CN108548842A - The computational methods and device of metal enclosure structure heat transfer coefficient - Google Patents
The computational methods and device of metal enclosure structure heat transfer coefficient Download PDFInfo
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- CN108548842A CN108548842A CN201810181472.XA CN201810181472A CN108548842A CN 108548842 A CN108548842 A CN 108548842A CN 201810181472 A CN201810181472 A CN 201810181472A CN 108548842 A CN108548842 A CN 108548842A
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- heat transfer
- transfer coefficient
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- building enclosure
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/20—Investigating or analyzing materials by the use of thermal means by investigating the development of heat, i.e. calorimetry, e.g. by measuring specific heat, by measuring thermal conductivity
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/18—Investigating or analyzing materials by the use of thermal means by investigating thermal conductivity
Abstract
The present invention provides a kind of computational methods and device of metal enclosure structure heat transfer coefficient, and this method includes：Step 11：To divide metal building enclosure perpendicular to the plane of the outer surface of metal building enclosure and/or inner surface, metal building enclosure is decomposed into the n class nodes with different structure feature, structure feature includes the size of the component that node is included and component, wherein, quantity of the i-th class node in metal building enclosure is ai, i=1,2 ... n；Step 12：Judge whether n classes node has determined that heat transfer coefficient, if not, 13 are thened follow the steps, if so, thening follow the steps 14；Step 13：The heat transfer coefficient that the node for not determining heat transfer coefficient is calculated using the simulation of stimulation software, executes step 14；Step 14：It is k to enable the heat transfer coefficient of the i-th class nodei, the heat transfer coefficient of metal building enclosure is K, thenMethod based on the present invention can accurately and easily obtain the heat transfer coefficient of metal building enclosure.
Description
Technical field
The present invention relates to architectural energy saving system design and applied technical field, more particularly to a kind of metal heat transfer across wall
The computational methods and device of coefficient.
Background technology
Fig. 1 and Fig. 2 is current novel metal building enclosure, which is mainly used for assembled architecture, usually
For exterior wall, roof, side window, external door etc., to resist the elements, temperature change, solar radiation etc., have heat preservation, heat-insulated, sound insulation,
Waterproof, moisture-proof, fire resisting, resistance to performance of waiting so long.Wherein, 111 be aluminum alloy bottom plate (inner surface), and 112 be glass fibre sound absorption cotton,
113 be heat preservation rock, and 114 aluminium alloy plates (outer surface), 121 be wingceltis item, and 131 be holder, and 132 be heat insulating mattress.
Existing heat transfer coefficient theoretical calculation method continues to use the calculating of traditional tablet stratiform building enclosure substantially in engineering
Method, but there are air blanketings and metallic support in this novel metal building enclosure, and metallic support can lead to depositing for heat bridge
To make heat flux distribution be different from traditional building enclosure so that heat transfer coefficient changes.
Other than theoretical calculation method, can also the heat transfer system of the novel metal building enclosure be obtained using engineering survey
Number, but there is the influence of the factors such as test environment, measuring instrument accuracy, test specimen installation again in engineering survey so that it measures
As a result there is very big error.
Based on this, be badly in need of a kind of heat transfer coefficient computational methods covering metal structure heat bridge effect at present, with solve Fig. 1 with
And the heat transfer coefficient computational problem of metalloid building enclosure.
Invention content
In view of this, the present invention provides a kind of computational methods and device of metal enclosure structure heat transfer coefficient, to solve to deposit
In the heat transfer coefficient computational problem of the metal building enclosure of heat bridge effect.
