Creep Life Prediction of Alloy 718 for Automotive Engine Materials

Kong, Yu Sik; Yu, Jiyoung; Park, Young Hwan

doi:10.1007/s12239-018-0103-3

Cited by 5 publications

(6 citation statements)

References 4 publications

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“…The creep resistance was calculated by using the Larson–Miller parameter (LMP), [ 76 ] which is defined as

\begin{array}{*{20}{c}}{{\rm{LMP}} = 0.001{T_{{\rm{creep}}}}\left( {C + {\rm{lg}}{t_{{\rm{creep}}}}} \right)}\end{array}

where T creep (K) is the creep temperature, C = 20, and t creep (h) represents the creep life. It could be observed that under the same testing condition (e.g., 690 MPa, 1023 K), the C2 and C4 alloys exhibited longer lifetime than U720Li, [ 77 ] N18LSHR, [ 73 ] alloy 718, [ 78 ] and GH4169 [ 79 ] alloys, indicating that the former alloys have better creep resistance than the latter alloys and validating our creep resistance optimization by machine learning–assisted alloy design.…”

Section: Resultssupporting

confidence: 58%

“…where T creep (K) is the creep temperature, C = 20, and t creep (h) represents the creep life. It could be observed that under the same testing condition (e.g., 690 MPa, 1023 K), the C2 and C4 alloys exhibited longer lifetime than U720Li, [77] N18LSHR, [73] alloy 718, [78] and GH4169 [79] alloys, indicating that the former alloys have better creep resistance than the latter alloys and validating our creep resistance optimization by machine learningassisted alloy design. The above validation clearly indicated the accuracy and efficiency of our machine learning-assisted alloy design strategy.…”

Section: Verification Of the Machine Learning-assisted Alloy Designsupporting

confidence: 68%

“…Creep resistance of designed alloys and several typical polycrystalline superalloys: U720Li, [ 77 ] N18, [ 73 ] alloy 718, [ 78 ] and GH4169. [ 79 ] …”

Section: Resultsmentioning

confidence: 99%

“…Meanwhile, the mean Figure 10. Creep resistance of designed alloys and several typical polycrystalline superalloys: U720Li, [77] N18, [73] alloy 718, [78] and GH4169. [79] sizes of the γ ′ phase were measured from the equivalent diameters of C2 and C4 alloys via the ImageJ software.…”

Section: Experiment-experimental Validation Of the Design Strategymentioning

confidence: 99%

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High‐Throughput Method–Accelerated Design of Ni‐Based Superalloys

Liu

Wang

Wang³

et al. 2022

Adv Funct Materials

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Ever-increasing demands for superior alloys with improved hightemperature service properties require accurate design of their composition. However, conventional approaches to screen the properties of alloys such as creep resistance and microstructural stability cost a lot of time and resources. This work therefore proposes a novel high throughput-based design strategy for high-temperature alloys to accelerate their composition selections, by taking Ni-based superalloys as an example. A numerical inverse method is used to massively calculate the multielement diffusion coefficients based on an accurate atomic mobility database. These coefficients are subsequently employed to refine the physical models for tuning the creep rates and structural stability of alloys, followed by unsupervised machine learning to categorize their composition and determine the range of the composition with optimal performance. By using a strict screening criterion, two sets of composition with comprehensively optimal properties are selected, which is then validated by experiments. Compared with recent data-driven methods for materials design, this strategy exhibits high accuracy and efficiency attributed to the high-throughput multicomponent diffusion couples, self-developed atomic mobility database, and refined physical models. Since this strategy is independent of the alloy composition, it can efficiently accelerate the development of multicomponent high-performance alloys and tackle challenges in discovering novel materials.

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“…The creep resistance was calculated by using the Larson–Miller parameter (LMP), [ 76 ] which is defined as

\begin{array}{*{20}{c}}{{\rm{LMP}} = 0.001{T_{{\rm{creep}}}}\left( {C + {\rm{lg}}{t_{{\rm{creep}}}}} \right)}\end{array}

Section: Resultssupporting

confidence: 58%

Section: Verification Of the Machine Learning-assisted Alloy Designsupporting

confidence: 68%

“…Creep resistance of designed alloys and several typical polycrystalline superalloys: U720Li, [ 77 ] N18, [ 73 ] alloy 718, [ 78 ] and GH4169. [ 79 ] …”

Section: Resultsmentioning

confidence: 99%

Section: Experiment-experimental Validation Of the Design Strategymentioning

confidence: 99%

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High‐Throughput Method–Accelerated Design of Ni‐Based Superalloys

Liu

Wang

Wang³

et al. 2022

Adv Funct Materials

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“…Alloy 718 can be welded in annealed and dispersion-hardened. It is characterized by high mechanical strength, high temperatures, creep strength and resistance to oxidation (Kumar et al, 2019;Enrique et al, 2019;Zhong et al, 2019;Kong et al, 2019;Stone et al, 2018). The research of rear cover of bearing housing with use the fluorescent method was made in view of the condition of the surface of the product (PN-EN ISO 9934-1:2017-02; PN-EN 1369:2013-04) and requirement of the external customer, who ordered control of the product.…”

Section: Methodology Of Researchmentioning

confidence: 99%

An Improvement of Quality of the Rear Cover of Bearing Turbine with the use of Selected Methods

Pacana

Siwiec

2019

Quality Production Improvement - QPI

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The analyses of the nonconformity of products are made in order to achieve the desired level of their quality. This is also the case in the analyzed enterprise located in south-eastern Poland. Due to production character in this enterprise to identify the incompatibilities of products the non-destructive tests are used. In the current approach to quality after identified the nonconformities the cause her arise were determined, it was noted in order to use by statistical analyzes. Unfortunately, no deeper qualitative analyzes were made which could specify the source of its creation. Therefore, it was considered that it is necessary to propose to use (near current actions according to non-destructive tests) the sequence of quality management instruments. In order to improve the quality control actions, the sequence of techniques which complement each other, i.e. non-destructive tests, Ishikawa diagram and 5Why method, was proposed. To demonstrate the effectiveness of the proposed sequence, the rear cover of the bearing turbine was selected as the subject of the analysis. The choice was conditioned by the unit character of production, which till now was discouraged a detailed analysis of sources of nonconformities. After analyzed the product with used the fluorescent method the nonconformities were identified on the rear cover of the bearing turbine, which was the porosity cluster. In order to identify the causes these nonconformities the Ishikawa diagram was drawn up. Next, the selected main causes (i.e. supplier of the product and nonconformities created during the production of the product) were analyzed the 5Why method in order to identify the source cause of the problem. In this case, it was the nonconformity material from the supplier. The proposed sequence, which uses the minimal resources let to show the wide range of information, which should be used to the improvement of quality. The presented the set of activities can be practised in each of the enterprises to analyze quality problems in order to identify the nonconformities and their causes.

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