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dc.contributor.authorA. Mejri
dc.contributor.authorK. Farah
dc.contributor.authorEleuch, Hichem
dc.contributor.author
dc.date.accessioned2018-03-27T07:32:47Z
dc.date.available2018-03-27T07:32:47Z
dc.date.issued2015-01-25
dc.identifier.issnOnline 0974-9853
dc.identifier.issnPrint 0970-3950
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/846
dc.descriptionMejri, A., Farah, K., Hosni, F., Hamzaoui, A. H., & Eleuch, H. (2015). An empirical model for predicting Harwell dose variation during gamma process interruption using experimental design. MAPAN, 30(2), 85-90.en_US
dc.description.abstractDuring routine dosimetry for radiation processing applications, process interruption is widely encountered; in this case dosimeters may receive their target dose in two or more absorbed-dose increments. Some interruptions may be planned, for example double side irradiations may be used to improve dose distribution. Other interruptions may be the result of unplanned irradiator shutdowns. In this case, dosimeters may be exposed to outside factors, such as temperature, without exposure to ionizing radiation. The responses of these dosimeters are usually influenced because the conditions in irradiation facilities may differ considerably from the conditions in which the dosimeters were calibrated. These differences may lead to expected systematic errors in dose estimation. An original approach is proposed in this work in order to simulate a process interruption within limits and quantify the effects of a combination of factors on dosimeter response using complete factorial design 2n. We present an in-depth experimental study on the response of dosimeters that have been irradiated, stored for a fixed period of time at several temperatures, and then re-irradiated. This study was performed using Harwell Red Perspex dosimeter type 4035en_US
dc.language.isodeen_US
dc.publisherSpringeren_US
dc.subjectDosimeteren_US
dc.subjectFractional doseen_US
dc.subjectExperimental designen_US
dc.subjectHarwell Red Perspexen_US
dc.subjectModelingen_US
dc.titleAn Empirical Model for Predicting Harwell Dose Variation Duringen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1007/s12647-014-0129-6


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