The application discloses a
bolted joint normal contact stiffness driven
assembly preload and fractal parameter optimization method, and belongs to the field of dynamic characteristic analysis of
numerical control machine tools. The method comprises the following steps: a mapping relationship model of the normal contact stiffness of the
bolted joint, the
normal force, the fractal dimension of the
joint surface and the
surface roughness parameter is established; the normal contact stiffness under the
steady state is taken as the target, and the inflection point is defined as the optimization result of the
normal force, the fractal dimension of the
joint surface and the
surface roughness parameter; a
normal force and
assembly preload relationship model is established, and an
assembly preload optimization method considering the safety factor is proposed; a
cutting parameter and
joint surface fractal dimension and
surface roughness parameter relationship model based on a neural network is constructed, and the
cutting parameter is optimized reversely. The application not only optimizes the assembly preload and the surface characteristic parameter from the assembly dimension, but also controls the surface characteristic parameter from the manufacturing angle, and has important
engineering value for improving the normal contact stiffness of the
bolted joint and the dynamic characteristics of the whole
machine.