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All issues Volume 552 (2024) E3S Web Conf., 552 (2024) 01067 References
Open Access
Issue
E3S Web Conf.
Volume 552, 2024
16th International Conference on Materials Processing and Characterization (ICMPC 2024)
Article Number 01067
Number of page(s) 12
DOI https://doi.org/10.1051/e3sconf/202455201067
Published online 23 July 2024
  1. Viswanadhapalli and Bupesh Raja, "Application of Magnesium Alloys in Automotive Industry"- A Review. International Conference on Emerging Current Trends in Computing and Expert Technology, pp 519–531, 07 November (2019). [Google Scholar]
  2. Mordike and Ebert,"Magnesium”. Materials Science and Engineering. pp 37–45, 15 April (2001). [CrossRef] [Google Scholar]
  3. Housh, Mikucki, and Stevenson, "Selection and Application of Magnesium and Magnesium Alloys". Digital library, ASM International, (1990). [Google Scholar]
  4. Shanling Han, Zhiyong Li, Zhiyong Wang, Yong Li, “Review on Joining Processes of Magnesium Alloy Sheets”. The International Journal of Advanced Manufacturing Technology, 08 Oct (2021). [Google Scholar]
  5. Y. Tokita, T. Nakagaito, Y. Tamai, T. Urabe "Stretch Formability of High Strength Steel Sheets in Warm Forming". Journal of Mechanical Working Technology, pp 77–84, August (2017). [Google Scholar]
  6. Mao Bo, Zhang Xing, Pradeep L. Menezes, Liao Yi Liang, "Anisotropic Microstructure Evolution of an AZ31B Magnesium Alloy Subjected to Dry Sliding and Its Effects on Friction and Wear Performance". Materialia is a multidisciplinary journal of materials science and engineering, pp 100444, December (2019). [Google Scholar]
  7. Kim and Yang, "Improvement of Formability for the Incremental Sheet Metal Forming Process". The International Journal of Mechanical Sciences, pp 1271–1286, July (2000). [CrossRef] [Google Scholar]
  8. Winsberg, "Simulated Experiments". Published online by Cambridge University Press, Philosophy of Science, pp. 105 - 12, January (2003). [Google Scholar]
  9. Viswanadhapalli, V.K, and Nagaraju, "Experimental Study and Machine Learning Model to Predict Formability of Magnesium Alloy Sheet". F1000Research, pp. 11:1118, 29 Sep (2022). [Google Scholar]
  10. Yushi Takayama, Yushinori MAKINO, Yan NIU, Hiroyuki UCHIDA, "The Latest Technology of Wire-Cut EDM". Procedia CIRP, pp. 623–626, (2016). [CrossRef] [Google Scholar]
  11. J.A. Sanchez, J.L. Rodil, A. Herrero, L.N. Lopez de Lacalle, A. Lamikiz, "On the Influence of Cutting Speed Limitation on the Accuracy of Wire-EDM Corner-Cutting". Journal of Materials Processing Technology, pp. 574–579, 2 February (2007). [CrossRef] [Google Scholar]
  12. Cakir, "Wet Etching of AZ31B Magnesium Alloy with Nitric Acid'. Engineering material research, pp. 82–85 March (2022). [Google Scholar]
  13. K. Iwanaga, H. Tashiro, H. Okamoto, K. Shimizu, "Improvement of Formability from Room Temperature to Warm Temperature in AZ-31 Magnesium Alloy". Journal of Materials Processing Technology, pp. 1313–1316, 30 November (2004). [CrossRef] [Google Scholar]
  14. Turetta, Bruschi, and Ghiotti, 'Investigation of 22MnB5 Formability in Hot Stamping Operations'. Journal of Materials Processing Technology, pp. 396–400, 3 July (2006). [CrossRef] [Google Scholar]
