Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Kazuo Yonekura is active.

Publication


Featured researches published by Kazuo Yonekura.


ASME Turbo Expo 2014: Turbine Technical Conference and Exposition | 2014

Film Cooling Hole Shape Optimization Using Proper Orthogonal Decomposition

Kozo Nita; Yoji Okita; Chiyuki Nakamata; Seiji Kubo; Kazuo Yonekura; Osamu Watanabe

Film cooling is a very effective cooling method for protecting the turbine blades exposed to hot gas from the heat. Since its cooling effectiveness is highly dependent on the shape of the hole, a wide variety of concepts and design parameters regarding hole shapes have been researched. However, there are no well-defined ways to determine the optimum shape of a film cooling hole.The CFD is a powerful tool for film cooling hole optimization. But with the number of parameters that define the film cooling hole shapes being so numerous, analytical optimization with CFD often requires computational resources that are unrealistic for the average design environment. Accordingly, for CFD to be effective in the optimization process, it is necessary to reduce the number of computations or shorten the calculation time per computation.In order to solve this problem, this paper presents a novel approach of applying 3D-POD (3D-Proper Orthogonal Decomposition) to the optimization of film cooling holes. POD is one of the most important component analysis methods and has the potential to reduce the number of parameters.From the computation results, a solution group was made by the RSM (Response Surface Method) and assessment functions, i.e., film cooling effectiveness, heat transfer coefficient, mixing loss, concentration of stress and robustness were considered first. In the end, however, considering the sensitivity of each objective function, the optimal hole shapes were obtained with only the film effectiveness being evaluated.In the following sections, this method and its results are described in detail.Copyright


Optimization and Engineering | 2010

Global optimization of robust truss topology via mixed integer semidefinite programming

Kazuo Yonekura; Yoshihiro Kanno


Optimization and Engineering | 2012

Second-order cone programming with warm start for elastoplastic analysis with von Mises yield criterion

Kazuo Yonekura; Yoshihiro Kanno


Structural and Multidisciplinary Optimization | 2015

A flow topology optimization method for steady state flow using transient information of flow field solved by lattice Boltzmann method

Kazuo Yonekura; Yoshihiro Kanno


Japan Journal of Industrial and Applied Mathematics | 2017

Topology optimization method for interior flow based on transient information of the lattice Boltzmann method with a level-set function

Kazuo Yonekura; Yoshihiro Kanno


Journal of Mechanical Design | 2014

A Shape Parameterization Method Using Principal Component Analysis in Applications to Parametric Shape Optimization

Kazuo Yonekura; Osamu Watanabe


Transactions of the JSME (in Japanese) | 2016

Fast local convergence for flow topology optimization using the lattice Boltzmann method with a modified Newton method

Kazuo Yonekura; Yoshihiro Kanno


Mechanical Engineering Letters | 2016

Development of 3×3 DOF blocking structural elements to enhance the computational intensity of iterative linear solver

Naoki Morita; Kazuo Yonekura; Ichiro Yasuzumi; Mitsuyoshi Tsunori; Gaku Hashimoto; Hiroshi Okuda


The Proceedings of Design & Systems Conference | 2015

3507 Avoiding gray-scale problems and improving convergence properties by using Newton method in flow topology optimization

Kazuo Yonekura; Yoshihiro Kanno


MATEC Web of Conferences | 2015

Prediction of stress-strain behavior of ceramic matrix composites using unit cell model

Takuya Suzuki; Yasuhiro Ohtake; Yoshihiro Otani; Kazuo Yonekura; Yusuke Ueda

Collaboration


Dive into the Kazuo Yonekura's collaboration.

Top Co-Authors

Avatar

Yoshihiro Kanno

Tokyo Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge