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Machining scheme of aviation bearing bracket based on additive and subtractive hybrid manufacturing

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Abstract

Aviation bearing bracket is an important part of aircraft and other aviation products. In this paper, based on additive and subtractive hybrid manufacturing technology with high manufacturing flexibility and high machining accuracy, a machining scheme of aviation bearing bracket is designed. First, milling simulation was carried out to obtain the influence law of different cutting parameters on machining deformation, so as to guide the selection of reasonable finish machining parameters in the subsequent process planning. Then, the temperature field distribution of workpiece in the additive manufacturing was simulated, and the influence of different additive manufacturing parameters on the results was analyzed to determine the parameter selection range. Finally, considering the material utilization rate, machining accuracy, machining efficiency and machinability in the machining process of aviation bearing bracket, and proceeding from additive, subtractive and alternating manufacturing methods, the manufacturing process arrangement and process planning for aviation bearing bracket were designed.

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Abbreviations

ε:

Reference strain rate

T r :

Reference temperature

T m :

Material melting point

A,B,n :

Coefficient of material strain strengthening term

c :

Coefficient of material strain rate strengthening term

m :

Coefficient of material thermal softening

ω :

Failure parameter

\(\overline \varepsilon _0^{pl}\) :

Initial value of equivalent plastic strain

\({\rm{\Delta }}{\overline \varepsilon ^{pl}}\) :

Equivalent plastic strain increment

\(\overline \varepsilon _f^{pl}\) :

Failure strain

T c :

Sliding shear stress on contact surface

µ :

Friction coefficient

σ n :

Pressure on the contact surface

T s :

Critical yield pressure of material

References

  1. M. Yampolskiy, W. King, G. Pope, S. Belikovetsky and Y. Elovici, Evaluation of additive and subtractive manufacturing from the security perspective, Rice M. and Shenoi S. (eds), Critical Infrastructure Protection XI. ICCIP 2017. IFIP Advances in Information and Communication Technology, Springer, Cham (2017).

    Google Scholar 

  2. Z. Zhu, V. Dhokia and S. T. Newman, The development of a novel process planning algorithm for an unconstrained hybrid manufacturing process, J. of Manufacturing Processes, 15 (4) (2013) 404–413.

    Article  Google Scholar 

  3. S. T. Newman, Z. Zhu, V. Dhokia and A. Shokrani, Process planning for additive and subtractive manufacturing technologies, CIRP Annals, 64 (1) (2015) 467–470.

    Article  Google Scholar 

  4. V. T. Le, H. Paris and G. Mandil, Extracting features for manufacture of parts from existing components based on combining additive and subtractive technologies, International J. on Interactive Design and Manufacturing, 12 (2) (2018) 525–536.

    Article  Google Scholar 

  5. V. T. Le, H. Paris and G. Mandil, Extraction of features for combined additive manufacturing and machining processes in a remanufacturing context, Advances on Mechanics, Design Engineering and Manufacturing. Lecture Notes in Mechanical Engineering, Springer, Cham (2017).

    Google Scholar 

  6. L. Li, A. Haghighi and Y. Yang, A novel 6-axis hybrid additive-subtractive manufacturing process: Design and case studies, J. of Manufacturing Processes, 33 (2018) 150–160.

    Article  Google Scholar 

  7. L. Li, A. Haghighi and Y. Yang, Theoretical modelling and prediction of surface roughness for hybrid additive-subtractive manufacturing processes, IISE Transactions, 51 (2) (2019) 1–11.

    Article  Google Scholar 

  8. K. L. Basinger, C. B. Keough, C. E. Webster, R. A. Wysk, T. M. Martin and O. L. Harrysson, Development of a modular computer-aided process planning (CAPP) system for additive-subtractive hybrid manufacturing of pockets, holes, and flat surfaces, The International J. of Advanced Manufacturing Technology, 96 (5–8 (2018) 2407–2420.

    Article  Google Scholar 

  9. J. Liu and A. C. To, Topology optimization for hybrid additive-subtractive manufacturing, Structural and Multidisciplinary Optimization, 55 (4) (2017) 1281–1299.

    Article  MathSciNet  Google Scholar 

  10. W. P. Essink, J. M. Flynn, S. Goguelin and V. Dhokia, Hybrid ants: A new approach for geometry creation for additive and hybrid manufacturing, Procedia Cirp, 60 (2017) 199–204.

    Article  Google Scholar 

  11. A. E. Patterson and J. T. Allison, Manufacturability constraint formulation for design under hybrid additive-subtractive manufacturing, Proceedings of the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems, Quebec, Canada (2018).

