Sarkar, Debasish and Reddy, Bhimavarapu Sambi and Basu, Bikramjit (2018) Implementing statistical modeling approach towards development of ultrafine grained bioceramics: Case of ZrO2-toughened Al2O3. In: JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 101 (3). pp. 1333-1343.
Full text not available from this repository. (Request a copy)Abstract
The application of statistical modeling approach with the predictive capability of sinter density and grain size is perceived as a central theme in the development of next generation ceramics. Such computationally intensive method can be equally significant, if the predicted process conditions can be adapted experimentally to develop complex shaped ceramics with variable sizes. In the first ever attempt to address such issues for the ceramics, we have, in the present work, considered a range of factors and levels from relevant process variables (sintering temperature, sintering time) and material variables (sinter-aid addition and reinforcement content) as input parameters to formulate data-driven, high throughput analytical assays by response surface method (RSM). Using ZrO2 toughened Al2O3 (ZTA) as a model system, the adopted RSM approach has been used to quantitatively predict independent and interactive role of process and material variables on sinter density and grain size.
Item Type: | Journal Article |
---|---|
Publication: | JOURNAL OF THE AMERICAN CERAMIC SOCIETY |
Publisher: | 10.1111/jace.15255 |
Additional Information: | Copy right for this article belongs to the WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA |
Department/Centre: | Division of Chemical Sciences > Materials Research Centre |
Date Deposited: | 20 Jan 2018 07:01 |
Last Modified: | 20 Jan 2018 07:01 |
URI: | http://eprints.iisc.ac.in/id/eprint/58796 |
Actions (login required)
View Item |