Swarm Optimisation to Model the Surface Roughness of an AISI 4340 Turning using the Hot Machining Process

Authors

  • Ismail Thamrin Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia
  • Amrifan Saladin Mohruni Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia
  • Irsyadi Yani Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia
  • Riman Sipahutar Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia
  • Zulkarnain Ali Leman Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia

DOI:

https://doi.org/10.37934/arfmts.117.2.147156

Keywords:

Swarm optimization, surface roughness, hot machining, turning, prediction model

Abstract

Given that surface roughness is used to determine product quality, it is a crucial consideration in turning machining. Moreover, it considerably affects the cost of machining. This study forecasts surface roughness values for AISI 304 stainless-steel hot lathe machining using the particle swarm optimisation (PSO) methodology. The workpiece is heated to 100, 150 or 200 degrees Celsius before being turned. Afterwards, the depth, speed and feeding rate of cutting are adjusted to determine the surface roughness of the workpiece. The feeding rate is determined to be the most considerable influence in raising the surface roughness value, followed by cutting depth, cutting speed and workpiece temperature. In terms of accuracy, empirical modelling performs better. The PSO methodology illustrates an effective and straightforward method that can be applied to calibrate different empirical machining models.

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Author Biographies

Ismail Thamrin, Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia

ismailthamrin@ft.unsri.ac.id

Amrifan Saladin Mohruni, Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia

mohrunias@unsri.ac.id

Irsyadi Yani, Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia

irsyadiyani@unsri.ac.id

Riman Sipahutar, Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia

rimansipahutar@ft.unsri.ac.id

Zulkarnain Ali Leman, Department of Mechanical Engineering, Faculty of Engineering, Universitas Sriwijaya, Palembang, Indonesia

zulkarnain@ft.unsri.ac.id

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Published

2024-05-30

How to Cite

Ismail Thamrin, Amrifan Saladin Mohruni, Irsyadi Yani, Riman Sipahutar, & Zulkarnain Ali Leman. (2024). Swarm Optimisation to Model the Surface Roughness of an AISI 4340 Turning using the Hot Machining Process. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 117(2), 147–156. https://doi.org/10.37934/arfmts.117.2.147156

Issue

Vol. 117 No. 2: May (2024)

Section

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