The quality of metal products — the deciding factor in ensuring the competitiveness of our businesses

Metallurgist ◽  
1998 ◽  
Vol 42 (6) ◽  
pp. 197-200 ◽  
Author(s):  
T. M. Polkhovskaya
Keyword(s):  
2021 ◽  
Vol 2 (1) ◽  
pp. 55-60
Author(s):  
Bahodir Qurbanovich Tilabov ◽  
◽  
Saidabbos Ikromovich Isaev ◽  
Jamshid Abdurazzokovich Sherbo’taev ◽  
Ikhtiyor Chorievich Zhurakulov

The article presents the theoretical and practical basis for the production of rolled products in the conditions of a metallurgical plant. The processes of plastic deformation of bodies between rotating drive rolls are shown. The main results of research on rolled products made of rolled steel are presented. The chemical composition, mechanical properties, macro -and microstructure parameters, and strengthening treatments of locally produced rolled steel were studied. It is shown that after hardening treatment, the strength increases and the quality of rolled products improves.Keywords:composition and properties of rolled metal products, plastic deformation process, rotating drive rollers, rolled body, rolled steel, hardening heat treatment, hardness, macro-and microstructure, performance and quality of finished products


2020 ◽  
Vol 299 ◽  
pp. 335-339
Author(s):  
Sergei I. Platov ◽  
V.A. Nekit ◽  
M.L. Krasnov

A study of the mechanical properties of the finished metal products was carried out. All types of metal products are subjected to continuous quality control, both on the production output at the manufacturer of billets, and on the production entrance at the consumer of metal. Control subject are: strength characteristics (tensile strength σв and yield stress σ02 and the characteristics of plasticity (relative elongation δ and relative necking ψ). The pipe steels have another important controlled characteristic: the impact toughness КСU-60. All the test methods are the destroying ones and are characterized by high complexity. The task of reducing the types of tests, the introduction of a comprehensive indicator of product quality is an urgent technical task. The purpose of this work is to study the regularities of changes in the indicators that determine the quality of the sheet metal from the pipe steel.


2018 ◽  
Vol 201 ◽  
pp. 01010 ◽  
Author(s):  
Chung-Chi Huang ◽  
Xin-Pu Lin

In the paper, it is proposed to develop a machine learning based intelligent defect detection system for metal products. The common machine vision system has the surface (stain, shallow pit, shallow tumor, scratches, Edge defects, pattern defects) detection, or for the processing of the size, diameter, diameter, eccentricity, height, thickness and other parts of the non-contact numerical parameters of detection. Considering the quality of the work piece and the defects of the standard, so for the quality of customized testing requirements, the study is the development of machine vision and machine learning metal products defect detection system, mainly composed of three procedures: Image preprocessing, training procedures and testing procedures. The system architecture consists of three parts: (1) Image preprocessing: we first use the machine vision. OPENCV to carry out the image pre-processing part of the product before the detection. (2) Training procedures: The algorithm of the machine learning includes the convolution neural network (CNN), chunk-max pooling is used to train the program, and the generative adversarial network (GAN) based architecture is used to solve the problem of small datasets for surface defects. (3) Testing procedures:The Python language is used to write the program and implement the testing procedures with the GPU-Based embedded hardware In industries, collecting training dataset is usually costly and related methods are highly dataset-dependent. So most companies cannot provide Big-data to be analyzed or applied. By the experimental results, the recognition accuracy can be obviously improved as increasing data augmentation by GAN-Based samples maker. Manual inspection is labor intensive, costly and less in efficiency. Therefore, this study will contribute to technological innovation, industry, national development and other applications. (1) The use of intelligent machine learning technology will make the industry 4.0 technology more sophisticated. (2) It will make the development of equipment industry be better by the machine learning applications. (3) It will increase the economics and productivity of countries for the aging of the population by machine learning.


Metallurgist ◽  
2003 ◽  
Vol 47 (11/12) ◽  
pp. 465-469
Author(s):  
Yu. M. Palagin ◽  
N. V. Bogdanova ◽  
A. K. Tikhonov ◽  
V. A. Mashkin

2021 ◽  
pp. 377-381
Author(s):  
N.N. Nenakhov ◽  
V.P. Smolentsev ◽  
V.L. Mozgalin ◽  
A.I. Portnykh

The issues of preparation the surfaces of metal products for the application of high-temperature protective coatings from mineral-ceramic granules with a conductive binder are considered. The influence of contamination in the contact zone of the preparation with the coating on the quality of the product is described and methids for eliminating the factors affecting the decrease in the resistance of the applied layer under the influence of the torch of hot products of fuel combustion are show.


2018 ◽  
Vol 61 (7) ◽  
pp. 551-556 ◽  
Author(s):  
A. A. Filippov ◽  
G. V. Pachurin ◽  
N. А. Kuz’min ◽  
Yu. I. Mat¬veev ◽  
V. B. Deev

Metal products obtained by cold heading from rolled metal are used in all branches of mechanical engineering. Its quality is estimated by the required chemical composition and plasticity, the absence of a dispersion of mechanical characteristics along the entire length, the absence of internal and surface defects. The competitive advantage of metalware is the result of optimization during all technological pro­cesses: from rolled metal smelting to heading of finished metalware. At the same time, to reduce costs and to achieve the required quality of metalware, an important condition is to ensure safety and to reduce the energy intensity and labor input of its manufacturing process. An important controlling role in this technological chain is the preparation of the material for its cold volume forging. High-strength fasteners, obtained in conditions of cold heading, are most often obtained from chromium steels. Recently, alternative boron-containing steels have been actively introduced. However, because of the possible formation of boron oxides and nitrides, which lead to a decrease in hardenability, they exhibit instability of thermal hardening during thermohardening of metal products. In addition, the rolled metal of chromium steels, as a rule, is cheaper by 12 – 16 %. And as the fact that foreign deliveries of such steels are associated with additional costs, the fasteners produced from boron-containing steel are obtained with even higher increase in value, which again shows the favor of chromium steels. The standard mechanical characteristics were obtained as well as the destruction cri­teria of 40Kh rolled steel, subjected to patenting in a nylon bath with different temperatures and subsequent drawing with different degrees of deformation during cobbing. The optimum mode of preparation of structure parameters and mechanical characteristics of rolled products before the operation of metalware cold volume forging was identified: patenting (temperature of salt bath of 400 °С) and drawing (deforma­tion degree in the range of 5 – 10 %). It was established that treatment under this mode ensures the obtaining of the required quality of rolled products and is more preferable than the one that operates in produc­tion.


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