Modelling and experimental analysis of shear-slitting process of light metal alloys using FEM, SPH and vision-based methods

Bohdal, Ł.; Kukiełka, L.; Świłło, S.; Radchenko, Andrii; Kułakowska, A.

doi:10.1063/1.5092063

Cited by 27 publications

(14 citation statements)

References 11 publications

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“…Modern methods, including ANSIS [24][25][26], can be used for simulation 27, 28 and optimizing 29-31 the processes and regimes of operation as well as statistical treatment of experimental data [32][33][34]. For estimating the efficiency of such greening and fuel saving technologies during the operation in actual climatic conditions various methods of modelling [35,36] are applied.…”

Section: Literature Reviewmentioning

confidence: 99%

Absorption of pollutants from exhaust gases by low-temperature heating surfaces

Kornienko¹,

Radchenko²,

Radchenko³

et al. 2021

E3S Web Conf.

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One of the most effective methods aimed to improving the environmental safety is fuel oil combustion in the form of specially prepared water-fuel emulsions. The combustion of water-fuel emulsion in internal combustion engines makes it possible to reduce a rate of low-temperature corrosion at wall temperatures below the dew point temperature of sulfuric acid vapor, to install a condensing lowtemperature heating surface in the exhaust gas boiler that leads to increase the efficiency of boiler. Therefore, it is of great importance to assess the effect of the presence of condensate (water, acid) and pollution on these surfaces on the processes of NOx, SO2 absorption from exhaust gases. Investigations of SO2, NOx and particulate matter emission were carried out on the experimental installation for fuel oil and water-fuel emulsion combustion with different water content. Using condensing heating surface enables to reduce the concentration of NOx and SO2 by 65 %. Experimental studies have shown that condensing heating surface ensures the capture of up to 30 % of particulate matter from the exhaust gas flow.

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Section: Literature Reviewmentioning

confidence: 99%

Absorption of pollutants from exhaust gases by low-temperature heating surfaces

Kornienko¹,

Radchenko²,

Radchenko³

et al. 2021

E3S Web Conf.

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“…Modern methods, including ANSIS [31][32][33], can be used for simulation and optimizing the processes. Some of methodological approaches gained in waste heat recovery refrigeration [34,35] might be successfully applied in air conditioning to choose design refrigeration capacity to match current cooling demand [36,37].…”

Section: Literature Reviewmentioning

confidence: 99%

Alternative variable refrigerant flow (VRF) air conditioning systems with rational distribution of thermal load

et al. 2021

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One of the most attractive reserves of enhancing the energetic efficiency of air conditioning systems (ACS) is to provide operation of compressors in closed to nominal modes by choosing the rational design refrigeration capacities and their distribution according to current thermal loading to provide closed to maximum annual refrigeration energy generation. Generally, the overall thermal load band of any ACS comprises the unstable load range, corresponding to ambient air precooling with significant load fluctuations, and a comparatively stable load part for further air conditioning from a threshold temperature to a target value. The stable thermal load range can be covered by operation of conventional compressor in closed to nominal mode, meantime ambient air precooling needs load modulation by applying a variable speed compressor. A proposed ACS enables a wide range of refrigerant flow variation without heat flux drop in air coolers and can be considered as advanced alternative to variable refrigerant flow systems.

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“…Kukiełka [ 54 , 55 , 56 , 57 , 58 , 59 ] used variational method to formulate the equations of motion for a typical incremental step and for nonlinear problems in metal forming processes, because there is nothing to account for the incremental formulation. In [ 5 , 28 , 59 , 60 ], we present the detailed modeling algorithms and mathematical formulations applied to cutting processes. In this paper, this method has been used to model the shear slitting process.…”

Section: Fe and Sph Modelingmentioning

confidence: 99%

Modeling and Experimental Analysis of Shear-Slitting of AA6111-T4 Aluminum Alloy Sheet

et al. 2020

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This work presents experimental studies with numerical modeling, aiming at the development of guidelines for shaping aluminum alloy AA6111-T4, t = 1.5 mm thick, with the use of a shear-slitting operation. During the experimental tests, parametric analyses were conducted for the selected material thickness. For the purposes of the material deformation’s analysis, a vision system based on the digital image correlation (DiC) method was used. Numerical models were developed with the use of finite element analysis (FEA) and the mesh-free method: smoothed particle hydrodynamics (SPH), which were used to analyze the residual stress and strain in the cutting zone at different process conditions. The results indicate a significant effect of the horizontal clearance between knives on the width of the deformation zone on sheet cut edge. Together with the clearance value increase, the deformation zone increases. The highest burrs on the cut edge were obtained, when the slitting speed was set to v = 17 m/min, and clearance to hc = 6%t. A strong influence was observed of the horizontal clearance value at high slitting speeds on burr unshapeliness. The most favorable conditions were obtained for v = 32 m/min, hc = 0.062 mm, and rake angle of upper knife for α = 30°. For this configuration, a smooth sheared edge with minimal burr height was obtained.

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Modelling and experimental analysis of shear-slitting process of light metal alloys using FEM, SPH and vision-based methods

Cited by 27 publications

References 11 publications

Absorption of pollutants from exhaust gases by low-temperature heating surfaces

Absorption of pollutants from exhaust gases by low-temperature heating surfaces

Alternative variable refrigerant flow (VRF) air conditioning systems with rational distribution of thermal load

Modeling and Experimental Analysis of Shear-Slitting of AA6111-T4 Aluminum Alloy Sheet

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