东北大学学报(自然科学版) ›› 2025, Vol. 46 ›› Issue (2): 85-95.DOI: 10.12068/j.issn.1005-3026.2025.20230241

• 机械工程 • 上一篇    下一篇

激光定向能量沉积NiCo-FGMs的磨削工艺优化

辛博(), 曹刚, 秦嘉鑫, 赵显力   

  1. 东北大学 机械工程与自动化学院,辽宁 沈阳 110819
  • 收稿日期:2023-08-18 出版日期:2025-02-15 发布日期:2025-05-20
  • 通讯作者: 辛博
  • 作者简介:辛 博(1988—),男, 吉林通化人,东北大学副教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(52005093);中央高校基本科研业务费专项资金资助项目(N2203014);辽宁省科学技术计划面上项目(2023-MS-085)

Grinding Process Optimization of Laser-Directed Energy Deposited NiCo-FGMs

Bo XIN(), Gang CAO, Jia-xin QIN, Xian-li ZHAO   

  1. School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110819,China.
  • Received:2023-08-18 Online:2025-02-15 Published:2025-05-20
  • Contact: Bo XIN

摘要:

为解决激光定向能量沉积(laser-directed energy deposition, L-DED)成型工艺制备的镍钴基功能梯度材料(NiCo-FGMs)磨削后表面质量一致性较差这一问题,基于正交试验分析了磨削工艺参数对NiCo-FGMs的磨削力和表面粗糙度的影响规律,并建立相应的预测模型.针对粗加工与精加工的不同加工目标,利用第二代非支配排序遗传算法(NSGA-Ⅱ)结合熵权法与逼近理想解的排序方法即熵权TOPSIS(technique for order proference by similarity to ideal solution)法进行了多目标磨削工艺参数优化,并进行验证.结果表明:粗加工磨削参数采用ap = 53.61 μm,vs = 29.99 m/s,vw = 311.89 mm/min;精加工磨削参数采用ap = 14.96 μm,vs = 29.99 m/s,vw = 300.92 mm/min.经两道工序加工,表面粗糙度标准差从0.195 μm降至0.101 μm,有效提高NiCo-FGMs的表面粗糙度一致性.

关键词: 镍钴基功能梯度材料(NiCo-FGMs), 激光定向能量沉积(L-DED), 磨削力, 表面粗糙度

Abstract:

In order to solve the problem of poor surface quality consistency after the grinding of nickel-cobalt-based functional gradient materials (NiCo-FGMs) prepared by laser-directed energy deposition (L-DED) and forming process, the influence laws of the grinding process parameters on the grinding force and surface roughness of NiCo-FGMs were analyzed based on the orthogonal experiments, and the corresponding prediction model was established. For the different processing objectives of rough machining and finish machining, the multi-objective grinding process parameter optimization was carried out and verified by using the second-generation non-dominated sorting genetic algorithm (NSGA-Ⅱ) and the entropy weight technique for order preference by similarity to ideal solution (TOPSIS) method. The results showed that the rough machining parameters are used ap = 53.61 μm, vs = 29.99 m/s, vw = 311.89 mm/min, and the finish machining parameters are used ap = 14.96 μm, vs = 29.99 m/s, vw = 300.92 mm/min. After the two-stage machining, the standard deviation of surface roughness is reduced from 0.195 μm to 0.101 μm, which effectively improves the surface roughness consistency of NiCo-FGMs.

Key words: nickel-cobalt-based functional gradient materials (NiCo-FGMs), laser-directed energy deposition (L-DED), grinding force, surface roughness

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