A new simulation-based metaheuristic approach in optimization of bilayer composite sheet hydroforming

Hashemi, Arash; Gollo, M. Hoseinpour; Seyedkashi, S. M. H.; Anaraki, Ali Pourkamali

doi:10.1007/s40430-017-0720-1

Cited by 9 publications

(8 citation statements)

References 23 publications

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“…Coefficients of frictions of 0.14 and 0.04 were used at the punch-blank and other interfaces, respectively. 6–8 The Hollomon’s power law equation of σ = K ε n was applied to state the flow stress in the simulation.…”

Section: Methodsmentioning

confidence: 99%

Investigation of consecutive two-stage hydrodynamic deep drawing of aluminum cylindrical cups

Hashemi

Seyedkashi

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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In the deep drawing process, achieving a higher drawing ratio has always been considered by researchers. In this study, a new concept of hydrodynamic deep drawing with two consecutive stages without additional operations such as annealing is proposed to increase the limit drawing ratio of the cups. The effective parameters were investigated numerically and experimentally in the forming of Al1200 cylindrical cups. At first, the desired value of punch diameter ratio was determined based on finite element simulation results and was utilized to increase the cup formability. Next, the effects of pressure paths on the cup thickness, separation, and rupture were studied in each forming stage. The cup formability was investigated based on a new proposed framework to obtain the maximum possible limiting drawing ratio, and the desired conditions were determined. Finally, a cup was formed with a high drawing ratio of 3.4 which was a good achievement in comparison with the literature.

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Section: Methodsmentioning

confidence: 99%

Investigation of consecutive two-stage hydrodynamic deep drawing of aluminum cylindrical cups

Hashemi

Seyedkashi

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…Many new papers suggest applying the concept of Bsimulated annealing^to the optimization of hydroforming processes. Simulated annealing is one of the most popular metaheuristic algorithms used to solve optimization problems [57] and gets its name from classical annealing (the process of softening metal by heating and slowly cooling to freeze the structure at a minimum energy state) [58]. Simulated annealing is a probabilistic technique for approximating the global optimum which is used in complicated situations where finding an exact maximum is not realistic.…”

Section: Analytical Methods and Numerical Simulationsmentioning

confidence: 99%

“…Simulated annealing is a probabilistic technique for approximating the global optimum which is used in complicated situations where finding an exact maximum is not realistic. Hashemi et al successfully used a sheet hydroforming process to form bilayer composite sheets and simulated the process using a simulated annealing algorithm [57]. Mirzaali et al used a simulated annealing optimization algorithm along with a 2D FEA simulation to optimize axisymmetric tubes in a THF operation [59].…”

Section: Analytical Methods and Numerical Simulationsmentioning

confidence: 99%

A state of the art review of hydroforming technology

et al. 2019

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Hydroforming is a relatively new metal forming process with many advantages over traditional cold forming processes including the ability to create more complicated components with fewer operations. For certain geometries, hydroforming technology permits the creation of parts that are lighter weight, have stiffer properties, are cheaper to produce and can be manufactured from fewer blanks which produces less material waste. This paper provides a detailed survey of the hydroforming literature of both established and emerging processes in a single taxonomy. Recently reported innovations in hydroforming processes (which are incorporated in the taxonomy) are also detailed and classified in terms of “technology readiness level”. The paper concludes with a discussion on the future of hydroforming including the current state of the art techniques, the research directions, and the process advantages to make predictions about emerging hydroforming technologies.

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“…problems. Practices show that heuristic rules can obtain a rapid initial schedule and significantly speed up the solving procedure of satellite scheduling [34][35][36]. In this section, a priority-based construction heuristic is chosen to perform as initial algorithms for integrated AEOS scheduling, as shown in Algorithm 1.…”

Section: Construction Heuristicmentioning

confidence: 99%

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

Xing

Chen

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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This paper presents an experimental study on an integrated agile earth observation satellite (AEOS) scheduling problem involving the satellite memory environments of the partially erasable memory (PEM) and the holistically erasable memory (HEM). The integrated AEOS scheduling problem simultaneously considers the satellite observation and transmission events, in which the onboard memory functions as a very important connective resource. To address the memory constraints in the AEOS scheduling problem, an integrated AEOS scheduling model that is suitable for both the PEM and HEM environments is proposed in this paper. Based on commonly used construction heuristic and meta-heuristics, two hybrid approaches, Tabusimulated annealing (TSA) and Tabu late acceptance (TLA) algorithms, are adopted to solve this problem. The highlights in this paper are the formulation of novel adaptive memory constraints for the AEOS scheduling and the quantitatively scheduling comparison of separated and integrated modeling methods. Experimental results indicate that (1) the memory environment has a direct influence on the AEOS integrated scheduling results, where the PEM environment sufficiently utilizes memory resources and advances the efficiency of the AEOS a lot. (2) The integrated scheduling method enables the reduction in resource consumption and obtains a better result than the separated scheduling method, especially in the HEM environment, (3) and the hybrid meta-heuristics TLA and TSA that show better overall performance are suggested for addressing the studied AEOS integrated scheduling problem.

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A new simulation-based metaheuristic approach in optimization of bilayer composite sheet hydroforming

Cited by 9 publications

References 23 publications

Investigation of consecutive two-stage hydrodynamic deep drawing of aluminum cylindrical cups

Investigation of consecutive two-stage hydrodynamic deep drawing of aluminum cylindrical cups

A state of the art review of hydroforming technology

Integrated agile observation satellite scheduling problem considering different memory environments: a case study

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