Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach

Udit Narula; Cher Ming Tan; Chao Sung Lai

doi:10.1109/ICEEOT.2016.7754810

Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach

Udit Narula
, Cher Ming Tan
, Chao Sung Lai

Department of Electronic Engineering

Chang Gung University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

A statistical method to determine key control-factors for synthesis of Graphene on Copper (Cu) using amorphous carbon (a-C) as the solid carbon source is demonstrated in this work. Attribute-Response Factorial Design-of-Experiments (DoE) are analyzed in order to accurately determine the key control-factors. Temperature and a-C thickness are found to be the important controlling factors. The outcome prediction on the basis of DoE and experimental verification of the predicted outcome for a given level of each factor is demonstrated.

Original language	English
Title of host publication	International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	869-872
Number of pages	4
ISBN (Electronic)	9781467399395
DOIs	https://doi.org/10.1109/ICEEOT.2016.7754810
State	Published - 22 11 2016
Event	2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 - Palnchur, Chennai, Tamilnadu, India Duration: 03 03 2016 → 05 03 2016

Publication series

Name	International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016

Conference

Conference	2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016
Country/Territory	India
City	Palnchur, Chennai, Tamilnadu
Period	03/03/16 → 05/03/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Amorphous carbon
Design-of-Experiments
Graphene synthesis

Access to Document

10.1109/ICEEOT.2016.7754810

Cite this

Narula, U., Tan, C. M., & Lai, C. S. (2016). Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach. In International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016 (pp. 869-872). Article 7754810 (International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEOT.2016.7754810

Narula, Udit ; Tan, Cher Ming ; Lai, Chao Sung. / Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach. International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 869-872 (International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016).

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abstract = "A statistical method to determine key control-factors for synthesis of Graphene on Copper (Cu) using amorphous carbon (a-C) as the solid carbon source is demonstrated in this work. Attribute-Response Factorial Design-of-Experiments (DoE) are analyzed in order to accurately determine the key control-factors. Temperature and a-C thickness are found to be the important controlling factors. The outcome prediction on the basis of DoE and experimental verification of the predicted outcome for a given level of each factor is demonstrated.",

keywords = "Amorphous carbon, Design-of-Experiments, Graphene synthesis",

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Narula, U, Tan, CM & Lai, CS 2016, Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach. in International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016., 7754810, International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, Institute of Electrical and Electronics Engineers Inc., pp. 869-872, 2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, Palnchur, Chennai, Tamilnadu, India, 03/03/16. https://doi.org/10.1109/ICEEOT.2016.7754810

Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach. / Narula, Udit; Tan, Cher Ming; Lai, Chao Sung.
International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 869-872 7754810 (International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach

AU - Narula, Udit

AU - Tan, Cher Ming

AU - Lai, Chao Sung

PY - 2016/11/22

Y1 - 2016/11/22

N2 - A statistical method to determine key control-factors for synthesis of Graphene on Copper (Cu) using amorphous carbon (a-C) as the solid carbon source is demonstrated in this work. Attribute-Response Factorial Design-of-Experiments (DoE) are analyzed in order to accurately determine the key control-factors. Temperature and a-C thickness are found to be the important controlling factors. The outcome prediction on the basis of DoE and experimental verification of the predicted outcome for a given level of each factor is demonstrated.

AB - A statistical method to determine key control-factors for synthesis of Graphene on Copper (Cu) using amorphous carbon (a-C) as the solid carbon source is demonstrated in this work. Attribute-Response Factorial Design-of-Experiments (DoE) are analyzed in order to accurately determine the key control-factors. Temperature and a-C thickness are found to be the important controlling factors. The outcome prediction on the basis of DoE and experimental verification of the predicted outcome for a given level of each factor is demonstrated.

KW - Amorphous carbon

KW - Design-of-Experiments

KW - Graphene synthesis

UR - https://www.scopus.com/pages/publications/85006724608

U2 - 10.1109/ICEEOT.2016.7754810

DO - 10.1109/ICEEOT.2016.7754810

M3 - 会议稿件

AN - SCOPUS:85006724608

T3 - International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016

SP - 869

EP - 872

BT - International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016

Y2 - 3 March 2016 through 5 March 2016

ER -

Narula U, Tan CM, Lai CS. Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach. In International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 869-872. 7754810. (International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016). doi: 10.1109/ICEEOT.2016.7754810

Design of experiments for determination of key factors for graphene synthesis on copper using amorphous carbon - A statistical approach

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