File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/ICICTA.2009.519
- Scopus: eid_2-s2.0-72049104847
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Optimising of Micro electroforming Ni-Fe alloy process for microstructure
Title | Optimising of Micro electroforming Ni-Fe alloy process for microstructure |
---|---|
Authors | |
Keywords | Composition Microstructure Ni-Fe deposit Optimisation process Prediction model |
Issue Date | 2009 |
Citation | 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, 2009, v. 3, p. 217-220 How to Cite? |
Abstract | The relationship between the coating composition, microstructure and the main process parameters of Micro electroforming Ni-Fe alloys was studied in this paper. Orthogonal experimental design was applied in research. From experiment it can be concluded that the soft bake temperature and time was the key factor of the structure quality. In order to obtain the suitable parameters of the deposit, an artificial neural network (ANN) with 3 layers were built. The ANN was trained based on orthogoality experiment using back propagation algorithm. Compared to the experiment results, the prediction error was less than 2.0%, which proved that the ANN was effective. The characteristics of the micro electroforming process were analysed systematically. And the optimal process parameters to obtain Ni-20%Fe deposition was as following: FeSO4·7H 20 concentration: 5.5g/L; PH value of the solution: 2.5; current density: 3.5A/dm2; electrolyte temperature: 55°C. The results indicate that the Ni-Fe deposit is bright and compact. Electrodeposited Ni-20%Fe has a strong paramagnetic effect with the smallest value of remanence 0.036mAm2 and the coercivity:0.187kA/m The Ni-Fe micro electroforming process for the fabrication of microstructure was optimised. © 2009 Crown Copyright. |
Persistent Identifier | http://hdl.handle.net/10722/348921 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zheng, Xiaohu | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.date.accessioned | 2024-10-17T06:54:56Z | - |
dc.date.available | 2024-10-17T06:54:56Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, 2009, v. 3, p. 217-220 | - |
dc.identifier.uri | http://hdl.handle.net/10722/348921 | - |
dc.description.abstract | The relationship between the coating composition, microstructure and the main process parameters of Micro electroforming Ni-Fe alloys was studied in this paper. Orthogonal experimental design was applied in research. From experiment it can be concluded that the soft bake temperature and time was the key factor of the structure quality. In order to obtain the suitable parameters of the deposit, an artificial neural network (ANN) with 3 layers were built. The ANN was trained based on orthogoality experiment using back propagation algorithm. Compared to the experiment results, the prediction error was less than 2.0%, which proved that the ANN was effective. The characteristics of the micro electroforming process were analysed systematically. And the optimal process parameters to obtain Ni-20%Fe deposition was as following: FeSO4·7H 20 concentration: 5.5g/L; PH value of the solution: 2.5; current density: 3.5A/dm2; electrolyte temperature: 55°C. The results indicate that the Ni-Fe deposit is bright and compact. Electrodeposited Ni-20%Fe has a strong paramagnetic effect with the smallest value of remanence 0.036mAm2 and the coercivity:0.187kA/m The Ni-Fe micro electroforming process for the fabrication of microstructure was optimised. © 2009 Crown Copyright. | - |
dc.language | eng | - |
dc.relation.ispartof | 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009 | - |
dc.subject | Composition | - |
dc.subject | Microstructure | - |
dc.subject | Ni-Fe deposit | - |
dc.subject | Optimisation process | - |
dc.subject | Prediction model | - |
dc.title | Optimising of Micro electroforming Ni-Fe alloy process for microstructure | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICICTA.2009.519 | - |
dc.identifier.scopus | eid_2-s2.0-72049104847 | - |
dc.identifier.volume | 3 | - |
dc.identifier.spage | 217 | - |
dc.identifier.epage | 220 | - |