Kurumun Atıf Alan Makalesi
Atıf Alan Yayın
Investigation of progressive tool wear for determining of optimized machining parameters in turning
Scopus
Toplam 177 atıf DOI
On-line monitoring of tool wear and tool breakage are very important to reduce production costs through the optimization of machining parameters. Increasing cutting forces affect workpiece quality and tool condition that is the ultimate aim of production line and progressive tool wear which can trigger the tool breakage. Taguchi method is extensively used for determining number of experiment while variance analysis (ANOVA) deals with which parameter/s is/are effective on output. This study contains experiments and optimization processes during turning of AISI 1050 material with 3 input parameters (cutting speed, feed rate, tool tip) using Taguchi method. In order to determine the condition of the cutting tool, measurement of tangential cutting force and acoustic emission (AE) were carried out during metal removing. ANOVA results showed that cutting speed is the most effective about %45 and tool tip is the second about %35 on tool wear. On the other hand, the effect of feed rate on tangential cutting force (%88) and cutting speed on AE (%80) is remarkably higher than the other two parameters. In order to obtain the minimum tool wear value, the optimum cutting parameters have been selected as v 1 = 135 m/min, f 2 = 0,214 mm/rev, T 2 = P25. By implemented sensor system tool breakage can be successfully detected and used for producing high quality materials with low costs.
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Atıf Yapan Yayın
Comprehensive review of advanced methods for improving the parameters of machining steels
Scopus
Havuzumuzda 52 atıf almış
The extensive range of steel types and classifications results in a diverse set of properties such as plasticity, heat resistance, strength, and corrosion resistance. This diversity enables the creation of alloys with varying machinability, from easy to hard-to-cut. This review focuses on the intricate interplay between mechanical characteristics of steel and machinability indicators such as tool wear, tool life, material removal rate (MRR), and chip formation. This review also highlights innovative strategies to enhance steel's machinability through the manipulation of cutting conditions. These approaches range from dry cutting to sophisticated cooling systems such as minimum quantity lubrication (MQL), cryogenic lubrication (CL), and high-pressure cooling (HPC). Additionally, the impact of tool design, including geometry and surface texturing, is scrutinized, along with the deployment of advanced tool materials and coatings. Furthermore, the paper investigates the efficacy of assisted machining techniques, including vibrational, thermal, and hybrid methods. A comprehensive review of advanced machining operations (encompassing turning, drilling, milling, and grinding) elucidates the potential improvements in surface integrity and machinability of steel. The review also addresses the challenges and future opportunities in this domain. In conclusion, the exploration into the machinability of steel underscores its significance as a versatile material in various industries. By understanding and optimizing the machining dynamics and employing innovative strategies, there is potential to further enhance the properties and machinability of steel alloys. This review provides valuable data compilation for researchers, engineers, and industry professionals seeking to advance the utilization of a large array of steel variants in manufacturing processes.
Atıf Yapan Makale Bilgileri
Kurumlar (5)
Pontifícia Universidade Católica do Paraná
Curitiba, Brazil
Selçuk Üniversitesi
Selçuklu, Turkey
South Ural State University
Chelyabinsk, Russian Federation
Universidade Federal de Uberlândia
Uberlandia, Brazil
Universidade Federal do Piauí
Teresina, Brazil