Thermal conductivity and thermal diffusivity coefficients of 12Kh18N10T stainless steel in a wide temperature range

Stankus, S. V.; Savchenko, I. V.; Baginskii, A. V.; Verba, O. I.; Prokop’ev, A. M.; Khairulin, R. A.

doi:10.1134/s0018151x08050222

Cited by 20 publications

(6 citation statements)

References 2 publications

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“…The calculated thermal diffusivity for steel 12H18N10T was also weighed against experimental data [14] at high temperatures Т 0 . Results of this comparison showed, that the difference between these values didn't exceed 5 %.…”

Section: Resultsmentioning

confidence: 99%

“…The above mentioned nonlinear boundary value problem was solved by the method of finite differences using an iteration algorithm, developed for the numerical solution of hightemperature heat-transfer problems under conditions of active physicochemical transitions of high-energy condensate liquid substances [13]. The reliability of the results of the numerical modeling was checked by comparison them with experimental data [14]. Also conservatism of used difference scheme according to procedure discussed in [13] was analyzed.…”

Section: Statement Of the Problemmentioning

confidence: 99%

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Evaluation of the laser-flash method and its errors for determining of materials thermal diffusivity at high temperatures

Katz

2017

MATEC Web Conf.

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The article deals with evaluation of determining constructional materials thermal characteristics systematic errors by laser-pulse method under high temperature conditions. The article gives a detailed analysis of the influence of heat exchange with surrounding air on systematic errors. It is shown that laser pulse method can be used for calculation of thermal diffusivity and thermal capacity of the metals and alloys with high thermal diffusivity for temperatures not exceeding 1173 K.

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Section: Resultsmentioning

confidence: 99%

Section: Statement Of the Problemmentioning

confidence: 99%

Evaluation of the laser-flash method and its errors for determining of materials thermal diffusivity at high temperatures

Katz

2017

MATEC Web Conf.

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“…The workpiece is considered to be made of 12Kh18N10T steel with the following properties [33,34]. The tools are considered to be iso-thermal with a constant temperature of T d = 750 • C while the ambient temperature T a is considered to be 20 • C. The workpiece material is considered to have a heat transfer coefficient h wd = 310 Wm −2 K −1 with respect to the tools and h wa = 50 Wm −2 K −1 with respect to the ambient environment.…”

Section: D Axisymmetric Screwmentioning

confidence: 99%

Thermo-viscoplastic numerical modeling of metal forging process by Pseudo Inverse Approach

Thomas

Abbès

et al. 2020

Mechanics & Industry

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Constant demands of light-weighting have forced many industries to resort to manufacturing practices that promise a component with a higher strength-to-weight ratio. Hot forging is one such method used to produce parts using difficult-to-form materials as well as to achieve complex geometries. Although numerical methods provide an efficient means to predict the material yield and the stress/strain states of the product at different stages of forming and classical methods are accurate enough to provide a suitable representation of the process, they tend to be computationally expensive. This limits their use in process optimization studies. The Pseudo Inverse Approach (PIA) developed in the context of 2D axisymmetric cold forming, provides a quick and fairly accurate estimate of the stress and strain fields in the final product for a given initial shape. In this work, the PIA is extended to include the thermal and viscoplastic effects associated with the hot forging process. The results are compared with commercially available software based on the classical approaches to show the efficiency and the limitations of PIA.

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“…The roofs of the cabin model were made of either a steel plate or a wooden plate. The thermal diffusivity of stainless steel is about 3.4x10 -6 m 2 /s to 12x10 -6 m 2 /s depending on the grade of the steel [18][19] while that of wood is roughly 0.161x10 -6 m 2 /s [20]. This property signifies the ability of a material to conduct thermal energy relative to its ability to store thermal energy.…”

Section: Effects Of Roof Materialsmentioning

confidence: 99%

Thermal Accumulation in a General Car Cabin Model

Tseng¹,

Yan²,

Leong³

2014

JFFHMT

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Automobile airconditioning systems are not very efficient even for use in conjunction with internal combustion engines. This problem is more critical if they are to be used in electric vehicles because conventional systems consume a significantly more energy and therefore tremendously shortens the travel distance per charge of an electric vehicle. Besides the development of new generation airconditioning system, one of the easier remedies is to reduce the heating effects of a cabin so that the requirement for airconditioning can be minimized and thus its energy consumption by the system. Current work aims to identify some of the key factors that may help minimize the cooling load of an electrical vehicle. This work investigates the solar radiation effect on a 5:1 reduced scale car cabin, whose dimensions were based on the actual dimension of a Formosa Martiz. In the process of radiative heating, the temperatures in the cabin were found increase at a much higher rate in the beginning. On the other hand, the installation of window film and sun screen effectively reduced the rise in cabin temperature. Hence, their installation will significantly help saving the overall car energy and therefore extend an electric car travel distance per charge. The color of the cabin external surfaces should be carefully chosen so that these surfaces can effectively reflect the radiative heat energy. Also, the cabin ceiling should be insulated as much as possible to reduce the amount of heat conduction into the cabin space.

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Thermal conductivity and thermal diffusivity coefficients of 12Kh18N10T stainless steel in a wide temperature range

Cited by 20 publications

References 2 publications

Evaluation of the laser-flash method and its errors for determining of materials thermal diffusivity at high temperatures

Evaluation of the laser-flash method and its errors for determining of materials thermal diffusivity at high temperatures

Thermo-viscoplastic numerical modeling of metal forging process by Pseudo Inverse Approach

Thermal Accumulation in a General Car Cabin Model

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