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Abstract

In this research, an effective multiobjective optimal method is proposed for investigating to find suitable fabricating factors of CNC turning process for sphere surfaces of 304 stainless steel material applied for industrial arts based on physical vapor deposition (PVD) coating technology in the mechanical engineering field. A combination of Taguchi method (TM), response surface method (RSM) and teaching learning-based optimization (TLBO) was suggested for optimizing fabricating factors to advance the superiority features. In the first stage, a number of initial experiments of the fabricating parameters were generated by the TM. Secondly, mathematical equations of the main fabricating parameters and surface roughness, turning time and dimension error were then established by employing the RSM. Furthermore, analysis of variance as well as sensitivity analysis were carried out for evaluating significant effects of fabricating factors on the surface roughness, turning time and fabricating dimension error. According to the analysis of variance consequences, feed rate (41.58%) and nose radius (16.48%) are the two elements that most significantly affect surface roughness. However, the proportions of the feed rate and cutting velocity to turning time were 82.92% and 8.27%, respectively and the feed rate was the most influential effect parameter on the CNC turning time. Especially, the fabricating depth and cutting velocity were the two main factors influencing on dimension error with relatively small 10.46% and 8.81%, respectively. In the end, the TLBO was carried out based on mathematical models to define the ideal factors. The optimized findings showed a dimension inaccuracy of 0.015 mm and an optimized surface roughness of roughly 0.986 µm. Additionally, the errors in dimension inaccuracy, CNC turning time, and surface roughness between experimental verifications and anticipated outcomes were around 2.83%, 16.19%, and 5.67%, respectively. As a result, the experimental verification results aligned with the predictions made by the suggested optimization technique. These findings showed that the suggested integration approach may effectively define the ideal fabrication factors for CNC turning processes using stainless steel 304 based on PVD coating technology for industrial arts. It can also be expanded to apply to complex multiobjective optimization issues.

Keywords

Stainless steel Taguchi method CNC turning sphere surface response surface method teaching learning-based optimization algorithm

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References

Ghani

Choudhury

Hassan

. Application of Taguchi method in the optimization of end milling parameters. J Mater Process Technol 2004; 145: 84–92.

Samtaş

. Optimisation of cutting parameters during the face milling of AA5083-H111 with coated and uncoated inserts using Taguchi method. Int J Mach Mach Mater 2015; 17: 211–232.

Golpira

Bevrani

. Application of GA optimization for automatic generation control design in an interconnected power system. Energy Convers Manage 2011; 52: 2247–2255.

Soori

Arezoo

Habibi

. Tool deflection error of three-axis computer numerical control milling machines, monitoring and minimizing by a virtual machining system. J Manuf Sci Eng 2016; 138: 081005.

Basu

Chowdhury

. Cuckoo search algorithm for economic dispatch. Energy 2013; 60: 99–108.

Safa

Ahmadi

Mehrmashadi

, et al. Selection of the most influential parameters on vectorial crystal growth of highly oriented vertically aligned carbon nanotubes by adaptive neuro-fuzzy technique. Int J Hydromechatron 2020; 3: 238–251.

Kadirgama

Noor

Rahman

. Optimization of surface roughness in end milling on mould aluminium alloys (AA6061-T6) using response surface method and radian basis function network. Jourdan J Mech Ind Eng 2008; 2: 209–214.

Sangeetha

Amalanathan

. Outlier detection in neutrosophic sets by using rough entropy based weighted density method. CAAI Trans Intell Technol 2020; 5: 121–127.

Kaur

Singh

Kumar

. Color image encryption using minimax differential evolution-based 7D hyper-chaotic map. Appl Phys B 2020; 126: 1–19.

10.

Prakash

Kansal

Pabla

, et al. Multi-objective optimization of powder mixed electric discharge machining parameters for fabrication of biocompatible layer on β-Ti alloy using NSGA-II coupled with Taguchi based response surface methodology. J Mech Sci Technol 2016; 30: 4195–4204.

11.

Wiens

. Engine speed reduction for hydraulic machinery using predictive algorithms. Int J Hydromechatron 2019; 2: 16–31.

12.

Ghosh

Shivakumara

Roy

, et al. Graphology based handwritten character analysis for human behaviour identification. CAAI Trans Intell Technol 2020; 5: 55–65.

13.

Gupta

Shabaz

, et al. Deep learning techniques for cancer classification using microarray gene expression data. Front Physiol 2022; 13: 952709.

14.

Dang

Chau

, et al. Optimization for a flexure hinge using an effective hybrid approach of fuzzy logic and moth-flame optimization algorithm. Math Probl Eng 2021; 2021: 1–18.

15.

Hou

Liu

. Parameters optimization of a nano-particle wet milling process using the Taguchi method, response surface method and genetic algorithm. Powder Technol 2007; 173: 153–162.

16.

Chau

Dao

, et al. Efficient hybrid method of FEA-based RSM and PSO algorithm for multi-objective optimization design for a compliant rotary joint for upper limb assistive device. Math Probl Eng 2019; 2019: 1–14.

17.

Le Chau

Tran

Dao

. A multi-response optimal design of bistable compliant mechanism using efficient approach of desirability, fuzzy logic, ANFIS and LAPO algorithm. Appl Soft Comput 2020; 94: 106486.

18.

Garg

. A hybrid GA-GSA algorithm for optimizing the performance of an industrial system by utilizing uncertain data. In: Handbook of research on artificial intelligence techniques and algorithms. Hershey, PA: IGI Global, 2015, pp.620–654.

19.

Shrivastava

Singh

. Assessment of stable cutting zone in CNC turning based on empirical mode decomposition and genetic algorithm approach. Proc Inst Mech Eng C: J Mech Eng Sci 2018; 232: 3573–3594.

20.

Zhao

, et al. Multi-objective optimization of cutting parameters in turning AISI 304 austenitic stainless steel. Metals (Basel) 2020; 10: 217.

21.

Rao

Savsani

Vakharia

. Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems. Inf Sci (Ny) 2012; 183: 1–15.

22.

Rao

Savsani

Vakharia

. Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput-Aid Des 2011; 43: 303–315.

23.

Rao

Patel

. Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm. Appl Math Model 2013; 37: 1147–1162.

24.

Rao

Pawar

. Constrained design optimization of selected mechanical system components using Rao algorithms. Appl Soft Comput 2020; 89: 106141.

25.

Mohanraj

Thenarasu

Ragaventhra

, et al. Parameter optimization in wire electrical discharge machining using bio-inspired algorithms and response surface methodology. Int J Interact Des Manuf 2024; 89: 1–28.

26.

Zhai

Dai

Xue

. A novel teaching-learning-based optimization with laplace distribution and experience exchange. Math Probl Eng 2022; 2022: 1–13.

27.

Chen

Weng

Liu

. Teaching–learning based optimization (TLBO) with variable neighborhood search to retail shelf-space allocation. Mathematics 2020; 8: 1296.

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Optimization of CNC turning parameters with different turning tool radii for sphere surface profiles of SUS 304 material based on PVD coating technology applied for industrial arts

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