The present invention provides a kind of computational methods of metal enclosure structure heat transfer coefficient, and this method includes
Step 11：To divide metal building enclosure perpendicular to the plane of the outer surface of metal building enclosure and/or inner surface,
Metal building enclosure is decomposed into the n class nodes with different structure feature, which includes the component that node is included
With the size of component, wherein quantity of the i-th class node in metal building enclosure is ai, i=1,2 ... n；
Step 12：Judge whether n classes node has determined that heat transfer coefficient, if not, 13 are thened follow the steps, if it is, holding
Row step 14；
Step 13：The heat transfer coefficient that the node for not determining heat transfer coefficient is calculated using the simulation of stimulation software, executes step
Rapid 14；
Step 14：It is k to enable the heat transfer coefficient of the i-th class nodei, the heat transfer coefficient of metal building enclosure is K, then
The present invention also provides a kind of computing device of metal enclosure structure heat transfer coefficient, which includes：
Node Decomposition module：To be enclosed perpendicular to the plane of the outer surface of metal building enclosure and/or inner surface segmentation metal
Metal building enclosure is decomposed into the n class nodes with different structure feature by protection structure, which includes that node is included
Component and component size, wherein quantity of the i-th class node in metal building enclosure be ai, i=1,2 ... n；
Heat transfer coefficient judgment module：Judge whether n classes node has determined that heat transfer coefficient, if it is not, then executing heat transfer coefficient
Computing module, if it is, executing heat transfer coefficient computing module；
Node heat transfer coefficient computing module calculates the biography for the node for not determining heat transfer coefficient using the simulation of stimulation software
Hot coefficient executes heat transfer coefficient computing module；
Heat transfer coefficient computing module is gone along with sb. to guard him, it is k to enable the heat transfer coefficient of the i-th class nodei, the heat transfer coefficient of metal building enclosure
For K, then
The computational methods of metal enclosure structure heat transfer coefficient proposed by the present invention, using node as unit, there will be heat bridge effects
The novel metal building enclosure answered is split as a few class nodes of different structure feature (type), and is utilized respectively stimulation calculating
Software simulation calculates the heat transfer coefficient of different nodes, finally according to the quantity of different nodes and distribution in building enclosure, is added
The heat transfer coefficient of entire metal building enclosure is calculated in power.
The application method solves the problems, such as that the heat transfer coefficient of novel building enclosure is imponderable；Both novel building enclosure had been considered
The heat bridge effect of interior metal structure provides a kind of quick and easy method for its calculating again；When calculating quantity and structure feature
After enough nodes, encountering the various forms of metal building enclosures of variety classes can simplify, and only calculate the structure
Including several different types of nodes and number of nodes, and the node with same or similar structure feature can remove simulation from and calculate
Process, the heat transfer coefficient of the metal building enclosure can conveniently be obtained by substituting into calculation formula.
Description of the drawings
Fig. 1 is that novel metal building enclosure layer cuts open schematic diagram；
Fig. 2 is the A-A sectional views of Fig. 1；
Fig. 3 is the flow chart of the computational methods of metal enclosure structure heat transfer coefficient of the present invention；
Fig. 4 is the schematic diagram of metal building enclosure node division；
Fig. 5 is the schematic diagram of 3 class nodes in Fig. 1；
The stimulation figure of the 1st class nodes of Fig. 6；
Fig. 7 is the structure chart of the computing device of metal enclosure structure heat transfer coefficient of the present invention.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention clearer, right in the following with reference to the drawings and specific embodiments
The present invention is described in detail.
As shown in figure 3, the present invention provides a kind of computational methods of metal enclosure structure heat transfer coefficient, include the following steps：
Step 11 (S101)：To be enclosed perpendicular to the plane of the outer surface of metal building enclosure and/or inner surface segmentation metal
Metal building enclosure is decomposed into the n class nodes with different structure feature by protection structure, which includes that node is included
Component and component size, wherein quantity of the i-th class node in metal building enclosure be ai, i=1,2 ... n.
In a step 11, node is made of component, such as 111 (aluminum alloy bottom plates) in Fig. 1 are gone along with sb. to guard him for novel metal
A kind of component in structure, the component that similar node includes not only is identical, and the size of component is also identical, inhomogeneous node packet
The size of the component difference and/or component that contain is different.
