6533b86efe1ef96bd12cc7f3

RESEARCH PRODUCT

Using regression analysis method to model and optimize the quality of chip-removing processed metal surfaces

Alina Bianca PopMihail Aurel ȚîțU

subject

Chemistry020208 electrical & electronic engineeringProcess (computing)Mechanical engineeringRegression analysis02 engineering and technology021001 nanoscience & nanotechnologyChipQuality (physics)lcsh:TA1-20400202 electrical engineering electronic engineering information engineeringRange (statistics)Point (geometry)lcsh:Engineering (General). Civil engineering (General)0210 nano-technologyArithmetic mean

description

The paper aim is to identify based on regression analysis, the quantitative relationship between the cutting process parameters (cutting speed, cutting depth and feed per tooth) and the arithmetic mean deviation of the surface profile, measured longitudinally and transversely on the cutting feed direction, which describe the system at any point in the chosen experimentally studied range. The equations coefficients means the influence of the variables on the pursued answer.

yearjournalcountryeditionlanguage
2017-01-01MATEC Web of Conferences
https://doi.org/10.1051/matecconf/201711201009