6533b824fe1ef96bd12813a2
RESEARCH PRODUCT
Hybrid approach to surface roughness evaluation in multistage machining processes
S. BrolWit Grzesiksubject
Surface (mathematics)EngineeringArtificial neural networkbusiness.industryMetals and AlloysProcess (computing)Mechanical engineeringSurface finishFractal dimensionIndustrial and Manufacturing EngineeringComputer Science ApplicationsFractalMachiningModeling and SimulationCeramics and CompositesElectronic engineeringSurface roughnessbusinessdescription
Abstract An assessment of surface quality in turned, ground and honed specimens is made by means of a computer-based processing of digitised surface profiles. Three different methods of surface finish characterisation, i.e. statistical, fractal and neural network-based approaches are examined and compared. Correlations between some representative roughness parameters and the fractal dimension (D) values estimated were found. Consequently, they can be converted to their corresponding roughness parameters, i.e. Ra, Rz and RΔa. Finally, a set of parameters including the minimum surface finish data for machining of external cylindrical surfaces when using complex technological process, is proposed.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2003-03-01 | Journal of Materials Processing Technology |