Topology optimization method applied to the design of rotor and volute of ventricular assist devices based on the viscosity effect (Tesla principle)

• Grant number: 17/27049-0
• Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
• Effective date (Start): May 01, 2018
• Effective date (End): February 28, 2022
• Field of knowledge: Engineering - Mechanical Engineering - Mechanical Engineering Design
• Principal Investigator: Emílio Carlos Nelli Silva
• Grantee: Diego Hayashi Alonso
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 13/24434-0 - Electromagnetic propeller systems for implantable artificial heart and mechanical circulatory support devices, AP.TEM

Abstract

This work is part of the thematic project "Sistemas propulsores eletromagnéticos para coração artificial implantável e dispositivos de suporte circulatório mecânico" ("Electromagnetic propelling systems for implantable artificial heart and mechanical circulatory support devices"), FAPESP number 2013/24434-0. This work is inserted in the research line of Ventricular Assist Devices (VADs), aiming the optimization of the rotor and volute of small scale flow pumps based on the viscosity effect (Tesla pumps). Since VADs are used to temporarily substitute or assist the heart of a patient, the increase in its efficiency in energetic terms and the reduction of hemolysis is of great interest. The increase of its efficiency can be achieved by optimization methods, such as the topology optimization method, which is able to create the shapes of the rotor and the volute. The modelling will be of a non-Newtonian fluid (blood). The optimization problem is structured with a multi-objective function, aiming to indirectly minimize the head loss caused by the energy dissipation (in order to reduce the hemolysis rate), minimize the actuator torque, minimize the vorticity (in order to reduce the blood coagulation) and maximize the hydraulic head of the flow. The material model to be used in the topology optimization is based on the "density method". The implementation will be done in the FEniCS platform, using the adjoint method for calculating the derivatives (dolfin-adjoint) and interior point optimization algorithm (IPOPT). The topology optimization results will be interpreted and fabricated by using additive manufacturing (i.e., 3D printer), being characterized in terms of flow rate and hydraulic head generated by the prototypes. (AU)

Scientific publications

(6)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PICELLI, RENATO; MOSCATELLI, EDUARDO; YAMABE, PAULO VINICIUS MIYUKI; ALONSO, DIEGO HAYASHI; RANJBARZADEH, SHAHIN; DOS SANTOS GIORIA, RAFAEL; MENEGHINI, JULIO ROMANO; SILVA, EMILIO CARLOS NELLI. Topology optimization of turbulent fluid flow via the TOBS method and a geometry trimming procedure. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v. 65, n. 1, JAN 2022. (13/24434-0, 17/27049-0, 19/01685-3, 14/50279-4, 18/05797-8)

ALONSO, DIEGO HAYASHI; NOGUEIRA DE SA, LUIS FERNANDO; ROMERO SAENZ, JUAN SERGIO; NELLI SILVA, EMILIO CARLOS. Topology optimization applied to the design of 2D swirl flow devices. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v. 58, n. 6, p. 2341-2364, DEC 2018. (13/24434-0, 17/27049-0, 14/50279-4, 16/19261-7)

ALONSO, DIEGO HAYASHI; GARCIA RODRIGUEZ, LUIS FERNANDO; SILVA, EMILIO CARLOS NELLI. Flexible framework for fluid topology optimization with OpenFOAM (R) and finite element-based high-level discrete adjoint method (FEniCS/dolfin-adjoint). STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v. 64, n. 6, SEP 2021. (13/24434-0, 14/50279-4, 17/27049-0)

ALONSO, DIEGO HAYASHI; SILVA, EMILIO CARLOS NELLI. Topology optimization for blood flow considering a hemolysis model. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v. 63, n. 5, MAR 2021. (14/50279-4, 17/27049-0, 13/24434-0)

ALONSO, DIEGO HAYASHI; SAENZ, JUAN SERGIO ROMERO; SILVA, EMILIO CARLOS NELLI. Non-newtonian laminar 2D swirl flow design by the topology optimization method. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v. 62, n. 1, MAR 2020. (14/50279-4, 17/27049-0, 13/24434-0)

ALONSO, DIEGO HAYASHI; NOGUEIRA DE SA, LUIS FERNANDO; ROMERO SAENZ, JUAN SERGIO; NELLI SILVA, EMILIO CARLOS. Topology optimization based on a two-dimensional swirl flow model of Tesla-type pump devices. COMPUTERS & MATHEMATICS WITH APPLICATIONS, v. 77, n. 9, p. 2499-2533, MAY 1 2019. (14/50279-4, 17/27049-0, 16/19261-7, 13/24434-0)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ALONSO, Diego Hayashi. Topology optimization for 2D swirl flows with application in the design of a ventricular assist device.. 2022. Doctoral Thesis - Universidade de São Paulo (USP). Escola Politécnica (EP/BC) São Paulo.