Analysis of Grinding of Superalloys and Ceramics for Off-Line ProcessOptimization

摘要

The present study has compared the performances of resinoid, vitrified andelectroplated CBN wheels in creep feed grinding of M42 and D2 tool steels. Responses such as a specific energy, normal and tangential forces, and surface roughness were used as measures of performance. It was found that creep feed grinding with resinoid, vitrified and electroplated CBN wheels has its own advantages, but no single wheel could provide good finish, lower specific energy and high material removal rates simultaneously. To optimize the CBN grinding with different bonded wheels, a Multiple Criteria Decision Making (MCDM) methodology was used. Creep feed grinding of superalloys, Ti-6Al-4V and Inconel 718, has been modeled by utilizing neural networks to optimize the grinding process. A parallel effort was directed at Creep Feed Grinding of Alumina Ceramics with Diamond wheels to investigate the influence of process variables on responses based on experimental results and statistical analysis. The conflicting influence of variables was observed. This led to the formulation of ceramic grinding process as a multi-objective non-linear mixed integer problem.