Results 21 to 30 of about 3,408 (247)

Cathode Shape Design for Steady-State Electrochemical Machining

Algorithms, 2023
The inverse or cathode shape design problem of electrochemical machining (ECM) deals with the computation of the shape of the tool cathode required for producing a workpiece anode of a desired shape.
Jinming Lu, Ewald A. Werner
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Efficient Optimization of a Regional Water Elevation Model With an Automatically Generated Adjoint

Journal of Advances in Modeling Earth Systems, 2023
Calibration of unknown model parameters is a common task in many ocean model applications. We present an adjoint‐based optimization of an unstructured mesh shallow water model for the Baltic Sea.
Tuomas Kärnä, Joseph G. Wallwork, Stephan C. Kramer   +2 more
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An adjoint for likelihood maximization [PDF]

, 2009
The process of likelihood maximization can be found in many different areas of computational modelling. However, the construction of such models via likelihood maximization requires the solution of a difficult multi-modal optimization problem involving ...
Bressloff, Neil W., Andy J. Keane, Keane, Andy J., Holden, Carren, Alexander I J Forrester, Neil W Bressloff, Carren Holden, Forrester, Alexander I.J., Toal, David J.J.   +8 more
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A Uniform Accuracy High-Order Finite Difference and FEM for Optimal Problem Governed by Time-Fractional Diffusion Equation

Fractal and Fractional, 2022
In this paper, the time fractional diffusion equations optimal control problem is solved by 3−α order with uniform accuracy scheme in time and finite element method (FEM) in space.
Junying Cao, Zhongqing Wang, Ziqiang Wang   +2 more
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Shape optimization of preform design for minimizing plastic work of forging process

Nihon Kikai Gakkai ronbunshu, 2021
In this study, we present a parameter-free shape optimization method for preform design in forging process. The objective functional is the total plastic work of forging process.
Masahiro KITAGAWA, Masatoshi SHIMODA, Hajime KAWARASAKI   +2 more
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Estimation analysis of a defect depth in a concrete based on the adjoint variable method (Numerical experiment assuming observed displacement by the hammering test)

Nihon Kikai Gakkai ronbunshu, 2018
In this study, the estimation of a defect depth in concrete is carried out based on the finite element and the adjoint variable methods. As the governing equation, the equation of motion is employed, and the finite element and Newmark’s β methods are ...
Kenta YOSHIHARA, Takahiko KURAHASHI, Yuki MURAKAMI, Shigehiro TOYAMA, Fujio IKEDA, Tetsuro IYAMA, Ikuo IHARA   +6 more
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Application of Petrov-galerkin method in stabilization solution of advection-diffusionreaction unidimensional problems

Revista Facultad de Ingeniería Universidad de Antioquia, 2013
This paper examines the Streamline Upwind Petrov Galerkin method as a stabilizing technique for the numerical solution of differential equations of advection-diffusion-reaction; it analizes the method taking into account the non self-adjoint nature of ...
Diego Alexander Garzón-Alvarado, Carlos Humberto Galeano-Urueña, Carlos Alberto Duque-Daza   +2 more
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Texture shape optimization analysis using a new acceleration gradient method based on the Taylor expansion and conjugate direction

Journal of Fluid Science and Technology, 2022
This paper proposes a new acceleration gradient method by addition of the Taylor expansion and conjugate direction to Nesterov’s acceleration gradient method.
Hiroaki ARATA, Masayuki KISHIDA, Takahiko KURAHASHI   +2 more
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Numerical studies for defect topology identification based on the adjoint variable and the finite element methods

Mechanical Engineering Journal, 2023
This paper describes the visualization of defect regions in a structure via hammering test that employs the level set type topology optimization based on the concept of the phase-field method.
Takahiko KURAHASHI, Kengo TAKEUCHI, Towa KOIKE, Masayuki KISHIDA, Yuki MURAKAMI, Fujio IKEDA   +5 more
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Material and Load Optimization by the Adjoint Variable Method

Journal of Heat Transfer, 1987
The present study is concerned with the static optimization of material parameters and loading functions of heat conducting solids. The sensitivity analysis (SA), i.e., evaluation of the variations of systems's response functionals with respect to changes in decision variables, is performed by the AVM.
openaire   +2 more sources