Zobrazeno 1 - 10
of 104
pro vyhledávání: '"temperature prediction model"'
Autor:
Xinhao Zheng, Yuexin Chen
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
IntroductionGross Domestic Product (GDP) is the most well-known and widely used measure of a country’s economic health. However, GDP fails to account for the depletion of natural resources and the environmental damage that occurs in the pursuit of
Externí odkaz:
https://doaj.org/article/5043fda75c91441bbe8caf49b00df3a2
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 104926- (2024)
This study explores the thermal behavior of graphite-enhanced expanded polystyrene (GEPS) both with and without a rendering cover during cone calorimeter testing. We designed a sample holder with inserted thermocouples to capture temperature variatio
Externí odkaz:
https://doaj.org/article/db574485ba804696a04373cacf8c4181
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 44, Iss 1, Pp 66-72 (2024)
To study the variation rule of workpiece temperature concerning machining parameters in the cylindrical transverse grinding process of gear steel, 18CrNiMo7-6 gear steel was selected as the workpiece material, and a CBN grinding wheel was used as the
Externí odkaz:
https://doaj.org/article/ff9156005e9a4c93a2b34e40bb5f2b18
Publikováno v:
Case Studies in Thermal Engineering, Vol 59, Iss , Pp 104454- (2024)
The temperature of a motor significantly affects its control and lifespan. However, due to the influence of motor structure and operating environment, precise temperature measurement of the motor is challenging with temperature sensors. Therefore, ma
Externí odkaz:
https://doaj.org/article/ee7e111e4e064ea690d84a2e6f37068f
Publikováno v:
Journal of Materials Research and Technology, Vol 27, Iss , Pp 5191-5203 (2023)
EVC has proven to be an effective means of machining difficult-to-process materials. QVASC inherits EVC's intermittent cutting and friction reversal advantages, eliminating EVC cutting residues and improving machining quality. In order to deeply unde
Externí odkaz:
https://doaj.org/article/0b7e1a7d76ea4fbf99e5c72296bbff1d
Autor:
Kai Hu, Wenyi Zhang
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8885 (2024)
Oil temperature plays a crucial role in hydraulic closed-circuit systems (HCS), and conventional thermal equilibrium models and coupled simulation models face challenges in terms of accuracy, efficiency, and cost when calculating oil temperature. Thi
Externí odkaz:
https://doaj.org/article/a92066db72c7475584ccb01a2a013c74
Publikováno v:
Polymer Testing, Vol 130, Iss , Pp 108318- (2024)
Induction welding is considered to be one of the most promising welding technologies for carbon fiber reinforced thermoplastic (CFRTP) composites. However, the uncertainty of heat generation mechanisms presents a challenge to regulating the temperatu
Externí odkaz:
https://doaj.org/article/7409ad4a32a447569bfce429dada4bc6
Publikováno v:
Micromachines, Vol 15, Iss 4, p 430 (2024)
The problem that the thermal safety of flexible electronic devices is difficult to evaluate in real time is addressed in this study by establishing a BP neural network (GA-BPNN) temperature prediction model based on genetic algorithm optimisation. Th
Externí odkaz:
https://doaj.org/article/507a3ec7112a4fde9e942d49a389e1d6
Publikováno v:
Information Processing in Agriculture, Vol 9, Iss 3, Pp 343-354 (2022)
An accurate environment model is a fundamental issue in greenhouses control to improve the energy consumption efficiency and to increase the crop yield. With the increase of agricultural data generated by the Internet of Things (IoT), more feasible m
Externí odkaz:
https://doaj.org/article/90dcd3bb27324376b580d6b7ba424358
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