Chapter 8 - Design of experiments: A key to innovation in nanotechnology

C Yuangyai; H.B Nembhard

doi:10.1016/B978-0-323-28990-0.00008-7

Back

Book chapter

Chapter 8 - Design of experiments: A key to innovation in nanotechnology

C Yuangyai and H.B Nembhard

Emerging Nanotechnologies for Manufacturing, pp.230-254

Elsevier Inc, Second Edition

2015

DOI: 10.1016/B978-0-323-28990-0.00008-7

View Online

Abstract

At the nanoscale, there are often very complex relationships among input design parameters and process or product outputs. It would be prohibitively time consuming to perform all of the combinatorially possible experiments in order to comprehend these relationships. However, statistical design of experiments (DoE) is a technique that can be used to efficiently explore the relationships and develop greater understanding. Consequently, DoE is becoming increasingly central to the advancement of nanotechnology and nanomanufacturing.

Design of experiments (DoE)

factorial design, and computer generated design

nanomanufacturing

nanoscale

random design

statistical design

Details

Title: Subtitle: Chapter 8 - Design of experiments: A key to innovation in nanotechnology
Creators: C Yuangyai - Pennsylvania State University
H.B Nembhard - Pennsylvania State University
Resource Type: Book chapter
Publication Details: Emerging Nanotechnologies for Manufacturing, pp.230-254
Edition: Second Edition
DOI: 10.1016/B978-0-323-28990-0.00008-7
Publisher: Elsevier Inc
Language: English
Date published: 2015
Academic Unit: Engineering Administration; Industrial and Systems Engineering
Record Identifier: 9984186974602771

Metrics

63 Record Views

14 Times Cited - Web of Science