  15. Zihan Li, Guowei Zhou, Mukesh K. Jain, Yinghong Peng, Peidong Wu, "Forming Limits of Magnesium Alloy AZ31B Sheet at Elevated Temperatures". International journal of plasticity, pp. 102822, December (2020). [Google Scholar]
  16. Cui Junjia, Sun Guangyong, Xu Junrui, Huang Xiaodong, Li Gua "A Method to Evaluate the Formability of High-Strength Steel in Hot Stamping". Materials Design, pp. 95–109, 15 July (2015). [Google Scholar]
  17. Watiti and Labeas, "Finite Element Optimization of Deep Drawing Process Forming Parameters for Magnesium Alloys". International Journal of Material Forming, pp. 97–100, 12 June (2010). [CrossRef] [Google Scholar]
  18. Zimin Wang, Rui ying Gu, Shichao Chen, Wrong Wang, Xicheng Wei, "Effect of Upper-Die Temperature on the Formability of AZ31B Magnesium Alloy Sheet in Stamping". Journal of Materials Processing Technology, pp. 180–190, July 2018. [CrossRef] [Google Scholar]
  19. Goksen and Darendeliler, "The Effect of Strain Rate and Temperature on Forming Limit Diagram for DKP-6112 and AZ31 Materials". Procedia Manufacturing, pp. 1241–1244, (2020). [CrossRef] [Google Scholar]
  20. Kumar, Amjith, and Anjaneyulu, "Forming Limit Diagram Generation of Aluminum Alloy AA2014 Using Nakazima Test Simulation Tool". Procedia Technology, pp 386–393, (2016). [CrossRef] [Google Scholar]
  21. Syed Mujahed Hussaini, Geetha Krishna, Amit Kumar Gupta, Swadesh Kumar Singh, "Development of Experimental and Theoretical Forming Limit Diagrams for Warm Forming of Austenitic Stainless Steel 316”. Journal of Manufacturing Processes, pp. 151–158S, April (2015). [CrossRef] [Google Scholar]
  22. Situ, Jain, and Metzger, "Determination of Forming Limit Diagrams of Sheet Materials with a Hybrid Experimental-Numerical Approach". The International Journal of Mechanical Sciences, pp. 707-719, September (2011). [CrossRef] [Google Scholar]
  23. Nejia Ayachi, Noamen Guermazi, Cong Hanh Pham, Pierre-Yves Manach "Development of a Nakazima Test Suitable for Determining the Formability of Ultra-Thin Copper Sheets". Metals, 28 August (2020). [Google Scholar]
  24. D. Steglich, Tian, J. Bohlen, T. Kuwabaa, "Mechanical Testing of Thin Sheet Magnesium Alloys in Biaxial Tension and Uniaxial Compression” Experimental Mechanics, pp. 1247–1258, 07 May (2014). [Google Scholar]
  25. Midgley and Weyland, A"3D Electron Microscopy in the Physical Sciences". Ultramicroscopy, pp. 413–431, September (2003). [Google Scholar]
  26. Goud, Prasad, and Singh, "Formability Limit Diagrams of Extra-Deep-Drawing Steel at Elevated Temperatures". Procedia Material Science, pp. 123–128, (2014). [CrossRef] [Google Scholar]
  27. Amar M Chheda, Louis Nazro, Fatih G Sen and Vishwanath Hegadekatte, “Prediction of forming limit diagrams using machine learning”. Material science and engineering, (2019). [Google Scholar]
  28. Viswanadhapalli B, V K BR, Nagaraju KC, “Experimental study and machine learning model to predict formability of magnesium alloy sheet”. F1000Res, Sep 29 (2022). [PubMed] [Google Scholar]
  29. Rutvij H. Jhaveri, A. Revathi, Kadiyala Ramana, Roshani Raut, and Rajesh Kumar Dhanaraj, “A Review on Machine Learning Strategies for Real-World Engineering Applications”. Mobile Information Systems,28 Aug (2022). [Google Scholar]
  30. Chuck Joshua Pahati Cruz, “Implementing Multiple Linear Regression model using Neural Networks”. Research gate, 3 Nov (2023). [Google Scholar]

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