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International Journal of Cloud Computing and Database Management

Impact Factor (RJIF): 5.4, P-ISSN: 2707-5907, E-ISSN: 2707-5915
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2025, Vol. 6, Issue 2, Part A

Mathematical modeling and behaviour analysis of the cast iron machining plant


Author(s): Ritu Rani and Bhawana

Abstract: These days, the quest for new materials is focused on reducing the "effectiveness/weight" ratio of each family member and associated expenses across the entire assembly process, from planning to final assembly. When choosing the right material for a particular application, factors including mechanical strains, heated climates, production costs, reuse, public recognition, and usefulness are all taken into consideration. One of the many types of materials that essentially always provide superior machinability and affordable production prices is castiron. Because of its qualities and economic benefits, cast iron has received a lot of attention for its development during the Industrial Revolution up to this point. After prepares, cast irons are currently the second most delivered metallic material. After being shipped to the foundry, cast irons are often machined, which is quite expensive. The purpose of this evaluation was to provide important information about the machinability characteristics of cast irons. Before concluding with future patterns, it discusses the most important machining yield boundaries (powers and power utilization, cutting temperature, surface harshness, recommended cutting devices, instrument wear, and the related use of computational displaying procedures, such as the limited component technique). It is anticipated that this research will close a gap in the literature for those who deal with this fundamental metal's machinability.

DOI: 10.33545/27075907.2025.v6.i2a.98

Pages: 18-21 | Views: 36 | Downloads: 12

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International Journal of Cloud Computing and Database Management
How to cite this article:
Ritu Rani, Bhawana. Mathematical modeling and behaviour analysis of the cast iron machining plant. Int J Cloud Comput Database Manage 2025;6(2):18-21. DOI: 10.33545/27075907.2025.v6.i2a.98
International Journal of Cloud Computing and Database Management

International Journal of Cloud Computing and Database Management

International Journal of Cloud Computing and Database Management
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