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Wpływ geometrii płytek skrawających na chropowatość powierzchni w obróbce wykończeniowej

Osak Mateusz, Żyłka Wojciech

Obróbka Metalu

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2022

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nr 1

32--36

PL

W artykule przedstawiono badania wpływu geometrii płytek tokarskich na chropowatość powierzchni. Obróbce toczeniem poddano dwa rodzaje stali: 1.0503 (C45) oraz 1.6582 (34CrNiMo6) w formie wałka o średnicy Ø 50. Badano otrzymaną chropowatość powierzchni toczonych trzema rodzajami płytek DCET 11T3005R (z geometrią ostrza Wiper), WNMG080404, VBMT160404. Wyniki badań jednoznacznie wykazały, że powierzchnie obrobione płytkami typu Wiper charakteryzują się mniejszymi wartościami parametrów chropowatości niż obrobione płytkami o geometrii standardowej.

EN

In this paper investigates how the geometry of turning plates affects the surface roughness were described. Two steel types were machined: 1. 0503 (C45) and 1. 6582 (34CrNiMo6) in the form of a shaft with a diameter of Ø50. The resulting surface roughness was investigated with three plate types DCET 11T3005R (with Wiper geometry), WNMG080 404, VBMT160 404. The test results clearly showed that surfaces treated with Wiper geometry plates have lower roughness parameters than plates with standard geometry.

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Optimization of process parameters in turning of magnesium AZ91D alloy for better surface finish using genetic algorithm

Pradeep Kumar Madhesan, Venkatesan Rajamanickam, Manimurugan Manickam

Acta Innovations

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2022

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no. 43

54--62

EN

This research examined at the optimum cutting parameters for producing minimum surface roughness and maximum Material Removal Rate (MRR) when turning magnesium alloy AZ91D. Cutting speed (m/min), feed (mm/rev), and cut depth (mm) have all been considered in the experimental study. To find the best cutting parameters, Taguchi's technique and Response Surface Methodology (RSM), an evolutionary optimization techniques Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II) were employed. GA gives better results of 34.04% lesser surface roughness and 15.2% higher MRR values when compared with Taguchi method. The most optimal values of surface roughness and MRR is received in multi objective optimization NSGA-II were 0.7341 µm and 9460 mm3/min for the cutting parameters cutting speed at 140.73m/min, feed rate at 0.06mm/min and 0.99mm depth of cut. Multi objective NSGA-II optimization provides several non-dominated points on Pareto Front model that can be utilized as decision making for choice among objectives.

3

Effect of technological parameters on the surface roughness of aluminium alloys after turning

Zagórski Ireneusz, Warda Tomasz

Advances in Science and Technology. Research Journal

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2018

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Vol. 12, no 2

144--149

EN

The paper analyses the effect of technological parameters of turning (vc and f) on the 2D surface roughness parameters of aluminium alloys. Turning was carried out with SVJBL 2525 M11 shank tool, with VCGT 110302FN-25P insert, dedicated for machining light alloys. Three aluminium alloy types were examined in the study: 7075, 2024, 6082. The present study is focused on selected 2D surface texture parameters, and concludes that feed exerts considerable impact on the surface quality. Simultaneously, the findings of the study indicate that from the technological perspective the change of cutting speed vc does not impact the quality of the machined surface.

4

Unconfined laminar nanofluid flow and heat transfer around a rotating circular cylinder in the steady regime

Bouakkaz R., Salhi F., Khelili Y., Quazzazi M., Talbi K.

Archives of Thermodynamics

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2017

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Vol. 38, no. 2

3--20

EN

In this work, steady flow-field and heat transfer through a copper-water nanofluid around a rotating circular cylinder with a constant nondimensional rotation rate α varying from 0 to 5 was investigated for Reynolds numbers of 5–40. Furthermore, the range of nanoparticle volume fractions considered is 0–5%. The effect of volume fraction of nanoparticles on the fluid flow and heat transfer characteristics are carried out by using a finite-volume method based commercial computational fluid dynamics solver. The variation of the local and the average Nusselt numbers with Reynolds number, volume fractions, and rotation rate are presented for the range of conditions. The average Nusselt number is found to decrease with increasing value of the rotation rate for the fixed value of the Reynolds number and volume fraction of nanoparticles. In addition, rotation can be used as a drag reduction technique.