Multi-objective optimization of a honeycomb heat sink using Response Surface Method

Subasi, Abdussamet; Şahin, Bayram; Kaymaz, İrfan

doi:10.1016/j.ijheatmasstransfer.2016.05.012

Cited by 82 publications

(27 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Analysis of variance (ANOVA) for full regression model of all responses is given in Table 7. A higher magnitude of F-value and the smaller value of probability, which is less than 0.005 confirms the significance of the models (Subasi et al, 2016).…”

Section: Validation Of Anova Modelssupporting

confidence: 55%

Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology

Zahid

Shafiq

Isa

et al. 2018

Journal of Cleaner Production

103

View full text Add to dashboard Cite

Fly ash-based geopolymer binders have been identified as one of the alternatives to the Ordinary Portland Cement (OPC), which qualify the criteria of green construction material. In the process of enhancement of the properties of geopolymer; engineered geopolymer composite (EGC) is a recent development that is classified as the high-performance fiber reinforced geopolymer matrix. The philosophy of the development of EGC is to achieve high compressive strength and ductility. In this paper, statistical models are developed to predict the mechanical and postcracking properties of EGC using Response Surface Methodology (RSM). In this regard, effects of three principal variables; molarity of sodium hydroxide, sodium silicate to sodium hydroxide ratio, and curing temperature on the properties of fresh and hardened EGC (setting time, compressive strength, elastic modulus, flexural strength, flexural toughness, ductility index, tensile strength, tensile first crack strength and tensile strain capacity) were investigated. All models are found significant because, and the difference between predicted R 2 and adjustable R 2 was found less than 0.2. The optimized mixture proportion was assessed using multi-objective optimization technique as discussed in the RSM literature. Finally, an experimental program was performed to validate the optimized mixture proportion. The predicted and experimental results were found in a close agreement because the variation between the predicted and the experimental results was obtained less than 5%. The proposed method can be performed for any objective value of the EGC property with desirability almost equal to one, improving the yield, the reliability of the product and the processes.

show abstract

Section: Validation Of Anova Modelssupporting

confidence: 55%

Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology

Zahid

Shafiq

Isa

et al. 2018

Journal of Cleaner Production

103

View full text Add to dashboard Cite

show abstract

“…erefore, the owner and the operator have a conflict of interest. Unless the owner can provide sufficient incentives to the operator, the operator will not work as hard as the owner hopes [25].…”

Section: Agency Modelmentioning

confidence: 99%

Enterprise Performance Optimization Management Decision-Making and Coordination Mechanism Based on Multiobjective Optimization

Zou

Bai

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Today’s society is a society of the knowledge economy, and the competition of enterprises is the competition of talents. The rapid development of science and technology and the fierce development of market competition have made the importance of performance management increasingly prominent in corporate management. The purpose of performance management is to explore and deal with some of the effects of various factors on employee performance and to tap the potential of employees, improve employee performance, and also bring a qualitative leap to the performance of the organization. The improvement of the employee performance management level has laid a solid foundation for the improvement of the organizational performance management level. However, there are still some difficulties in the implementation of performance management in my country at this stage, and the management effect is not obvious. Therefore, building a scientific, reasonable, and complete multiobjective optimization-based corporate performance optimization management decision-making and coordination mechanism is the primary task of today’s enterprises. This article will give a brief theoretical overview of the combination of system management theory and behavior management theory, MBO target management, and KPI indicators, build a multiobjective optimization model on an effective theoretical basis, and use genetic algorithms to obtain a weak Pareto effective solution that can optimize the enterprise with consideration of performance appraisal indicators. It also builds an agency model and an analysis of employee incentive plans, which clearly shows the relationship between the company and the management and employees, conducts a cross analysis of the needs of the company’s management and employees, and puts forward the best corporate performance considering the needs of employees; among them, the multiobjective optimization of corporate performance increased by 14% under the optimal management decision.

show abstract

“…Probability values less than 0.005 depicts the satisfactory performance of the statistical and regression models. [25,37] The probability values are lesser than 0.005 for the parametric factors used in this research as shown in Table.7. Table.7 shows the statistical model validation factors obtained from analysis of variance (ANOVA).…”

Section: Validation Of Statistical Models (Anova)mentioning

confidence: 89%

Experimental Investigation and Statistical Modeling of FRP Confined RuC Using Response Surface Methodology

2019

View full text Add to dashboard Cite

Scrap tires that are dumped to landfill is a serious problem in China and rest of the world. The use of rubber in concrete is an effective environmental approach to reduce the amount of scrap tires around the world. However, the loss in compressive strength of concrete is a major drawback of rubberized concrete. In this paper, the fiber reinforced polymer (FRP) confinement technique is used to overcome the drawbacks of rubberized concrete (RuC). A total of sixty six RuC cylinders were tested in axial compression. The cylinders were cast using recycled rubber to replace, a) 0-50 percent fine aggregate volume, b) 0-50 percent coarse aggregate volume, and c) 40-50 percent fine and coarse aggregate volume. Twenty seven cylinders of the latter mix were then confined with one, two and three layers of CFRP jackets. Concrete suffered a substantial reduction in compressive strength up to 80 percent by fine and coarse aggregate replacement with rubber content. However, CFRP jackets recovered and further enhanced the axial compressive strength of RuC up to 600% over unconfined RuC. SEM was performed to investigate the microstructural properties of RuC. Statistical models were developed on the basis of experimental tests for FRP confined RuC cylinders using response surface method. The effect of variable factors; unconfined concrete strength, rubber replacement type and number of FRP layers on confined compressive concrete strength was investigated. The regression analysis was performed to develop the response equations based on quadratic models. The predicted and experimental test results were found in good agreement as the variation between experimental and predicted values were less than 5%. Furthermore, the difference between predicted and adjusted R2 was found to be less than 0.2 which shows the significance of the statistical models. These proposed statistical models can provide a better understanding to design the experiments and the parameters affecting FRP-confined RuC cylinders.

show abstract

Multi-objective optimization of a honeycomb heat sink using Response Surface Method

Cited by 82 publications

References 18 publications

Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology

Statistical modeling and mix design optimization of fly ash based engineered geopolymer composite using response surface methodology

Enterprise Performance Optimization Management Decision-Making and Coordination Mechanism Based on Multiobjective Optimization

Experimental Investigation and Statistical Modeling of FRP Confined RuC Using Response Surface Methodology

Contact Info

Product

Resources

About