fulltext.study @t Gmail

Regression model for predicting selected thermal properties of next-generation bioactive glasses

Paper ID Volume ID Publish Year Pages File Format Full-Text
721 60 2012 7 PDF Available
Title
Regression model for predicting selected thermal properties of next-generation bioactive glasses
Abstract

The compositional palette traditionally used to develop bioactive glasses has grown in recent times to include therapeutic inorganic species such as zinc and strontium. Historical regression models used for predicting the properties of bioactive glasses as a function of composition have not evolved to consider this expanded compositional space. In this work, nonlinear regression analysis was applied to historical data to construct predictive models for the glass transition temperature and the coefficient of thermal expansion of next-generation bioactive glasses. The new regression models also provide some degree of improvement over existing models in predicting the properties of traditional bioactive glasses.

Keywords
Bioactive glass; Thermal expansion coefficient; Glass transition temperature; Regression analysis; Thermal properties
First Page Preview
Regression model for predicting selected thermal properties of next-generation bioactive glasses
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us
Publisher
Database: Elsevier - ScienceDirect
Journal: Acta Biomaterialia - Volume 8, Issue 6, July 2012, Pages 2324–2330
Authors
, ,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us