Tunable TE/TM-mode converter on (001)-InP-substrate

The use of a two-dimensional finite difference simulation technique to determine optimal design parameters for the fabrication of TE/TM-mode converters on (001) InP substrate is discussed. Based on design rules extracted from the calculations, a tunable device for an operating wavelength of 1.56 μm has been fabricated and polarization conversion of 45°, suitable for operation in a polarization diversity network has been achieved at an effective voltage of 32 V     

Cooled, ultrahigh Q, sapphire dielectric resonators for low-noise, microwave signal generation

Ultra-high Q, X-band resonators, used in a frequency discriminator for stabilization of a low-noise signal generator, can provide a means of obtaining significant reduction in phase noise levels. Resonator unloaded Qs on the order of 500 K can be obtained in sapphire dielectric resonator (DR) operating on a low-order (i.e. TE(01)) mode at 77 K and employing high-temperature superconducting (HTS) films installed in the DR enclosure covers. Rigorous analysis for the determination of resonator frequency, modes, and unloaded Q have been carried out using mode matching techniques. Trade-off studies have been performed to select resonator dimensions for the optimum mode yielding highest unloaded Q and widest spurious mode separation. Field distributions within the resonator have been computed to enable practical excitation of the required mode. The results of both analysis and prototype device evaluation experiments are compared for resonators fabricated using enclosures consisting of conventional, metal sidewalls and covers employing HTS films as a function of cover conductivity.     

Advances in Modeling and Simulation of Grinding Processes

In the last decade the relevance of modeling and simulation of grinding processes has significantly risen which is caused by industrial needs and is indicated by the number of publications and research activities in this area. This keynote paper results from a collaborative work within the STC G and gives an overview of the current state of the art in modeling and simulation of grinding processes: Physical process models (analytical and numerical models) and empirical process models (regression analysis, artificial neural net models) as well as heuristic process models (rule based models) are taken into account, and outlined with respect to their achievements in this paper. The models are characterized by the process parameters such as grinding force, grinding temperature, etc. as well as work results including surface topography and surface integrity. Furthermore, the capabilities and the limitations of the presented model types and simulation approaches will be exemplified.     

Development of Hybrid Assembly Workplaces

In times of shortened innovation cycles, increasing product variation and demands for faster delivery, the flexibility of production systems is crucial for success. Hybrid workplaces, dynamically configurable for both human workers and robots, help to increase the flexibility. The robot kinematics employed, the available sensors, and the grasping conditions involved in the assembly process mainly determine the changeover effort of a workplace. In this paper, different concepts for hybrid workplaces are introduced and compared with respect to investment costs and configuration effort. Concept application and evaluation are illustrated by final assembly of flat screen monitors.     

A fast compact algorithm for cubic spline smoothing

An efficient algorithm is presented for computing discrete or continuous cubic smoothing splines with uniformly spaced and uniformly weighted measurements. The algorithm computes both the spline values and the generalized cross-validation score. Execution time and memory use are reduced by carefully exploiting the problem’s rich structure. The frequency domain properties of the steady-state cubic spline smoother are also examined.     

Oblique projections: Formulas,algorithms, and error bounds

When an orthogonal projection is to be computed using data acquired by distributed sensors, it is often necessary to process each sensor's data locally and then transmit the results to a central facility for final processing. The most efficient way to do this is to compute oblique projections locally. This choice makes the final processing a matter of summing the oblique projections. In this paper we derive new formulas, and iterative algorithms and associated error bounds, for oblique projections in arbitrary Hilbert spaces. This work was supported by the Office of Naval Research under Contract N00014-85-K-0255.