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Thermal oxidation improvement in semiconductor wafer fabrication

International Journal of Power Electronics and Drive Systems · Vol. 10 No. 3 (2019) · hlm. 1141–1147

DOI
10.11591/ijpeds.v10.i3.pp1141-1147
ISSN
2722-256X, 2088-8694
Terbit
2019-09-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Thermal oxidation is a process done to grow a layer of oxide on the surface of a silicon wafer at elevated temperatures to form silicon dioxide. Usually, it en- counters instability in oxide growth and results in variation in the oxide thickness formed. This leads to downtime of furnace and wafer scrap. This study focuses on the factors leading to this phenomenon and finding the optimum settings of these factors. The factors that cause instability to oxide thickness were narrowed down to location of wafer in furnace, oxidation time, gas flow rate and temperature. Characterization and optimization were done using Design of Experiments. Full factorial design was implemented using 4 factors and 2 levels, resulting in 16 runs. Data analysis was done using Multiple Regression Analysis in JMP software. Actual versus predicted plot is examined to determine whether the model fit is significant. Adjusted R2 value was obtained at 99.8% or 0.998 indicating that there is very minimal variation of the data not explained by the model and thus confirming that the model is good. From the effect test, the factors were narrowed down from 4 factors to 3 factors. Location factor was found to have no impact. Significant factors that have impact are gas flow rate, oxidation time and temperature. Analyzing the leverage plots and least square mean plots, temperature was found to have the highest impact on oxide thickness. The model was further analyzed using prediction profiler in JMP to find the optimum settings for thermal oxidation process to meet the target oxide thickness of 8000A. Optimum setting for temperature was found to be at 958 C, gas flow rate at low flow rate (H2:6.5 slm and O2:4.5 slm), oxidation time at 280 min and location of wafers at both zone 1 and zone 2.

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  • University of Technology Malaysia
  • Glasgow Caledonian University
  • Jubail Industrial College
  • Robert Gordon University
  • University of Kuala Lumpur
  • Universidad Técnica Federico Santa María
  • Tun Hussein Onn University of Malaysia
  • Organisasi lain
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Abdullahi Abubakar Mas’udJubail Industrial College8
Firdaus Muhammad‐SukkiRobert Gordon University7
Mohd Nabil MuhtazaruddinUniversity of Technology Malaysia7
Siti Hawa Abu-BakarUniversity of Kuala Lumpur4
Jorge Alfredo Ardila ReyUniversidad Técnica Federico Santa María4
Nazmi SellamiAfiliasi tidak diketahui3
Jasrul Jamani JamianUniversity of Technology Malaysia2
Z Abdul-MalekUniversity of Technology Malaysia2
Kamilia KamardinUniversity of Technology Malaysia2
Hamza AhmadTun Hussein Onn University of Malaysia2
Abu Bakar MunirUniversity of Malaya2
Firdaus Muhammad SukkiAfiliasi tidak diketahui2
Siti Hawa Abu BakarAfiliasi tidak diketahui2
Zulkurnain Abdul‐MalekUniversity of Technology Malaysia2
Siti Armiza Mohd ArisUniversity of Technology Malaysia2
Siti Zura A. JalilUniversity of Technology Malaysia2
Sharipah Alwiah Syed Abd RahamanUniversity of Technology Malaysia2
Daria FreierGlasgow Caledonian University1
Roberto Ramírez-ÍñiguezGlasgow Caledonian University1
Tapas Kumar MallickUniversity of Exeter1
Siti Hajar Mohd YasinUniversiti Teknologi MARA1
Siti Sarah Abu-BakarKing's College London1
Jonas TaverneAfiliasi tidak diketahui1
Ahmad Syahir AyubAfiliasi tidak diketahui1
Draco IyiAfiliasi tidak diketahui1
Ridoan KarimAfiliasi tidak diketahui1
Abdullahi Abubakar Mas’udAfiliasi tidak diketahui1
Mu’azu Mohammed AbdullahiAfiliasi tidak diketahui1
Ibrahim Abubakar Mas’udAfiliasi tidak diketahui1
Jorge Alfredo Ardila-ReyAfiliasi tidak diketahui1
Ahmad Shakir Mohd SaudiAfiliasi tidak diketahui1
Asan Vernyuy WirbaAfiliasi tidak diketahui1
Mohd Alif Saifuddin JamalludinAfiliasi tidak diketahui1
Fadzliana RamleeAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">Thermal oxidation improvement in semiconductor wafer fabrication</dc:title>
	<dc:creator>Mahandran, Christopher Julian</dc:creator>
	<dc:creator>Fatah, Abdul Yasser Abd</dc:creator>
	<dc:creator>Bani, Nurul Aini</dc:creator>
	<dc:creator>Kaidi, Hazilah Mad</dc:creator>
	<dc:creator>Muhtazaruddin, Mohd Nabil Bin</dc:creator>
	<dc:creator>Amran, Mohd Effendi</dc:creator>
	<dc:description xml:lang="en-US">Thermal oxidation is a process done to grow a layer of oxide on the surface of a silicon wafer at elevated temperatures to form silicon dioxide. Usually, it en- counters instability in oxide growth and results in variation in the oxide thickness formed.  This leads to downtime of furnace and wafer scrap.  This study focuses on the factors leading to this phenomenon and finding the optimum settings of these factors. The factors that cause instability to oxide thickness were narrowed down to location of wafer in furnace, oxidation time, gas flow rate and temperature. Characterization and optimization were done using Design of Experiments. Full factorial design was implemented using 4 factors and 2 levels, resulting in 16 runs. Data analysis was done using Multiple Regression Analysis in JMP software. Actual versus predicted plot is examined to determine whether the model fit is significant. Adjusted R2 value was obtained at 99.8% or 0.998 indicating that there is very minimal variation of the data not explained by the model and thus confirming that the model is good. From the effect test, the factors were narrowed down from 4 factors to 3 factors. Location factor was found to have no impact. Significant factors that have impact are gas flow rate, oxidation time and temperature. Analyzing the leverage plots and least square mean plots, temperature was found to have the highest impact on oxide thickness. The model was further analyzed using prediction profiler in JMP to find the optimum settings for thermal oxidation process to meet the target oxide thickness of 8000A. Optimum setting for temperature was found to be at 958 C, gas flow rate at low flow rate (H2:6.5 slm and O2:4.5 slm), oxidation time at 280 min and location of wafers at both zone 1 and zone 2.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2019-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/19857</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v10.i3.pp1141-1147</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 10, No 3: September 2019; 1141-1147</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v10.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/19857/12836</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Christopher Julian Mahandran, Abdul Yasser Abd Fatah, Nurul Aini Bani, Hazilah Mad Kaidi, Mohd Nabil Bin Muhtazaruddin, Mohd Effendi Amran</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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