Simultaneous effects of cutting depth and tool overhang on the vibration behavior of cutting tool and high-cycle fatigue behavior of product: Experimental research on …

DG Allenov, KD Borisovna, S Ghorbani… - … International Journal of …, 2022 - Springer
One of the major challenges in the manufacturing parts, especially metals, is turning with
good/excellent surface quality, which has a significant effect on the fatigue strength of the …

Prediction and analysis of surface roughness characteristics of a non-ferrous material using ANN in CNC turning

C Natarajan, S Muthu, P Karuppuswamy - The International Journal of …, 2011 - Springer
Surface roughness, an indicator of surface quality is one of the most-specified customer
requirements in a machining process. For efficient use of machine tools, optimum cutting …

[PDF][PDF] Surface roughness prediction for CNC milling process using artificial neural network

MFFA Rashid, MRA Lani - Proceedings of the World Congress on …, 2010 - Citeseer
In CNC milling process, proper setting of cutting parameter is important to obtain better
surface roughness. Unfortunately, conventional try and error method is time consuming as …

[PDF][PDF] Investigation of cutting parameters of surface roughness for a non-ferrous material using artificial neural network in CNC turning

C Natarajan, S Muthu… - Journal of Mechanical …, 2011 - academicjournals.org
Surface roughness, an indicator of surface quality is one of the most specified customer
requirements in a machining process. For efficient use of machine tools, optimum cutting …

[HTML][HTML] Determination of the actual deflection of the cutting tool ın turning by the Castigliano theorem

M Kiyak, B Kaner - Journal of Radiation Research and Applied Sciences, 2023 - Elsevier
The turning method is a widely utilized technique in machining. The effect of machining
parameters on the machining quality in turning is quite high. A longer tool overhang reduces …

Investigation of cutting parameters of surface roughness for brass using artificial neural networks in computer numerical control turning

C Natarajan, S Muthu… - Australian Journal of …, 2012 - Taylor & Francis
Surface roughness, an indicator of surface quality, is one of the most specified customer
requirements in a machining process. For efficient use of machine tools, optimum cutting …

[PDF][PDF] Prediction of surface roughness for CNC turning of EN8 steel bar using artificial neural network model

A Srivastava, A Sharma, AS Gaur, R Kumar… - Journal Européen des …, 2019 - academia.edu
Manufacturing organizations are under tremendous pressure to produce quality products at
reduced manufacturing cost with shorter time-to-market. A good combination of process …

[PDF][PDF] International Journal of Intelligent Systems and Applications in Engineering

S Tasdemir - 2018 - pdfs.semanticscholar.org
Technological improvements put computer systems in the center of our life and various
scientific disciplines. These can range from controlling a device in our home to public …

[PDF][PDF] YÜZEY PÜRÜZLÜLÜĞÜNÜN YAPAY SİNİR AĞI VE REGRESYON MODELLERİ İLE BELİRLENMESİ VE KARŞILAŞTIRILMASI

Ş Taşdemir - Selcuk University Journal of Engineering Sciences, 2011 - sujes.selcuk.edu.tr
Özet İmalat teknolojisinde, malzemenin kullanılabilirliğini ve maliyetleri etkileyen en önemli
hususların başında ürün yüzey kalitesinin belirlenmesi gelmektedir. Bu nedenle imalat …

Yapay Sinir Ağları İle Al/Sic Kompozit Malzemenin Yüzey Pürüzlülüğünün Tahmini

İ Şahin - Gazi Üniversitesi Mühendislik Mimarlık Fakültesi …, 2014 - dergipark.org.tr
Bu çalışmada Al/SiC kompozit malzemenin yüzey pürüzlülüğü kesme parametrelerine bağlı
olarak yapay sinir ağları yaklaşımı kullanılarak yüksek doğrulukta tahmin edilmiştir. Al/SiC …