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Railway castings, as key load-bearing components in railway systems, have their internal microstructure directly determining the performance and service life. Metallographic analysis, by revealing the microstructure characteristics of materials, provides a direct basis for the quality assessment of track castings.
1.1 Metallographic analysis mainly consists of three steps: sampling, sample preparation, and observation.
Sampling locations are typically selected near the risers, at the locations of sudden changes in wall thickness, and other critical areas of the casting. The sample preparation process involves rough grinding, fine grinding, and polishing to obtain a mirror-like observation surface. その後, specific etching agents (のような 4% nitric acid alcohol solution) are used to etch the samples, making the grain boundaries, phase boundaries, and other microstructures visible. ついに, the microstructure is observed under a metallographic microscope, and when necessary, a scanning electron microscope is used for high-magnification analysis.

1.2 The main elements of microstructure observation include: the morphology and distribution of graphite, the type of matrix structure, the grain size rating, and the morphology and quantity of microscopic defects. These microscopic features need to be compared and evaluated against relevant national standards (such as GB/T 9441) or industry norms.
2.1 The macroscopic properties of materials are essentially an objective reflection of their microstructure. Taking the common ductile iron track casting as an example:
The morphology of graphite directly affects the mechanical properties of the material. Ideally, graphite should be uniformly distributed in the form of spheres in the matrix. Spherical graphite has the least disruptive effect on the matrix, ensuring the material achieves good strength and toughness. If flake graphite is present, the continuity of the matrix will be severely disrupted, leading to a significant decrease in strength indicators. In actual testing, the spheroidization rate should not be less than 80%, and the size of graphite should be controlled at 6-7 成績.
2.2 The matrix structure determines the strength and wear resistance of the material.
2.3 Pearlite matrix has higher strength and hardness, while ferrite matrix gives the material better toughness.
Through metallographic analysis, the relative content of pearlite and ferrite, as well as the lamellar spacing of pearlite, can be accurately evaluated. 一般的に, the content of pearlite is controlled between 60% そして 80%, which can ensure sufficient strength while also considering a certain degree of toughness.
The grain size affects the performance in accordance with the Hall-Petch relationship. Fine grains can simultaneously improve the strength and toughness of the material. This is because grain boundaries can effectively hinder dislocation movement; the finer the grains, the larger the grain boundary area, and the more pronounced the strengthening effect. In the casting process, the ideal grain size can be achieved by controlling the cooling rate and adding inoculants.
2.4 The presence of microscopic defects is often the direct cause of premature failure of components. Casting defects such as porosity and shrinkage cavities significantly reduce the effective load-bearing area of the material and cause stress concentration at the defect edges. Non-metallic inclusions, especially those distributed in chains, such as sulfides and oxides, severely disrupt the continuity of the matrix and become the source of crack initiation.
3.1 In production practice, metallographic analysis is mainly applied in the following aspects:
In terms of process verification, by analyzing the microstructure changes under different heat treatment processes, process parameters can be optimized. 例えば, normalizing treatment can effectively promote the transformation of pearlite, eliminate network cementite, and improve the comprehensive performance of the material.
3.2 In the incoming inspection stage, sampling metallographic analysis of each batch of castings has become a routine quality control method.
By quickly evaluating the morphology of graphite, the type of matrix structure, and the defect grade, non-conforming products can be effectively intercepted from entering the production line.
In the process of failure analysis, taking samples from the fractured component for metallographic observation often directly reveals the microscopic factors causing the failure. A heavy-duty railway switch casting experienced early failure during service. Metallographic analysis revealed a large amount of vermicular graphite and porosity defects near the fracture surface. These microscopic defects gradually expanded under alternating loads, eventually leading to brittle fracture.
3.3 The implementation of quality standards also relies on metallographic analysis technology. Industry standards have clear limits on the morphology of graphite, the quantity of pearlite, the content of cementite, 等. Only through systematic metallographic examination can these indicators be accurately evaluated.
Metallographic analysis, as an important technical means connecting microstructure with macroscopic properties, plays an irreplaceable role in the quality determination of rail castings. It not only objectively reflects the quality status of materials but also provides a basis for the improvement of production processes and technical support for the safety of railway transportation. With the continuous development of detection technology, the application of metallographic analysis in the quality control of rail castings will become more in-depth and extensive.
洛陽豊洋重工業株式会社, 株式会社,1998年に設立された鉄道鋳造部品のメーカーです。当社の工場面積は72,600㎡です。, 以上の 300 従業員, 32 技術者, 含む 5 シニアエンジニア, 11 アシスタントエンジニア, そして 16 当社の生産能力は 30,000 年間トン. 現在, 私たちは主に鋳物を生産しています, 機械加工, 機関車の組立て, 鉄道車両, 高速鉄道, 鉱山機械,風力,等.
当社はCRRCに鉄道部品を供給しています。(以上を含む 20 CRRCの支店および子会社),Gemacエンジニアリングマシナリー,サニーグループ, 中信重工業,等. 当社の製品はロシアに輸出されています, 米国, ドイツ, アルゼンチン, 日本, フランス, 南アフリカ,イタリアをはじめとする世界中の国.