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Название: Optimization of surface roughness in milling of EN 24 steel with WC-Coated inserts using response surface methodology: analysis using surface integrity microstructural characterizations
Авторы: Patil, S.
Sathish, T.
Rao, P. S.
Prabhudev, M. S.
Vijayan, V.
Rajkumar, S.
Sharma, S.
Kumar, A.
Abbas, M.
Makki, E.
Дата публикации: 2024
Издатель: Frontiers Media SA
Библиографическое описание: Patil, S., Sathish, T., Rao, P. S., Prabhudev, M. S., Vijayan, V., Rajkumar, S., Sharma, S., Kumar, A., Abbas, M., & Makki, E. (2024). Optimization of surface roughness in milling of EN 24 steel with WC-Coated inserts using response surface methodology: analysis using surface integrity microstructural characterizations. Frontiers in Materials, 11, [1269608]. https://doi.org/10.3389/fmats.2024.1269608
Аннотация: Introduction: Among alloys of medium-carbon and high-strength steel, EN 24 steel is characterised by its nickel-chromium-molybdenum composition. EN 24 steel is highly suitable for application in heavy-duty projects due to its notable resilience to damage, especially when exposed to low temperatures. With the objective of minimising surface irregularities, this research endeavours to enhance the milling process of EN 24 steel by employing coated tungsten carbide (WC) tool inserts. Methods: Feed rate, cutting speed, depth of cut, and cutting fluid are all crucial process factors in the experimental investigation. Four distinct levels are applied to each factor. The research utilises the Design of Experiments (DOE)-based Central Composite Design of Response Surface Methodology. To predict output parameters, mathematical models are developed utilising analysis of variance (ANOVA) for optimisation purposes. Results and discussions: Through the utilisation of multi-objective optimisation, the optimal combination for tungsten carbide inserts was determined, which provided surface irregularities of 0.301 µm. Cutting speed (CS) of 149.507 m/min, feed rate (FR) of 340.27 mm/min, depth of cut (DOC) of 0.599 mm, and cutting fluid (CF) of 12.50 L/min are the optimal parameters. The surface morphologies of the machined workpiece at particular parameter values can be discerned through scanning electron microscope (SEM) analysis, yielding significant insights. The optimal parameters that have been identified provide practical recommendations for improving the milling method of EN 24 steel when tungsten carbide inserts are utilised. Understanding the milling process in its entirety is facilitated by SEM analysis of surface morphologies and microstructures under particular cutting conditions. The morphology and surface irregularities of the machined workpiece are evaluated using profilometry, which provides additional insight into surface integrity. The discourse investigates the potential applications and implications of the results, as well as suggests directions for further study concerning the enhancement of milling processes for similar steel alloys. Copyright © 2024 Patil, Sathish, Rao, Prabhudev, Vijayan, Rajkumar, Sharma, Kumar, Abbas and Makki.
Ключевые слова: EN 24 STEEL
PROFILOMETRY
RESPONSE SURFACE METHODOLOGY
SEM
SURFACE ROUGHNESS
TUNGSTEN-COATED CARBIDE INSERTS
ALLOY STEEL
ANALYSIS OF VARIANCE (ANOVA)
CHROMIUM ALLOYS
CHROMIUM STEEL
CUTTING
DESIGN OF EXPERIMENTS
HIGH STRENGTH ALLOYS
HIGH STRENGTH STEEL
MILLING (MACHINING)
MOLYBDENUM STEEL
MORPHOLOGY
MULTIOBJECTIVE OPTIMIZATION
SCANNING ELECTRON MICROSCOPY
SURFACE MORPHOLOGY
SURFACE PROPERTIES
TUNGSTEN CARBIDE
TURNING
COATED CARBIDE INSERT
EN 24 STEEL
MILLING PROCESS
OPTIMISATIONS
RESPONSE-SURFACE METHODOLOGY
SCANNING ELECTRON MICROSCOPE
SCANNING ELECTRONS
SURFACE INTEGRITY
SURFACE IRREGULARITIES
TUNGSTEN-COATED CARBIDE INSERT
SURFACE ROUGHNESS
URI: http://elar.urfu.ru/handle/10995/141554
Условия доступа: info:eu-repo/semantics/openAccess
cc-by
Идентификатор SCOPUS: 85188234605
Идентификатор WOS: 001189525100001
Идентификатор PURE: 55354605
ISSN: 2296-8016
DOI: 10.3389/fmats.2024.1269608
Сведения о поддержке: Deanship of Scientific Research, King Khalid University; Khon Kean University, KKU, (R.G.P.2/591/44); Khon Kean University, KKU
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University (KKU) for funding this research through the Research Group Program Under the Grant Number: (R.G.P.2/591/44).
Карточка проекта РНФ: Deanship of Scientific Research, King Khalid University; Khon Kean University, KKU, (R.G.P.2/591/44); Khon Kean University, KKU
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University (KKU) for funding this research through the Research Group Program Under the Grant Number: (R.G.P.2/591/44).
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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