Access the full text.
Sign up today, get DeepDyve free for 14 days.
N. Farhadian, M. Niasar (2009)
Calculation of Physical Properties of the Methanol-Water Mixture Using Molecular Dynamics Simulation, 6
(2017)
The heat expansion of soda-lime glasses
(1972)
Thermal expansion, pp
Cora Lind (2012)
Two Decades of Negative Thermal Expansion Research: Where Do We Stand?Materials, 5
(1976)
The linear expansion of borosilicate glasses in relation to their structure
M Ahsan, AH Dewan, S Mustafi, S Ahmedc (2012)
Characterization of crystalline phases of bone ash, BangladeshJ Sci Ind Res, 47
(1938)
The properties of glass Reinhold, pp
B Yates (1972)
Thermal expansion
(2011)
Application of response surface methodology for capturing optimum response in a longitudinal survey
Md. Ahsan, A. Dewan, S. Mustafi, S. Ahmed (2012)
Characterization of crystalline phases of bone ashBangladesh Journal of Scientific and Industrial Research, 47
G. Klopman, M. McGonigal (1981)
Computer simulation of physical-chemical properties of organic molecules. 1. Molecular system identificationJ. Chem. Inf. Comput. Sci., 21
H. Brand, A. Fortes, I. Wood, K. Knight, L. Vočadlo (2008)
The thermal expansion and crystal structure of mirabilite ( Na 2 SO 4 10 D 2 O ) from 4 . 2 to 300 K , determined by time-of-flight neutron powder diffraction
Z. Zakaria, Hamdzun Haron (2013)
Characterisation of Local Bone Ash for Bone China Production, 66
M. Bezerra, R. Santelli, E. Oliveira, Leonardo Villar, Luciane Escaleira (2008)
Response surface methodology (RSM) as a tool for optimization in analytical chemistry.Talanta, 76 5
X. Chen, H. Zhou, A. Kiswandhi, I. Miotkowski, Y. Chen, P. Sharma, A. Sharma, M. Hekmaty, D. Smirnov, Z. Jiang (2011)
Thermal expansion coefficients of Bi2Se3 and Sb2Te3 crystals from 10 K to 270 KApplied Physics Letters, 99
This paper is in the following of our previous study about modeling of bone china optical properties as functions of feed composition. In the present study, the effect of feed composition on bone china physical characteristics such as bulk density, thermal expansion coefficient (TEC), and firing shrinkage by using response surface methodology (RSM) and MATLAB software was investigated. In this regard, based on batch calculation diagram, 13 feed compositions around commercial composition of bone china were chosen and investigated according to RSM methodology. Second-order polynomial equations were used to simulate these properties and RSM model validations showed the accuracy of the estimated models. Also, the similarity between surface plot areas and real changes during firing cycle showed that the models are trustable to predict these physical features.
Journal of the Australian Ceramic Society – Springer Journals
Published: Jan 3, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.