Light thin plate glue-containing rolling forming coupling modeling and quality prediction method

Abstract

The invention relates to a numerical modeling and quality prediction method capable of quantifying the influence of an adhesive on rolling forming of a light thin plate, which is beneficial to improving the manufacturing precision and quality of a light door cover part and providing a reference basis for improving and optimizing rolling and pressing process parameters. First, material properties of the adhesive and the lightweight sheet are determined. Then, establishing a geometric model of the adhesive-light thin plate, simulating the adhesive by adopting a meshless smooth particle method SPH, simulating the light thin plate by adopting a finite element method FEM, and establishing a fluid-solid coupling model of the SPH-FEM; and finally, under boundary and load constraint conditions, finishing rolling process simulation and quality prediction of the light sheet containing the adhesive. Compared with the prior art, the method has the following beneficial effects: (1) the optimizationof the constitutive model of the adhesive is facilitated; and (2) the coupling algorithm is beneficial to improving the forming prediction precision of the light thin plate. And (3) the distributionof the adhesive is favorably controlled.

Description

technical field [0001] The invention relates to the technical field of automobile thin plate forming and manufacturing, in particular to a lightweight thin plate containing rubber roller forming coupling modeling and a quality prediction method. Background technique [0002] The quality of the door cover not only determines the static perception of the vehicle, but also has an important impact on the dynamic performance NVH, reflecting the advanced level of manufacturing technology. The structural optimization of the door cover is an important part of the lightweight body. Materials used in lightweighting include high-strength steel, carbon fiber materials, aluminum alloy materials and other alloy materials. Among them, aluminum alloy has become the material of choice for lightweight body door covers due to its high weight reduction rate, high strength, good formability and no need for surface treatment. [0003] The assembly and connection of the inner and outer panels of...

AI Technical Summary

Problems solved by technology

Adhesive flows in the narrow gap between the inner and outer plates, and the influence of conventional test methods on the adhesive is difficult to measure and quantify

Since the rolling process with adhesive involves the fluid-solid coupling effect of free liquid surface movement, there are still deficiencies in the use of existing numerical algorithms, and it is difficult to build an accurate numerical prediction model. The main problems and difficulties are as follows:

[0007] (1) The Lagrangian method is efficient, but it is easy to encounter grid distortion when calculating large deformations, which eventually leads to calculation divergence

[0008] (2) The Euler method can effectively avoid the grid distortion problem, but the boundary definition of this method is not precise enough, and it is difficult to describe the free boundary motion of the material

[0009] (3) Arbitrary Lagrangian-Euler method has the advantages of both, but the calculation efficiency of this method is low, and problems such as node velocity overflow often occur

[0010] In short, the contour structure of the body door cover is complex and the forming accuracy is high. Since the rolling process with glue involves complex fluid-solid coupling problems, it is still impossible to establish an effective prediction model using traditional numerical algorithms.

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