Effect of Friction on Barreling during cold Upset Forging of Aluminium 6082 Alloy Solid cylinders

Priyadarshini, Amrita; Kiran, C. Phaneendra; Suresh, Kurra

doi:10.1088/1757-899x/330/1/012072

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…According to the principle of the synchronous control system, the two hydraulic cylinders in the double-cylinder forging hydraulic press servo system are symmetrical, and the parameters are the same. Then one of the hydraulic cylinders is mathematically modeled [17][18][19]. The transfer function of the hydraulic cylinder can be composed of the flow equation of the proportional valve, the flow continuity equation of the hydraulic cylinder control chamber, and the hydraulic balance equation of the hydraulic cylinder and the load [20].…”

Section: Mathematical Modeling Of Double Cylinder Forging Hydraulic Pmentioning

confidence: 99%

Synchronization Control Algorithm of Double-Cylinder Forging Hydraulic Press Based on Fuzzy Neural Network

Xu¹,

Bai²,

Shao

2019

Algorithms

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In order to solve the poor control accuracy problem of the traditional synchronous control algorithm for a double-cylinder forging hydraulic press, a synchronous control algorithm for double-cylinder forging hydraulic press based on a fuzzy neural network was proposed. According to the flow equation of valve and hydraulic cylinder, the balance equation and force balance equation of forging hydraulic cylinder are established by using the theory of electro-hydraulic servo systems, and the cylinder-controlled transfer function of forging hydraulic cylinder is deduced. By properly simplifying the transfer function, the mathematical model of synchronous control of double cylinder forging hydraulic press is established. According to the implementation process of traditional fuzzy neural networks, the properties of compensation operation are introduced. The traditional fuzzy neural network is optimized, and the optimized neural network is used to realize the synchronous control of the double cylinder forging hydraulic press. The experimental results show that the amplitude curve of the algorithm is very close to the expected amplitude curve, the error amplitude is only 0.3 mm, and the average control time is about 140 s, which fully shows that the algorithm has high accuracy and a good control effect.

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Section: Mathematical Modeling Of Double Cylinder Forging Hydraulic Pmentioning

confidence: 99%

Synchronization Control Algorithm of Double-Cylinder Forging Hydraulic Press Based on Fuzzy Neural Network

Xu¹,

Bai²,

Shao

2019

Algorithms

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show abstract

“…At the same time, from our point of view, the wrong opinion dominates, that the barreling indicator (for example, radius) does not depend on the material properties and forming conditions, but it depends only on geometric factors and indices of boundary friction. It's obvious that in addition to the ratio of the height Н0 to the diameter D0 of the workpiece (upsetting ratio), or the reciprocal of D0/Н0 (aspect ratio) [1,2,5,[8][9][10][11], the process temperature, engineering strain ε = [(H0 -Hf)/H0], coefficient of friction, and other factors [1,2,[10][11][12][13][14][15][16], influence of which is not precisely determined, effect the non-uniformity of strain. In turn, the friction coefficient depends on the temperature, material properties, strain range and strain rate (velocity of the dies moving), as well as on the aspect ratio of the workpiece [13][14][15][16], that effect to the distribution of pressure on the die surface.…”

Section: Introductionmentioning

confidence: 99%

Correlation of Barreling Effect with Boundary Friction Coefficient during Upsetting of Various Materials Workpieces under Processing Conditions

Kukhar

Klimov

Chernenko

et al. 2020

MSF

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The necessity of taking into account the barreling effect at the design of die cavities, and open die and closed die forging processes on the basis of pre-forming of billets by upsetting is shown. The division of ideas about the indices of “bulk” and “linear” barreling (barrel shape), which is determined by the ratio of the bulk and linear dimensions of the workpiece after upsetting by flat dies, was made. The functional relation (correlation) between these indices and the friction coefficient on the boundary surface between flat dies and the upsetted workpiece has been determined. The qualitative and quantitative effect of workpiece dimensions (diameter-to-height ratio), strain range, temperature (conditions of cold and hot processing) and type of forming material (structural carbon steel, some of Cu-grades and Al-grades) on the barreling effect and friction coefficient during upsetting was found. The developed method makes it possible to predict a change in the friction coefficient during the upsetting of various material workpiece under given conditions of forming and to monitor their effect to the final shape.

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Response Surface Methodology to Establish Friction Model for Upset Forging

Krishna¹,

Amrith²,

Rao³

2022

Lecture Notes in Mechanical Engineering

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Effect of Friction on Barreling during cold Upset Forging of Aluminium 6082 Alloy Solid cylinders

Cited by 4 publications

References 4 publications

Synchronization Control Algorithm of Double-Cylinder Forging Hydraulic Press Based on Fuzzy Neural Network

Synchronization Control Algorithm of Double-Cylinder Forging Hydraulic Press Based on Fuzzy Neural Network

Correlation of Barreling Effect with Boundary Friction Coefficient during Upsetting of Various Materials Workpieces under Processing Conditions

Response Surface Methodology to Establish Friction Model for Upset Forging

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