When metal building enclosure to be decomposed into the n class nodes with different structure feature, it should be ensured that the structure of similar node
Feature is identical, that is, includes identical component and scantling is identical, and inhomogeneous node structure feature is different, that is, includes different
The size of component and/or component is different.
Step 12 (S102)：Judge whether n classes node has determined that heat transfer coefficient, if not, 13 are thened follow the steps, if
It is to then follow the steps 14.
Step 13 (S103)：The heat transfer coefficient for the node for not determining heat transfer coefficient is calculated using the simulation of stimulation software,
Execute step 14.
Step 14 (S104)：It is k to enable the heat transfer coefficient of the i-th class nodei, the heat transfer coefficient of metal building enclosure is K, then
By taking the novel metal building enclosure (metal building enclosure) of Fig. 1 and Fig. 2 as an example, the method for definition graph 3.Novel metal
The contour dimension of building enclosure is generally upper and lower surface 111 and the 114 of Fig. 2 (corresponding diagram 1 and) and is square or rectangular vertical
Cube.Novel metal building enclosure is considered as cube, shown in Fig. 4, thereon/lower surface corresponds to novel metal building enclosure
Outer/inner surface.To divide metal building enclosure perpendicular to the plane of the outer surface of metal building enclosure or inner surface, in Fig. 4,
Cutting planes include the plane of the composition of cutting line 401 and 402, the plane of the composition of cutting line 403 and 404, cutting line 405 and 406
The plane of plane and cutting line 407 and 408 composition of composition can be by novel metal after cutting the novel metal building enclosure
Building enclosure is divided into the 3 class nodes with different structure feature.It is ensured that the structure feature of similar node is identical, no when segmentation
The structure feature of similar node is different.
If observation chart 4 it is found that upper surface cutting line 402 determine, then the cut-off rule 401 of side by cutting line 402 with
The intersection point in the sideline of upper surface determines, therefore when being laid out cutting planes, emphasis is only needed to determine the cutting line of upper surface.
In order to ensure the structure feature of similar node is identical, the structure feature of inhomogeneity node is different, in layout 4 on
When the cutting line on surface so that the 1st class node only include 114 aluminium alloy plates, 113 heat preservation rocks, 112 glass fibres sound absorption cotton and
111 aluminum alloy bottom plates (as shown in Figure 5), the 2nd class node do not include 131 holders and 132 heat insulating mattress, i.e. the 2nd class node includes 114
Aluminium alloy plate, 113 heat preservation rocks, 112 glass fibres sound absorption cotton, 111 aluminum alloy bottom plates and 121 wingceltis items (as shown in Figure 5), the 3rd
Class node includes 114 aluminium alloy plates, 113 heat preservation rocks, 112 glass fibres sound absorption cotton, 111 aluminum alloy bottom plates, 121 wingceltis items, 131
Holder and 132 heat insulating mattress (as shown in Figure 5).Quantity of the statistics per class node, by the i-th class node in the metal building enclosure
Quantity is denoted as ai, i=1,2 ... n.
The contour dimension that the application limits same class node is identical, and the contour dimension of inhomogeneous node can be identical,
It can be different.In addition, the method for the application Fig. 3 cannot be only used for calculating the heat transfer coefficient of Fig. 1 novel metal building enclosures, also may be used
For calculating other, there are the heat transfer coefficients of the metal building enclosure of air blanketing and heat bridge effect.
Judge whether n classes node has determined that heat transfer coefficient in step 12, can specifically include：Order has determined that heat transfer coefficient
Node total number is m, if the size of each component is phase in the i-th class node in metal building enclosure in wherein j-th of node
The scaling in proportion (scaling is identical) of scantling is answered, then the i-th class node is identical as the heat transfer coefficient of j-th of node, i=
1,2 ... n, j=1,2 ... m, the i-th class node can continue to use the heat transfer coefficient of j-th of node.
After calculating quantity and structure feature (type) enough node, if the structure feature of node is identical or class
Seemingly, then previous result of calculation can be continued to use, removes stimulation calculating process, the heat transfer system of quick obtaining metal building enclosure from
Number.
