In this study, the machined surface quality of powder metallurgy nickel-based superalloy FGH96 (similar to Rene88DT) and the grinding characteristics of brown alumina (BA) and microcrystalline alumina (MA) abrasive wheels were comparatively analyzed during creep feed grinding. The influences of the grinding parameters (abrasive wheel speed, workpiece infeed speed, and depth of cut) on the grinding force, grinding temperature, surface roughness, surface morphology, tool wear, and grinding ratio were analyzed comprehensively. The experimental results showed that there was no significant difference in terms of the machined surface quality and grinding characteristics of FGH96 during grinding with the two types of abrasive wheels. This was mainly because the grinding advantages of the MA wheel were weakened for the difficult-to-cut FGH96 material. Moreover, both the BA and MA abrasive wheels exhibited severe tool wear in the form of wheel clogging and workpiece material adhesion. Finally, an analytical model for prediction of the grinding ratio was established by combining the tool wear volume, grinding force, and grinding length. The acceptable errors between the predicted and experimental grinding ratios (ranging from 0.6 to 1.8) were 7.56% and 6.31% for the BA and MA abrasive wheels, respectively. This model can be used to evaluate quantitatively the grinding performance of an alumina abrasive wheel, and is therefore helpful for optimizing the grinding parameters in the creep feed grinding process.

中文翻译：

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粉末冶金镍基高温合金FGH96与氧化铝砂轮的蠕动进给磨削过程中机械加工表面质量和刀具磨损的研究

在这项研究中，比较分析了蠕动进给磨削过程中粉末冶金镍基高温合金FGH96（类似于Rene88DT）的机械加工表面质量以及棕色氧化铝（BA）和微晶氧化铝（MA）砂轮的磨削特性。全面分析了磨削参数（砂轮速度，工件进给速度和切削深度）对磨削力，磨削温度，表面粗糙度，表面形态，刀具磨损和磨削比的影响。实验结果表明，在用两种类型的砂轮磨削时，FGH96的加工表面质量和磨削特性均无显着差异。这主要是因为难切削的FGH96材料削弱了MA砂轮的磨削优势。此外，BA和MA砂轮都表现出严重的工具磨损，形式为砂轮堵塞和工件材料粘附。最后，结合刀具磨损量，磨削力和磨削长度，建立了预测磨削率的分析模型。BA和MA砂轮的预测磨削比和实验磨削比（介于0.6至1.8之间）的可接受误差分别为7.56％和6.31％。该模型可用于定量评估氧化铝砂轮的研磨性能，因此有助于优化蠕动进料研磨过程中的研磨参数。通过结合刀具磨损量，磨削力和磨削长度，建立了预测磨削率的分析模型。BA和MA砂轮的预测磨削比和实验磨削比（介于0.6至1.8之间）的可接受误差分别为7.56％和6.31％。该模型可用于定量评估氧化铝砂轮的研磨性能，因此有助于优化蠕动进料研磨过程中的研磨参数。通过结合刀具磨损量，磨削力和磨削长度，建立了预测磨削率的分析模型。BA和MA砂轮的预测磨削比和实验磨削比（介于0.6至1.8之间）的可接受误差分别为7.56％和6.31％。该模型可用于定量评估氧化铝砂轮的研磨性能，因此有助于优化蠕动进料研磨过程中的研磨参数。