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Dive into the research topics where Jun Sergio Ono Fonseca is active.

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Featured researches published by Jun Sergio Ono Fonseca.


Journal of The Brazilian Society of Mechanical Sciences and Engineering | 2003

Complexity Control in the Topology Optimization of Continuum Structures

Eduardo Cardoso; Jun Sergio Ono Fonseca

A general mesh independent filter as a mean to control the complexity of topology optimization designed structures is discussed. A new mesh-independent filter, applied over the move-limits of the sequential linear programming is proposed, and it is shown that its use alleviates common problems in the continuum topology optimization, like checkerboarding, mesh dependency, as well as effects associated to non-structured meshes, like numerical anisotropy. The structural optimization formulation adopted in this work is the minimization of a penalized function of the volume, with constraints on the compliance of each load case. Aspects of this penalized objective function are discussed, and several numerical examples are shown.


Mathematical Problems in Engineering | 2010

Simultaneous Piezoelectric Actuator and Sensor Placement Optimization and Control Design of Manipulators with Flexible Links Using SDRE Method

Alexandre Molter; Otávio A. A. da Silveira; Jun Sergio Ono Fonseca; Valdecir Bottega

This paper presents a control design for flexible manipulators using piezoelectric actuators bonded on nonprismatic links. The dynamic model of the manipulator is obtained in a closed form through the Lagrange equations. Each link is discretized using finite element modal formulation based on Euler-Bernoulli beam theory. The control uses the motor torques and piezoelectric actuators for controlling vibrations. An optimization problem with genetic algorithm (GA) is formulated for the location and size of the piezoelectric actuator and sensor on the links. The natural frequencies and mode shapes are computed by the finite element method, and the irregular beam geometry is approximated by piecewise prismatic elements. The State-Dependent Riccati Equation (SDRE) technique is used to derive a suboptimal controller for a robot control problem. A state-dependent equation is solved at each new point obtained for the variables from the problem, along the trajectory to obtain a nonlinear feedback controller. Numerical tests verify the efficiency of the proposed optimization and control design.


Journal of The Brazilian Society of Mechanical Sciences and Engineering | 2009

Simultaneous control and piezoelectric insert optimization for manipulators with flexible link

Valdecir Bottega; Rejane Pergher; Jun Sergio Ono Fonseca

This work proposes a tracking control model for a flexible link robotic manipulator using simultaneously motor torques and piezoelectric actuators. The dynamic model of manipulator is obtained in a closed form through the Lagrangian approach. The control uses the motor torques for the tracking control of the joints and also to reduce the low frequency vibration induced in the manipulator links. The stability of this control is guaranteed by the Lyapunov stability theory. Piezoelectric actuators and sensors are added for controlling the high frequency vibrations beyond range of motor torque control. Additionally, this work introduces a formulation for simultaneous control and piezoelectric inserts geometry optimization through the maximization of the control action dissipated energy. Simulations on Matlab/Simulink are used to verify the efficiency of the control model. Keywords : piezoelectric actuators, flexible links, tracking control, optimization, manipulators


Latin American Journal of Solids and Structures | 2015

OPTIMAL PLACEMENT OF PIEZOELECTRIC MACRO FIBER COMPOSITE PATCHES ON COMPOSITE PLATES FOR VIBRATION SUPPRESSION

Eduardo Padoin; Jun Sergio Ono Fonseca; Eduardo André Perondi; Odair Menuzzi

This work presents a new methodology for the parametric optimization of piezoelectric actuators installed in laminated composite structures, with the objective of controlling structural vibrations. Problem formulation is the optimum location of a Macro Fiber Composite (MFC) actuator patch by means the maximization of the controllability index. The control strategy is based on a Linear Quadratic Regulator (LQR) approach. For the structural analysis, the modeling of the interaction between the MFC and the structure is made taking into account the active material as one of the orthotropic laminate shell layers. The actuation itself is modeled as an initial strain arising from the application of an electric potential which deforms the rest of the structure. Thereby, modeling the electric field and the electromechanical coupling within the actuator is avoided because these effects are considered analytically. Numerical simulations show that the structural model presents good agreement with numerical and experimental results. Furthermore, the results show that optimizing the location of the actuator in the structure helps the control algorithm to reduce induced structural vibration.


Mathematical Problems in Engineering | 2009

Vibration Control of Manipulators with Flexible Nonprismatic Links Using Piezoelectric Actuators and Sensors

Valdecir Bottega; Alexandre Molter; Jun Sergio Ono Fonseca; Rejane Pergher

This work presents a tracking control model for a flexible nonprismatic link robotic manipulator using simultaneously motor torques and piezoelectric actuators. The dynamic model of the flexible manipulator is obtained in a closed form through the Lagrange equations. The control uses the motor torques for the joints tracking control and also to reduce the low-frequency vibration induced in the manipulator links. The stability of this control is guaranteed by the Lyapunov stability theory. Piezoelectric actuators and sensors are added for controlling vibrations with frequencies beyond the reach of motor torque control. The naturals frequencies are calculated by the finite element method, and the approximated eigenfunctions are interpolated by polynomials. Three eigenfunctions are used for the dynamics of the arm, while only two are used for the control. Numerical experiments on Matlab/Simulink are used to verify the efficiency of the control model.


