tissue Characterization From Vibroacoustography Measurements
,”
ASME J. Comput. Nonlinear. Dyn.
,
8
(
3
), p.
034503
.
7.
Pini
,
M.
,
Persico
,
G.
,
Pasquale
,
D.
, and
Rebay
,
S.
,
2014
, “
Adjoint Method for Shape Optimization in Real-Gas Flow Applications
,”
ASME J. Eng. Gas. Turbines. Power.
,
137
(
3
), p.
032604
.
8.
Khoram-Nejad
,
E.
, and
Fatahi
,
L.
,
2018
, “
Topology Optimization of the Combustion Chamber of a Model Airplane
,”
International Conference on Mechanics of Advanced Materials and Equipment
,
Ahvaz, Iran
,
Jan. 31
.
9.
Kirsch
,
U.
,
1989
, “
Optimal Topologies of Truss Structures
,”
Comput. Methods. Appl. Mech. Eng.
,
72
(
1
), pp.
15
28
.
10.
Bendsoe
,
M. P.
, and
Sigmund
,
O.
,
2004
,
Topology Optimization: Theory, Methods and Applications
,
Springer
,
Berlin
.
11.
Wang
,
M. Y.
,
Wang
,
X.
, and
Guo
,
D.
,
2003
, “
A Level Set Method for Structural Topology Optimization
,”
Comput. Methods. Appl. Mech. Eng.
,
192
(
1
), pp.
227
246
.
12.
Shu
,
L.
,
Wang
,
M. Y.
,
Fang
,
Z.
,
Ma
,
Z.
, and
Wei
,
P.
,
2011
, “
Level Set Based Structural Topology Optimization for Minimizing Frequency Response
,”
J. Sound. Vib.
,
330
(
24
), pp.
5820
5834
.
13.
Arnone
,
A.
,
1994
, “
Viscous Analysis of Three-Dimensional Rotor Flow Using a Multigrid Method
,”
ASME J. Turbomach.
,
116
(
3
), pp.
435
445
.
14.
Pinelli
,
L.
,
Marconcini
,
M.
,
Pacciani
,
R.
,
Gaetani
,
P.
, and
Persico
,
G.
,
2021
, “
Computational and Experimental Study of the Unsteady Convection of Entropy Waves Within a High-Pressure Turbine Stage
,”
ASME J. Turbomach.
,
143
(
9
), p.
091011
.
15.
Vanti
,
F.
,
Agnolucci
,
A.
,
Pinelli
,
L.
, and
Arnone
,
S. A.
,
2019
, “
An Integrated Numerical Procedure for Flutter and Forced Response Assessment of Turbomachinery Blade-Rows
,”
13th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics
,
Lausanne, Switzerland
,
Apr. 8–12
.
16.
Pinelli
,
L.
,
Lori
,
F.
,
Marconcini
,
M.
,
Pacciani
,
R.
, and
Arnone
,
A.
,
2021
, “
Validation of a Modal Work Approach for Forced Response Analysis of Bladed Disks
,”
Appl. Sci.
,
11
(
12
), p.
5437
.
17.
Pinelli
,
L.
,
Poli
,
F.
,
Arnone
,
A.
,
Guerin
,
S.
,
Torzo
,
D.
,
Favre
,
C.
,
Gaetani
,
P.
, and
Persico
,
G.
,
2015
, “
On the Numerical Evaluation of Tone Noise Emissions Generated by a Turbine Stage: An In-Depth Comparison Among Different Computational Methods
,”
ASME Turbo Expo, ASME Paper No. GT2015-42376
.
18.
Boccini
,
E.
,
Meli
,
E.
,
Rindi
,
A.
,
Pinelli
,
L.
,
Peruzzi
,
L.
, and
Arnone
,
A.
,
2018
, “
Towards Structural Topology Optimization of Rotor Blisks
,”
ASME Turbo Expo 2018
,
Oslo, Norway
,
June 11–15
,
ASME Paper GT2018-76482
, p.
V07AT30A008
.
19.
Vanti
,
F.
,
Pinelli
,
L.
,
Arnone
,
A.
,
Schneider
,
A.
,
Astrua
,
P.
, and
Puppo
,
E.
,
2018
, “
Aeroelastic Optimization of an Industrial Compressor Rotor Blade Geometry
,”
ASME Turbo Expo 2018
,
Oslo, Norway
,
June 11–15
,
ASME Paper GT2018-76474
, p.
V02DT46A016
.
20.
Pacciani
,
R.
,
Marconcini
,
M.
, and
Arnone
,
A.
,
2019
, “
Comparison of the AUSM+-Up and Other Advection Schemes for Turbomachinery Applications
,”
Shock Waves
,
29
(
1
), pp.
705–716
.
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