In order to continue to use previous result of calculation as possible, metal building enclosure is decomposed into the node with different structure feature
When, pre-set dimension partitioning site is used as possible, i.e. the size of the outer surface per class node and/or inner surface is pre-set dimension.One
As for, the outer surface of metal building enclosure is square, then pre-set dimension also may be set to square.
Further, in step 13：The biography for the node for not determining heat transfer coefficient is calculated using stimulation software for calculation
Hot coefficient includes：Judge not determine whether the structure of the node of heat transfer coefficient is applicable in engineering heat transfer coefficient computational methods, if so,
Then utilizing works heat transfer coefficient computational methods calculate the heat transfer coefficient for the node for not determining heat transfer coefficient, if not, utilizing calorifics
Analogue calculates the heat transfer coefficient for the node for not determining heat transfer coefficient.
For example, the 1st class node does not include 121 wingceltises article, 131 holders and 132 heat insulating mattress, engineering heat transfer coefficient meter may be used
Calculation method calculates the heat transfer coefficient of the node, then uses engineering heat transfer coefficient computational methods that can be quickly obtained heat transfer coefficient, exempt from
Go complicated, time-consuming stimulation calculating process.
When certain one kind node is needed using stimulation software for calculation Numerical heat transfer coefficient, the practical knot based on the node
Structure size establishes nodal analysis method and divides network, and the quantity that network divides utilizes fluent according to the precision set needed is calculated
Or and other stimulation software for calculation treat analog node carry out diabatic process simulation calculate, boundary condition according to specifically
Use environment is set, and the roofing roof such as the metal building enclosure for -10 DEG C of external environment, 20 DEG C of internal environment is then arranged
Node huyashi-chuuka (cold chinese-style noodles) is -10 DEG C, and hot face is 20 DEG C, and a variety of materials parameter of node is in the light of actual conditions set.Fig. 6 is fluent pairs the
The stimulation figure of 1 class node.
The computational methods of metal enclosure structure heat transfer coefficient proposed by the present invention, using node as unit, there will be heat bridge effects
The novel metal building enclosure answered is split as a few class nodes of different type (structure feature), and is utilized respectively stimulation calculating
Software calculates the heat transfer coefficient of different nodes, finally according to the quantity of different nodes and distribution in building enclosure, is weighted meter
It calculates, to obtain the heat transfer coefficient of entire metal building enclosure.
The application method solves the problems, such as that the heat transfer coefficient of novel building enclosure is imponderable；Both novel building enclosure had been considered
The heat bridge effect of interior metal structure provides a kind of integrated quick and easy method for its calculating again；Amount and type are counted when calculating
After (structure feature) enough nodes, encountering the various forms of metal building enclosures of variety classes can simplify, only
Calculate the building enclosure include several different types of nodes and number of nodes, and with same or similar type node can in order to avoid
Simulation calculating process is gone, the heat transfer coefficient of the metal building enclosure can conveniently be obtained by substituting into calculation formula.
As shown in fig. 7, also a kind of computing device of metal enclosure structure heat transfer coefficient of the present invention, the device include：
Node Decomposition module：It is enclosed with the plane cutting metal perpendicular to the outer surface of metal building enclosure and/or inner surface
Metal building enclosure is decomposed into the n class nodes with different structure feature by protection structure, which includes that node is included
Component and component size, wherein quantity of the i-th class node in metal building enclosure be ai, i=1,2 ... n；
Heat transfer coefficient judgment module：Judge whether n classes node has determined that heat transfer coefficient, if it is not, then executing heat transfer coefficient
Computing module, if it is, executing heat transfer coefficient computing module；
Node heat transfer coefficient computing module calculates the biography for the node for not determining heat transfer coefficient using the simulation of stimulation software
Hot coefficient executes heat transfer coefficient computing module；
Heat transfer coefficient computing module is gone along with sb. to guard him, it is k to enable the heat transfer coefficient of the i-th class nodei, the heat transfer coefficient of metal building enclosure
For K, then
Further, judge whether n classes node has determined that heat transfer coefficient includes in heat transfer coefficient judgment module：Order has determined that
The node total number of heat transfer coefficient is m, if the size of each component is respective members in the i-th class node in wherein j-th of node
The scaling in proportion of size, then the i-th class node is identical as the heat transfer coefficient of j-th of node, i=1,2 ... n, j=1,2 ... m.
