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Recent Innovations in Chemical Engineering

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ISSN (Print): 2405-5204
ISSN (Online): 2405-5212

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Systematic Review Article

Worldwide Research Trend on Steel Casting: A Visualization and Future Research Directions

In Press, (this is not the final "Version of Record"). Available online 24 July, 2024
Author(s): Mochamad Achyarsyah, Gita Novian Hermana, Muhammad Rizki Gorbyandi, Poppy Puspitasari, Heny Hendrayati and Mahir Pradana*
Published on: 24 July, 2024

DOI: 10.2174/0124055204304611240709042627

Price: $95

Abstract

Aims: In this study, we conducted a bibliometric study about steel casting between the year 2000-2023. We carried out a bibliometric analysis of sand casting, investment casting, die casting, and squeeze casting in which optimization and simulation models are available and have been thoroughly developed to enhance the quality of the casting product, according to the keyword co-occurrence network and word cloud generated by the bibliometric analysis and text mining of the publications.

Methods: By delving further into the optimisation and simulation models, this study finds multiple casting procedures with various process parameters that have a major effect on the process results. Defects of the mechanical kind are the most prevalent, and factors taken into consideration are emissions, yield, dimensional tolerances, and qualities.

Results: The necessity for data-driven modelling in new casting environments has been identified in this study, which will allow for a dynamic casting process and fine-tuning and aid in attaining desirable results in today's competitive markets. In order to illustrate the future prospects of this sector, this research focuses on potential technical interventions in steel casting processes that could enhance the efficiency of the process and the quality of the products produced by steel casting.

Conclusion: This study examines the body of literature on various researchers' contributions to the production of excellent casting components and performs a bibliometric examination of the publications. However, the literature study examines research publications from high-quality essential sources to determine the essential criteria influencing steel casting quality.