  12. J. Liu, Y. Zheng, Y. Ma, A. Qureshi and R. Ahmad, A topology optimization method for hybrid subtractive-additive remanufacturing, International J. of Precision Engineering and Manufacturing-Green Technology (2019).

  13. M. Behandish, S. Nelaturi and J. de Kleer, Automated process planning for hybrid manufacturing, Computer-Aided Design, 102 (2018) 115–127.

    Article  Google Scholar 

  14. O. Abdulhameed, A. M. Al-Ahmari, W. Ameen and S. H. Mian, Novel dynamic CAPP system for hybrid additive-subtractive-inspection process, Rapid Prototy** J., 24 (6) (2018) 988–1002.

    Article  Google Scholar 

  15. K. Zeng, Research on the cutting process simulation based on finite element analysis, Applied Mechanics and Materials, 427–429 (2013) 425–428.

    Article  Google Scholar 

  16. W. Chen, L. Zheng, X. Teng, K. Yang and D. Huo, Finite element simulation and experimental investigation on cutting mechanism in vibration-assisted micro-milling, The International J. of Advanced Manufacturing Technology, 105 (2019) 4539–4549.

    Article  Google Scholar 

  17. A. G. Mamalis, M. Honrath, A. S. Branis and D. E. Manolakos, Finite element simulation of chip formation in orthogonal metal cutting, J of Materials Processing Technology, 110 (1) (2001) 19–27.

    Article  Google Scholar 

  18. Q. Y. Jiang, The temperature field simulation during laser cladding process, Advanced Materials Research, 450–451(2012) 235–238.

    Google Scholar 

  19. Y. Zhou, J. Tan, C. Yao, C. Li, X. Wang, W. Zhou and X. Wang, Finite-element simulation and experiments on plastic heating in the process of electromagnetic pulse forming, IEEE Transactions on Plasma Science, 46 (10) (2018) 3427–3437.

    Article  Google Scholar 

  20. S. L. Chen, Y. J. Cai, G. H. Li and Z. G. Liu, Simulation of die gap variation in temperature field distribution of high strength steel hot stam** process, Advanced Materials Research, 652–654(2013) 2048–2052.

    Google Scholar 

  21. S. Ford and M. Despeisse, Additive manufacturing and sus-tainability: an exploratory study of the advantages and challenges, J. of Cleaner Production, 137 (2016) 1573–1587.

    Article  Google Scholar 

  22. V. T. Le, H. Paris and G. Mandil, Environmental impact assessment of an innovative strategy based on an additive and subtractive manufacturing combination, J. of Cleaner Production, 164 (2017) 508–523.

    Article  Google Scholar 

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Authors and Affiliations

  1. College of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China

    Yunpeng **e, Jianbin Tong, Yuqiang Fu & Zhongqi Sheng

Authors
  1. Yunpeng **e
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  2. Jianbin Tong
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  3. Yuqiang Fu
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  4. Zhongqi Sheng
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Corresponding author

Correspondence to Zhongqi Sheng.

Additional information

Zhongqi Sheng is an Associated Professor in the College of Mechanical Engineering and Automation at Northeastern University, in China. He completed his Ph.D., Master’s and undergraduate studies at Northeastern University. He mainly works on the hybrid manufacturing, structural optimization and digital transformation.

Yunpeng **e received his B.S. in Mechanical Engineering from Dalian Jiaotong University, Dalian, China. He is currently a Master’s candidate of the College of Mechanical Engineering and Automation at Northeastern University, in Shenyang, China. His research interests include hybrid manufacturing and topology optimization.

Jianbin Tong received his B.S. in Mechanical Engineering from North University of China. He is currently a Master’s candidate in the College of Mechanical Engineering and Automation at Northeastern University, in Shenyang, China. His research interests include additive manufacturing, structural optimization, and specializing in topology optimization.

Yuqiang Fu received his B.S. in Mechanical Engineering from Northeastern University, Shenyang, China. He is currently a Master’s candidate in the College of Mechanical Engineering and Automation at Northeastern University. His research interests include hybrid manufacturing and topology optimization.

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**e, Y., Tong, J., Fu, Y. et al. Machining scheme of aviation bearing bracket based on additive and subtractive hybrid manufacturing. J Mech Sci Technol 34, 3775–3790 (2020). https://doi.org/10.1007/s12206-020-0829-5

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  • DOI: https://doi.org/10.1007/s12206-020-0829-5

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