EMPIRICAL STUDY ON MODELING AND OPTIMIZATION OF THE DUPLEXSTEELMILLING PROCESS: A SYSTEMATIC LITERATURE REVIEW

Authors

  • L.F Braga Author
  • C.H de Oliveira Author
  • W.P Ribeiro Author
  • T.G Brito Author
  • J.de Nadae Author

DOI:

https://doi.org/10.51473/rcmos.v1i1.2024.542

Keywords:

Optimization; Duplex steel; RSM; Milling

Abstract

 One of the main production processes used in the metalworking industry is end milling. Thistechnique is 
used in the manufacture of automotive parts, molds and work tools in general. Duplex steel is a metallic alloy 
basically composed of 20% to 30% chromium and 5 to 10% nickel, with very low carbon content (less than 0.03%) 
and with additions of nitrogen, molybdenum, tungsten and copper. Response Surface Methodology (RSM) is a
statistical technique used for modeling and analyzing problems in which the response variable is influenced by 
several factors, the objective of which is to optimize this response. The objective is to present a literature review 
focused on work that was carried out by modeling and optimizing the steel end milling process using RSM, seeking 
to identify the evolution of the topic over the years and gaps for improvement. To achieve this objective, the 
Systematic Literature Review was applied, which is a transparent, scientific and replicable method for carrying out
the literature review.

Downloads

Download data is not yet available.

References

GUPTA, Munish Kumar; SOOD, P. K.; SHARMA, Vishal S. Machining parameters optimization

of titanium alloy using response surface methodology and particle swarm optimization under

minimum-quantity lubrication environment. Materials and Manufacturing Processes, v. 31, n.

, p. 1671-1682, 2016.

MIA, Mozammel; DHAR, Nikhil Ranjan. Prediction of surface roughness in hard turning under

high pressure coolant using Artificial Neural Network. Measurement, v.92, p. 464-474, 2016.

VORA, Jay et al. Fabrication of Multi-Walled Structure through Parametric Study of Bead

Geometries of GMAW-Based WAAM Process of SS309L. Materials, v. 16, n. 14, p. 5147, 2023.

GÜNEŞ, Aydın et al. Optimization study on surface roughness and tribological behavior of

recycled cast iron reinforced bronze MMCs produced by hot pressing. Materials, v. 14, n. 12, p.

, 2021.

Cox, D. R. “Regression Models and Life-Tables.” Journal of the Royal Statistical Society. Series

B (Methodological) 34, no. 2 (1972): 187–220. http://www.jstor.org/stable/2985181. Todas as

obras

SHAW, Milton Clayton; COOKSON, J. O. Metal cutting principles. New York: Oxford

university press, 2005.

MYERS, Raymond H.; MONTGOMERY, Douglas C.; ANDERSON-COOK, Christine

M. Response surface methodology: process and product optimization usingdesigned

experiments. John Wiley & Sons, 2016.

KHAN, Khalid S.; KUNZ, Regina; KLEIJNEN, Jos; ANTES, Gerd. Cinco etapas para conduzir

uma revisão sistemática.Jornal da Royal Society of Medicine,[S.l.], v. 96, pág. 3–6, 2003. DOI:

1177/014107680309600304.

TRANFIELD, David; DENYER, David; SMART, Palminder. Rumo a uma metodologia para

desenvolver conhecimento de gestão baseado em evidências por meio de revisão

sistemática.Jornal Britânico de Gestão,[S.l.], v. 3, pág. 207–222, 2003. DOI: 10.1111/1467-

00375.

PIMENOV, Danil Yu et al. Improvement of machinability of Ti and its alloys using coolinglubrication techniques: A review and future prospect. Journal of materials research and

technology, v. 11, p. 719-753, 2021.

AAMIR, Muhammad et al. A review: Drilling performance and hole quality of aluminium alloys

for aerospace applications. Journal of Materials Research and Technology, v. 9, n. 6, p. 12484-

, 2020.

RAJAK, Dipen Kumar et al. Recent progress of reinforcement materials: A comprehensive

overview of composite materials. Journal of Materials Research and Technology, v. 8, n. 6, p.

-6374, 2019.

PIMENOV, Danil Yu et al. Improvement of machinability of Ti and its alloys using coolinglubrication techniques: A review and future prospect. Journal of materials research and

technology, v. 11, p. 719-753, 2021.

ZHANG, Yanbin et al. Nano-enhanced biolubricant in sustainable manufacturing: from

processability to mechanisms. Friction, v. 10, n. 6, p. 803-841, 2022.

DAS, Subhash; VORA, Jaykumar J.; PATEL, Vivek. Regulated Metal Deposition (RMDTM)

technique for welding applications: an advanced gas metal arc welding process. Advances in

welding technologies for process development, p. 23-32, 2019.

KUNTOĞLU, Mustafa et al. A review of indirect tool condition monitoring systems and

decision-making methods in turning: Critical analysis and trends. Sensors, v. 21, n. 1, p. 108,

ABUBAKR, Mohamed et al. Sustainable and smart manufacturing: an integrated approach.

Sustainability, v. 12, n. 6, p. 2280, 2020.

SINGH, Sunpreet et al. Current status and future directions of fused filament fabrication. Journal

of Manufacturing Processes, v. 55, p. 288-306, 2020.

VORA, Jay et al. Machining parameter optimization and experimental investigations of nanographene mixed electrical discharge machining of nitinol shape memory alloy. journal of

materials research and technology, v. 19, p. 653-668, 2022.

ELSHEIKH, Ammar H. et al. Modeling of solar energy systems using artificial neural network: A

comprehensive review. Solar Energy, v. 180, p. 622-639, 2019.

GUTIÉRREZ, Juan Carlos Horta et al. Usinabilidade de materiais compósitos poliméricos para

aplicações automotivas. Polímeros, v. 24, p. 711-719, 2014.

TEJANI, Ghanshyam G.; SAVSANI, Vimal J.; PATEL, Vivek K. Adaptive symbiotic organisms

search (SOS) algorithm for structural design optimization. Journal of Computational Design

and Engineering, v. 3, n. 3, p. 226-249, 2016.

PFEIFFER, Stefan et al. Direct laser additive manufacturing of high performance oxide ceramics:

A state-of-the-art review. Journal of the European Ceramic Society, v. 41, n. 13, p. 6087-6114,

MANIMARAN, G. et al. Investigation of surface modification and tool wear on milling Nimonic

A under hybrid lubrication. Tribology International, v. 155, p. 106762, 2021.

SHARMA, Shubham et al. Essential oils as additives in active food packaging. Food Chemistry,

v. 343, p. 128403, 2021.

HEGAB, Hussien et al. Design for sustainable additive manufacturing: A review.

Sustainable Materials and Technologies, p. e00576, 2023

Published

2024-06-24

How to Cite

BRAGA, L.F; DE OLIVEIRA, C.H; RIBEIRO, W.P; BRITO, T.G; NADAE, J.de. EMPIRICAL STUDY ON MODELING AND OPTIMIZATION OF THE DUPLEXSTEELMILLING PROCESS: A SYSTEMATIC LITERATURE REVIEW. Multidisciplinary Scientific Journal The Knowledge, Brasil, v. 1, n. 1, 2024. DOI: 10.51473/rcmos.v1i1.2024.542. Disponível em: https://submissoesrevistacientificaosaber.com/index.php/rcmos/article/view/542.. Acesso em: 19 sep. 2024.

Similar Articles

You may also start an advanced similarity search for this article.