Device for testing shape memory performance of thermal response material based on bending deformation method

Abstract

The invention provides a device for testing the shape memory performance of a thermal response material based on a bending deformation method. The device comprises an experiment box, a temperature control module, a bending deformation module, a measurement module and a control and display module. A push-pull type quick clamp and a square block are arranged in the experiment box and are used for clamping and fixing a test sample; the temperature control module comprises an air heating pipe and a fan type cooler and is used for heating or cooling air in the experiment box; the bending deformation module comprises a ball screw, a crank sliding block mechanism, a spring type bent arm fixed to a crank and a stepping motor. The measurement module comprises a temperature sensor, a proximity switch and an angular displacement sensor; the control and display module comprises a computer, a controller, a data acquisition device and a calculation module. The device for testing the shape memory performance is convenient to operate, automatic testing and displaying of the shape memory performance of the thermal response material are achieved, the testing efficiency and precision are improved, and the method belongs to the field of testing of the shape memory performance of the thermal response material.

Description

technical field [0001] The invention belongs to the field of testing the shape memory performance of heat-responsive materials, in particular to a device for testing the shape-memory performance of heat-responsive materials based on a bending deformation method. Background technique [0002] With the rapid development of emerging science and technology, the performance requirements for smart materials are increasing. As one of the most widely used smart materials at present, the shape memory properties of heat-responsive shape memory materials (including polymer materials and alloy materials) have already received extensive attention and research in the industry. However, so far there is no universal automatic, rapid and accurate testing device and method for testing the shape memory properties of thermally responsive materials based on the bending deformation method. Most of the existing test devices and methods are based on the tensile deformation method to test the shape...

AI Technical Summary

Problems solved by technology

Although the principle is simple, the measurement accuracy is not enough, and it does not involve automatic measurement, real-time display, precise control, etc., which cannot meet the requirements for rapid and accurate testing of materials

A test device and method for quantitatively measuring the shape memory effect of polymer materials disclosed in Chinese patent application CN201811157989.1, the device mainly discloses a one-dimensional space deformation device based on the stretch deformation method, and a bending deformation method based The two-dimensional space deformation device, which needs to realize the bending function of a specific shape (such as "L" shape), the shape fixing function, and the test function of shape memory performance, which are not involved in the above-mentioned device patent CN201811157989.1; at the same time, it uses image The measuring instrument is a CCD camera, which collects the deformation image of the sample in real time through the high-temperature resistant quartz glass window, and converts the image information into data information through the data processing software. Although the device realizes automatic measurement, the device cost is high, and the optical system Resolution is the main factor affecting the accuracy of CCD testing. High temperature resistant quartz glass with different thickness, purity and light transmittance will cause large fluctuations in the resolution of CCD testing, and error control is required. Therefore, this device is not universal and difficult to To achieve large-scale application, the post-processing of the collected images is cumbersome, which reduces the efficiency of its testing

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