Six factor formula
Formula used to calculate nuclear chain reaction growth rate
title: "Six factor formula" type: doc version: 1 created: 2026-02-28 author: "Wikipedia contributors" status: active scope: public tags: ["nuclear-technology", "radioactivity"] description: "Formula used to calculate nuclear chain reaction growth rate" topic_path: "general/nuclear-technology" source: "https://en.wikipedia.org/wiki/Six_factor_formula" license: "CC BY-SA 4.0" wikipedia_page_id: 0 wikipedia_revision_id: 0
::summary Formula used to calculate nuclear chain reaction growth rate ::
The six-factor formula is used in nuclear engineering to determine the multiplication of a nuclear chain reaction in a non-infinite medium.
::data[format=table title="Six-factor formula: k = \eta f p \varepsilon P_{FNL} P_{TNL} = k_{\infty} P_{FNL} P_{TNL}{{cite book |last=Duderstadt |first=James |author2=Hamilton, Louis |title=Nuclear Reactor Analysis |year=1976 |publisher=John Wiley & Sons, Inc |isbn=0-471-22363-8 }}"]
| Symbol | Name | Meaning | Formula | Typical thermal reactor value |
|---|---|---|---|---|
| \eta | Thermal fission factor (eta) | \eta = \frac{\nu \sigma_f^F}{\sigma_a^F} = \frac{\nu \Sigma_f^F}{\Sigma_a^F} | 1.65 | |
| f | Thermal utilization factor | f = \frac{\Sigma_a^F}{\Sigma_a} | 0.71 | |
| p | Resonance escape probability | p \approx \mathrm{exp} \left( -\frac{\sum\limits_{i=1}^{N} N_i I_{r,A,i}}{\left( \overline{\xi} \Sigma_p \right)_{mod}} \right) | 0.87 | |
| \varepsilon | Fast fission factor (epsilon) | \varepsilon \approx 1 + \frac{1-p}{p}\frac{u_f \nu_f P_{FAF}}{f \nu_t P_{TAF} P_{TNL}} | 1.02 | |
| P_{FNL} | Fast non-leakage probability | P_{FNL} \approx \mathrm{exp} \left( -{B_g}^2 \tau_{th} \right) | 0.97 | |
| P_{TNL} | Thermal non-leakage probability | P_{TNL} \approx \frac{1}{1+{L_{th}}^2 {B_g}^2} | 0.99 | |
| :: |
The symbols are defined as:
- \nu, \nu_f and \nu_t are the average number of neutrons produced per fission in the medium (2.43 for uranium-235).
- \sigma_f^F and \sigma_a^F are the microscopic fission and absorption cross sections for fuel, respectively.
- \Sigma_a^F and \Sigma_a are the macroscopic absorption cross sections in fuel and in total, respectively.
- \Sigma_f^F is the macroscopic fission cross-section.
- N_i is the number density of atoms of a specific nuclide.
- I_{r,A,i} is the resonance integral for absorption of a specific nuclide.
- I_{r,A,i} = \int_{E_{th}}^{E_0} dE' \frac{\Sigma_p^{mod}}{\Sigma_t(E')} \frac{\sigma_a^i(E')}{E'}
- \overline{\xi} is the average lethargy gain per scattering event.
- Lethargy is defined as decrease in neutron energy.
- u_f (fast utilization) is the probability that a fast neutron is absorbed in fuel.
- P_{FAF} is the probability that a fast neutron absorption in fuel causes fission.
- P_{TAF} is the probability that a thermal neutron absorption in fuel causes fission.
- {B_g}^2 is the geometric buckling.
- {L_{th}}^2 is the diffusion length of thermal neutrons.
- {L_{th}}^2 = \frac{D}{\Sigma_{a,th}}, where D is the diffusion coefficient.
- \tau_{th} is the age to thermal.
- \tau = \int_{E_{th}}^{E'} dE* \frac{1}{E*} \frac{D(E*)}{\overline{\xi} \left[ D(E*) {B_g}^2 + \Sigma_t(E') \right]}
- \tau_{th} is the evaluation of \tau where E' is the energy of the neutron at birth.
Multiplication
The multiplication factor, k, is defined as (see nuclear chain reaction): :
- If k is greater than 1, the chain reaction is supercritical, and the neutron population will grow exponentially.
- If k is less than 1, the chain reaction is subcritical, and the neutron population will exponentially decay.
- If , the chain reaction is critical and the neutron population will remain constant.
References
References
- Duderstadt, James. (1976). "Nuclear Reactor Analysis". John Wiley & Sons, Inc.
- Adams, Marvin L.. (2009). "Introduction to Nuclear Reactor Theory". Texas A&M University.
::callout[type=info title="Wikipedia Source"] This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page. ::