[1]
Körner C, Hirschmann M, Wiehler H. Integral foam moulding of light metals. Mater Trans 2006; 47(9): 2188-94.
[http://dx.doi.org/10.2320/matertrans.47.2188]
[2]
Wang D, Dong A, Zhu G, et al. Rapid casting of complex impeller based on 3D printing wax pattern and simulation optimization. Int J Adv Manuf Technol 2019; 100(9-12): 2629-35.
[http://dx.doi.org/10.1007/s00170-018-2736-9]
[3]
Kwon HJ, Kwon HK. Computer aided engineering (CAE) simulation for the design optimization of gate system on high pressure die casting (HPDC) process. Robot Comput-Integr Manuf 2019; 55: 147-53.
[http://dx.doi.org/10.1016/j.rcim.2018.01.003]
[4]
Mitra S, Rodríguez de Castro A, El Mansori M. On the rapid manufacturing process of functional 3D printed sand molds. J Manuf Process 2019; 42: 202-12.
[http://dx.doi.org/10.1016/j.jmapro.2019.04.034]
[5]
Kalpakjian S. Manufacturing Engineering and Technology 7th ed. Pearson 2014; pp. 1-16.
[6]
Campbell J. Stop pouring, start casting. Int J MetalCast 2015; 6: 7-18.
[http://dx.doi.org/10.1016/B978-0-444-63509-9.00016-9]
[7]
Tuttle R, Ramrattan S, Wells L, Medved J. Refractory coated surface characterization for steel using disk-shaped chemically bonded sand specimens-Part II. Int J Met Cast 2022; 16(2): 493-501.
[http://dx.doi.org/10.1007/s40962-021-00618-3]
[8]
Zellagui R, Hemmouche L, Bouchafaa H, Belrechid R, Aitsadi H, Chelli A. Effect of heat treatments on the microstructure, mechanical, wear and corrosion resistance of casted hadfield steel. Int J Met 2022.
[http://dx.doi.org/10.1007/s40962-021-00751-z]
[9]
American Foundry Society 2019.https://www.afsinc.org/Importance-%0AMetalcasting-0%0A
[10]
Momen MN, Ananian FB, Fahmy IM, Mostafa T. Effect of high environmental temperature on semen parameters among fertile men. Fertil Steril 2010; 93(6): 1884-6.
[http://dx.doi.org/10.1016/j.fertnstert.2008.12.065] [PMID: 19185857]
[11]
Dizdar KC, Sahin H, Ardicli M, Dispinar D. Flaw detection of cast-steel safety parts in automotive application. Arch Foundry Eng 2022; 22(1): 13-7.
[http://dx.doi.org/10.24425/afe.2022.140211]
[12]
Rodziewicz A, Perzyk M. Application of significance analysis to finding root causes of product defects in continuous casting of steel. Comput Methods Mater Sci 2016; 16(4): 187-95.
[http://dx.doi.org/10.7494/cmms.2016.4.0588]
[13]
Fix C, Borrmann L, Elixmann SM, Grahe C, Kurenbach S, Senk D. Investigations on decreased high temperature ductility of different continuously cast steel grades. Steel Res Int 2021; 92(12)2100323
[http://dx.doi.org/10.1002/srin.202100323]
[14]
Cuartas M, Ruiz E, Ferreño D, Setién J, Arroyo V, Gutiérrez-Solana F. Machine learning algorithms for the prediction of non-metallic inclusions in steel wires for tire reinforcement. J Intell Manuf 2021; 32(6): 1739-51.
[http://dx.doi.org/10.1007/s10845-020-01623-9]
[15]
Deshmukh RA, Hiremath RB. Neural network approach for making foundry industry sustainable. Int J Sci Technol Res 2019; 8(9): 82-8.
[16]
Suthar J, Persis J, Gupta R. Critical parameters influencing the quality of metal castings: A systematic literature review. Int J Qual Reliab Manage 2021; 53-82.
[http://dx.doi.org/10.1108/IJQRM-11-2020-0368]
[17]
García-León RA, Gómez-Camperos JA, Jaramillo HY. Scientometric review of trends on the mechanical properties of additive manufacturing and 3D printing. J Mater Eng Perform 2021; 30(7): 4724-34.
[http://dx.doi.org/10.1007/s11665-021-05524-7]
[18]
Azad AK, Parvin S. Bibliometric analysis of photovoltaic thermal (PV/T) system: From citation mapping to research agenda. Energy Rep 2022; 8: 2699-711.
[http://dx.doi.org/10.1016/j.egyr.2022.01.182]
[19]
Chansanam W, Ahmad AR, Li C. Contemporary and future research of digital humanities: A scientometric analysis. Bull Electr Eng Inform 2022; 11(2): 1143-56.
[http://dx.doi.org/10.11591/eei.v11i2.3596]
[20]
Mahadevan K, Joshi S. Omnichannel retailing: A bibliometric and network visualization analysis. Benchmarking (Bradf) 2022; 29(4): 1113-36.
[http://dx.doi.org/10.1108/BIJ-12-2020-0622]
[21]
Sancho R, Pastor A, Criado E. Bibliometric approach to research performance in the field of refractory materials used in iron and steelmaking processes. Scientometrics 1992; 24(1): 115-36.
[http://dx.doi.org/10.1007/BF02026476]
[22]
Santos VHM, Campos TLR, Espuny M, Oliveira OJ. Identification of the main topics about cleaner production: A guide to directing sustainable industrial practices in the next decade. In: São Paulo State University (UNESP), Engineering School, Campus Guaratinguetá Guaratinguetá, São Paulo. Brazil: IEOM Society 2021; 12516-410: 432-43.
[http://dx.doi.org/10.46254/SA02.20210237]
[23]
Muhuri PK, Shukla AK, Abraham A. Industry 4.0: A bibliometric analysis and detailed overview. Eng Appl Artif Intell 2019; 78: 218-35.
[http://dx.doi.org/10.1016/j.engappai.2018.11.007]
[24]
Umate R, Patil MS, Telrandhe S, Pathade A, Choudhary S. A review of scopus indexed publications affiliated to a deemed university in central India using bibliometric analysis. Int J Pharm Res 2019; 11(2): 1890-912.
[25]
Rodolfo RC. Digital technology and effects on the learning culture of the social subject. Rev Venez Gerenc 2019; 24(2): 502-14.
[26]
Wu JF, Lin X. Bibliometric analysis of publications on inclusive education from the Web of Science Core Collection published from 1992 to 2020. Sci Ed 2021; 8(1): 79-84.

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