Skip to content

Author

Muhammed İşci

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Oct 2026

Evaluation of multi-location accelerometer sensor configurations for vibration-based classification of CNC milling conditions

In CNC milling processes, vibration signals are a crucial data source that directly reflects machining dynamics and changes in cutting conditions. This study aims to classify material type, feed rate, and depth-of-cut using data-driven vibration signals obtained during CNC milling of Al6061 and Al7075 aluminum alloys...

Muhammed İşci · 0 citations
Open access Sep 2026

Multi-Axis Acceleration Response Prediction in Milling: An Artificial Intelligence-Based Approach

Vibrations generated during cutting in machining processes present a significant challenge, directly impacting surface quality, tool longevity, and processing efficiency. Accurate modeling of vibration behavior under varying cutting conditions is therefore essential for advancing the understanding of machining dynamics...

Muhammed İşci · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.