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Powder metallurgy mixed material formula modeling and control method based on multiple regression

A multiple regression equation and mixed material technology, applied in the field of powder metallurgy mixed material formulation modeling and control based on multiple regression, can solve the problems of long trial production cycle, large power consumption, and time-consuming, so as to reduce the trial production cycle and improve production efficiency , the effect of reducing production costs

Active Publication Date: 2021-10-26
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the main problems in the process of producing various precision mechanical parts by powder metallurgy sintering iron-based (or copper-based) are: the trial product adopts the empirical formula method, and the quality index (such as hardness, density, wear amount, etc.) Add mixed materials and the mass percentages of each content to the iron-based (or copper-based) powder raw materials. Under the same powder metallurgy manufacturing process (such as pressing forming, sintering process, etc.), the trial product often needs to be carried out many times to meet the product quality index. The product quality index requirements can only be met after testing and trial production, which not only results in long trial production cycle, high power consumption, high operating cost, frequent abnormal working conditions, time-consuming and laborious, and accurate quantitative design cannot be achieved
Regarding the introduction of powder metallurgy mixed material formulation modeling and control methods, there are few mentions in the prior art, and there are few literature records on the implementation methods

Method used

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  • Powder metallurgy mixed material formula modeling and control method based on multiple regression
  • Powder metallurgy mixed material formula modeling and control method based on multiple regression
  • Powder metallurgy mixed material formula modeling and control method based on multiple regression

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] This embodiment is an iron-based product, and the product of the sample is an iron-based axle sleeve, and the size is φ20mm×18mm. The purity of the iron powder used in the experiment is 99.9%, and the particle size is 75 μm. In this example, the hardness is the product quality index (dependent variable y), Select two independent variable factors that have a greater impact on the hardness index, namely, the copper mass fraction x 1 and aluminum mass fraction x 2 , other mixtures, such as carbon (C) and zinc stearate mass fraction, all remain unchanged in the formula of the previous process, and the sample is tested by Brinell hardness tester, and each sample is tested at three points, and the result is The average of three points, using L 16 (4 2 ) Orthogonal test table, that is, the orthogonal test has 4 levels and 2 factors, and 16 sample data. The hardness test is carried out on the samples. The results of the orthogonal test are shown in Table 1.

[0085] The orth...

Embodiment 2

[0118] This embodiment is a copper-based product. The product of the sample is a copper-based shaft sleeve with a size of φ22mm×20mm. Adding trace non-metal alloy elements phosphorus (P) and boron (B) to the copper base has obvious alloying effect. It is an important channel to effectively improve the wear resistance of materials at a lower cost. This example considers the influence of phosphorus (P) and boron (B) in copper-based powder metallurgy mixed powder on hardness and wear resistance, and considers the impact of sintering temperature on hardness and wear resistance. The impact of wear resistance, using P content, B content and sintering temperature as the three factors of this experiment, each factor takes 3 levels, the factor level table is shown in Table 7, using L 9 (3 3 ) Orthogonal test table, that is, the orthogonal test has 3 levels and 3 factors, and 9 sample data. The hardness and wear resistance of the samples are tested. The results of the orthogonal test ar...

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Abstract

The invention discloses a powder metallurgy mixed material formula modeling and control method based on multiple regression, which comprises the following steps of: preparing an iron-based or copper-based sintering material sample by analyzing a powder metallurgy process, carrying out an optimal selection test on a mixed material formula by adopting an orthogonal test method, and analyzing the influence of the element content of the mixed material on a product quality index; establishing a mathematical model related to the density, hardness and other quality indexes of a powder metallurgy mixed material and a product through a multiple regression analysis method, carrying out F inspection, t inspection, heteroscedasticity diagnosis and multi-collinearity diagnosis on the model, establishing an optimal model of a formula and the product quality indexes, and predicting the product quality indexes through the model; and obtaining the optimal formula of the product quality index through the model. Prediction of the product quality in the powder metallurgy machining process and intelligent optimization design of the material formula are achieved, and certain guiding significance is achieved for preparing the high-performance index, reducing the production cost, shortening the new product trial-manufacturing period and improving the production efficiency.

Description

technical field [0001] The invention belongs to the technical field related to powder metallurgy, and in particular relates to a powder metallurgy mixed material formula modeling and control method based on multiple regression. Background technique [0002] Powder metallurgy is an industrial technology that takes metal powder (or a mixture of metal powder and non-metal powder) as a raw material, presses and sinters, and produces metal materials, composite materials and various types of products. At present, the main problems in the process of producing various precision mechanical parts by powder metallurgy sintering iron-based (or copper-based) are: the trial product adopts the empirical formula method, and the quality index (such as hardness, density, wear amount, etc.) Add mixed materials and the mass percentages of each content to the iron-based (or copper-based) powder raw materials. Under the same powder metallurgy manufacturing process (such as pressing forming, sinte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/16G06F17/18G06F119/02
CPCG06F30/20G06F17/16G06F17/18G06F2119/02
Inventor 郑义民邵辉聂卓赟项雷军
Owner HUAQIAO UNIVERSITY
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