Head & Face Medicine | 2007

Applied mechanics of the Puricelli osteotomy: a linear elastic analysis with the finite element method

Edela Puricelli; Jun Sergio Ono Fonseca; Marcel Fasolo de Paris; Hervandil Morosini Sant'Anna

BackgroundSurgical orthopedic treatment of the mandible depends on the development of techniques resulting in adequate healing processes. In a new technical and conceptual alternative recently introduced by Puricelli, osteotomy is performed in a more distal region, next to the mental foramen. The method results in an increased area of bone contact, resulting in larger sliding rates among bone segments. This work aimed to investigate the mechanical stability of the Puricelli osteotomy design.MethodsLaboratory tests complied with an Applied Mechanics protocol, in which results from the Control group (without osteotomy) were compared with those from Test I (Obwegeser-Dal Pont osteotomy) and Test II (Puricelli osteotomy) groups. Mandible edentulous prototypes were scanned using computerized tomography, and digitalized images were used to build voxel-based finite element models. A new code was developed for solving the voxel-based finite elements equations, using a reconditioned conjugate gradients iterative solver. The Magnitude of Displacement and von Mises equivalent stress fields were compared among the three groups.ResultsIn Test Group I, maximum stress was seen in the region of the rigid internal fixation plate, with value greater than those of Test II and Control groups. In Test Group II, maximum stress was in the same region as in Control group, but was lower. The results of this comparative study using the Finite Element Analysis suggest that Puricelli osteotomy presents better mechanical stability than the original Obwegeser-Dal Pont technique. The increased area of the proximal segment and consequent decrease of the size of lever arm applied to the mandible in the modified technique yielded lower stress values, and consequently greater stability of the bone segments.ConclusionThis work showed that Puricelli osteotomy of the mandible results in greater mechanical stability when compared to the original technique introduced by Obwegeser-Dal Pont. The increased area of the proximal segment and consequent decrease of the size of lever arm applied to the mandible in the modified technique yield lower stress values and displacements, and consequently greater stability of the bone segments.


Archive | 2006

Topology Optimization of Piezoelectric Actuators Considering Geometric Nonlinearities

Eduardo Lenz Cardoso; Jun Sergio Ono Fonseca

This work shows a methodology for the optimum design of piezelectric actuators undergoing large deformations. An equilibrium formulation for the finite movement of a piezoelectric body is introduced, as well as its finite element discretization. The solution of the nonlinear finite element equations is acomplishied through a new coupled-field arc-length algorithm. The optimization consists in the maximization of the output displacements subject to volume and displacement constraints. Sensitivities are derived with respect to mechanical displacements and electric potentials. The Generalized Method of Moving Asymptotes (GMMA) is used for the solution of the optimization problem. The results obtained with the proposed formulation are shown and the influence of the geometric nonlinearities is discussed.


Structural and Multidisciplinary Optimization | 2012

Aeroelastic tailoring using fiber orientation and topology optimization

Daniel M. De Leon; C. E. Souza; Jun Sergio Ono Fonseca; R. G. Silva


Structural and Multidisciplinary Optimization | 2015

Stress-constrained topology optimization for compliant mechanism design

Daniel M. De Leon; Joe Alexandersen; Jun Sergio Ono Fonseca; Ole Sigmund


Structural and Multidisciplinary Optimization | 2015

Actuator topology design using the controllability Gramian

Otávio A. A. da Silveira; Jun Sergio Ono Fonseca; Ilmar Santos

Collaboration


Dive into the Jun Sergio Ono Fonseca's collaboration.

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Alexandre Molter

Universidade Federal de Pelotas

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Valdecir Bottega

University of Caxias do Sul

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Daniel M. De Leon

Universidade Federal do Rio Grande do Sul

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Ignacio Iturrioz

Universidade Federal do Rio Grande do Sul

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Juliano F. Gonçalves

Universidade Federal do Rio Grande do Sul

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Eduardo André Perondi

Universidade Federal do Rio Grande do Sul

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Eduardo Cardoso

Universidade Federal do Rio Grande do Sul

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Rejane Pergher

University of Caxias do Sul

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Carlos Eduardo Marcos Guilherme

Universidade Federal do Rio Grande do Sul

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Carlos Eduardo de Souza

Universidade Federal de Santa Maria

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