Experimental and Numerical Near-Field Evaluation of RF Transmitters

Pokovic, K.; Burkhardt, Michael; Schmid, Thomas; Kuster, Niels

doi:10.1007/978-94-011-4191-8_20

Cited by 2 publications

(1 citation statement)

References 57 publications

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“…In the study an experimental validation was also performed with a temperature probe, but there was a significant deviation between the calculated and the measured results, especially in the centre of the dish. On the contrary, in an additional experimental validation performed by the same group and using a novel E-field probe designed for this kind of applications with a sensor size of only 1 mm (Poković et al 1997), the obtained data almost perfectly matched the numerical results. In the context of the present study, it was interesting to evaluate the error that is introduced by heat conduction when using a temperature probe to assess the SAR.…”

Section: Example I: Petri Dishsupporting

confidence: 57%

Electromagnetic and heat transfer computations for non-ionizing radiation dosimetry

Samaras¹,

Regli

Kuster

2000

Phys. Med. Biol.

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Reliable information on the heat distribution inside biological tissues is essential for the planning and optimization of experiments which aim to study the effects of non-ionizing radiation (NIR). In electrodynamics, the finite-difference time-domain (FDTD) technique has become the dominant technique for radiofrequency dosimetry. In order to obtain the electromagnetic field and heat distributions within the same simulation run without changing discretization, a heat diffusion solver has been directly integrated into an advanced electrodynamic FDTD kernel. The implementation enables both coupled and sequential simulations. It also includes the ability to work with complex bodies and to accelerate heat diffusion. This paper emphasizes the importance of this combination in the field of NIR dosimetry. Two examples from this area are given: the validation of dosimetry with temperature probes and the estimation of the highest thermal load during bioexperiments.

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Section: Example I: Petri Dishsupporting

confidence: 57%

Electromagnetic and heat transfer computations for non-ionizing radiation dosimetry

Samaras¹,

Regli

Kuster

2000

Phys. Med. Biol.

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Mathematical Modeling of EMF Energy Absorption in Biological Systems

Gajšek¹,

D'Andrea²,

Mason³

et al. 2003

Biological Effects of Electromagnetic Fields

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3D shapes. For the comparison of these three methods however, the homogeneous head model is used in all cases.In section 3.4, the Specific Absorption Rate (SAR), which is a quantitative measure of the election field energy deposited in the human tissue, is estimated P. Stavroulakis (ed.), Biological Effects of Electromagnetic Fields © Springer-Verlag Berlin Heidelberg 2003 3.2 Mathematical Modeling Using Experimental and Theoretical Methods ... 1243 Mathematical Modeling of EMF Energy Absorption in Biological Systems the wave transmitted into the object attenuates as it travels and transfers energy to the object. The more lossy the object, the more rapidly the wave attenuates. This characteristic is described by skin depth: the depth at which the Eand H-fields have decayed to e-1 (0.368) of their value at the surface of the object. Skin depth is also the depth at which the Poynting vector has decayed to e-2 (0.135) of its value at the surface. At higher frequencies, the skin depth is very small; thus most of the energy from the fields is absorbed near the surface. For example, for biological material at 2450 MHz the skin depth is about 2 cm; at 10 GHz, it is about 0.4 cm.Other models--spheres, cylinders, prolate spheroids, block models (cubical mathematical cells arranged in a shape like a human body)--have been used to represent the human body in calculating and measuring energy absorbed during plane wave irradiation [61], [57]. The internal E-and H-fields are functions of the incident fields, the frequency, the permittivity, and the size and shape of the object. Especially important for non planar objects are the effects of the polarization of the incident fields.

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Experimental and Numerical Near-Field Evaluation of RF Transmitters

Cited by 2 publications

References 57 publications

Electromagnetic and heat transfer computations for non-ionizing radiation dosimetry

Electromagnetic and heat transfer computations for non-ionizing radiation dosimetry

Mathematical Modeling of EMF Energy Absorption in Biological Systems

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