Uncertainty analysis of cutting parameters during grinding based on RSM optimization and Monte Carlo simulation
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Carl Hanser Verlag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Due to the importance of high surface quality of machined parts, regarding its functional requirements, it is necessary to determine an appropriate set of grinding parameters. According to the uncertainty of the machining process, the statistical techniques have recently been used to set up an experimental-based model for estimating the performance of machining parameters and optimizing them. The purpose of this study is to demonstrate the modeling and optimization of the grinding process using three approaches. First, multi non-linear regression (MNLR) based on central composite design (CCD) was used to determine the process model. Then the grinding parameters were optimized considering response surface methodology (RSM). Finally, the probabilistic uncertainty analysis was applied by using Monte Carlo simulation as a function of wheel speed and feed rate.. The surface roughness value, which was named the response variable, was estimated by fitting the MNLR model with a predicted regression coefficient (R-pred(2)) of 84.69 %. Wheel speed of 4205.6 rpm and feed rate of 2.969 mm x min(-1) were calculated as RSM-optimized conditions with a surface roughness of 2.26326 mu m. The verification experiments were performed with three replications to verify the predicted surface roughness value obtained with the derived model, and 2.263 +/- 2 % mu m of surface roughness was calculated using RSM optimized conditions. Monte Carlo simulations were found to be quite effective for identification of the uncertainties in surface roughness that could not be identified by deterministic ways.
Açıklama
Anahtar Kelimeler
Flat Glass, Grinding Wheel, Multi Non-linear Regression, Response Surface Optimization, Monte Carlo Simulation
Kaynak
Materials Testing
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
61
Sayı
12
