Journal ArticleDOI
Investigation of progressive tool wear for determining of optimized machining parameters in turning
Mustafa Kuntoğlu,Haci Saglam +1 more
TLDR
In this paper, the authors used the Taguchi method for determining number of experiment while variance analysis (ANOVA) deals with which parameter/s is/are effective on output to reduce tool wear and tool breakage.About:
This article is published in Measurement.The article was published on 2019-07-01. It has received 115 citations till now. The article focuses on the topics: Tool wear & Cutting tool.read more
Citations
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Journal ArticleDOI
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.
Journal ArticleDOI
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
Mustafa Kuntoğlu,Haci Saglam +1 more
TL;DR: Monitoring of the cutting area with different type of sensors requires confirmation for composing sensor fusion to obtain longer tool life and high-quality product to enable more reliable, robust and consistent machining.
Journal ArticleDOI
Intelligent monitoring and diagnostics using a novel integrated model based on deep learning and multi-sensor feature fusion
TL;DR: A novel integrated model based on deep learning and multi-sensor feature fusion is proposed that can achieve multisensory feature fusion to overcome the first weakness and show that the proposed model is more robust and accurate.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
References
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Journal ArticleDOI
Key improvements in the machining of difficult-to-cut aerospace superalloys
TL;DR: In this article, the authors present an overview of major advances in machining techniques that have resulted to step increase in productivity, hence lower manufacturing cost, without adverse effect on the surface finish, surface integrity, circularity and hardness variation of the machined component.
Journal ArticleDOI
Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method
İlhan Asiltürk,Harun Akkuş +1 more
TL;DR: In this paper, the authors used the L9 orthogonal array in a CNC turning machine to optimize turning parameters based on the Taguchi method to minimize surface roughness (Ra and Rz).
Journal ArticleDOI
Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts
TL;DR: In this article, the Taguchi method and regression analysis have been applied to evaluate the machinability of Hadfield steel with PVD TiAlN- and CVD TiCN/Al 2 O 3 -coated carbide inserts under dry milling conditions.
Journal ArticleDOI
Optimization of surface roughness, cutting force and tool wear of nitrogen alloyed duplex stainless steel in a dry turning process using Taguchi method
TL;DR: In this paper, the dry turning parameters of two different grades of nitrogen alloyed duplex stainless steel are optimized by using Taguchi method and the results revealed that the feed rate is the more significant parameter influencing the surface roughness and cutting force.
Journal ArticleDOI
Optimization of flank wear using Zirconia Toughened Alumina (ZTA) cutting tool: Taguchi method and Regression analysis
TL;DR: In this article, Taguchi method and regression analysis have been applied to assess machinability of AISI 4340 steel with newly developed Zirconia Toughened Alumina (ZTA) ceramic inserts.
Related Papers (5)
Optimization and analysis of process parameters for flank wear, cutting forces and vibration in turning of AISI 5140: A comprehensive study
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
Mustafa Kuntoğlu,Haci Saglam +1 more