Ising　model　is　a　promising　tool　for　predicting　magnetic　Barkhausen　noise　(MBN)　signal　on　electromagnetic　nondestructive　evaluation　(ENDE).　However,　theoretical　prediction　of　MBN　of　composite　ferromagnetic　materials　using　Ising　model　is　seldom　reported.　In　this　study,　we　incorporate　double　Boltzmann　transition　function　with　the　exchange　coupling　efficiency　(J)　of　Ising　model　to　achieve　simulation　of　MBN　in　layered　materials.　The　transition　behavior　of　J　was　assumed　to　represent　the　changes　in　magnetic　properties　from　hard　layer　to　soft　layer.　Monte　Carlo　algorithm　is　used　to　solve　the　Ising　model　to　obtain　the　MBN　of　layered　material.　The　influence　of　the　volume　fraction　(p)　of　hard　layer　in　the　double　Boltzmann　transition　function　on　the　shape　of　MBN　profiles　was　investigated　through　both　simulation　and　experiments.　In　the　experiments,　two-layer　ferromagnetic　materials　was　laminated　using　SAE　1065　carbon　steel　films　of　different　thickness　and　a　base　strip　of　SAE　1045　carbon　steel　with　a　thickness　of　20　mm.　Both　simulation　and　experimental　results　show　that　the　MBN　peak　of　soft　layer　gradually　descends　with　the　increase　in　thickness　of　SAE　1065　(or　the　volume　fraction　of　hard　layer).　The　second-order　Gaussian　function　was　used　to　fit　the　MBN　envelop　for　extract　the　peaks　of　hard　and　soft　layers　from　both　experimental　and　simulation　results.　The　ratio　of　the　MBN　peak　of　hard　layer　to　soft　layer　demonstrates　monotonously　increasing　trend　as　the　value　of　p　increases.　Therefore,　ratio　of　the　MBN　peak　can　act　as　good　indicator　for　qualitative　characterization　of　the　changes　of　thickness　or　volume　fraction　of　hard　layer　in　two-layer　ferromagnetic　materials.