Thermal conductivity is an important quantity which represents the characteristic of Vacuum Insulation Panel’s(VIP’s)performance.Precise measurement of thermal conductivity provides better quality assurance for the ...Thermal conductivity is an important quantity which represents the characteristic of Vacuum Insulation Panel’s(VIP’s)performance.Precise measurement of thermal conductivity provides better quality assurance for the users.In this paper,we presented a novel embedded sensor method to measure the thermal conductivity of VIP.The proposed method evaluated the quality of VIP primarily based on the relationship between thermal conductivity and frequency characteristic of the output signal.In addition,we presented a new mean ridge regression extreme leaning machine(M-RRELM)model via improving extreme learning machine(ELM)by ridge regression to modify the relationship between the thermal conductivity and the output signal frequency characteristic.Experiments have shown that the M-RRELM model has higher precision compared with the traditional ELM.The proposed method achieved good performance and was faster than the well known methods.展开更多
The International Energy Agency(IEA)states that global energy consumption will increase by 53%by 2030.Turkey has 70%of the world’s perlite reserves,and in order to reduce energy consumption a thermal insulation panel...The International Energy Agency(IEA)states that global energy consumption will increase by 53%by 2030.Turkey has 70%of the world’s perlite reserves,and in order to reduce energy consumption a thermal insulation panel was developed in Turkey using different particle sizes of expanded perlite(EP).In this study,0–1.18 mm(powder)and 0–3 mm(granular)EP particle sizes were selected,since they have the lowest thermal conductivity coefficients among all the particle sizes.In addition,an alkali activator solution was used as a binder in the mixtures.The alkaline activator solution was obtained by mixing sodium hydroxide solution(6,8,10,and 12 mol·L−1)and sodium silicate(Module 3)at the different ratios of Na2SiO3 to NaOH of 1,1.5,2,and 2.5.This study aimed to experimentally determine the optimum binder and distribution ratio of EP,with the lowest coefficient of thermal conductivity and the lowest density.The lowest thermal conductivity and the lowest density were determined as 0.04919 W·m−1·K−1 and 133.267 kg/m3,respectively,in the sample prepared with 83.33%powder-size EP,6 mol·L−1 sodium hydroxide solution,and ratio of Na2SiO3 to NaOH of 1.5.The density,thermal conductivity,and compressive strength of the sample showed the same trends of behavior when the Na2SiO3 to NaOH ratio was increased.In addition,the highest compressive strength was measured in 12 mol·L−1 NaOH concentration regardless of particle size.In conclusion,the study predicts that the EP-based thermal insulation panel can be used as an insulation material in the construction industry according to the TS825 Thermal Insulation Standard.展开更多
基金supported by the Science and Technology Projects of Fujian Province of China(Grant No.2010H6025)Science and Technology Projects of Xiamen City of China(Grant No.3502Z20103012)。
文摘Thermal conductivity is an important quantity which represents the characteristic of Vacuum Insulation Panel’s(VIP’s)performance.Precise measurement of thermal conductivity provides better quality assurance for the users.In this paper,we presented a novel embedded sensor method to measure the thermal conductivity of VIP.The proposed method evaluated the quality of VIP primarily based on the relationship between thermal conductivity and frequency characteristic of the output signal.In addition,we presented a new mean ridge regression extreme leaning machine(M-RRELM)model via improving extreme learning machine(ELM)by ridge regression to modify the relationship between the thermal conductivity and the output signal frequency characteristic.Experiments have shown that the M-RRELM model has higher precision compared with the traditional ELM.The proposed method achieved good performance and was faster than the well known methods.
基金The authors gratefully acknowledge the financial assistance of the Scientific and Technical Research Council(TUBITAK)of Turkey provided under Project:115M041.
文摘The International Energy Agency(IEA)states that global energy consumption will increase by 53%by 2030.Turkey has 70%of the world’s perlite reserves,and in order to reduce energy consumption a thermal insulation panel was developed in Turkey using different particle sizes of expanded perlite(EP).In this study,0–1.18 mm(powder)and 0–3 mm(granular)EP particle sizes were selected,since they have the lowest thermal conductivity coefficients among all the particle sizes.In addition,an alkali activator solution was used as a binder in the mixtures.The alkaline activator solution was obtained by mixing sodium hydroxide solution(6,8,10,and 12 mol·L−1)and sodium silicate(Module 3)at the different ratios of Na2SiO3 to NaOH of 1,1.5,2,and 2.5.This study aimed to experimentally determine the optimum binder and distribution ratio of EP,with the lowest coefficient of thermal conductivity and the lowest density.The lowest thermal conductivity and the lowest density were determined as 0.04919 W·m−1·K−1 and 133.267 kg/m3,respectively,in the sample prepared with 83.33%powder-size EP,6 mol·L−1 sodium hydroxide solution,and ratio of Na2SiO3 to NaOH of 1.5.The density,thermal conductivity,and compressive strength of the sample showed the same trends of behavior when the Na2SiO3 to NaOH ratio was increased.In addition,the highest compressive strength was measured in 12 mol·L−1 NaOH concentration regardless of particle size.In conclusion,the study predicts that the EP-based thermal insulation panel can be used as an insulation material in the construction industry according to the TS825 Thermal Insulation Standard.