Development of a Mathematical Model of VMS for Automotive Structural Member using FEA-RSM Hybrid Modeling

Patel, Tushar M.; Bhatt, Nilesh M.

doi:10.1016/j.protcy.2016.03.004

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…Secondly, they can determine the best settings to enhance sensitivity. The non-parallel lines contribute to a notable interaction between these elements 56 , 57 . The results indicate that y 1 *y 3 and y 2 *y 3 are not significant factors influencing cell size, whereas y 1 *y 4 , y 2 *y 3 , and y 2 *y 4 do not play a significant role in determining density.…”

Section: Resultsmentioning

confidence: 99%

Tuning pore size and density of rigid polylactic acid foams through thermally induced phase separation and optimization using response surface methodology

Ghorbandoust,

Fasihi,

Norouzbeigi

2024

Sci Rep

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Rigid polylactic acid (PLA) foams fabricated via thermally induced phase separation (TIPS) utilizing a ternary solution of PLA, Tetrahydrofuran (THF), and water. The PLA gels were stabilized mechanically by the substituting of the THF/water solvent mixture with ethanol as non-solvent and subsequently vacuum dried. A comprehensive characterization of PLA foams was achieved by Scanning Electron Microscopy (SEM), X-ray Diffractometry (XRD) and Brunauer–Emmett–Teller (BET) analyses. The BET area obtained in the PLA foam is up to 18.76 m2/g. The Response Surface Methodology (RSM) was utilized to assess the impacts of four independent variables (polymer concentration, solvent composition, quench temperature, and aging time) on the pore size and density of PLA foam. The experimental findings demonstrated that the fabrication parameters could be fine-tuned to govern the morphology of the pores, comprising their size and density. The optimal values of parameters for cell size were identified by RSM to be 8.96 (wt%), 91.60 (w/w), 5.50 °C, and 3.86 h for the optimum cell size of 37.96 µm (37.78 by Genetic Algorithm). Optimum density by RSM 88.88 mgr/cm3 (88.38 mgr/cm3 by Genetic Algorithm) was obtained at 5.00 (wt%), 89.33 (w/w), 14.40 °C and 2.65 h.

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Section: Resultsmentioning

confidence: 99%

Tuning pore size and density of rigid polylactic acid foams through thermally induced phase separation and optimization using response surface methodology

Ghorbandoust,

Fasihi,

Norouzbeigi

2024

Sci Rep

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“…This fitting method not only reduces unknown parameters, but also ensures the response stability. After the response surface was generated, the pie chart of input and output variables was displayed on ANSYS Workbench, revealing the degree of impact of each input variable on each output variable [22].…”

Section: Response Surface Modelmentioning

confidence: 99%

Multi-Goal Driven Optimization of the Beam in Straight-Side Two-Point Press

Yang¹

2020

JESA

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Traditionally, the beams of mechanical presses are designed and optimized empirically. The empirical design cannot satisfy the increasingly strict requirements on product performance, quality, cost and appearance. This paper attempts to develop a lightweight design for the beam of a straight-side two-point press without sacrificing the strength and stiffness of the structure, thus saving materials and production cost. Our design was mainly developed through multi-goal-driven optimization (multi-GDO) based on ANSYS Workbench. Firstly, the finite-element model of the target beam was established with the aid of ANSYS Workbench and SolidWorks, followed by the static structural analysis on the beam structure. Next, the main dimensional parameters of the beam were subjected to sensitivity analysis, revealing the key factors affecting the beam dimensions. Finally, the multi-objective genetic algorithm (MOGA) was called to optimize the main design variables, and finalize the lightweight design of the beam. The lightweight design was found to greatly save the material and production cost. The research results lay the theoretical basis for beam improvement, and provide a reference for the optimization of other parts of mechanical press and other molding and forging machines.

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Experiment, simulation and investigation of the effect of different parameters on the durability of welded structure under damped loads for automobile utilization

Amarir,

Mounir

2023

Int J Interact Des Manuf

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Development of a Mathematical Model of VMS for Automotive Structural Member using FEA-RSM Hybrid Modeling

Cited by 5 publications

References 4 publications

Tuning pore size and density of rigid polylactic acid foams through thermally induced phase separation and optimization using response surface methodology

Tuning pore size and density of rigid polylactic acid foams through thermally induced phase separation and optimization using response surface methodology

Multi-Goal Driven Optimization of the Beam in Straight-Side Two-Point Press

Experiment, simulation and investigation of the effect of different parameters on the durability of welded structure under damped loads for automobile utilization

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