Abdullah Aslan
Selçuk University
19 Papers
35 Citations
Abdullah Aslan is an academic researcher from Selçuk University. The author has contributed to research in topics: Metal matrix composite & Machining. The author has an hindex of 10, co-authored 19 publications.
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Papers
A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends.
Mustafa Kuntoğlu,Abdullah Aslan,Danil Yurievich Pimenov,Üsame Ali Usca,Emin Salur,Munish Kumar Gupta,Munish Kumar Gupta,Tadeusz Mikolajczyk,Khaled Giasin,Wojciech Kapłonek,Shubham Sharma +10 more
TL;DR: In this paper, the effect of sensorial data on tool wear by considering previous published papers is discussed, and the main aim is to discuss the impact of sensual data on tools' wear and surface roughness.
Hepatitis E virus: Epidemiology, diagnosis, clinical manifestations, and treatment
TL;DR: There is an urgent need for novel antiviral compounds that are safe and effective particularly for patients having contraindications for ribavirin or interferon-alpha and infected by the ribaviral-resistant HEV.
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Modeling of Cutting Parameters and Tool Geometry for Multi-Criteria Optimization of Surface Roughness and Vibration via Response Surface Methodology in Turning of AISI 5140 Steel
Mustafa Kuntoğlu,Abdullah Aslan,Danil Yurievich Pimenov,Khaled Giasin,Tadeusz Mikolajczyk,Shubham Sharma +5 more
TL;DR: A good agreement between predicted and measured values was obtained with the developed model to predict surface roughness and vibration during turning of AISI 5140 within a 10% error range.
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Optimization and Analysis of Surface Roughness, Flank Wear and 5 Different Sensorial Data via Tool Condition Monitoring System in Turning of AISI 5140.
Mustafa Kuntoğlu,Abdullah Aslan,Haci Saglam,Danil Yurievich Pimenov,Khaled Giasin,Tadeusz Mikolajczyk +5 more
TL;DR: This study investigates the optimization of five different sensorial criteria, additional to tool wear (VB) and surface roughness (Ra), via the Tool Condition Monitoring System (TCMS) for the first time in the open literature.
The Effects of MQL and Dry Environments on Tool Wear, Cutting Temperature, and Power Consumption during End Milling of AISI 1040 Steel
Emin Salur,Mustafa Kuntoğlu,Abdullah Aslan,Danil Yurievich Pimenov +3 more
- 20 Oct 2021
TL;DR: In this paper, the authors focus on the performance evaluation of minimum quantity lubrication (MQL) and dry milling environments with AISI 1040 steel, where the tool wear, cutting temperature, and power consumption were considered as the quality responses while cutting speed, feed rate, and machining environment are taken as input parameters.
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