Füzyon Reaktörü Yapısal Malzemelerinde Kullanılan Bazı Elementler için Proton Girişli Reaksiyonlarda 3He Yayınlanma Spektrumlarının İncelenmesi

Reaksiyon tesir kesiti bir nükleer reaksiyonun gerçekleşme ihtimalini ifade eder. Hızlandırıcılar, güç santralleri, fisyon ve füzyon reaktörleri gibi nükleer tesislerde güvenliğin sağlanabilmesi için kullanılan malzeme ile parçacıklar arasındaki gerçekleşebilecek tüm etkileşimlerin göz önüne alınması gerekmektedir. Tesir kesiti verileri; radyoizotop üretimi, zırhlama ve malzeme geliştirme çalışmaları olmak üzere geniş bir alanda kullanılmaktadır. Bu yüzden, bir reaksiyonun tesir kesiti verilerinin ve reaksiyon sonucu açığa çıkan parçacıkların enerji spektrumlarının deneysel ve teorik yöntemlerle araştırılması gerekmektedir. Bu çalışmada, tek enerjili protonlarla bombardıman edilen füzyon reaktörü yapısal elementleri 27Al, 56Fe, 58Ni ve 90Zr için, 3He enerji spektrumları teorik modeller ile incelenmiştir. Elde edilen sonuçlar deneysel verilerle karşılaştırılarak analiz edilmiştir. 

Investigation of 3He Emission Spectra in Proton Induced Reactions for Some Elements Used in Fusion Reactor Structural Materials

Reaction cross section refers to the possibility of a nuclear reaction’s occurrence. All possible interactions between the used material and the particles needed to be considered in nuclear facilities such as accelerators, power plants, fission and fusion reactors for providing the security. Cross section data have been using in a wide range of area including radioisotope production, shielding and material development works. Therefore, the cross section data of a reaction and the energy spectra of outgoing particles as a result of that reaction must be investigated with experimental and theoretical methods. In this study, the 3He energy spectra of the fusion reactors structural elements 27Al, 56Fe, 58Ni and 90Zr, which were bombarded with single energetic protons, were investigated by theoretical models. The obtained results were analyzed by comparing with the experimental data.

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