“…The tensile strength b σ and the elongation δ were tested through tensile tests based on the digital image correlation method [16]. The thermal conductivity κ was tested by the TC3000 heat conduction coefficient instrument developed by Xi'an Xiaxi Electronic Technology Co., Ltd., based on the transient hot-wire method [17]. Vickers hardness was employed due to its sensitivity.…”
Material machinability evaluation is the basis of a reasonable manufacturing process. Material machinability can be evaluated qualitatively and quantitatively using the radar-graph method. However, two key questions remain unresolved, and these are indicator weight confirmation and effective evaluation. A comprehensive evaluation method is proposed to address the first question. A statistical method is used to compute the indicator weight, which is determined by a subjective or objective weighting method. An optimization model is established based on minimizing the total deviation between the original evaluation weight and the combination weight. As to the second question, a comprehensive evaluation index K, including the area vector and perimeter vector of a radar-graph, is defined to quantitatively evaluate material machinability. Machinability examples of Ti6Al4V titanium alloy, AISI316L stainless steel, P20 mold steel, 20 steel, and normalized 45 steel are provided. The results show that the method is feasible, reliable, and effective.
“…The tensile strength b σ and the elongation δ were tested through tensile tests based on the digital image correlation method [16]. The thermal conductivity κ was tested by the TC3000 heat conduction coefficient instrument developed by Xi'an Xiaxi Electronic Technology Co., Ltd., based on the transient hot-wire method [17]. Vickers hardness was employed due to its sensitivity.…”
Material machinability evaluation is the basis of a reasonable manufacturing process. Material machinability can be evaluated qualitatively and quantitatively using the radar-graph method. However, two key questions remain unresolved, and these are indicator weight confirmation and effective evaluation. A comprehensive evaluation method is proposed to address the first question. A statistical method is used to compute the indicator weight, which is determined by a subjective or objective weighting method. An optimization model is established based on minimizing the total deviation between the original evaluation weight and the combination weight. As to the second question, a comprehensive evaluation index K, including the area vector and perimeter vector of a radar-graph, is defined to quantitatively evaluate material machinability. Machinability examples of Ti6Al4V titanium alloy, AISI316L stainless steel, P20 mold steel, 20 steel, and normalized 45 steel are provided. The results show that the method is feasible, reliable, and effective.
“…In the transient hot wire technique, 91,94 a hot wire is inserted into the centerline of the pebble bed to which the wire provides unchanged heat source, as shown in Figure 17. The following equation is adopted to obtain the effective thermal conductivity of the pebble bed, based on the assumption of one‐dimensional heat flux in the radial direction from the centerline 94 :where Δ T is the temperature change with time, t ; κ is the pebble bed thermal diffusivity; q is the heat generation power per length; c p is the heat capacity.…”
Section: Effective Thermal Conductivity Of the Pebble Bedmentioning
confidence: 99%
“…Facility used to measure pebble ETC adopting transient hot wire technique 94 . ETC, effective thermal conductivity [Colour figure can be viewed at wileyonlinelibrary.com]…”
Section: Effective Thermal Conductivity Of the Pebble Bedmentioning
Summary
Merits in the inherent safety characteristics and multiple applications, cause the pebble‐bed‐type nuclear reactors, including the High‐Temperature Gas‐cooled Reactors, Fluoride‐salt‐cooled High‐temperature Reactors and Water‐cooled Pebble‐bed Reactors, to gain more focus in recent years. Thermal‐hydraulic characteristics in the pebble bed reactor core are of great significance to the safety evaluation and design of such reactors. Experimental investigations on the thermal‐hydraulics of different fluids in the pebble‐bed‐type of nuclear reactor core have been reviewed in this paper. Main experimental methods to determine the flow regime transition, convective heat transfer coefficients, and effective thermal conductivity have been summarized, with the merits and disadvantages discussed. Discussions are given on the main factors that can influence the flow, convective heat transfer and effective thermal conductivity in the pebble bed.
“…Effective thermal conductivity was calculated by hot wire heating method in some studies. was also calculated under various heating conditions of the bed, most of which were external heating of the bed with different sizes and shapes of the particles 18‐24 . Some of the researchers have also calculated the effective thermal conductivity by numerical methods 25 .…”
Several researchers have modeled the heat transfer in a packed bed, heated externally, and determined its effective thermal conductivity (keff). But till date, very few researchers have studied the heat transfer of the pebble bed, where the heat is generated inside the bed; and the effective thermal conductivity of the packed bed with internal heat generation has not yet been reported. In the present work, heat generation inside the bed has been imitated by inductively heating randomly placed steel balls with lithium titanate (Li2TiO3) pebbles. The system has been modeled and validated with experimental results. The keff of the Li2TiO3 pebble bed is determined for various process conditions. A correlation has been developed to calculate the keff based on various process parameters such as pebble diameter, air flow rate, and induction temperature. The result presented in this study will be used for the design and scale‐up studies of future fusion reactors.
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