I. Asiltürk

发表

Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods

İlhan Asiltürk, Suleyman Neseli, Mehmet Alper Ince, 2016 .

Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method

İlhan Asiltürk, Harun Akkuş, H. Akkuş, 2011 .

An intelligent system approach for surface roughness and vibrations prediction in cylindrical grinding

Levent Çelik, Mustafa Tinkir, Ilhan Asiltürk, 2012, Int. J. Comput. Integr. Manuf..

Application of artificial intelligent to predict surface roughness

I. Asiltürk, I. Asiltürk, 2014, Experimental Techniques.

Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method

Mehmet Çunkas, Ilhan Asiltürk, M. Çunkaş, 2011, Expert Syst. Appl..

Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis

İlhan Asiltürk, Suleyman Neseli, Suleyman Neseli, 2012 .

Intelligent adaptive control and monitoring of band sawing using a neural-fuzzy system

İlhan Asiltürk, Ali Ünüvar, Ali Ünüvar, 2009 .

A Comprehensive Analysis of Surface Roughness, Vibration, and Acoustic Emissions Based on Machine Learning during Hard Turning of AISI 4140 Steel

Mustafa Kuntoğlu, E. Salur, H. Akkuş, 2023, Metals.

Determining the optimum process parameter for grinding operations using robust process

İlhan Asiltürk, Levent Çelik, Süleyman Neşeli, 2012 .

Noncontact surface roughness measurement using a vision system

Erdinç Koçer, Erhan Horozoglu, Ilhan Asiltürk, 2015, Other Conferences.