Optimum Design of the Volute Tongue Shape of a Low Specific Speed Centrifugal Pump

Chen, Zhenmu; Nguyễn, Văn Thành; Tran, Ngoc Thoai

doi:10.4172/2332-0796.1000226

Cited by 8 publications

(11 citation statements)

References 2 publications

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“…However, the deviations compared with the theoretical modeling were huge, and therefore, the optimal methods could not be approved. Thus, in this investigation, we applied TM based on grey relational analysis [18][19][20][21][22][23][24][25][26][27] to optimize these output characteristics.…”

Section: Grey Relational Analysis Based On Taguchi Methodsmentioning

confidence: 99%

“…It was confirmed by FEA and the conducted experiments. For highly accurate tracking and positioning, Wang and Zhang developed a compact flat nano-localization platform with three free capabilities, in which three two-level switchable amplifiers are symmetrically positioned to obtain high magnification [17][18][19][20][21], and this was determined by the experiments.…”

Section: Introductionmentioning

confidence: 99%

“…The consistency mechanism for all types of bridges described above is the consistency mechanism for types of bridges that use flexible hinges. The presence of stiffness in the four arms of this rectangular mechanism is a serious weakness in the mechanism frequency [19,[22][23][24][25][26]. In comparison with the other bridge-type mechanisms, the distributing one is suitable for flexible multi-beam parts for increasing the resonant frequency of the mechanism, instead of notched hinges and rigid bodies.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type

et al. 2021

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Compliant mechanisms’ design aims to create a larger workspace and simple structural shapes because these mechanical systems usually have small dimensions, reduced friction, and less bending. From that request, we designed optimal bridge-type compliant mechanism flexure hinges with a high magnification ratio, low stress by using a flexure joint, and especially no friction and no bending. This joint was designed with optimal dimensions for the studied mechanism by using the method of grey relational analysis (GRA), which is based on the Taguchi method (TM), and finite element analysis (FEA). Grey relational grade (GRG) has been estimated by an artificial neural network (ANN). The optimal values were in good agreement with the predicted value of the Taguchi method and regression analysis. The finite element analysis, signal-to-noise analysis, surface plot, and analysis of variance demonstrated that the design dimensions significantly affected the equivalent stress and displacement. The optimal values of displacement were also verified by the experiment. The outcomes were in good agreement with a deviation lower than 6%. Specifically, the displacement amplification ratio was obtained as 65.36 times compared with initial design.

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Section: Grey Relational Analysis Based On Taguchi Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type

et al. 2021

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“…Therefore, the leaf flexible hinge is selected for the mechanism. To select appropriated dimensions for the mechanism, this investigation proposes a hybrid Taguchi approach based on grey relational analysis and neural network with fuzzy logic and ANFIS algorithms [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Optimum Design for the Magnification Mechanisms Employing Fuzzy Logic–ANFIS

Huynh¹,

Nguyen²,

Nguyen³

2022

Computers, Materials &Amp; Continua

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To achieve high work performance for compliant mechanisms of motion scope, continuous work condition, and high frequency, we propose a new hybrid algorithm that could be applied to multi-objective optimum design. In this investigation, we use the tools of finite element analysis (FEA) for a magnification mechanism to find out the effects of design variables on the magnification ratio of the mechanism and then select an optimal mechanism that could meet design requirements. A poly-algorithm including the Grey-Taguchi method, fuzzy logic system, and adaptive neuro-fuzzy inference system (ANFIS) algorithm, was utilized mainly in this study. The FEA outcomes indicated that design variables have significantly affected on magnification ratio of the mechanism and verified by analysis of variance and analysis of the signal to noise of grey relational grade. The results are also predicted by employing the tool of ANFIS in MATLAB. In conclusion, the optimal findings obtained: Its magnification is larger than 40 times in comparison with the initial design, the maximum principal stress is 127.89 MPa, and the first modal shape frequency obtained 397.45 Hz. Moreover, we found that the outcomes obtained deviation error compared with predicted results of displacement, stress, and frequency are 8.76%, 3.6%, and 6.92%, respectively.

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“…The authors claimed that the thermal history [9][10][11] of the printed path was of significant importance because it was the greatest determining parameter in the bonding quality between adjacent paths of material. Furthermore, Chau et al [12] concentrated on process parameter optimization [13][14][15][16][17]. Parameters such as extrusion velocity, line width compensation, filling speed, and layer thickness were chosen as control parameters (input variables), while dimensional error, warp distortion, and printing time were chosen as outcome responses (evaluation indicators).…”

Section: Introductionmentioning

confidence: 99%

Minimizing Warpage for Macro-Size Fused Deposition Modeling Parts

Huynh¹,

Nguyen²,

Nguyen³

et al. 2021

Computers, Materials &Amp; Continua

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In this study, we investigated warpage and corner lifting minimization for three-dimensional printed parts generated by macro-size fused deposition modeling (FDM). First, the reasons for warpage were theoretically elucidated. This approach revealed that the thermal deformation and differential volumetric shrinkage of the extruded molten plastic resulted in warpage of FDM parts. In addition, low adhesion between the deposited model and the heated or non-heated printing bed may intensify warpage further. As a next step, initial small-size and medium-size models were used to identify parameters to manage and minimize warpage in a way that would reduce material consumption and running time. Finally, a macro-size model was built to experimentally investigate and verify the technical solutions to minimize the warpage of FDM parts. In conclusion, an improved part with reduced warpage was efficiently produced after detailed consideration of thermal effects and adhesion force. Potential exists to widen the application scope of FDM technology in manufacturing for processes like thermoforming that involve mold core fabrication with heating. This technology, which has applications not only in mechanical engineering but also in related engineering fields, is convenient and could readily be applied to practical manufacturing industries.

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Optimum Design of the Volute Tongue Shape of a Low Specific Speed Centrifugal Pump

Cited by 8 publications

References 2 publications

Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type

Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type

Optimum Design for the Magnification Mechanisms Employing Fuzzy Logic–ANFIS

Minimizing Warpage for Macro-Size Fused Deposition Modeling Parts

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