Adaptive hybrid optimization of hydrodynamic deep drawing with radial pressure process by combination of parametric design and simulated annealing techniques

Abstract

An adaptive hybrid simulated annealing technique with ANSYS parametric design language is developed to optimize hydrodynamic deep drawing assisted by radial pressure process. This work aims to determine an optimal pressure path by redefinition of simulated annealing parameters and creating an adaptive finite element code using ANSYS parametric design language for any cylindrical, conical, and conical-cylindrical cups. The simulated annealing algorithm is developed adaptively with respect to hydrodynamic deep drawing with radial pressure process to link with ANSYS parametric design language code using a script in MATLAB. Parametric definition of process parameters enables the optimization algorithm to change the finite element model configuration in each iteration. Defective product is detected by definition of two failure criteria based on thinning and wrinkling occurrence during the optimization process. The proposed optimization method is employed in fractional factorial design of experiment to investigate the effective parameters on final product quality. Also, a regression model is derived to predict the final product quality based on the maximum thinning percentage under the optimal pressure path. Reliability of the optimization procedure and regression model is validated by experiments.

Punch-less and die-less sheet hydroforming process for manufacturing of serpentine-shaped micro-channels in ultra-thin sheets

“…1,2 Among the other forming processes, this process possesses several advantages such as better surface quality, reduced thinning, lesser spring back, and better dimensional accuracy, which makes it a suitable method to form complex and intricate shapes. [3][4][5] Also, the fluid media enables the exertion of uniform pressure throughout the entire surface area of the material which helps in achieving higher part depth as compared to the stamping method. 6 The above-mentioned advantages of the hydroforming process make it suitable for manufacturing different industrial components.…”

Task-level time-optimal collision avoidance trajectory planning for grinding manipulators

“…29 developed an adaptive hybrid SA technique with ANSYS parametric design language to optimise hydrodynamic deep drawing assisted by a radial pressure process. For multi-attributes reverse mapping problem, Teimouri and Amini 30 firstly used grey relational grade to convert the cutting force and surface roughness in a single attribute problem. Then the reverse mapping was performed by the use of SA algorithm by minimising the absolute difference between grey relational grade of specified cutting force and surface roughness and adaptive-network-based fuzzy inference system model of grey relational grade, which was derived from the forward mapping.…”