Journal ArticleDOI
Prediction of tool life in end milling by response surface methodology
TLDR
In this article, a study of the development of mathematical models for tool life in end milling steel (190 BHN) using high-speed steel slot drills under dry conditions is presented.About:
This article is published in Journal of Materials Processing Technology.The article was published on 1997-11-23. It has received 122 citations till now. The article focuses on the topics: Machining & Response surface methodology.read more
Citations
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Journal ArticleDOI
Application of response surface methodology in the optimization of cutting conditions for surface roughness
TL;DR: In this article, the authors developed an effective methodology to determine the optimum cutting conditions leading to minimum surface roughness in milling of mold surfaces by coupling response surface methodology (RSM) with a developed GA.
Journal ArticleDOI
Application of Taguchi and response surface methodologies for geometric error in surface grinding process
TL;DR: In this article, a second-order response model for the geometric error was developed and the utilization of the response surface model was evaluated with constraints of the surface roughness and the material removal rate.
Journal ArticleDOI
Adaptive network-based fuzzy inference system for prediction of surface roughness in end milling process using hybrid Taguchi-genetic learning algorithm
TL;DR: Experimental results show that the HTGLA-based ANfIS approach outperforms the ANFIS methods given in the Matlab toolbox and reported recently in the literature in terms of prediction accuracy.
Journal ArticleDOI
An adaptive-network based fuzzy inference system for prediction of workpiece surface roughness in end milling
TL;DR: In this paper, an adaptive network based fuzzy inference system (ANFIS) was used to predict the workpiece surface roughness after the end milling process, including spindle speed, feed rate and depth of cut.
Journal ArticleDOI
The statistical modeling of surface roughness in high-speed flat end milling
Babur Ozcelik,Mahmut Bayramoglu +1 more
TL;DR: In this paper, the authors developed a statistical model for surface roughness estimation in a high-speed flat end milling process under wet cutting conditions, using machining variables such as spindle speed, feed rate, depth of cut, and step over.
References
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Book
Applied Regression Analysis
Norman R. Draper,Harry Smith +1 more
TL;DR: In this article, the Straight Line Case is used to fit a straight line by least squares, and the Durbin-Watson Test is used for checking the straight line fit.
Journal ArticleDOI
Applied regression analysis 2nd ed.
Norman R. Draper,Smith H +1 more
TL;DR: This book brings together a number of procedures developed for regression problems in current use and includes material that either has not previously appeared in a textbook or if it has appeared is not generally available.
Journal ArticleDOI
Prediction of damping in machined joints
TL;DR: In this article, the experimental investigation of damping at preloaded metallic interfaces subjected to cyclic tangential forces is concerned with the experimental measurement of various joint materials and compared the situations of different joint materials.
Journal ArticleDOI
Cutting performance of end mills with different helix angles
TL;DR: In this article, an investigation of the cutting performance of several end mills with right and left hand helix angles is reported, and it is shown that the effect of spindle speed, depth of cut and feed rate on the cutting force and surface roughness are generally significant.
Journal ArticleDOI
Prediction of tool life in hot machining of alloy steels
K. C. Lo,N. N. S. Chen +1 more
TL;DR: In this article, a tool-life predicting equation with four variables of speed, feed, depth of cut and direct current was developed and a good correlation between the predicted and actual tool life test results was obtained.