Machining Parameter Evaluation and Optimization for 080M40 Steel Turning
DOI:
https://doi.org/10.53273/cybpbc30Abstract
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 evaluationReferences
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.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Journal of Content Validation

This work is licensed under a Creative Commons Attribution 4.0 International License.

