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An Optimal Method for Prediction Function of Failure Strength of Butt and Shear Bonded Joints

A bonded joint and strength prediction technology, applied to measuring devices, complex mathematical operations, instruments, etc., can solve problems such as difficulty in accurate testing, inconsistent measurement methods, and insufficient theoretical analysis of measurement standards

Active Publication Date: 2021-03-09
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the current measurement methods for fracture energy are not unified, and it is difficult to measure accurately, and the relevant measurement standards are not rigorous enough in theoretical analysis.

Method used

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  • An Optimal Method for Prediction Function of Failure Strength of Butt and Shear Bonded Joints
  • An Optimal Method for Prediction Function of Failure Strength of Butt and Shear Bonded Joints
  • An Optimal Method for Prediction Function of Failure Strength of Butt and Shear Bonded Joints

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0074] Step 1: Fabricate butt joints and shear bonded joints. In order to simulate the aging conditions of the bonded structure during the service of the automobile, the accelerated aging test is carried out on the two joints under the coupling condition of damp heat / alternating load, and the wet / heat At the same time, the bonded specimens were artificially accelerated aging by the three influencing factors of load / load, and each aging cycle was selected at equal intervals of z days.

[0075] The production process of butt joint and shear bonded joint specimen is as follows:

[0076] The dimension diagram of the designed CFRP / aluminum alloy butt joint and shear bonded joint is as follows: image 3 shown. Both sides of the CFRP laminate are connected with two aluminum alloy test bars by adhesive, and the overall size of the joint is 204.4×25×25mm 3 , where the bonding area is 25×25mm 2 , the thickness of the adhesive layer on both sides of CFRP is 0.2 mm. The dimensions of ...

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Abstract

The invention discloses a method for optimizing the failure strength prediction function of butt joints and shear bonded joints to make CFRP / aluminum alloy butt joints and shear bonded joints; Change law curve; obtain the change law curve of the average absorbance of each functional group with aging time; filter out the characteristic functional groups through correlation analysis; finally obtain the docking, shearing and Failure strength prediction function for shear-bonded joints. The invention also discloses a calculation method of the normal and tangential degeneration factor functions of the butt joint and the shear bonding joint. The invention also discloses a calculation method of the secondary stress failure criterion after 30 days of failure and aging of the butt joint and the shear bonding joint.

Description

technical field [0001] The invention relates to the field of structural design of dissimilar materials in car bodies, and invents a method for optimizing the failure strength prediction function of butt joints and shear bonded joints. Background technique [0002] In recent years, with the continuous expansion of the scale of the automobile industry, the problems of energy consumption and environmental pollution have become increasingly serious. The realization of automobile lightweight through the mixed use of multiple materials is one of the effective ways to solve the current problems. Materials such as CFRP (Carbon Fiber Reinforced Plastic), aluminum alloys, magnesium alloys, and high-strength steels are increasingly used in the automotive industry due to their good lightweight effects. Realizing the effective connection between different materials is one of the key technologies in the design of multi-material automotive structures. [0003] At present, most studies ha...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N19/04G06F17/15
CPCG01N19/04G06F17/15
Inventor 李锋徐千卉那景新慕文龙谭伟王广彬冯耀娄菲陈宏利孟欢
Owner JILIN UNIV