1996
DOI: 10.1115/1.2831051
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Design of Forging Process Parameters With Deformation and Temperature Constraints

Abstract: This paper presents a methodology for designing optimal process parameters for forging operations. The nonlinear rigid viscoplastic finite element (FE) method is used for deformation and thermal analyses. From the FE model a state space system is developed for representing the coupled deformation and thermal behavior of the metal forming system. Constraints are imposed on the strain rate and temperature of the deforming work-piece for obtaining the desired physical/microstructural properties in the final produ… Show more

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Cited by 7 publications
(4 citation statements)
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“…Note that in the solution process (see e.g. Equations (13) and (17)), we ÿrst evaluate the independent response P, followed by an analysis for the dependent response B(P). In the adjoint analysis, however, the reverse order is followed.…”
Section: @H @Bmentioning
confidence: 99%
See 1 more Smart Citation
“…Note that in the solution process (see e.g. Equations (13) and (17)), we ÿrst evaluate the independent response P, followed by an analysis for the dependent response B(P). In the adjoint analysis, however, the reverse order is followed.…”
Section: @H @Bmentioning
confidence: 99%
“…Nodal pressures are updated as I +1 P = I P + P and the iteration process is repeated until convergence is reached. To compute the tangent matrix in Equation (13) for the residual vector R of Equation (10), we ÿrst di erentiate Equation (4) as…”
Section: Solution For Quasi-steady Polymer Melt Owmentioning
confidence: 99%
“…Grandhi, et al [6] introduced the optimum control design algorithm into process parameter design of the forging process. The optimum ram velocity for maintaining the specified strain-rate in the billet, for an isothermal disk forging, was generated through this approach.…”
Section: The Backward Deformation Methodsmentioning
confidence: 99%
“…It is only recently that non-linear programming algorithms have been used e ectively to optimize manufacturing processes [11][12][13][14][15][16][17]. The use of these methods is made possible by the ability to e ciently compute the sensitivities.…”
Section: Introductionmentioning
confidence: 99%