Surrogate-based Pareto optimization of annealing parameters for severely deformed steel

Ghiabakloo, Hadi; Lee, K.; Kazeminezhad, M.; Kang, Beom-Soo

doi:10.1016/j.matdes.2015.11.059

Cited by 11 publications

(2 citation statements)

References 32 publications

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“…These solutions are called "Pareto optimal," wherein it is impossible to increase one objective's fitness without decreasing the fitness in at least another objective (Coello, 1999). Isolating the Pareto Front (PF) allows the system designer to evaluate the best trade-offs between competing objectives and exploit the design space (Ghiabakloo et al, 2016). The information obtained at the embodiment design stage can be refined and reused at the detailed design stage by focusing on a narrower non-dominated and feasible design region while exploiting a concrete system-level optimal design in a point-wise solution manner (Xiong et al, 2019).…”

Section: Mdo Framework and Decomposition Of Disciplinesmentioning

confidence: 99%

Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing

et al. 2022

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An intelligent manufacturing paradigm requires material systems, manufacturing systems, and design engineering to be better connected. Surrogate models are used to couple product-design choices with manufacturing process variables and material systems, hence, to connect and capture knowledge and embed intelligence in the system. Later, optimisation-driven design provides the ability to enhance the human cognitive abilities in decision-making in complex systems. This research proposes a multidisciplinary design optimisation problem to explore and exploit the interactions between different engineering disciplines using a socket prosthetic device as a case study. The originality of this research is in the conceptualisation of a computer-aided expert system capable of exploring process-structure-property-performance linkages in digital manufacturing. Thus, trade-off exploration and optimisation are enabled of competing objectives, including prosthetic socket mass, manufacturing time, and performance-tailored socket stiffness for patient comfort. The material system is modelled by experimental characterisation-the manufacturing time by computer simulations, and the product-design subsystem is simulated using a finite element analysis (FEA) surrogate model. We used polynomial surface response-based surrogate models and a Bayesian Network for design space exploration at the embodiment design stage. Next, at detail design, a gradient descent algorithm-based optimisation exploits the results using desirability functions to isolate Pareto non-dominated solutions. This work demonstrates how advanced engineering design synthesis methods can enhance designers' cognitive ability to explore and exploit multiple disciplines concurrently and improve overall system performance, thus paving the way for the next generation of computer systems with highly intertwined material, digital design and manufacturing workflows.

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Section: Mdo Framework and Decomposition Of Disciplinesmentioning

confidence: 99%

Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing

et al. 2022

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“…This approach results in a significant reduction in computation effort and thus improves the performance of the optimization method. The strategy of using the metamodel technique has been proved to be efficient when a multi-objective optimization problem is solved by a population-based method, being either the PPDA [27][28][29] or any GA scheme [30,31], which often requires a huge number of function evaluations. The metamodels are constructed, trained and tested using FE simulation results of a group of selected configurations which are called sampling points.…”

Section: Metamodeling Techniquementioning

confidence: 99%

Bi-objective optimal design of a damage-tolerant multifunctional battery system

et al. 2016

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In current electric vehicles (EVs), battery systems only serve the role of electrical energy storage. Heavy protecting structures surround the batteries. To enhance the overall performance of EVs one desires multifunctional battery systems with structural and energy storage functionalities. Our research centers on the design methodology to enable such multifunctional material systems. An architectured multifunctional battery-structure material system, namely the Cellular Battery Assembly (CBA), is introduced. The CBA is composed of cylindrical battery cells surrounded by hollow tubes. The CBA inherits features of the energy absorbing characteristics of periodic cellular materials while maintaining an electrical energy storage. The energy absorbing mechanism is activated when intentional collapse of hollow tubes dissipates energy and protects battery units from high compressive stress. Depending on loading conditions to be applied, the multi-functionalities of CBA can be optimized by morphological or dimensional control of the building blocks through a multi-objective optimization process. The present study focuses on a multi-objective optimization design process to achieve optimal configurations in specific applications where energy storage and energy absorption are objective functions to be maximized simultaneously. Results show that CBA can possess energy absorption performance that compares well to other energy absorbing materials while a desirable energy storage capability is maintained.

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Effect of stress relief annealing on microstructure, mechanical properties, and residual stress of a copper sheet in the constrained groove pressing process

Nazari

Honarpisheh

Zhao

2019

Int J Adv Manuf Technol

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Surrogate-based Pareto optimization of annealing parameters for severely deformed steel

Cited by 11 publications

References 32 publications

Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing

Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing

Bi-objective optimal design of a damage-tolerant multifunctional battery system

Effect of stress relief annealing on microstructure, mechanical properties, and residual stress of a copper sheet in the constrained groove pressing process

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