<p>With the development of industry, hub bearings are used more and more widely, but the manufacturing process of bearing rings is complex. In this study, the precision die forging process parameters of hub bearing rings were taken as the research object. Based on Deform-3D software, the whole process finite element modeling of the precision die forging process for hub bearing rings was carried out and the metal flow in the simulation results was analyzed. The effects of friction coefficient, billet temperature, die temperature, and die speed on metal flow, forging load, and die wear depth during ring forming were investigated by single-factor method. According to the results of single factor, the response surface model of friction coefficient, billet temperature, die temperature, and die speed for forging load and die wear depth was established based on the Design-Expert platform and analyzed comprehensively. Finally, the above process parameters were optimized by establishing a multi-objective optimization function. Finally, the optimal process parameters of precision die forging of hub bearing ring are determined.</p>

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Optimization of Precision Die Forging Process Parameters of Hub Bearing Ring Based on Response Surface Method

  • Junling Li,
  • Ao Wang,
  • Jialong Lu,
  • Naizheng Kang,
  • Jianghua Huang,
  • Baoyu Wang,
  • Qingchun Fan

摘要

With the development of industry, hub bearings are used more and more widely, but the manufacturing process of bearing rings is complex. In this study, the precision die forging process parameters of hub bearing rings were taken as the research object. Based on Deform-3D software, the whole process finite element modeling of the precision die forging process for hub bearing rings was carried out and the metal flow in the simulation results was analyzed. The effects of friction coefficient, billet temperature, die temperature, and die speed on metal flow, forging load, and die wear depth during ring forming were investigated by single-factor method. According to the results of single factor, the response surface model of friction coefficient, billet temperature, die temperature, and die speed for forging load and die wear depth was established based on the Design-Expert platform and analyzed comprehensively. Finally, the above process parameters were optimized by establishing a multi-objective optimization function. Finally, the optimal process parameters of precision die forging of hub bearing ring are determined.