Robust optimal design of a neutral valve for hydrostatic transmissions using Grey relational analysis

2016 ◽  
Vol 231 (18) ◽  
pp. 3414-3428
Author(s):  
Suchul Kim ◽  
Jaeseung Kim ◽  
Jinwoong Lee ◽  
Sungbo Shim ◽  
Kyeonguk Kim
Keyword(s):  
Optimal Design ◽  
Grey Relational Analysis ◽  
Design Parameters ◽  
Operational Conditions ◽  
Relational Analysis ◽  
Robust Optimal Design ◽  
Pressure Impact ◽  
Hydrostatic Transmissions ◽  
Grey Relational ◽  
Neutral Angle

Problems of pressure impact and improper neutral angle of a neutral valve for hydrostatic transmissions were solved using Taguchi method for robust optimal design with aids of Grey relational analysis and computer simulation. An ITI-Simulation X-based model of a hydrostatic transmission with the neutral valve was developed and used to simulate the pressure impact and extended neutral angle during the pressure modulation when the swash plate angled from neutral to forth or back. The simulation results were converted to the Grey relational coefficients for 108 combinations of 27 design and four operational conditions. The Grey relational grades were also calculated for seven design parameters and each of the design conditions as the performance index. Through three times repeated robust optimal design process, the design parameters reached to the optimal which satisfied the performance goals of the neutral valve set to smaller the better for the pressure impact and nominal the best for the extended neutral valve.

Design optimization of micromixer with circular mixing chambers (M-CMC) using Taguchi-based grey relational analysis

2020 ◽  
Vol 18 (9) ◽  
Author(s):  
Ranjitsinha R. Gidde
Keyword(s):  
Grey Relational Analysis ◽  
Design Parameters ◽  
Relational Analysis ◽  
Mixing Dynamics ◽  
Depth Study ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Mixing Chambers ◽  
Optimal Set ◽  
Level Analysis

AbstractThe aim of the present study is to optimize the micromixer with circular mixing chambers (M-CMC) using Taguchi-based grey relational analysis approach. Simulations are performed to investigate the effect of design parameters viz. chamber diameter, transverse offset and width of constriction channel on performance characteristics for parameter sets corresponding to Orthogonal Array (OA) L9. Further, grey relational grade is used to identify the optimal set of design parameters. In depth study of flow and mixing dynamics are carried out to visualize the mixing mechanism for optimal and other two cases of proposed micromixer design configuration for Re in the range from 0.1 to 50. In order to assess the response of each design variable at each level, analysis of variance (ANOVA) is also performed to analyse influence of design parameters on mixing index and pressure drop.

Wear Studies on SiC and Fly Ash Reinforced Copper Based Composites by Grey Relational Analysis

2014 ◽  
Vol 984-985 ◽  
pp. 304-312 ◽  
Author(s):  
Ponnambalam Balamurugan ◽  
Marimuthu Uthayakumar
Keyword(s):  
Fly Ash ◽  
Grey Relational Analysis ◽  
Sliding Wear ◽  
Design Parameters ◽  
Dry Sliding Wear ◽  
Sliding Velocity ◽  
Relational Analysis ◽  
Pin On Disc ◽  
Hybrid Metal Matrix Composite ◽  
Grey Relational

Copper base composites are extensively used in applications where high temperature and corrosive environment. In the present investigation a hybrid metal matrix composite is prepared in which copper is used as a matrix, SiC and Fly ash as reinforcements. The composite is produced by powder metallurgy technique. Dry sliding wear characteristics of the prepared composite specimes were studied by pin on disc setup and optimised result was found through grey relational analysis. Analysis of variance is used to investigate the significance of design parameters which affect the wear characteristic of the materials. The results showed that sliding velocity is having the significant effect than the other parameters.

Multi-objective lightweight design of the container S-beam based on MNSGA-II with grey relational analysis

2019 ◽  
Vol 233 (10) ◽  
pp. 3376-3387
Author(s):  
Dengfeng Wang ◽  
Shuang Wang
Keyword(s):  
Weight Reduction ◽  
Grey Relational Analysis ◽  
Optimization Design ◽  
Lightweight Design ◽  
Parametric Model ◽  
Design Parameters ◽  
Combined Method ◽  
Multi Objective ◽  
Relational Analysis ◽  
Grey Relational

A novel bottom corrugated cross-beam (S-beam) structure improved the dynamic and static performance of a container based on the combination of a modified non-dominated sorting genetic algorithm (MNSGA-II) and grey relational analysis. First, a parametric model was established and used to verify the structure’s validity through static physical testing. Eight design variables for the S-beam container structure were also defined according to the parametric model technology. Second, MNSGA-II was used for the multi-objective lightweight optimization design of an S-beam container to obtain the optimal combination of design parameters that are considerably affected by weight reduction under peak bending stress and peak loading deflection as well as first-order natural frequency variations within the allowable range. A set of non-dominated solutions was used to obtain a multi-objective optimization design. Finally, grey relational analysis and grey entropy theory are applied to rank all solutions and determine the best compromise solution. The comparison of the technique for the order of preference by similarity to ideal solution method with grey relational analysis demonstrates the extraordinary reliability and superiority of the latter. In addition, the combined method can achieve a weight reduction of up to 23.54%, which can enhance the utilization of materials and demonstrates the superiority of the combined method relative to the initial model.

scholarly journals Effects of Different Design Parameters on the Vortex Induced Vibration of FRP Composite Risers Using Grey Relational Analysis

2019 ◽  
Vol 7 (7) ◽  
pp. 231 ◽  
Author(s):  
Chunguang Wang ◽  
Shiquan Ge ◽  
Justin W. Jaworski ◽  
Liping Liu ◽  
Zhirong Jia
Keyword(s):  
Grey Relational Analysis ◽  
Flow Direction ◽  
Cross Flow ◽  
Tension Force ◽  
Design Parameters ◽  
Attractive Alternative ◽  
Vortex Induced Vibration ◽  
Relational Analysis ◽  
Frp Composite ◽  
Grey Relational

Risers are indispensable components of offshore platform systems that connect the wellhead at the sea bottom and to the platform at the sea surface and are normally made of high grade steel. Nowadays, fiber reinforced polymer (FRP) composite has been recognized as an attractive alternative riser material. Similarly to steel risers, FRP composite risers are also vulnerable to vortex induced vibration (VIV), and the effects of the composite makeup of these risers on VIV are the subject of the present investigation. Three risers (the tailored design composite riser, the composite riser with orthogonal reinforcements and the steel riser), three current velocities (0.36 m/s, 1.22 m/s and 2.13 m/s) and three water depths (12.5 m, 25 m and 37.5 m) are considered. In total, 9 study cases using orthogonal array (OA) sampling are investigated to study the risers’ VIV characteristics. The computational fluid dynamics (CFD) simulations with coupled fluid–structure interaction (FSI) are used to obtain the risers’ natural frequencies, global displacements, global stresses and the stress distributions in each composite lamina. The effect of 5 parameters (Etension, Ebending, L/Douter, tension force and current velocity) on the VIV amplitude in a cross flow direction of the risers is analyzed using Grey relational analysis (GRA) and the Grey relational grade of these parameters are: r 05 ( Velocity ) > r 03 ( L / D outer ) > r 04 ( Tension   Force ) > r 01 ( E t e n s i o n ) > r 02 ( E b e n d i n g ) .

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