Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

Pulse Sequence Frequency Selection Method of High Frequency Shake-out Machine

Authors
Fang-zhen Song, Zheng-tao Yuan, Bo Song
Corresponding Author
Fang-zhen Song
Available Online July 2019.
DOI
10.2991/masta-19.2019.44How to use a DOI?
Keywords
Pulse sequence, Air hammer, Modal analysis, Harmonic response analysis
Abstract

The pulse sequence frequency is an important control parameter of shake-out machine. Traditionally, the selection is done by trial and error. This method is low in efficiency, wastes energy in repeated impact tests, and the selected pulse frequency reliability is low, so it often fails to get good shake-out effect. Aiming at the shortcomings of the trial and error method, the method of selecting the pulse frequency of air hammer by means of modal analysis and harmonic response analysis of castings is proposed. The value range of frequency is greatly reduced and the optimization efficiency of pulse frequency is improved by means of this method.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
978-94-6252-761-4
ISSN
1951-6851
DOI
10.2991/masta-19.2019.44How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fang-zhen Song
AU  - Zheng-tao Yuan
AU  - Bo Song
PY  - 2019/07
DA  - 2019/07
TI  - Pulse Sequence Frequency Selection Method of High Frequency Shake-out Machine
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 262
EP  - 268
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.44
DO  - 10.2991/masta-19.2019.44
ID  - Song2019/07
ER  -