Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Pipeline Optimization Design Based on Adjoint Solver

Authors
Da-guang Li, Ying Zhang
Corresponding Author
Da-guang Li
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.37How to use a DOI?
Keywords
Adjoint, design, pipeline
Abstract
Adjoint optimize solver is a discrete optimization algorithm based on gradient optimization method. It has higher efficiency and lower requirement on engineering experience in comparison with traditional engineering optimization method, and has been gradually applied in every engineering industry. In this thesis, the application of adjoint optimize solver in pipeline design is focused.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Part of series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.37How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Da-guang Li
AU  - Ying Zhang
PY  - 2016/06
DA  - 2016/06
TI  - Pipeline Optimization Design Based on Adjoint Solver
BT  - 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.37
DO  - https://doi.org/10.2991/mecs-17.2017.37
ID  - Li2016/06
ER  -