The specific absorption rates (SAR) determined computationally in the specific anthropomorphic mannequin (SAM) and anatomically correct models of the human head when exposed to a mobile phone model are compared as part of a study organized by IEEE Standards Coordinating Committee 34, SubCommittee 2, and Working Group 2, and carried out by an international task force comprising 14 government, academic, and industrial research institutions. The detailed study protocol defined the computational head and mobile phone models. The participants used different finite-difference time-domain software and independently positioned the mobile phone and head models in accordance with the protocol. The results show that when the pinna SAR is calculated separately from the head SAR, SAM produced a higher SAR in the head than the anatomically correct head models. Also the larger (adult) head produced a statistically significant higher peak SAR for both the 1- and 10-g averages than did the smaller (child) head for all conditions of frequency and position.
The recent international inter-laboratory study conducted by IEEE TC34, SC2, WG2 to develop the IEEE 1528.3 standard for computational compliance assessment of cell phone exposure is presented. Thirteen laboratories participated in this project with the goal to model and evaluate exposure from CAD based cell phone models using the Specific Anthropomorphic Mannequin (SAM) and exposure configurations developed for IEEE Std 1528-2003. The main objective was to test the feasibility of the CAD based computational SAR evaluation using the CAD models of cell phones, and to determine the practicality of the protocol which specifies the steps and procedures to be included in the IEEE 1528.3 standard. The available results at time of conference will be presented and discussed.The use of technical computer aided design (TCAD) has gained increasing interest, mainly due to rapidly growing computational power and advancements in computer simulation tools and numerical methods. These tools have reached a level of maturity that allows their use in compliance assessments of professional and consumer wireless communication devices. The state of the art in this area helped to facilitate the activity of IEEE 1528 part II which was initiated on Jan 2006 as the continuation of IEEE TC34,_SC2_1529. As part of the IEEE TC34,_SC2 WG2, 1528.3 activity, the working group has decided to carry out by its members the SAR computational inter-laboratory study for CAD phone modelsThe participating labs have received three CAD phone models from Nokia, Sony Ericsson and Motorola. All models were simplified to some extent to reduce unnecessary complexity,. A description was prepared by the phone model provider for the CAD parts, the material parameters, operating frequency, matching components and possible simplifications that were made in the CAD model. The CAD model provider made sure that the CAD model is verified and it corresponds to the electrical representation of the real phone.The objective of the study was to carry out CAD based mobile phone computational studies using the SAM (Specific Anthropomorphic Mannequin) phantom developed for IEEE Standard 1528-2003. The main objective was to test the feasibility of the CAD based computational SAR evaluation based on CAD models of the phones, as well as to determine the practicality of the protocol which specifies the steps and procedures to be included in the standard.There were 13 laboratories involved in inter-laboratory CAD-phone computational study II. METHODS
Head phantomThe CAD model of the SAM head phantom was employed in this computational study. The 2 mm shell of the SAM was simulated as dielectric material with dielectric constant İ r = 3.7 and conductivity ı = 0.0016 S/m. The properties of the homogeneous tissue simulant liquid enclosed by the shell were set according to the target values from Table 1. The SAM CAD model in SAT format has been made available for download from the IEEE TC34 SC2 website. Table 1: Electrical properties of the tissue simulant liquid.
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