Quantification of Ultraprecision Surface Morphology using an Algebraic Graph Theoretic Approach

Prahalad Rao, Satish Bukkapatnam, Zhenyu Kong*, Omer Beyca, Kenneth Case, Ranga Komanduri

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Araştırma sonucu: Dergiye katkıKonferans makalesibilirkişi

7 Atıf (Scopus)

Özet

Assessment of progressive, nano-scale variation of surface morphology during ultraprecision manufacturing processes, such as fine-abrasive polishing of semiconductor wafers, is a challenging proposition owing to limitations with traditional surface quantifiers. We present an algebraic graph theoretic approach that uses graph topological invariants for quantification of ultraprecision surface morphology. The graph theoretic approach captures heterogeneous multi-scaled aspects of surface morphology from optical micrographs, and is therefore valuable for in situ real-time assessment of surface quality. Extensive experimental investigations with specular finished (Sa ∼ 5 nm) blanket copper wafers from a chemical mechanical planarization (CMP) process suggest that the proposed method was able to quantify and track variations in surface morphology more effectively than statistical quantifiers reported in literature.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)12-26
Sayfa sayısı15
DergiProcedia Manufacturing
Hacim1
DOI'lar
Yayın durumuYayınlandı - 2015
Harici olarak yayınlandıEvet
Etkinlik43rd North American Manufacturing Research Conference, NAMRC 2015 - Charlotte, United States
Süre: 8 Haz 201512 Haz 2015

Bibliyografik not

Publisher Copyright:
© 2015 Published by Elsevier B.V.

Finansman

The authors acknowledge the generous support of the NSF via the following grants: CMMI 1266331, 1437139, 1432914, 1401511, IIP 1355765, IOS 1146882. One of the authors (SB) also wishes to acknowledge AT&T Professorship (Oklahom a State University) and Rockwell International professorship (Texas A&M University) for additional support. The authors dedicate this article to the fond memory of Dr. Ranga Komanduri (1942-2011), a scholar and a mentor, whose presence would be deeply missed.

FinansörlerFinansör numarası
National Science Foundation1437139, IOS 1146882, CMMI 1266331, IIP 1355765, 1401511, 1432914

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