A shrinkage cavity prediction model for gravity castings based on pressure distribution: A casting steel case. (April 2017)
- Record Type:
- Journal Article
- Title:
- A shrinkage cavity prediction model for gravity castings based on pressure distribution: A casting steel case. (April 2017)
- Main Title:
- A shrinkage cavity prediction model for gravity castings based on pressure distribution: A casting steel case
- Authors:
- Ling, Yun
Zhou, Jianxin
Nan, Hai
Yin, Yajun
Shen, Xu - Abstract:
- Graphical abstract: Abstract: Numerical simulation of casting solidification process is of great importance for producing of gravity casting part. In the paper, two key points of evolution of isolated liquid areas and shrinkage location in each isolated liquid area in the shrinkage prediction are discussed. The boundary criterion used in isolated liquid areas searching algorithm and rule of shrinkage distribution based on the principle of minimum potential energy is derived. The pressure plays a key role in both points. Then we discussed the detail of the workflow and solution of shrinkage cavities prediction model. Finally, a group of U-type casting experiments are simulated and implemented in order to test and verify effectiveness of the proposed model. An excellent agreement is indicated for the numerical simulation result and the experiment results.
- Is Part Of:
- Journal of manufacturing processes. Volume 26(2017)
- Journal:
- Journal of manufacturing processes
- Issue:
- Volume 26(2017)
- Issue Display:
- Volume 26, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 26
- Issue:
- 2017
- Issue Sort Value:
- 2017-0026-2017-0000
- Page Start:
- 433
- Page End:
- 445
- Publication Date:
- 2017-04
- Subjects:
- Numerical simulation -- Gravity castings -- Shrinkage prediction -- Isolated liquid area -- Pressure
Production management -- Data processing -- Periodicals
Manufacturing processes -- Periodicals
Procestechnologie
Productietechniek
Production -- Gestion -- Informatique -- Périodiques
Fabrication -- Périodiques
Manufacturing processes
Production management -- Data processing
Periodicals
670.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15266125 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jmapro.2017.02.017 ↗
- Languages:
- English
- ISSNs:
- 1526-6125
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5011.640000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1411.xml