Optimization of N-Channel trench power MOSFET using 2k factorial design method
The main objective of this research is to optimize the trench depth, trench width, epitaxial resistivity and epitaxial thickness in trench power MOSFET so as to obtain high breakdown voltage but low on-resistance. Optimisation of these parameters are based on 2k factorial design method for achieving...
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Universiti Kebangsaan Malaysia
2009
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ukm-242011-11-25T07:11:19Z http://journalarticle.ukm.my/24/ Optimization of N-Channel trench power MOSFET using 2k factorial design method Nur Syakimah Ismail, Ibrahim Ahmad, Hafizah Husain, The main objective of this research is to optimize the trench depth, trench width, epitaxial resistivity and epitaxial thickness in trench power MOSFET so as to obtain high breakdown voltage but low on-resistance. Optimisation of these parameters are based on 2k factorial design method for achieving specific on-resistance 0.1 mΩcm2 and blocking voltage higher than 30 V. ATHENA and ATLAS software from Silvaco Int. were used for fabrication simulation and device electrical characterisation. The results obtained were, the optimisation value for trench width was 1.25 μm, trench depth was 1.25 μm, epitaxial thickness was 4.75 μm and epitaxial resistivity was 0.32 Ωcm. The predictive value of breakdown voltage was 39.41 V and significant to factors trench depth, epitaxial thickness and epitaxial resistivity. The predictive value for on-resistance was 0.105 mΩcm2 with significant to factors trench depth, epitaxial thickness and epitaxial resistivity. In conclusion, 2k factorial design method is successfully utilised in optimizing n-channel trench power MOSFET. Universiti Kebangsaan Malaysia 2009-10 Article PeerReviewed Nur Syakimah Ismail, and Ibrahim Ahmad, and Hafizah Husain, (2009) Optimization of N-Channel trench power MOSFET using 2k factorial design method. Sains Malaysiana, 38 (5). pp. 693-698. ISSN 0126-6039 http://www.ukm.my/~jsm/contents.html |
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The main objective of this research is to optimize the trench depth, trench width, epitaxial resistivity and epitaxial thickness in trench power MOSFET so as to obtain high breakdown voltage but low on-resistance. Optimisation of these parameters are based on 2k factorial design method for achieving specific on-resistance 0.1 mΩcm2 and blocking voltage higher than 30 V. ATHENA and ATLAS software from Silvaco Int. were used for fabrication simulation and device electrical characterisation. The results obtained were, the optimisation value for trench width was 1.25 μm, trench depth was 1.25 μm, epitaxial thickness was 4.75 μm and epitaxial resistivity was 0.32 Ωcm. The predictive value of breakdown voltage was 39.41 V and significant to factors trench depth, epitaxial thickness and epitaxial resistivity. The predictive value for on-resistance was 0.105 mΩcm2 with significant to factors trench depth, epitaxial thickness and epitaxial resistivity. In conclusion, 2k factorial design method is successfully utilised in optimizing n-channel trench power MOSFET. |
format |
Article |
author |
Nur Syakimah Ismail, Ibrahim Ahmad, Hafizah Husain, |
spellingShingle |
Nur Syakimah Ismail, Ibrahim Ahmad, Hafizah Husain, Optimization of N-Channel trench power MOSFET using 2k factorial design method |
author_facet |
Nur Syakimah Ismail, Ibrahim Ahmad, Hafizah Husain, |
author_sort |
Nur Syakimah Ismail, |
title |
Optimization of N-Channel trench power MOSFET using 2k factorial design method |
title_short |
Optimization of N-Channel trench power MOSFET using 2k factorial design method |
title_full |
Optimization of N-Channel trench power MOSFET using 2k factorial design method |
title_fullStr |
Optimization of N-Channel trench power MOSFET using 2k factorial design method |
title_full_unstemmed |
Optimization of N-Channel trench power MOSFET using 2k factorial design method |
title_sort |
optimization of n-channel trench power mosfet using 2k factorial design method |
publisher |
Universiti Kebangsaan Malaysia |
publishDate |
2009 |
url |
http://journalarticle.ukm.my/24/ http://journalarticle.ukm.my/24/ |
first_indexed |
2023-09-18T19:01:04Z |
last_indexed |
2023-09-18T19:01:04Z |
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1777403076711284736 |