Analisis Perbandingan Metode Quenched Terhadap Sifat Mekanik Baja Tahan Karat Austenitik Berbasis Big Data

Desmarita Leni, Islahuddin ., Mulyadi ., Hendra ., Ruzita Sumiati

Abstract


A profound understanding of the mechanical properties of stainless steel is crucial in modern industrial applications. However, comprehensively understanding the mechanical properties of stainless steel requires sufficient testing to gather data on its characteristics. In this research, an analysis was conducted on the influence of chemical composition and heat treatment on the mechanical properties of stainless steel, utilizing data from the Material Algorithm Project (MAP), which is a material database. The dataset comprises 986 samples, encompassing 11 chemical elements, variations in quenching, and 3 mechanical properties of stainless steel. The data was analyzed using descriptive statistics and Pearson correlation to examine the relationships between these variables. The research results indicate a negative correlation of -0.35 between temperature and Yield Strength (YS) in samples of steel undergoing air cooling. The YS values in this treatment can reach 300 MPa at temperature combinations ranging from 1300 K to 1330 K, with heating times ranging from 180 seconds to 420 seconds. Meanwhile, water cooling exhibits a wide range of cooling times and relatively high temperatures. Combinations of time between 1400 seconds and 2200 seconds and temperatures between 1300 K and 1400 K result in YS ranging from 240 MPa to 260 MPa. This research suggests that experimental material testing datasets not only play a passive role in validating an experiment but can also be actively utilized in the analysis and design of materials more effectively.


Keywords


Quenched, mechanical properties, stainless steel, big data

References


. Astafurov, S., & Astafurova, E. (2021). Phase composition of austenitic stainless steels in additive manufacturing: A review. Metals, 11(7), 1052.

. Vafadar, A., Guzzomi, F., Rassau, A., & Hayward, K. (2021). Advances in metal additive manufacturing: a review of common processes, industrial applications, and current challenges. Applied Sciences, 11(3), 1213.

. Morini, A. A., Ribeiro, M. J., & Hotza, D. (2019). Early-stage materials selection based on embodied energy and carbon footprint. Materials & Design, 178, 107861.

. Leni, D., Earnestly, F., Sumiati, R., Adriansyah, A., & Kusuma, Y. P. (2023). Evaluasi sifat mekanik baja paduan rendah bedasarkan komposisi kimia dan suhu perlakuan panas menggunakan teknik exploratory data analysis (EDA). Dinamika Teknik Mesin, 13(1), 74-83.

. Berton, E. M., das Neves, J. C. K., Mafra, M., & Borges, P. C. (2020). Quenching and tempering effect on the corrosion resistance of nitrogen martensitic layer produced by SHTPN on AISI 409 steel. Surface and Coatings Technology, 395, 125921.

. Mampuya, M. B., Umba, M. C., Mutombo, K., & Olubambi, P. A. (2021). Effect of heat treatment on the microstructure of duplex stainless steel 2205. Materials Today: Proceedings, 38, 1107-1112.

. Leni, D., & Sumiati, R. (2022). Perbandingan Alogaritma Machine Learning Untuk Prediksi Sifat Mekanik Pada Baja Paduan Rendah. Jurnal Rekayasa Material, Manufaktur dan Energi, 5(2), 167-174.

. Martinez, W. L., Martinez, A. R., & Solka, J. (2017). Exploratory data analysis with MATLAB. Crc Press.

. Rajan, K. (2015). Materials informatics: The materials “gene” and big data. Annual Review of Materials Research, 45, 153-169.

. [Porro, M., Zhang, B., Parmar, A., & Shin, Y. C. (2022). Data-driven modeling of mechanical properties for 17-4 PH stainless steel built by additive manufacturing. Integrating Materials and Manufacturing Innovation, 11(2), 241-255.

. Gunoglu, K., Özkavak, H. V., & Akkurt, İ. (2021). Evaluation of gamma ray attenuation properties of boron carbide (B4C) doped AISI 316 stainless steel: Experimental, XCOM and Phy-X/PSD database software. Materials Today Communications, 29, 102793

. Materials Algorithms Project. Available online: https://www.phase-trans.msm.cam.ac.uk/map (accessed on 11 April 2022).

. Adler, J., & Parmryd, I. (2010). Quantifying colocalization by correlation: the Pearson correlation coefficient is superior to the Mander's overlap coefficient. Cytometry Part A, 77(8), 733-742.

. Leni, D. (2023). Analisis Heatmap Korelasi dan Scatterplot untuk Mengidentifikasi Faktor-Faktor yang Mempengaruhi Pelabelan AC efisiensi Energi. Jurnal Rekayasa Material, Manufaktur dan Energi, 6(1).

. The British Steelmakers Creep Committee: BSCC High Temperature Data; The Iron and Steel Institute: London, UK, 1973.

. Cai, Z., Zhang, D., Wen, G., Ma, L., & Misra, R. D. K. (2021). The influence of cooling rate on austenite stability and mechanical properties in an austenite–ferrite medium-mn steel. Journal of Materials Engineering and Performance, 30, 7917-7925.

. Rybalchenko, O., Torganchuk, V., Rybalchenko, G., Martynenko, N., Lukyanova, E., Tokar, A., ... & Dobatkin, S. (2023). Effect of Rotary Swaging on Microstructure and Properties of Cr-Ni-Ti Austenitic Stainless Steel. Metals, 13(10), 1760.

. Hawryluk, M., Lachowicz, M., Zwierzchowski, M., Janik, M., Gronostajski, Z., & Filipiak, J. (2023). Influence of the grade of hot work tool steels and its microstructural features on the durability of punches used in the closed die precision forging of valve forgings made of nickel-chrome steel. Wear, 204963.

. Hermant, A., Suzon, E., Petit, P., Bellus, J., Georges, E., Cortial, F., ... & Gourgues-Lorenzon, A. F. (2019). Hot deformation and recrystallization mechanisms in a coarse-grained, niobium stabilized austenitic stainless steel (316Nb). Metallurgical and Materials Transactions A, 50, 1625-1642.




DOI: https://doi.org/10.30596/rmme.v7i2.18025

Refbacks

  • There are currently no refbacks.


Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 License

Jurnal Rekayasa Material, Manufaktur dan Energi  is abstracting & indexing in the following databases: 

 

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Statcounter View My Stats RMME