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Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears

Ali Rajaei et al · KeAi Communications Co., Ltd · 2021

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Abstract This paper presents a digital model for the powder metallurgical (PM) production chain of high-performance sintered gears based on an integrated computational materials engineering (ICME) platform. Discrete and finite element methods (DEM and FEM) were combined to describe the macroscopic material response to the thermomechanical loads and process conditions during the entire production process. The microstructural evolution during the sintering process was predicted on the meso-scale using a Monte-Carlo Model. The effective elastic properties were determined by a homogenization method based on modelling a representative volume element (RVE). The results were subsequently used for the FE modelling of the heat treatment process. Through the development of multi-scale models, it was possible obtain characteristics of the microstructural features. The predicted hardness and residual stress distributions allowed the calculation of the tooth root load bearing capacity of the heat-treated sintered gears.

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APA 7

al, A. R. E. (2021). Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears. https://doi.org/10.1186/s10033-021-00646-4

MLA

al, Ali Rajaei et. "Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears." 2021. https://doi.org/10.1186/s10033-021-00646-4.

Chicago

al, Ali Rajaei et. 2021. "Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears.". https://doi.org/10.1186/s10033-021-00646-4.

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al, A. R. E. 2021, Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears, KeAi Communications Co, Ltd, available at: https://doi.org/10.1186/s10033-021-00646-4 [Accessed 8 Aug. 2026].

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Titolo
Numerical Modelling of the Powder Metallurgical Manufacturing Chain of High Strength Sintered Gears
Autore / collaboratori
Ali Rajaei et al
Editore
KeAi Communications Co., Ltd
Anno di pubblicazione
2021
ISSN
1000-9345
ISSN
1000-9345
Lingua
Inglés

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