Microstructure and Mechanical Properties of Nd:YAG Laser Welded Invar 36 Alloy

Zhao, Yue; Wu, Ai Ping; Yao, Wei; Wang, Zhi Min; Sato, Yutaka; Kokawa, Hiroyuki

doi:10.4028/www.scientific.net/msf.675-677.739

Cited by 21 publications

(10 citation statements)

References 3 publications

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“…HIPing closed the majority of pores but led to coarsening of α precipitates especially those at GBs. The difference in the effect of heat treatment and HIPing on α precipitate size is unlikely to be due to the difference in the temperatures used for heat treatments (830°C and 570°C) and HIPing (950°C) given that the γ→α transformation temperature is actually below 500°C [4]. Instead, it should be attributed to the difference in cooling rate after heat treatments and HIPing.…”

Section: Microstructural Developmentmentioning

confidence: 97%

“…Invar 36, Fe-36wt.%Ni alloy, is well known for its low coefficient of thermal expansion (CTE) below its Curie temperature (230°C) and excellent mechanical properties in cryogenic environment [1][2][3][4][5]. Due to these features, it has been widely used as highly reliable and high precision materials in components where high dimensional stability is required.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Selective laser melting of Invar 36: Microstructure and properties

2016

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Section: Microstructural Developmentmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Selective laser melting of Invar 36: Microstructure and properties

2016

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“…Invar 36 alloy, as a nickel-iron alloy with excellent cryogenic characteristics, has received wide attention in various fields, such as in LNG carriers, precision instruments and other fields [4][5][6][7]. Previous studies have demonstrated that Invar 36 alloy as an outer ring material for LNG bearings exhibits excellent tribological properties under extremely cryogenic and dry conditions.…”

Section: Introductionmentioning

confidence: 99%

Improving Tribological Behaviors of Invar 36 Alloy under Extremely Cryogenic and Dry Conditions Through Surface Micro-Texturing

Wang

Guo

Zhang

et al. 2023

J. Phys.: Conf. Ser.

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Invar 36 alloy is an iron-nickel alloy with an ultra-low coefficient of thermal expansion, which is widely used in cryogenic fields of liquefied natural gas (LNG) and aerospace. However, the wear under extremely cryogenic and dry conditions is a key problem for Invar 36 alloy applied in the bearing of cryogenic submersible pump. In this work, we are mainly for improving the cryogenic tribological performance of Invar 36 alloy through laser surface texturing. Three different types of surface micro-textures were prepared on Invar 36 alloy specimens. And the effects of these micro-textures on the friction and wear properties of Invar 36 alloy were investigated. The results show that groove-channel micro-texture has the lowest coefficient of friction and wear rate under normal and -196 °C. Further research shows that this is because the channel structure of groove-channel micro-texture is more conducive to the transfer of most debris generated caused by wear, which successfully reduces the occurrence of abrasive wear. Scanning Electron Microscopy/Energy-dispersive X-ray spectroscopy was utilized to explain the cryogenic tribological performance of the micro-textures.

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“…As a special functional material, Invar36 alloy is especially attractive for electronics industry, LNG storage tanks, long-distance power transmission lines, the forming mold of composite material and other fields on account of its extremely low coefficient of thermal expansion (CTE) below Curie temperature [1][2][3] . It is well known that the deformation behaviors of metals in hot forming process, significantly affected by the deformation parameters including strain, strain rate and temperature, have an important influence on the dimensional accuracy and mechanical properties of final products.…”

Section: Introductionmentioning

confidence: 99%

A Characterization of Hot Flow Behaviors of Invar36 Alloy by an Artificial Neural Network with Back-Propagation Algorithm

Zou

Zhang

et al. 2021

Mat. Res.

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In order to investigate the hot deformation behaviors of Invar36 alloy, isothermal compressive tests were conducted on a Gleeble 1500 thermo-mechanical simulator at the temperatures of 873, 948, 1023, 1098 and 1173 K and the strain rates of 0.01, 0.1, 1 and 10 s −1 . The effects of strain, temperature and strain rate on flow stress were analyzed, and a dynamic recrystallization type softening characteristic with unimodal flow behavior is determined. An artificial neural network based on back-propagation algorithm was proposed to handle the complex deformation behavior characteristics. The ANN model was evaluated in terms of correlation coefficient and average absolute relative error. A comparative study was performed on ANN model and constitutive equation by regression method for Invar36 alloy. Finally, the ANN model was applied to the finite element simulation, and an experimental study on trial hot forming of a V-shaped part was conducted to demonstrate the precision of the finite element simulation based on predicted flow stress data by ANN model. The results have sufficiently showed that the well-trained ANN model with BP algorithm is able to deal with the complex flow behaviors of Invar36 alloy and has great application potentiality in hot deformation.

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Microstructure and Mechanical Properties of Nd:YAG Laser Welded Invar 36 Alloy

Cited by 21 publications

References 3 publications

Selective laser melting of Invar 36: Microstructure and properties

Selective laser melting of Invar 36: Microstructure and properties

Improving Tribological Behaviors of Invar 36 Alloy under Extremely Cryogenic and Dry Conditions Through Surface Micro-Texturing

A Characterization of Hot Flow Behaviors of Invar36 Alloy by an Artificial Neural Network with Back-Propagation Algorithm

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