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4D printing method of functional gradient copper-based shape memory alloy intelligent component, and product

A technology of memory alloy and functional gradient, which is applied in the direction of improving energy efficiency, additive manufacturing, and process efficiency. It can solve the problems of limited complexity of parts, difficulty in achieving precise control of local positions, and cumbersome operation steps, and achieve strong adaptability. , smooth surface and convenient preparation process

Active Publication Date: 2019-11-12
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The powder metallurgy method is the most widely used method and the operation is relatively simple, but the complexity of the parts that the powder metallurgy method can manufacture is limited by the shape of the mold
However, the plasma spraying and magnetron sputtering methods can only prepare functionally gradient coatings with a small thickness. The steps of the gradient heat treatment process are relatively cumbersome, and it is difficult to achieve precise control of local positions.

Method used

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  • 4D printing method of functional gradient copper-based shape memory alloy intelligent component, and product
  • 4D printing method of functional gradient copper-based shape memory alloy intelligent component, and product
  • 4D printing method of functional gradient copper-based shape memory alloy intelligent component, and product

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] 1) Use 3D modeling software to design such as figure 2 The three-dimensional model of the copper-based shape memory alloy smart component with functional gradient shown in the figure is divided into regions according to the application requirements of each part of the component. figure 2 Among them, 1 is the large deformation recovery area, 2 is the small deformation recovery area, and 3 is the bearing area. The length of the large deformation recovery area 1 is 40% of the overall length of the intelligent component, the length of the small deformation recovery area 2 is 30% of the overall length of the intelligent component, and the length of the bearing area 3 is 30% of the entire length of the intelligent component.

[0045] 2) Convert the 3D model into STL file format, use computer to identify different areas, use slicing software to slice each area in the computer, and input different forming process parameters in the SLM forming equipment according to the requir...

Embodiment 2

[0051] 1) Use 3D modeling software to design such as figure 2 The three-dimensional model of copper-based shape memory alloy intelligent component with functional gradient shown in the figure is divided into regions according to the required deformation and function of each part of the intelligent component. The length of the large deformation recovery area 1 is 30% of the overall length of the intelligent component, the length of the small deformation recovery area 2 is 50% of the overall length of the intelligent component, and the length of the bearing area 3 is 20% of the entire length of the intelligent component.

[0052] 2) Convert the 3D model into STL file format, use computer to identify different areas, use slicing software to slice each area in the computer, and input different forming process parameters in the SLM forming equipment according to the requirements of different areas .

[0053] 3) Send the dried Cu-32Zn-6Al powder into the powder feeding device of t...

Embodiment 3

[0058] 1) Use 3D modeling software to design such as figure 2 The three-dimensional model of the copper-based shape memory alloy intelligent component with functional gradient is shown, and the component is divided into regions according to the application requirements of each part of the component. Wherein the length of the large deformation recovery area 1 is 50% of the overall length of the intelligent component, the length of the small deformation recovery area 2 is 20% of the overall length of the intelligent component, and the length of the bearing area 3 is 30% of the entire length of the intelligent component.

[0059]2) Convert the 3D model into STL file format, use computer to identify different areas, use slicing software to slice each area in the computer, and input different forming process parameters in the SLM forming equipment according to the requirements of different areas .

[0060] 3) Send the dried Cu-34Zn-5Al powder into the powder feeding device of the...

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Abstract

The invention belongs to the field of 4D printing manufacturing, and particularly discloses a 4D printing method of a functional gradient copper-based shape memory alloy intelligent component and a product. The method comprises the following steps: dividing a three-dimensional model of the intelligent component according to the required deformation amount and function in application, setting printing parameters of a large-deformation recovery area, a small-deformation recovery area and a bearing area, and printing the large-deformation recovery area, the small-deformation recovery area and thebearing area by taking copper-based memory alloy powder as a raw material in a 4D mode respectively so as to obtain the functional gradient copper-based shape memory alloy intelligent component composed of different phases. The product is obtained by adopting the 4D printing method. According to the 4D printing method of the functional gradient copper-based shape memory alloy intelligent component and the product, through controlling the forming process parameters and printing materials of different areas, continuous variation of components, structure and super-elastic energy is realized, sothat each area can adapt to the required deformation amount and function of the intelligent component in application.

Description

technical field [0001] The invention belongs to the field of 4D printing and manufacturing, and more specifically relates to a 4D printing method and product of functionally gradient copper-based shape memory alloy intelligent components. Background technique [0002] Shape memory alloys are widely used in pipe joints, drivers, orthotics and other devices due to their shape memory properties, superelasticity, and high damping properties. Currently, the most widely used shape memory alloys include NiTi-based shape memory alloys and Cu-based shape memory alloys. NiTi-based shape memory alloys have good shape memory properties, biocompatibility, and corrosion resistance, but are expensive and poor in processability. Cu-based shape memory alloys have shape memory properties similar to those of NiTi-based shape memory alloys, with low cost, wide sources of raw materials, and good processability. [0003] During the actual use of shape memory alloy parts, different parts of the ...

Claims

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Application Information

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IPC IPC(8): B22F3/105B33Y10/00B33Y80/00C22C9/04
CPCC22C9/04B33Y10/00B33Y80/00B22F10/00B22F10/80B22F10/36B22F10/38B22F10/32B22F10/28Y02P10/25
Inventor 宋波卓林蓉史玉升
Owner HUAZHONG UNIV OF SCI & TECH
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