3 research outputs found
Mikro frezeleme kuvvetlerinin belirsizlik analizi ve olasılıksal modellemesi
Cataloged from PDF version of article.Thesis (M.S.): Bilkent University, Department of Industrial Engineering, İhsan Doğramacı Bilkent University, 2017.Includes bibliographical references (leaves 50-55).Force modeling based on process input parameters is usually considered as the
first step in process modeling. Predicting process forces in micromilling is dif-
ficult due to complex interaction between the cutting edge and the work material,
size effect, and process dynamics. This study describes the application of
Bayesian inference to identify force coefficients in the micromilling process. The
Metropolis-Hastings (MH) algorithm Markov chain Monte Carlo (MCMC) approach
has been used to identify probability distributions of cutting, edge, and
ploughing force coefficients based on experimental measurements and a mechanistic
model of micromilling. The Bayesian inference scheme allows for predicting
the upper and lower limits of micromilling forces, providing useful information
about stability boundary calculations and robust process optimization. In the
first part, experiments are performed to investigate the in
uence of micromilling
process parameters on machining forces, tool edge condition, and surface texture.
Built-up edge formation is observed to have a significant in
uence on the process
outputs in micromilling of titanium alloy Ti6Al4V. In the second part, Bayesian
inference is applied to model micromilling forces. The effectiveness of employing
Bayesian inference in micromilling force modeling considering special machining
cases is discussed. In the third part, finite element simulation of machining processes
is employed and process outputs are used to update our knowledge about
force coefficients. As a result of uncertainty analysis, the mean and standard
deviations of the micromilling forces can be estimated. Bayesian inference can be
useful since previous evidence or expertise is insufficient, or when obtaining the
related information requires costly and time-consuming machining experiments.by Erman Gözü.M.S
Yarım asırlık derginin son on yılı : Akbaba
Ankara : İhsan Doğramacı Bilkent Üniversitesi İktisadi, İdari ve Sosyal Bilimler Fakültesi, Tarih Bölümü, 2014.This work is a student project of the The Department of History, Faculty of Economics, Administrative and Social Sciences, İhsan Doğramacı Bilkent University.by Ünsal, Mehmet Süha