Thermal network model for temperature prediction in hard disk drive

Low, Y.L.; See, Boon Long; Tan, Crystal Tze Ying; Mou, Jianqiang; Ong, Eng Shi

doi:10.1007/s00542-009-0866-6

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…The longer wall of the building was oriented in the east-west direction. It had a total conditioned floor area of A f = 148.6 m 2 , with the total area of all surfaces facing the building zone A tot = 559.4 m 2 and an internal volume of 367.45 m 3 .…”

Section: Validation Of the Modelmentioning

confidence: 99%

“…Thermal network models, also known as resistance-capacitance (RC) networks, introduced by Beuken [1] and then rapidly developed in combination with the lumped capacitance method by other researchers, are widely used in a transient heat flow analysis at relatively low computational costs [2]. They are frequently employed in the thermal modelling of different physical objects of various complexities, such as the hard disk drive [3], the two-phase closed thermosyphon [4], the high-power LED light [5], the combustion chamber of the diesel engine [6], or the passive-cooled battery pack [7]. In addition to these problems, thermal networks are commonly used in building-related simulations.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of a Building with Hourly and Daily Varying Ventilation Flow: An Application of the Simulink S-Function

Michalak

2023

Energies

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This paper presents an application of the Simulink stvmgain S-function for the thermal modelling of a building zone based on the resistance–capacitance scheme of EN ISO 13790. That model in the form of the state-space matrix with time-varying elements was used in simulations of a building with hourly and, suggested in that standard, daily averaged ventilation airflow in five European cities. The following two ventilation schedules were used: occupancy-based; and wind-dependent. Comparative simulations were conducted in EnergyPlus. In general, the results obtained for the annual heating and cooling demand were better for hourly than daily averaged ventilation with an error below 10%. However, in several cases of cooling, the error was above 30%. When considering hourly indoor air temperatures, the proposed method provided very good results with MAE of up to 0.52 °C and 0.46 °C, RMSE < 0.69 °C and 0.62 °C, and CV(RMSE) < 3.09% and 2.75% for the daily averaged and hourly ventilation flow, respectively. For wind-driven ventilation, the temperatures were as follows: MAE < 0.49 °C and 0.48 °C; RMSE < 0.69 °C and 0.68 °C; and CV(RMSE) < 3.01% and 2.97%.

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Section: Validation Of the Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of a Building with Hourly and Daily Varying Ventilation Flow: An Application of the Simulink S-Function

Michalak

2023

Energies

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“…It must be noted that accurate predictions rely on integrated model that concludes the power losses estimation and the energy transfer. A number of analyses concerning the thermal behaviour of specific transmission elements such as the bearing and the gears have been carried out [1][2][3][4][5][6]. However, these studies are generally concentrated on the single component and do not account for their interactions with other surrounding elements.…”

Section: Introductionmentioning

confidence: 99%

“…In the past, the TNM has been employed in gear transmissions and electronics products. Low et al have been developed a TNM to predict the steady-state and transient temperature in a hard disk drive [6]. Diab et al applied the TNM which considered the power losses in the gear unit to describe the temperature distribution in a gear transmission [7].…”

Section: Introductionmentioning

confidence: 99%

Thermal Network Model for Temperature Prediction in Planetary Gear Trains

Chen

Qin

Wen

2011

AMM

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Their high-power-density design combined with their limited space make planetary gear trains often high power losses difficult to dissipate to the surround in time. The thermal network model for temperature prediction in planetary gear trains has been proposed. According to the principle of the conservation of energy, the thermal network model have been built and the model have been employed to analyze the transient temperature of the three stage 2K-H planetary gear trains used in Φ6.3m earth pressure balance(EPB) shield machine in series. The computed temperature results of the proposed TNM were in very good agreement with experimental measurements. It has been shown that this method is capable of performing temperature analysis. The results stemmed from the TNM have been shown that the temperature rise of the sun gears is quicker than the other parts and the PGT doesn’t reach thermal balance after the oil temperature reached 90 degrees, so the cooling system should be compelled.

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Thermal Analysis of a Canned SRM

Wang

Cheng

et al. 2018

Analysis and Mathematical Models of Canned Electrical Machine Drives

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Thermal network model for temperature prediction in hard disk drive

Cited by 10 publications

References 5 publications

Simulation of a Building with Hourly and Daily Varying Ventilation Flow: An Application of the Simulink S-Function

Simulation of a Building with Hourly and Daily Varying Ventilation Flow: An Application of the Simulink S-Function

Thermal Network Model for Temperature Prediction in Planetary Gear Trains

Thermal Analysis of a Canned SRM

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