A high-strength, high-temperature-resistant rafm steel and its design method based on machine learning

A machine learning and design method technology, applied in the field of steel materials, can solve complex and time-consuming problems, and achieve good tensile properties and strong generalization capabilities
CN113073267BActive Publication Date: 2022-04-08HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
Publication Date
2022-04-08

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a high-strength, toughness and high-temperature resistant RAFM steel, the chemical composition of which is: C: 0.12-0.16%, Cr: 9.5-10.5%, W: 1.6-1.8%, Si: 0.48-0.52%, Mn: 0.6- 0.7%, V: 0.23~0.27%, Ta: 0.10~0.26%, Zr: 0.001~0.005%, etc.; heat treatment parameters are: normalizing temperature 1010~1050℃, normalizing time 20~55min, tempering temperature 600~720 ℃, tempering time 50 ~ 90min. The present invention also provides a machine learning-based design method for the above-mentioned steel. The RAFM steel of the present invention has a higher service temperature upper limit, and also has better tensile properties at high temperatures; at the same time, the machine learning method constructed by the present invention has strong generalization ability, and can quickly and efficiently design reasonable composition and heat treatment parameter.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of iron and steel materials, in particular to a high-strength, high-temperature-resistant RAFM steel and a design method based on machine learning. Background technique

[0002] Low-activation ferritic / martensitic (RAFM) steels developed from conventional 9Cr-1Mo steels are considered to be very promising structures for fusion reactors due to their good thermophysical, thermomechanical, and radiation resistance properties Material. As a metallic structural material, tensile properties are the most important fundamental factor in the design and application evaluation of RAFM steel. In fusion reactors, the improvement of high-temperature mechanical properties of structural materials is conducive to improving the utilization efficiency of nuclear energy. At present, the upper limit of the service temperature of RAFM steel is 550°C. In order to optimize the high temperature tensile properties of RAFM steels, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More