Kazuhiro Saitou

Kazuhiro Saitou

University of Michigan

H-index: 37

North America-United States

About Kazuhiro Saitou

Kazuhiro Saitou, With an exceptional h-index of 37 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of design for manufacturing, design for assembly, topology optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Functionally-graded Lattice Topology Optimization of Conformal Fluid Channels

Journal of Computing and Information Science in Engineering

Surface developability constraint for density-based topology optimization

Methods for topology optimization using a membership variable

A novel predictive-reactive rescheduling method for products assembly lines with optimal dynamic pegging

A discrete adjoint-based level set topology optimization method for stress and buckling constraints

Topology optimization with wall thickness and piecewise developability constraints for foldable shape-changing structures

Large-scale three-dimensional anisotropic topology optimization of variable-axial lightweight composite structures

Kazuhiro Saitou Information

University

Position

Professor of Mechanical Engineering at

Citations(all)

5513

Citations(since 2020)

1684

Cited By

4554

hIndex(all)

37

hIndex(since 2020)

20

i10Index(all)

104

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Kazuhiro Saitou Skills & Research Interests

design for manufacturing

design for assembly

topology optimization

Top articles of Kazuhiro Saitou

Functionally-graded Lattice Topology Optimization of Conformal Fluid Channels

2023/10/11

Hao Deng
Hao Deng

H-Index: 16

Kazuhiro Saitou
Kazuhiro Saitou

H-Index: 20

Surface developability constraint for density-based topology optimization

2022/11/15

Methods for topology optimization using a membership variable

2022/9/27

A novel predictive-reactive rescheduling method for products assembly lines with optimal dynamic pegging

Computers & Industrial Engineering

2022/9/1

Kazuhiro Saitou
Kazuhiro Saitou

H-Index: 20

A discrete adjoint-based level set topology optimization method for stress and buckling constraints

Computer Methods in Applied Mechanics and Engineering

2021/4/15

Topology optimization with wall thickness and piecewise developability constraints for foldable shape-changing structures

Structural and Multidisciplinary Optimization

2022/4

Yuqing Zhou
Yuqing Zhou

H-Index: 6

Kazuhiro Saitou
Kazuhiro Saitou

H-Index: 20

Large-scale three-dimensional anisotropic topology optimization of variable-axial lightweight composite structures

Journal of Mechanical Design

2022/1/1

Methods for combinatorial constraint in topology optimization using shape transformation

2021/9/28

Multicomponent topology optimization of functionally graded lattice structures with bulk solid interfaces

International Journal for Numerical Methods in Engineering

2021/8/30

Bing Yi
Bing Yi

H-Index: 7

Kazuhiro Saitou
Kazuhiro Saitou

H-Index: 20

Anisotropic multicomponent topology optimization for additive manufacturing with build orientation design and stress-constrained interfaces

Journal of Computing and Information Science in Engineering

2021/2/1

Yuqing Zhou
Yuqing Zhou

H-Index: 6

Kazuhiro Saitou
Kazuhiro Saitou

H-Index: 20

Predictive-reactive rescheduling for new order arrivals with optimal dynamic pegging

2020/8/20

Kazuhiro Saitou
Kazuhiro Saitou

H-Index: 20

Configuration design for make-to-order production considering individual order arrivals and machine level changeovers

2020/8/20

Sihan Huang
Sihan Huang

H-Index: 7

Kazuhiro Saitou
Kazuhiro Saitou

H-Index: 20

Configuration design of scalable reconfigurable manufacturing systems for part family

International Journal of Production Research

2020/5/18

Kazuhiro Saitou
Kazuhiro Saitou

H-Index: 20

Omid Fatahi Valilai
Omid Fatahi Valilai

H-Index: 15

See List of Professors in Kazuhiro Saitou University(University of Michigan)

Co-Authors

academic-engine