English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The laser flash method is highly regarded due to its applicability to a widetemperature range, from cryogenic temperatures to the melting point ofrefractory metals, and to extreme environments involving radioactive orhazardous materials. Although instruments implementing this method are mostlyproduced on a commercial basis by major manufacturers, there is always room forimprovement both in terms of experimental methods and data treatmentprocedures. The measurement noise, either due to the detector performance orelectromagnetic interferences, presents a significant problem when accuratedetermination of thermal properties is desired. Noise resilience of the laserflash method is rarely mentioned in published literature; there are currentlyno data treatment procedures which could guarantee adequate performance underany operating conditions. In this paper, a computational framework combiningfinite-difference solutions of the heat conduction problem with nonlinearoptimization techniques based on the use of quasi-Newton direction search andstochastic linear search with the Wolfe conditions is presented. Theapplication of this framework to data with varying level of noise isconsidered. Finally, cross-verification and validation using an externalstandard, a commercial and an in-house built laser flash instrument arepresented. The open-source software implementing the described computationalmethod is benchmarked against its industrial counterpart.

Increasing the accuracy of laser flash analysis using numerical algorithms robust to noise and systematic errors