CAE for forging of titanium alloy aero-engine disc and integration with CAD–CAM for fabrication of the dies

Srinivasan, N.; Ramakrishnan, N.; Rao, A. Venugopal; Swamy, N

doi:10.1016/s0924-0136(02)00221-2

Cited by 17 publications

(6 citation statements)

References 11 publications

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“…Dynamic recrystallisation has been successfully used for designing of metal forming processes. [19][20][21] More information on processing maps can be found in Prasad and Sasidhara. 19…”

Section: Dynamic Materials Modellingmentioning

confidence: 99%

Optimisation of extrusion die profile to satisfy metallurgical and manufacturing criteria

Pathak¹,

Pagey²,

Ramakrishnan³

2010

Materials Science and Technology

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In this study, die profiles of the rod extrusion processes are optimised to produce products of desirable microstructure at maximum production speed and minimum left out material in the die. The design problem is formulated as a non-linear programming problem which is solved using genetic algorithm. Selection of the processing parameters is carried out using dynamic material modelling. Using this approach, two rod extrusion problems are successfully designed.

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“…Dynamic recrystallisation has been successfully used for designing of metal forming processes. [19][20][21] More information on processing maps can be found in Prasad and Sasidhara. 19…”

Section: Dynamic Materials Modellingmentioning

confidence: 99%

Optimisation of extrusion die profile to satisfy metallurgical and manufacturing criteria

Pathak¹,

Pagey²,

Ramakrishnan³

2010

Materials Science and Technology

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“…The highest efficiency will correspond to dynamic recrystalization which in turn will ensure good workability. DMM has been successfully used for designing of metal forming processes [Srinivasan et al,15;Venugopal et al,16].…”

Section: Dynamic Materials Modeling (Dmm)mentioning

confidence: 99%

Process and die design for rod extrusion of γ iron

2009

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This study is related to materials modeling and die and process design of rod extrusion of γ iron. Strain dependent rate power law is used for materials modeling whose coefficients are arrived at through genetic algorithm (GA). Die profile of the rod extrusion process is optimized to produce products of desirable microstructure at maximum production speed and minimum left out material in the die. The design problem is formulated as a nonlinear programming problem which is solved using GA. Selection of the processing parameters is carried out using dynamic materials modeling (DMM). Using this approach rod extrusion process of γ iron is successfully designed. FE simulation on the optimum profile is also attempted to study deformation behaviour and load requirement.

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“…For this reason, at present, for the design, analysis and optimization of the whole forging process, a series of CAD [6] and CAM/CAE tools are used [7], as well as methods usually based on numerical modelling, as a simultaneous application of many methods and techniques aiding the design, simulation and production [8] enables a holistic approach to the given problem [9]. A proper elaboration of a plastic treatment process requires many experiments and tests, which is connected with huge costs, as well as a large time input, and still, the most important stage of design and optimization is the verification of the developed process under industrial conditions [10].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Improvement of an Industrial Process of Hot Die Forging of an Elongated Forging Tipped with a Joggle with the Use of Numerical Simulation Results

Hawryluk¹,

Rychlik²,

Polak³

et al. 2023

Adv. Sci. Technol. Res. J.

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The article performs an analysis of a hot die forging process of producing an elongated forging ended with a joggle in a double system realized on a crank press Masey 1300 t, in open dies, in 3 operations. The thermomechanical model of the forging process considering the changes in the grain size and the forging material recrystallization was elaborated with the use of the calculation packet Qform 7. In the first place, an in-depth analysis of the currently realized forging technology was made, with a special consideration of the temperature changes in the tools as well as in the formed forging. Next, numerical modelling of the process was carried out, as a result of which the following were obtained: correct filling of the tool impressions by the deformed material, the temperature distributions for the forging and the tools, the plastic deformation distributions (considering the thermally activated phenomena), the changes in the grain size and the forging force courses. The results obtained from FEM enable a thorough analysis of the forging process, including: the effect of the deformation time and temperature on the grain size in the forging material, which was confirmed by the microstructure examination results.

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CAE for forging of titanium alloy aero-engine disc and integration with CAD–CAM for fabrication of the dies

Cited by 17 publications

References 11 publications

Optimisation of extrusion die profile to satisfy metallurgical and manufacturing criteria

Optimisation of extrusion die profile to satisfy metallurgical and manufacturing criteria

Process and die design for rod extrusion of γ iron

Analysis and Improvement of an Industrial Process of Hot Die Forging of an Elongated Forging Tipped with a Joggle with the Use of Numerical Simulation Results

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