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Experimental study on the low-feed grooving process with different grooving tools

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Abstract

The requirement of grooved surface and grooving forces is improved for the machining of precision and small parts in the modern industry. Reducing the grooving feed rate is an effective method to improve the surface quality and lower the cutting forces. But small feed rate results in the problems of chip breaking and cutting vibration. Improvement of tool geometry is the solution to the problems, however, The matching relationship between the tool geometry and the feed rate is not clear. In this paper, three grooving tools (N123G5-0300-0002-CM, GZD3002-MC, and N123G5-0300-0001-CF respectively) with different parameters have been selected and a series of grooving experiments have been performed. The experimental results show that the initial state and the steady state will produce two different kinds of chips during the grooving process. For CF tools, chip breaking occurs when the feed rate is higher than 0.04 mm/rev, and the feed rate should be higher than 0.06 mm/rev for the other two tools. An analytical model for calculating surface roughness considering the tool geometry parameters and feed rate has been proposed. The elastic recovery of the grooved surface has been analyzed to explain the error between analytical results and experimental results.

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References

  1. Deng WJ, Xie ZC, Li Q, Lin P (2013) Finite element modelling and simulation of chip breaking with grooved tool. Int J Simul Model 12:264–275

    Article  Google Scholar 

  2. Rusinek R, Wiercigroch M, Wahi P (2015) Orthogonal cutting process modelling considering tool-workpiece frictional effect. Procedia CIRP 31:429–434

    Article  Google Scholar 

  3. Rech J, Moisan A (2003) Surface integrity in finish hard turning of case-hardened steels. Int J Mach Tools Manuf 43:543–550

    Article  Google Scholar 

  4. Benga GC, Abrao AM (2003) Turning of hardened 100Cr6 bearing steel with ceramic and PCBN cutting tools. J Mater Process Technol 143-144:237–241

    Article  Google Scholar 

  5. Bi XF, Sutter G, List G, Liu YX (2009) Influence of chip curl on tool-chip contact length in high speed machining. Mater Sci Forum 626-627:71–74

    Article  Google Scholar 

  6. Kuo RY, Junz Wang JJ, Lee RN (2018) Effect of insert groove geometry on chip breaking performance[J]. J Mech 34(1):67–73

  7. Thil J, Haddag B, Nouari M, Barlier C, Papillon L (2013) Experimental and analytical analyses of the cutting process in the deep hole drilling with BTA (boring trepanning association) system. Mech Ind 14(6):413–429

    Article  Google Scholar 

  8. Li LH, Yu NH, Chan CY, Lee WB (2018) Al6061 surface roughness and optical reflectance when machined by single point diamond turning at a low feed rate. PLoS One 13:e0195083

    Article  Google Scholar 

  9. Zahari THLH (2010) Insert geometry effects on surface roughness in turning process of AISI D2 steel. J Zhejiang Univ 11:966–971

    Article  Google Scholar 

  10. Lotfi M, Akhavan Farid A, Soleimanimehr H (2015) The effect of chip breaker geometry on chip shape, bending moment, and cutting force: FE analysis and experimental study. Int J Adv Manuf Technol 78:917–925

    Article  Google Scholar 

  11. Zhang XP, Wu SB (2017) Chip control in the dry machining of hardened AISI 1045 steel. Int J Adv Manuf Technol 88:3319–3327

    Article  Google Scholar 

  12. Yılmaz B, Karabulut Ş, Güllü A (2018) Performance analysis of new external chip breaker for efficient machining of Inconel 718 and optimization of the cutting parameters. J Manuf Process 32:553–563

    Article  Google Scholar 

  13. Kouadri S, Necib K, Atlati S, Haddag B, Nouari M (2013) Quantification of the chip segmentation in metal machining: application to machining the aeronautical aluminium alloy AA2024-T351 with cemented carbide tools WC-Co. Int J Mach Tools Manuf 64:102–113

    Article  Google Scholar 

  14. Liao T, Jiang F, Yan L, Cheng X (2017) Optimizing the geometric parameters of cutting edge for finishing machining of Fe-Cr-Ni stainless steel. Int J Adv Manuf Technol 88:2061–2073

    Article  Google Scholar 

  15. Neşeli S, Yaldız S, Türkeş E (2011) Optimization of tool geometry parameters for turning operations based on the response surface methodology. Measurement 44:580–587

    Article  Google Scholar 

  16. Shahabi HH, Ratnam MM (2009) In-cycle monitoring of tool nose wear and surface roughness of turned parts using machine vision. Int J Adv Manuf Technol 40:1148–1157

    Article  Google Scholar 

  17. Zhang P, Liu Z (2016) Modeling and prediction for 3D surface topography in finish turning with conventional and wiper inserts. Measurement 94:37–45

    Article  Google Scholar 

  18. Jiang L, Wang D (2019) Finite-element-analysis of the effect of different wiper tool edge geometries during the hard turning of AISI 4340 steel. Simul Model Pract Th 94:250–263

    Article  Google Scholar 

  19. Yip WS, To S (2017) Reduction of material swelling and recovery of titanium alloys in diamond cutting by magnetic field assistance. J Alloys Compd 722:525–531

    Article  Google Scholar 

  20. Liu K, Melkote SN (2006) Effect of plastic side flow on surface roughness in micro-turning process. Int J Mach Tools Manuf 46:1778–1785

    Article  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (grant number 51705162), the Natural Science Foundation of Fujian Province (grant number 2018J01077), and Technology Cooperation Project and Subsidized Project for Postgraduates’ Innovative Fund in Scientific Research of Huaqiao University (grant number 17013080040).

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Authors and Affiliations

  1. Institute of Manufacturing Engineering, Huaqiao University, Xiamen, 361021, Fujian, China

    Jialu Xu, Fuzeng Wang, Feng Jiang & Jialin Chen

  2. College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, 361021, Fujian, China

    Xian Wu

  3. Machine Tool Factory, Dongfang Turbine Co., Ltd., Deyang, 618000, Sichuang, China

    Hong Xie

  4. Xiamen Golden Egret Special Alloy Co.,Ltd., Xiamen, 361006, Fujian, China

    Jiewei Wang & Wenkun Lin

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  1. Jialu Xu
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  2. Fuzeng Wang
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  3. Feng Jiang
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  4. Jialin Chen
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  5. Xian Wu
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  6. Hong Xie
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  7. Jiewei Wang
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  8. Wenkun Lin
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Correspondence to Feng Jiang.

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Xu, J., Wang, F., Jiang, F. et al. Experimental study on the low-feed grooving process with different grooving tools. Int J Adv Manuf Technol 107, 4755–4766 (2020). https://doi.org/10.1007/s00170-020-05338-2

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  • DOI: https://doi.org/10.1007/s00170-020-05338-2

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