Simulation of die forging of an AK6 aluminum alloy forged piece

Константинов, И. Л.; Gubanov, I. Yu.; Astrashabov, I. O.; Sidelnikov, S. B.; Belan, N. A.

doi:10.3103/s1067821215020108

Cited by 7 publications

(3 citation statements)

References 1 publication

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“…3D FE-based numerical approach sensitivity analysis was utilized to explore the forging process of Ti-6Al-4V ingot to assess the influence of press speed, feed, and reduction on workpiece deformation and effective strain [5]. DEFORM software was used to simulate temperature, press travel velocity, and friction factor to study the processes of die forging of AK6 aluminum alloys [6]. Using Deform 3D simulation software, [7] lowered the stress intensity and deformation intensity of the forging die to increase cavity fill and minimize waste in metal burrs of steel 40 GOST 1050-88.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Effect of Temperature on Alloy Steel Forging Simulation Using Finite Element Simulation

Efa,

Lemu,

Gutema

et al. 2024

KEM

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The goal of this research is to examine the influence of temperature affects the forging of a rectangular billet of AISI 4120 alloy steel using the 3D Deform version 11 software. The simulation was performed with 0.3 coefficient of friction on a metal forming (lubricated) process and the part is intended for application in aerospace and oil and gas industries. Three modules of deform software were defined to execute the simulation: pre-processing, simulation, and post-processing. The pre-processing in forging employed standard data— material selection, billet drawing, top and bottom dies design, meshing and simulation control. After 120 steps, the post-process estimation of deformation temperature, effective strain and stress, total velocity, and total displacement were obtained on the billet of material at temperatures of 800o C, 1000o C, and 1200° C. The results show that when forging temperatures climb, effective strain and stress decrease, total displacement and velocity decrease, and the final temperature increases.

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Section: Introductionmentioning

confidence: 99%

Analyzing the Effect of Temperature on Alloy Steel Forging Simulation Using Finite Element Simulation

Efa,

Lemu,

Gutema

et al. 2024

KEM

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show abstract

“…In addition, owing to various desirable properties such as good formability, high plasticity [8] and high strength to weight ratio [9], the usage of aluminium has increased significantly in various engineering applications [10]. Considering (1) growing applications of FSW, (2) increased usage of aluminium across various industrial sectors and (3) the need for thorough and more comprehensive understanding of the process, FSW of aluminium alloys was chosen for the subject of the present study.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Effect of Strain Rate and Heat Generation on Traverse Force in FSW of Dissimilar Aerospace Grade Aluminium Alloys

et al. 2019

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The emergence of the aerospace sector requires efficient joining of aerospace grade aluminium alloys. For large-scale industrial practices, achievement of optimum friction stir welding (FSW) parameters is chiefly aimed at obtaining maximum strain rate in deforming material with least application of traverse force on the tool pin. Exact computation of strain rate is not possible due to complex and unexposed material flow kinematics. Estimation using micro-structural evolution serves as one of the very few methods applicable to analyze the yet unmapped interdependence of strain rate and traverse force. Therefore, the present work assessed strain rate in the stir zone using Zener Holloman parameter. The maximum and minimum strain rates of 6.95 and 0.31 s−1 were obtained for highest and least traverse force, respectively.

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“…Due to its large size, the bulit‐up type crankshaft is mainly produced by free forging process. Currently, numerical simulation is utilized to assist in metal forming process design and defect prediction . The constitutive equation that accurately describes material flow behavior plays a critical role in the approach to feasible simulation results .…”

Section: Introductionmentioning

confidence: 99%

Hot Deformation Behavior and Processing Maps for a Large Marine Crankshaft S34MnV Steel

Chen

Nash

2017

steel research int.

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The hot deformation behavior of S34MnV steel is investigated by means of hot compression tests at temperatures between 1223 and 1473 K (950 to 1200 C) and strain rates of 0.05-2 s À1 . Hyperbolic sine type of constitutive equation is established. The activation energy Q is 321.943 kJ mol À1 , near to the austenite lattice self-diffusion activation energy. The processing maps under different strains are constructed based on the dynamic materials model (DMM) and Prasad's instability criterion. The instability regions vary as the strain increases. The flow instability with a strain of 0.7 approximately happens at the lower temperature 1223-1398 K (950-1125 C) and higher strain rate 0.2-2 s À1 . Figure 6. Processing maps for S34MnV steel at different strains: a) 0.1, b) 0.3, c) 0.5, and d) 0.7. www.advancedsciencenews.com www.steel-research.de steel research int. 2018, 89, 1700321

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Simulation of die forging of an AK6 aluminum alloy forged piece

Cited by 7 publications

References 1 publication

Analyzing the Effect of Temperature on Alloy Steel Forging Simulation Using Finite Element Simulation

Analyzing the Effect of Temperature on Alloy Steel Forging Simulation Using Finite Element Simulation

Investigation on Effect of Strain Rate and Heat Generation on Traverse Force in FSW of Dissimilar Aerospace Grade Aluminium Alloys

Hot Deformation Behavior and Processing Maps for a Large Marine Crankshaft S34MnV Steel

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