Kurumun Atıf Alan Makalesi
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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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Evaluation of Machinability of Cu Matrix Composite Materials by Computer Numerical Control Milling under Cryogenic LN2 and Minimum Quantity Lubrication
Scopus
Havuzumuzda 15 atıf almış
This study focuses on the machinability properties of hybrid reinforced (Co-Mo) copper matrix composite materials. For this purpose, surface roughness (Ra), flank wear (Vb), and cutting temperature (Tc) analyses of hybrid composite materials were performed using CNC milling with dry, air, MQL (minimum amount of lubrication) and cryogenic LN2 cooling/lubrication supports. Two different cutting speeds (200-300 m/min) and two different feed rates (0.2-0.3 mm/rev) were used as cutting parameters. Taguchi L16 orthogonal array was chosen in the experimental design. In addition, chip morphologies of composites processed with different cooling/lubricating supports were examined. As a result, it was seen that the most effective factor on Ra, Vb and Tc levels was cooling/lubrication. A4B1C3D2 (reinforcement rate-level 4, cooling conditions-level 1, cutting speed-level: 3, feed rate-level: 2) equations for surface roughness, A3B1C4D2 (reinforcement rate-level 3, cooling conditions-level 1, cutting speed-level: 4, feed rate-level: 2) for flank wear and A3B1C4D2 (reinforcement rate-level 3, cooling conditions-level 1, cutting speed-level: 4, feed rate-level: 2) for cutting temperature were obtained. Compared to dry machining, approximately 88% improvement in surface roughness, approximately 72% improvement in flank wear and approximately 56% improvement in cutting speed was noted. It was determined that the chips obtained during the CNC milling experiments were of the desired type and size. The most suitable chip was cryo-LN2 type.
Atıf Yapan Makale Bilgileri
Kurumlar (2)
Bingöl Üniversitesi
Bingol, Turkey
Inönü Üniversitesi
Malatya, Turkey