The prediction of silicon content in hot metal has been a major study subject as one of the most important means for the monitoring state in ferrous metallurgy industry. A prediction model of silicon content is established based on the support vector regression (SVR) whose optimal parameters are selected by chaos particle swarm optimization. The data of the model are collected from No. 3 BF in ...

In a collaboration between Pennsylvania State University and Princeton University, we have been laying the foundations for flexible display technology. Flexible substrates including plastic or steel foil, backplanes of organic or silicon transistors, and directly printed RGB organic light emitting diodes are issues central to this collaboration. We present an overview of key recent results. Sil...

Purpose: The purpose of the present study was to investigate the bond strength of an indirect composite material to a magnetic stainless steel alloy. Materials and Methods: The surfaces of machined magnetic stainless steel alloy specimens were abraded with 600-grit silicon carbide paper and then grouped according to the type of surface treatment given: 1) without preparation, 2) tribochemical s...

A 4600 Hz fast ramping synchrotron is explored as an economical way of accelerating muons from 4 to 20 GeV/c for a neutrino factory. Eddy current losses are minimized by the low machine duty cycle plus thin grain oriented silicon steel laminations and thin copper wires. Combined function magnets with high gradients alternating within single magnets form the lattice we describe. Muon survival is...

For decades Electrochemical Polishing (ECP) has been used for surface polishing of bulk metal materials such as copper and stainless steel. However, it was found very challenging to planarize patterned copper films electrodeposited on silicon wafers. This work studied the mechanisms of ECP, the surface profiles and ECP effects of copper bulk and films in various electrolyte solutions. Satisfied...