Factors Affecting the Effectiveness of Inorganic Silicate Sealer Material through Multi-Quality Characteristics

Zou, Si-Yu; Huang, Ran; Chi, Maochieh; Hsu, Hui‐Mi

doi:10.3390/ma6031191

Cited by 14 publications

(11 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the grey system, black implies having no information and white signifies having all information [14]. GRA has been widely applied to optimize problems involving multiple factors and responses [17,37,38]. Data pre-processing by grey relational generation was performed on the experimental data of the responses in Table 3, namely, COF and W s .…”

Section: Resultsmentioning

confidence: 99%

“…Using this approach, the optimal levels of operating variables were found to be holding time of 20 s, residence time of 30 min, TiO 2 concentration of 5 wt.% and barrel temperature of 225 °C. Utilizing an L 12 orthogonal array, Zou et al [17] integrated S/N ratios of the Taguchi method with GRA to identify the significant contributors to surface treatment of concrete structures. The results indicated that the water-binder ratio with 89.99% and the weight of the pozzolanic material with 2.55% were the key factors influencing concrete protection.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite

2018

View full text Add to dashboard Cite

Co-continuous composites have potential in friction and braking applications due to their unique tribological characteristics. The present study involves Taguchi grey relational analysis-based optimization of wear parameters such as applied load, sliding speed and sliding distance, and their effect on dry sliding wear performance of AA6063/SiC co-continuous composite manufactured by gravity infiltration. A Taguchi L9 orthogonal array was designed and nine experimental runs were performed based on the designed experiments. The coefficient of wear and specific wear rate were recorded for each experiment. Based on the average responses computed from Taguchi grey relational analysis, an applied load of 60 N, sliding speed of 1 m/s and sliding distance of 1000 m were estimated to be the optimal parameters. An Analysis of Variance (ANOVA) was conducted to identify the predominant factor and established all the three factors as being significant. The sliding distance was found to have the highest significant influence of 61.05% on the wear of the C4 composite. Confirmation experiments conducted using the optimal parameters indicated an improvement of 35.25% in grey relational grade. Analysis of the worn surfaces of the confirmation experiment revealed adhesive and abrasive wear as the governing mechanisms.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite

2018

View full text Add to dashboard Cite

show abstract

“…The orthogonal table is a set of rules design tables, where L is the code of the orthogonal table, n is the number of trials, t is the number of levels, c is the number of factors, and the symbol for orthogonal table is expressed as L n (t c ) [31]. For example, L 9 (3 4 ) indicates that nine experiments are required, and up to four factors can be observed, each of which is three levels.…”

Section: Methodsmentioning

confidence: 99%

Numerical Simulation of Thermal Conductivity of Foam Glass Based on the Steady-State Method

Qin

Tian

et al. 2018

Materials

View full text Add to dashboard Cite

The effects of fly ash, sodium carbonate content, foaming temperature and foaming time on foam glass aperture sizes and their distribution were analyzed by the orthogonal experimental design. Results from the steady-state method showed a normal distribution of the number of apertures with change in average aperture, which ranges from 0.1 to 2.0 mm for more than 93% of apertures. For a given porosity, the thermal conductivity decreases with the increase of the aperture size. The apertures in the sample have obvious effects in blocking the heat flow transmission: heat flow is quickly diverted to both sides when encountered with the aperture. When the thickness of the sample is constant, the thermal resistance of the foam glass sample increases with increasing porosity, leading to better thermal insulation. Furthermore, our results suggest that the more evenly distributed and orderly arranged the apertures are in the foam glass material, the larger the thermal resistance of the material and hence, the better the thermal insulation.

show abstract

“…ANOVA and F-test were performed to statistically see the control factors significant process and percent contribution to the experiment. In the process, the S/N ratio sum of squares for each factor is determined to calculate the betweengroup variability and then F-test and contribution ratio can be calculated, respectively [9].…”

Section: Analysis Of Variancementioning

confidence: 99%

Factors Affecting the Quality of Concrete Containing Solar PV Cells through Taguchi Method

Cheng

Hsu

Chao

et al. 2015

MATEC Web of Conferences

Self Cite

View full text Add to dashboard Cite

Abstract. In order to comply with the implementation of sustainable development, the construction industry through the use of less polluting green energy technology is already imminent and more had to do. Production of Portland cement consumes large amount of energy and releases lots of carbon dioxide, nevertheless, the developing of sustainable society means more urgent and important to search for new cementitious materials to replace Portland cement in future constructions. The research employs Taguchi method to identify the key factors influencing the performance of alkali activated silica fume concrete in which amorphous silicon solar cells are ground and added into the mixture. Taguchi method has made valuable contributions to statistics and engineering. It provides techniques for investigating variation in experiments, system, parameter and tolerance design, all of which have been influential in improving manufactured quality. The conclusions were made thru ANOVA and F-test based on the statistical analyses. Next, we expect the inconsistence observed in the study to be further resolved by Grey Relational Analysis which is a normalization evaluation technique to solve the complicated multi-performance characteristics optimization effectively.

show abstract

Factors Affecting the Effectiveness of Inorganic Silicate Sealer Material through Multi-Quality Characteristics

Cited by 14 publications

References 20 publications

Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite

Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite

Numerical Simulation of Thermal Conductivity of Foam Glass Based on the Steady-State Method

Factors Affecting the Quality of Concrete Containing Solar PV Cells through Taguchi Method

Contact Info

Product

Resources

About