Effect of CBN grain friability in hardened steel plunge grinding

Lopes, José Cláudio; Fernandes, Lucas de Martini; Domingues, Bruno Biondo; Canarim, Rubens Chinali; Fonseca, Maria Cindra; Sanchez, Luiz Eduardo de Ângelo; Oliveira, Rodolfo Fischer Moreira de; Mello, Hamilton José de; Aguiar, Paulo Roberto de; Bianchi, Eduardo Carlos

doi:10.1007/s00170-019-03654-w

Cited by 44 publications

(1 citation statement)

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“…Grinding process is also used as the final machining step to produce a precise workpiece with good surface finish and accurate sizes [2]. It means that the failure of the grinding process may lead to irreparable result for the ground workpiece and increase extra manufacturing cost [3]. In order to ensure the grinding efficiency and avoid mechanical defects in the grinding process, the surface condition and surface morphology of the grinding wheel are most critical factors [4,5].…”

Section: Introductionmentioning

confidence: 99%

Grinding Wheel Loading Evaluation by Using Acoustic Emission Signals and Digital Image Processing

Liu

2020

Sensors

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In the manufacturing industry, grinding is used as a major process for machining difficult-to-cut materials. Grinding is the most complicated and precise machining process. For grinding machines, continuous generating gear grinding machines are widely used to machine gears which are essential machine elements. However, due to its complicated process, it is very difficult to design a reliable measurement method to identify the grinding wheel loading phenomena during the grinding process. Therefore, this paper proposes a measurement method to identify the grinding wheel loading phenomenon in the grinding process for continuous generating gear grinding machines. In the proposed approach, an acoustic emission (AE) sensor was embedded to monitor the grinding wheel conditions; an offline digital image processing technique was used to determine the loading areas over the surface of Al2O3 grinding wheels; and surface roughness of the ground workpiece was measured to quantify its machining quality. Then these three data were analyzed to find their correlation. The experimental results have shown that there are two stages of grinding in the grinding process and the proposed measurement method can provide a quantitative grinding wheel loading evaluation from the AE signals online.

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