Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 8677-8686 |
| Seitenumfang | 10 |
| Fachzeitschrift | Applied Optics |
| Jahrgang | 51 |
| Ausgabenummer | 36 |
| Publikationsstatus | Veröffentlicht - 20 Dez. 2012 |
Abstract
Applications of computational manufacturing experiments (CMEs) for selection of the most manufacturable designs among a variety of different design solutions are demonstrated. We compare design solutions with respect to estimations of their production yields. Computational experiments are performed using two simulation software tools. In the course of CMEs, we take into account all major factors causing errors in our deposition process. Real deposition experiments are in agreement with CMEs; the most manufacturable design exhibits better target performances compared to other designs.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Atom- und Molekularphysik sowie Optik
- Ingenieurwesen (insg.)
- Ingenieurwesen (sonstige)
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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in: Applied Optics, Jahrgang 51, Nr. 36, 20.12.2012, S. 8677-8686.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
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TY - JOUR
T1 - Computational manufacturing as a tool for the selection of the most manufacturable design
AU - Amotchkina, Tatiana V.
AU - Schlichting, Sebastian
AU - Ehlers, Henrik
AU - Trubetskov, Michael K.
AU - Tikhonravov, Alexander V.
AU - Ristau, Detlev
PY - 2012/12/20
Y1 - 2012/12/20
N2 - Applications of computational manufacturing experiments (CMEs) for selection of the most manufacturable designs among a variety of different design solutions are demonstrated. We compare design solutions with respect to estimations of their production yields. Computational experiments are performed using two simulation software tools. In the course of CMEs, we take into account all major factors causing errors in our deposition process. Real deposition experiments are in agreement with CMEs; the most manufacturable design exhibits better target performances compared to other designs.
AB - Applications of computational manufacturing experiments (CMEs) for selection of the most manufacturable designs among a variety of different design solutions are demonstrated. We compare design solutions with respect to estimations of their production yields. Computational experiments are performed using two simulation software tools. In the course of CMEs, we take into account all major factors causing errors in our deposition process. Real deposition experiments are in agreement with CMEs; the most manufacturable design exhibits better target performances compared to other designs.
UR - http://www.scopus.com/inward/record.url?scp=84872039497&partnerID=8YFLogxK
U2 - 10.1364/AO.51.008677
DO - 10.1364/AO.51.008677
M3 - Article
AN - SCOPUS:84872039497
VL - 51
SP - 8677
EP - 8686
JO - Applied Optics
JF - Applied Optics
SN - 1559-128X
IS - 36
ER -