Machining Parameter Evaluation and Optimization for 080M40 Steel Turning

Authors

  • Abraham Ahmadul Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Serdang, Malaysia
  • Liakat Ali Sikdar Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Serdang, Malaysia

Abstract

The purpose of this study was to optimize and assess the machining parameters for turning 080M40 steel on a lathe. The use of tool materials and process parameters for machining forces for a chosen parameter range and the estimation of ideal performance characteristics are the subjects of this study. Provide a process for machining parameters and cutting force optimization. This array can handle three-level process parameters and has 26 degrees of freedom. There are twenty-seven possible combinations of cutting parameters, each of which is assigned to a column. Consequently, the L9 orthogonal array can be used to study the entire parameter space with just twenty-seven experiments. Three levels of analysis were performed on each parameter to investigate the nonlinear relationship between process parameters. The orthogonal array (OA) technique, a fractional factorial with a pair-wise balancing property, served as the foundation for the designed experiments. Depending on the objective function, an appropriate S/N ratio is selected in order to examine the variation in response. In the current study, a quality characteristic that results from process parameter variations within a designed range to minimize cutting force is a force on the tool. Thus, the S/N ratio for the "Lower the better" response type was applied, and it is provided by.

Keywords:

Orthogonal array, ANOVA, Taguchi method, Optimization and evaluation

References

Alam et al., 2025. (2025). Online Corrective Feedback and Self-Regulated Writing: Exploring Student

Perceptions and Challenges in Higher Education. 15(06), 139–150. https://doi.org/https://doi.org/10.5430/wjel.v15n6p139

Budlender, D. (2002). ‘Gender Budgets: What’s in it for NGOs?’, Gender and Development, vol. 10, no.

3, pp. 82-87.

Barnett, K. and Grown, C. (2004). ‘Gender Impacts of Government Revenue Collection: The Case of

Taxation’, Commonwealth Secretariat, London.

G. Akhyar, C.H. Che Haron, J.A. Ghani, “Application of Taguchi Method in the Optimization of Turning

Parameters for Surface Roughness; International Journal of Science Engineering and Technology,” Vol. 1, No. 3, 60-66, 2008.

Ersan Aslan a, Necip Camuscu a, Burak Birg ren, “Design optimization of cutting parameters when

turning hardened AISI 4140 steel (63 HRC) with Al2O3 + TiCN mixed ceramic tool; Materials and Design,” 1618– 1622, 28 ,2007.

Indrajit Mukherjee, Pradip Kumar Ray, “A review of optimization techniques in metal cutting

processes; Computers & Industrial Engineering,” 15–34, 50, 2006.

J. Paulo Davim , Lui´s Figueira, “Machinability evaluation in hard turning of cold work tool steel (D2)

with ceramic tools using statistical techniques; Materials and Design,” 1186–1191, 28, 2007.

Alakesh Manna, Sandeep Salodkar, “Optimization of machiningconditions for effective turning of

E0300 alloy steel; journal of materials processing technology,” 147–153, 203, 2008.

Zhang Xuepinga, Gao Erweia, C. Richard Liu, “Optimization of process parameter of residual stresses

for hard turned surfaces; Journal of Materials Processing Technology,” 4286–4291, 209, 2009.

Chorng-Jyh Tzeng, Yu-Hsin Lin, Yung-Kuang Yanga, Ming-Chang Jeng, “Optimization of turning.

operations with multiple performance characteristics using the Taguchi method and Grey relational analysis.

Tadros, M. (2011). ‘Women Engaging Politically: Beyond Magic Bullets and Motorways’, Pathways

Policy Paper, Pathways of Women’s Empowerment RPC, Brighton.

Hossen, M. S. (2023). Triumphing in the Art of Aging: Key Determinants. Int J Geriatr Gerontol,

7(166), 2577–2748.

Hossen, M. S., & Mohd Pauzi, H. B. (2023). Embracing Housing Alternatives for the Enhancement of

Wellbeing in the Aging Population: A Qualitative Study J Aging Neuro Psychol 4: 120. DOI, 10, 2688–6499.

Hossen, M. S., Pauzi, H. B. M., & Salleh, S. F. B. (2023). Enhancing Elderly Well-being Through Age-

Friendly Community, Social Engagement and Social Support. American J Sci Edu Re: AJSER-135.

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Published

03-10-2025

How to Cite

Machining Parameter Evaluation and Optimization for 080M40 Steel Turning. (2025). Journal of Content Validation, 1(1), 101-106. https://cvsgm.org/jcv/article/view/22

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