T-CAD Simulation for the Designing of Detectors

In this paper we report the development of an artificial neural network to extract a 17-element small-signal circuit model of high electron mobility transistors (HEMTs) and one associated noise temperature value. By this procedure, we are able to reproduce the small-signal and noise performance of several device types from only one measured scattering parameter set, one frequency point and one noise figure value. The employed noise figure is measured in input matched conditions (i.e. 50 Ω source impedance), namely F 50. The output noise temperature is associated to the drain-source resistance in the HEMT equivalent circuit according to the noise temperature model by Pospieszalski. The noise parameters of the device under test are then calculated by CAD simulation of the circuit and compared with measurement results. The trained network outputs were used by means of a commercial CAD tool, to simulate and fit measurements performed down to cryogenic temperatures with very good agreement. We observed that the difference that occurs between the expected value of the noise temperature and the average value calculated by the neural network leads to negligible variations in the behavior of the simulated noise parameters.

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Front panel engineering with CAD simulation tool

10.1117/12.344641 ◽

1999 ◽

Author(s):

Jacques Delacour ◽

Serge Ungar ◽

Gilles Mathieu ◽

Guenther Hasna ◽

Pascal Martinez ◽

...

Keyword(s):

Front Panel ◽

Simulation Tool ◽

Cad Simulation

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Gear skiving—CAD simulation approach

Computer-Aided Design ◽

10.1016/j.cad.2012.02.003 ◽

2012 ◽

Vol 44 (7) ◽

pp. 611-616 ◽

Cited By ~ 8

Author(s):

Aristomenis Antoniadis

Keyword(s):

Simulation Approach ◽

Cad Simulation

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Robot applications supported by CAD simulation

Robotics and Computer-Integrated Manufacturing ◽

10.1016/0736-5845(87)90007-x ◽

1987 ◽

Vol 3 (1) ◽

pp. 55-62 ◽

Cited By ~ 4

Author(s):

H. Wörn ◽

G. Stark

Keyword(s):

Cad Simulation

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UVC LED and Conducting Yarn-Based Heater for a Smart Germicidal Face Mask to Protect against Airborne Viruses

Materials ◽

10.3390/ma14226999 ◽

2021 ◽

Vol 14 (22) ◽

pp. 6999

Author(s):

Priyabrata Pattanaik ◽

William Holderbaum ◽

Asimananda Khandual ◽

Hara Prasada Tripathy

Keyword(s):

Face Mask ◽

Prevention Measures ◽

Irradiation Intensity ◽

Moisture Management ◽

Cad Simulation ◽

Ultraviolet C ◽

The Government ◽

Far Ultraviolet ◽

Airborne Viruses ◽

Uv C

“Wear a mask. Save lives” is the slogan of WHO and all the government agencies over the world to the public. One of the most adopted prevention measures that can limit the spread of the airborne virus in the form of respiratory viral diseases, including the new strain of COVID-19, is wearing a proper mask. If the mask surface is heated to 65 to 70 °C, it could help potentially diminish any viruses or bacteria accumulated. The FAR-Ultraviolet -C (FAR-UV-C) dose for the influenza limit to 254 nm light is ~3 mJ/cm2/hour exposure is not harmful to the human skin and eyes. Here, we propose an intelligent mask served by FAR-UV-C and conducting a yarn-based heater that could potentially be activated in a controlled manner to kill the virus. The effective irradiation intensity for skin application would be under 0.1 µW/cm2. The exposure risk of UV-C is technically prevented by fabricating multi-layered fabrics with multiple functionalities. Along with experimental validation on bacterial filtration efficiency (BFE), tinker cad simulation for circuit design, and comsol multiphysics for temperature profile study, we probed Moisture Management Test (MMT) in addition with cytotoxicity risk by MTT Assay for survivability to ensure safer application potential. This novel proposed design with the germicidal combination of heating and FAR-UV-C models, described here, is promising in retaliating and combating any airborne viruses.

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Modelling and prevention of meshing interference in gear skiving of internal gears

Forschung im Ingenieurwesen ◽

10.1007/s10010-021-00520-8 ◽

2021 ◽

Author(s):

Andreas Hilligardt ◽

Jan Klose ◽

Michael Gerstenmeyer ◽

Volker Schulze

Keyword(s):

Process Design ◽

Geometrical Model ◽

Tool Design ◽

Process Models ◽

Practical Applications ◽

Cad Simulation ◽

Productive Process ◽

Tool Shank ◽

Clearance Face ◽

User Friendly

AbstractGear skiving is a highly productive process for machining of internal gears which are required in large quantity for electric mobility transmissions. Due to the complex kinematics of gear skiving, collisions of the tool and workpiece can occur during the process. Models exist to check for collisions of the tool shank or collisions in the tool run-out. While these models are sufficient for the process design of external gear skiving, at internal gears meshing interferences between tool and workpiece can appear outside the contact plane on the clearance face of the tool. To test for meshing interference requires comprehensive assessment of workpiece, tool and process kinematics. Currently, this is often done by time consuming CAD-simulation. In contrast, this paper presents an automated geometrical model for the analysis of meshing interference. The test for collisions is thereby performed along the whole height of the tool and especially includes constructive clearance angles and eccentric tool positions. The model is developed for user-friendly implementation and practical applications. The model for avoiding meshing interference in gear skiving is validated on two different process applications. In doing so, influences of the tool and process design on the interference situation are investigated, compared and discussed. Furthermore this new approach enables the prevention of meshing interference or tooth tip collisions in the early tool design by adjusting the process kinematics or the tool design itself. The maximal viable tool height can be quantified and recommendations for improving the clearance face situation are suggested.

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