Advanced Ceramics
Mg
MMC Closed Die Forgings for Automotive Applications
V.M.
Kevorkijan
Independent Researching, Maribor, Slovenia
Weight
decrease in redesigned connecting rods was determined,
and the substitution of magnesium and aluminum-based materials
for steel was compared in terms of cost to demonstrate
economic advantages. View
Article
Deairing
of Aqueous Gelcasting Slurries
Santanu
Dhara and Parag Bhargava
Materials Science Centre, IIT Kharagpur, West Bengal, India
K. Sri. Ramakanth
Metallurgical and Materials Engineering, IIT Kharagpur, West Bengal, India
Preparation of
gelcasting slurries by mixing and milling results in significant air bubbles
in the slurries that might be eliminated using deairing treatments, including
antifoaming agents, idling and vacuum.View
Article
Digital Library
of Ceramic Microstructures: Part 1, Digital Library
R.R. Wills
and M.H. Peirson
University of Dayton Research Institute, Dayton, Ohio
M.K. Ferber
Mechanical Test & Instrumentation Co., Oak Ridge, Tenn.
V. Tennery
Tennery Consulting Inc., Oak Ridge, Tenn.
J. Sankar and S. Yarmolenko
North Carolina A&T University, Greensboro, N.C.
N.N. Thadhani
Georgia Institute of Technology, Atlanta
M.Velez
Mo-Sci Corp., Rolla, Mo.
M.Karakus
University of Missouri-Rolla, Rolla, Mo.
An interactive
website that contains >900 images of 30 ceramics that range from monolithic ceramics
to composites and nanoceramics has been constructed to help facilitate ceramic
education and research. View Article
NovaTest: A
Biophotonics System for Rapid In-Vitro Toxicity Testing
Larry
L. Hench and Ioan Notingher
Dept. of Materials, Imperial College of Science and Technology, London, U.K.
NovaTest is an
integrated living cell and biophotonics system developed for rapid in-vitro monitoring
and testing of potentially toxic chemicals as well as environmental or biological
agents. View Article
|
|
|
Construction Ceramics
ANN Model
Predicts Floor Tile Properties
Sedat
Akkurt and Selçuk Özcan
Izmir Institute of Technology, Izmir, Turkey
A
novel modeling technique, artificial neural network, is applied
to floor tile plant data to develop a prediction model for
process control parameters. The successful model has low error
levels. View
Article
|
|
Glass & Optical Materials
Model-Based
Control of Glassmelting Furnaces and Forehearths
Ton
C. Backx and Leo Huisman
IPCOS Technology, Boxtel, The Netherlands
Patricia
Astrid and Ruud Beerkens
Eindhoven University of Technology, Eindhoven, The Netherlands
A
model predictive control system for glass-manufacturing
processes has been developed to support a wide range
of processes in the container-glass, flat-glass, tableware,
fiberglass, lighting-glass and television-glass industries. View
Article
|
