Nondestructive　and　quantitative　evaluation　of　yield　strength　(Rp0.　2)　and　tensile　strength　(Rm)　of　Cr12MoV　steel　and　3Cr13　steel　were　investigated　based　on　micro-magnetic　method.　First,　quenching　followed　by　tempering　process　was　performed　to　change　the　tensile　mechanical　properties　of　specimens.　Second,　the　micro-magnetic　feature　parameters　and　the　yield/　tensile　strength　of　the　two　types　of　carbon　steels　were　measured　successively.　Afterwards,　Grabbs　criterion　and　ReliefF　correlation　analysis　were　used　to　eliminate　the　system　error　and　obtain　the　micro-magnetic　characteristics　that　were　sensitive　to　the　yield/　tensile　strength.　Finally,　the　BP　neural　network　prediction　models　were　established　by　optimizing　the　neural　network　model,　which　could　realize　quantitative　characterization　of　yield　strength　and　tensile　strength　of　Cr12MoV　steel　and　3Cr13　steel.　The　findings　show　that　micro-magnetic　testing　method　can　be　used　for　nondestructive　quantitative　prediction　of　yield　strength　and　tensile　strength　of　Cr12MoV　steel　and　3Cr13　steel.　The　average　errors　of　the　models　in　predicting　the　yield　strength　and　tensile　strength　were　less　than　3%　and　5%,　respectively.　The　proposed　research　methods　and　conclusions　can　provide　a　reference　for　the　micro-magnetic　nondestructive　testing　of　the　yield　strength　and　tensile　strength　of　ferromagnetic　materials.　©　2025　Beijing　University　of　Technology.　All　rights　reserved.