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Optimization of machining parameters of 2.25Cr1Mo0.25V steel based on response surface method and genetic algorithm

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Abstract

High-strength steel 2.25Cr–1Mo–0.25V is an important material for making large pressure vessels due to its superior performance. First, study the effect of the interaction between cutting parameters on cutting force and material removal rate (MRR). The central composite response surface method was used to establish the prediction model of cutting force and MRR during the process of turning high strength steel 2.25Cr–1Mo–0.25V. Secondly, the variance analysis method was used to test the predictive model and the significance of each input parameter. The influence of the interaction between cutting parameters on the cutting force and MRR is analyzed, and the accuracy of the prediction model was further verified. Finally, the genetic algorithm is used to obtain the optimal combination of cutting parameters and the minimum cutting force and maximum MRR.

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Acknowledgements

Thanks to the support of the National Natural Science Foundation of China (51775151).

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Authors and Affiliations

  1. College of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, 150080, China

    Wei Zhang, Lei Zhang, Shuqi Wang, Baichen Ren & Shuai Meng

  2. Measurement-Control Technology and Instrument Key Laboratory of Universities in Heilongjiang Province, Harbin University of Science and Technology, Harbin, 150080, China

    Wei Zhang

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  1. Wei Zhang
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Correspondence to Lei Zhang.

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Zhang, W., Zhang, L., Wang, S. et al. Optimization of machining parameters of 2.25Cr1Mo0.25V steel based on response surface method and genetic algorithm. Int J Interact Des Manuf 13, 809–819 (2019). https://doi.org/10.1007/s12008-018-00525-8

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  • DOI: https://doi.org/10.1007/s12008-018-00525-8

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