Open Access. Powered by Scholars. Published by Universities.®

Nanoscience and Nanotechnology Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Nanoscience and Nanotechnology

A Generalized Solidification Model And Microstructural Verification For The Nd–Fe–B–Ti–C System Processed By Rapid Solidification, Matthew J. Kramer, C.P. Li, K.W. Dennis, R.W. Mccallum, C.H. Sellers, D.J. Branagan, Jeffrey E. Shield Apr 1997

A Generalized Solidification Model And Microstructural Verification For The Nd–Fe–B–Ti–C System Processed By Rapid Solidification, Matthew J. Kramer, C.P. Li, K.W. Dennis, R.W. Mccallum, C.H. Sellers, D.J. Branagan, Jeffrey E. Shield

Nebraska Center for Materials and Nanoscience: Faculty Publications

For the Nd2Fe14B (2-14-1) compound, the optimal grain size should be smaller than the size of the single domain size of 150 nm. Transition metal carbides (TMC) also reduce the quench rate necessary to achieve the optimal or overquenched condition. This allows inert gas atomization (IGA) to produce viable magnetic materials. In this article we will demonstrate that optimal microstructure for the 2-14-1 can be produced by IGA with the addition of TiC. Moreover, a solidification model will be presented to show (1) how recalescence is a critical feature to the evolution of the microstructure in …


Part Form Errors Predicted From Machine Tool Performance Measurements, R. G. Wilhelm, N. Srinivasan, F. Farabaugh, R. Hocken Jan 1997

Part Form Errors Predicted From Machine Tool Performance Measurements, R. G. Wilhelm, N. Srinivasan, F. Farabaugh, R. Hocken

Department of Mechanical and Materials Engineering: Faculty Publications

Machine tool performance testing, as defined by IS0 230 and ANSI B5.54 has been successfully used to maintain and improve the accuracy and repeatability of production-level machine tools. In this study, a controlled series of experiments have been used to test the efficacy of these performance tests in the prediction of part form errors. Results are shown for flatness, squareness, position, and profile tolerances. The experimental results suggest that standard machine tool performance tests can also be used to predict the “best-case” tolerances that can be achieved for particular part features.