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Method for predicating regulation and control of low-melting-point elements on mechanical properties of soldering joint

A brazing joint and low melting point technology, which is applied in the field of predicting the mechanical properties of brazing joints controlled by low melting point elements, can solve the problems of predicting changes in joint performance, low accuracy of strengthening curves, and low efficiency, and achieve numerical calculation accuracy High, reduce the test workload, improve the effect of work efficiency

Active Publication Date: 2017-12-15
NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

CN201510056491.6, with the help of fusion ratio, energy asymmetric distribution rate, and ultimate tensile strength, a mathematical model for the mechanical properties of heterogeneous laser welding joints is established, which is the connection of nickel-based alloy / 304 austenitic stainless steel and the selection of energy asymmetric distribution rate Provides a feasible method, but requires multiple accuracy checks, optimization calculation of energy asymmetric distribution rate, huge data and low efficiency
CN201010173763.8 discloses a method for predicting the mechanical properties of Q345 welded joints based on artificial neural networks. With the help of welding current, voltage, welding speed and tensile strength, yield strength, reduction of area and elongation data, the welding process parameters and The mapping relationship between the mechanical properties of the joints, using the artificial neural network model to predict the mechanical properties of the welded joints, the disadvantage of this method is that the sample data is different, the neural network model is different, the joint performance prediction will change, and the limitation is relatively large
CN201611178243.X draws the brazing seam strengthening curve through the procedures and test data such as brazing bar stock, homogeneous bar stock, tensile test, base metal and brazing seam elastic modulus measurement. The disadvantage of this method is that there are many test data and the strengthening The accuracy of the curve drawing is not high, which affects the accuracy of the prediction of the mechanical properties of the brazing joint

Method used

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  • Method for predicating regulation and control of low-melting-point elements on mechanical properties of soldering joint
  • Method for predicating regulation and control of low-melting-point elements on mechanical properties of soldering joint
  • Method for predicating regulation and control of low-melting-point elements on mechanical properties of soldering joint

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Embodiment 1: A method for predicting the mechanical properties of Sn element regulating brazing joints (silver solder, AgCuZnSn, Sn content is less than 6.5%; induction brazing, brazing temperature 805 ~ 825 ° C, time 48 ~ 50s), which includes The following steps:

[0029] Step 1: Determine the type of brazing filler metal and base metal material used for brazing joints;

[0030] Step 2: adopt XRF-1800 type X-ray fluorescence spectrometer (XRF) to measure the content W of Sn element in solder M % (mass fraction)

[0031] Step 3: Use STA449F3 Thermal Analyzer (DSC) to determine the silver solder melting temperature range ΔT M ;

[0032] Step 4: The content W of different low melting point elements in step 2 M %Expand 100 times and the melting temperature interval data of step 3 ΔT M Substitute into the forecasting mathematical model S J .

[0033]

[0034] Since only one element Sn is contained in the solder, n=1.

[0035] Step 5: Determine the influence of S...

Embodiment 2

[0039] Example 2: A method for predicting the mechanical properties of In elements to regulate the brazing joint (silver solder, AgCuZnIn, In content less than 5%; induction brazing, brazing temperature 805-820°C, time 48s), its steps and implementation Example 1 is the same.

[0040] In order to verify the accuracy of the prediction method of the present invention, the AgCuZnIn brazing filler metal of 215mg is the 316 stainless steel of solder, 60mm * 25mm * 2.5mm as the base material, and utilizes GP-35 induction heating equipment to heat, insulate and heat the solder and the base material. Cooling; then the MTS universal electronic tensile testing machine tests the tensile strength of the joint (with σ b Express), compare with the prediction calculation result of the present invention. The specific data are shown in Table 2 below:

[0041]

[0042] According to Table 2, with the increase of In content, S J The value gradually decreases, indicating that the tensile str...

Embodiment 3

[0043] Embodiment 3: A method for predicting the mechanical properties of Ga element regulation and control brazing joints (silver solder, AgCuZnGa, Ga content is less than 6%; Induction brazing, brazing temperature 805 ~ 825 ℃, time 45 ~ 49s) method, its steps Same as Example 1.

[0044]In order to verify the accuracy of the prediction method of the present invention, with the AgCuZnGa solder of 220mg as solder, the H62 brass of 60mm * 25mm * 2.5mm is base material, utilizes GP-35 induction heating equipment to solder, base material to be heated, Insulation and cooling; then MTS universal electronic tensile testing machine tests the tensile strength of the joint (with σ b Express), compare with the prediction calculation result of the present invention. The specific data are shown in Table 3 below:

[0045]

[0046] According to Table 3, with the increase of Ga content, S J The value decreases first and then increases, indicating that the tensile strength of the joint i...

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Abstract

The invention discloses a method for predicating regulation and control of low-melting-point elements on mechanical properties of a soldering joint. The method comprises the following steps: step 1: determining materials of solder and parent metal which are used for the soldering joint; step 2: determining the content WM percent (mass percent) of each low-melting-point element in the solder; step 3: determining a melting temperature interval deltaTM of the solder; step 4: amplifying the content WM percent of the different low-melting-point elements in step 2 for 100 times and substituting melting temperature interval data deltaTM of step 3 into a predicated mathematical model SJ; step 5: judging the mechanical properties of the soldering joint according to numerical values in step 4, wherein when the numerical value is smaller, the mechanical properties of the soldering joint are better; conversely, the mechanical properties are worse. According to the method disclosed by the invention, the melting temperature interval of the solder, the content of the low-melting-point elements and the mathematical model are combined so that the regulation and control of the low-melting-point elements on the mechanical properties of the soldering joint can be rapidly, efficiently and accurately predicated.

Description

Technical field: [0001] The invention belongs to the field of performance evaluation of brazed joints, in particular to a method for predicting the mechanical properties of brazed joints regulated by low melting point elements. Background technique: [0002] As an important index for evaluating brazing process and application, the mechanical properties of solder joints directly affect the use of solder, the quality and performance of brazing joints, and further affect the service life and reliability of brazing parts. Therefore, the mechanical properties of brazed joints are one of the key issues in evaluating the usability of solder. [0003] Low melting point elements (melting point lower than 350°C) have the beneficial effect of reducing the melting temperature of the solder and improving the wettability of the solder. For hard solder (melting point higher than 450°C), adding a certain amount of low melting point elements, It can effectively improve the seam filling abil...

Claims

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Application Information

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IPC IPC(8): G01N33/20G01N23/223G01N25/20G06F17/50
CPCG01N23/223G01N25/20G01N33/20G06F30/20G06F2119/06
Inventor 王星星彭进薛鹏崔大田孙国元
Owner NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
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