4D printing method and product of functionally graded copper-based shape memory alloy smart components

A technology of memory alloy and functional gradient, which is applied in the 4D printing method and product field of functionally gradient copper-based shape memory alloy intelligent components, can solve the problems of difficult to achieve precise control of local positions, cumbersome operation steps, and restrictions on the complexity of parts, and achieve The effect of smooth surface, convenient preparation process and strong adaptability

Active Publication Date: 2020-06-09
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 and product of functionally graded copper-based shape memory alloy smart components
  • 4D printing method and product of functionally graded copper-based shape memory alloy smart components
  • 4D printing method and product of functionally graded copper-based shape memory alloy smart components

Examples

Experimental program
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Effect test

Embodiment 1

[0043] 1) Using 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 shown 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 overall length of the intelligent component.

[0044] 2) Convert the 3D model into STL file format, use the 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 require...

Embodiment 2

[0050] 1) Using 3D modeling software to design such as figure 2 The shown three-dimensional model of a copper-based shape memory alloy smart component with functional gradients divides the components according to the required deformation and function of each part of the smart 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 overall length of the intelligent component.

[0051] 2) Convert the 3D model into STL file format, use the 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 .

[0052] 3) The dried Cu-32Zn-6Al powder is fed into the powder feeding device of the SLM forming ...

Embodiment 3

[0057] 1) Using 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 shown is divided into regions according to the application requirements of each part of the component. 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 overall length of the intelligent component.

[0058]2) Convert the 3D model into STL file format, use the 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 .

[0059] 3) The dried Cu-34Zn-5Al powder is fed into the powder feeding device of the SLM forming equipmen...

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Abstract

The invention belongs to the field of 4D printing and manufacturing, and specifically discloses a 4D printing method and product of a functionally gradient copper-based shape memory alloy intelligent component. The method includes: dividing the three-dimensional model of the intelligent component according to the required deformation amount and function in the application, setting the printing parameters of the large deformation recovery area, small deformation recovery area and bearing area, and using copper The base memory alloy powder is used as the raw material, and the large deformation recovery area, the small deformation recovery area and the bearing area are respectively 4D printed to obtain functionally gradient copper-based shape memory alloy intelligent components composed of different phases. The product of the present invention is obtained by the above-mentioned 4D printing method. The present invention controls the forming process parameters and printing materials of different regions to realize the continuous change of composition, structure and superelasticity, so that each region can adapt to the required deformation and function of intelligent components in application.

Description

technical field [0001] The invention belongs to the field of 4D printing and manufacturing, and more particularly, relates to a 4D printing method and product of a functionally graded copper-based shape memory alloy smart component. Background technique [0002] Shape memory alloys are widely used in pipe joints, actuators, orthotics and other devices due to their shape memory properties, superelasticity and high damping. 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 have poor processability. The Cu-based shape memory alloy has similar shape memory performance to the NiTi-based shape memory alloy, and has low cost, wide raw material sources and good processing performance. [0003] In the actual use of shape memory alloy parts, different parts of the components have...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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