Abstract:In recent years, with the development of digital and intelligent technologies, realizing unmanned operations in the non-ferrous metal smelting industry has become a future trend, and automatic zinc stripping machines are the key equipment for realizing unmanned operations in wet zinc smelting. In view of the problem that the poor peeling effect of the automatic zinc peeler directly leads to low zinc peeling operation efficiency and low output, based on the 32 large plate automatic zinc peeler peeler peeling equipment, this paper conducts in-depth analysis of various factors influencing the peeling effect during the peeling process, proposes the secondary orthogonal regression test analysis method, and selects the stripping tool stroke as the design parameter, the angle of the peeling tool, the width of the peeling tool, the thickness of the peeling zinc skin, and the bonding strength of the zinc skin bonding layer as the main influencing factors. The influence of each factor on the peeling effect was analyzed and studied, and the functional mapping relationship between the four factors and the stripping load and the stripping tool stroke was obtained, providing a theoretical basis for improving the peeling success rate of the zinc peeling machine, and has broad engineering application prospects and practical application value.