Description: The simple, empirical, surprisingly accurate and venerable Arrhenius equation, based upon the work of Van't Hoff, is very useful for summarising large bodies of experimentally determined diffusion data for a given host/diffusant system. It is the first port of call for any researcher planning new diffusion studies, or for engineers who need to estimate heat-treatment times in manufacturing processes. The present compilation covers Arrhenius parameters for the host-metals: aluminum, barium, beryllium, cadmium, chromium, cobalt, copper, gallium, gold, hafnium, indium, iridium, iron, lead, lithium, magnesium, molybdenum, nickel, niobium, palladium, platinum, potassium, rhodium, ruthenium, scandium, silver, sodium, tantalum, thallium, thorium, tin, titanium, tungsten, vanadium, zinc and zirconium. The 1315 entries cover the period from 1927 to 2013.

Modern Materials and Technologies of Industrial Production

Edited by: Zhang Jun and Honghua Tan

Online since: September 2013

Description: Collection of selected, peer reviewed papers from the 2013 2nd International Conference on Mechanical Properties of Materials and Information Technology (ICMPMIT 2013), August 17-19, 2013, Hong Kong.
The 133 papers are grouped as follows:
Chapter 1: Applied Materials and Technology of Processing;
Chapter 2: Materials and Technologies in Micro- and Optoelectronics;
Chapter 3: Materials and Technologies in Construction;
Chapter 4: Materials and Technologies in Environmental Engineering;
Chapter 5: Technologies of Applied Design in Industry;
Chapter 6: Measurement Technologies, Signal and Data Processing;
Chapter 7: Design and Research of MEMS;
Chapter 8: Communication, Control and Information Technology in Engineering;
Chapter 9: Power Systems and Power Engineering;
Chapter 10: Other Related Topics.

Theory, Modeling and Numerical Simulation

Edited by: Veena Tikare, Graeme E. Murch, Frederic Soisson and Jeung Ku Kang

Online since: April 2008

Description: Volume is indexed by Thomson Reuters CPCI-S (WoS).
No present-day research and development program is complete without the inclusion of a robust modeling and numerical simulation component. Models and model-based numerical simulations are extensively used to probe complex materials behavior and structure in order to obtain a deeper insight into the fundamentals of materials. Multi-physics models are becoming increasingly common, with advances in computational science, and are rapidly advancing the basic understanding of materials.