Further, the size of the outer surface of n classes node and/or inner surface is pre-set dimension.
Further, it in heat transfer coefficient computing module, is calculated using stimulation software for calculation and does not determine heat transfer coefficient
The heat transfer coefficient of node includes：
Judge not determine whether the structure of the node of heat transfer coefficient is applicable in engineering heat transfer coefficient computational methods, if it is,
Utilizing works heat transfer coefficient computational methods calculate the heat transfer coefficient for the node for not determining heat transfer coefficient, if not, utilizing calorifics mould
Quasi- software for calculation calculates the heat transfer coefficient for the node for not determining heat transfer coefficient.
It should be noted that the embodiment of the computing device of metal enclosure structure heat transfer coefficient of the present invention, goes along with sb. to guard him with metal
The embodiment principle of the computational methods of structural thermal coefficient is identical, and related place can mutual reference.
The foregoing is merely illustrative of the preferred embodiments of the present invention, not to limit the present invention scope, it is all
Within the spirit and principle of technical solution of the present invention, any modification, equivalent substitution, improvement and etc. done should be included in this hair
Within bright protection domain.
Claims (8)
1. a kind of computational methods of metal enclosure structure heat transfer coefficient, which is characterized in that the method includes：
Step 11：It is gone along with sb. to guard him with dividing the metal perpendicular to the plane of the outer surface of the metal building enclosure and/or inner surface
The metal building enclosure is decomposed into the n class nodes with different structure feature by structure, and the structure feature includes node institute
Including component and component size, wherein quantity of the i-th class node in the metal building enclosure be ai, i=1,2 ...
n；
Step 12：Judge whether the n classes node has determined that heat transfer coefficient, if not, 13 are thened follow the steps, if it is, holding
Row step 14；
Step 13：The heat transfer coefficient that the node for not determining heat transfer coefficient is calculated using the simulation of stimulation software, executes step 14；
Step 14：It is k to enable the heat transfer coefficient of the i-th class nodei, the heat transfer coefficient of the metal building enclosure is K, then
2. according to the method described in claim 1, it is characterized in that, described judge whether the n classes node has determined that heat transfer system
Number includes：
It enables and has determined that the node total number of heat transfer coefficient is m, if the size of each component is described i-th in wherein j-th of node
The scaling in proportion of respective members size in class node, then the heat transfer coefficient phase of the i-th class node and j-th of node
Together, i=1,2 ... n, j=1,2 ... m.
3. according to the method described in claim 1, it is characterized in that, the outer surface of the n classes node and/or the size of inner surface
For pre-set dimension.
4. according to the method described in claim 1, it is characterized in that, in the step 13, the utilization stimulation calculates soft
Part, which calculates, does not determine that the heat transfer coefficient of the node of heat transfer coefficient includes：
Do not determine whether the structure of the node of heat transfer coefficient is applicable in engineering heat transfer coefficient computational methods described in judging, if it is,
The heat transfer coefficient for not determining the node of heat transfer coefficient described in the calculating of utilizing works heat transfer coefficient computational methods, if not, utilizing heat
Learn the heat transfer coefficient for the node for not determining heat transfer coefficient described in analogue calculating.
5. a kind of computing device of metal enclosure structure heat transfer coefficient, which is characterized in that described device includes：
Node Decomposition module：To divide the gold perpendicular to the plane of the outer surface of the metal building enclosure and/or inner surface
Belong to building enclosure, the metal building enclosure is decomposed into the n class nodes with different structure feature, the structure feature includes
The size of component and component that node is included, wherein quantity of the i-th class node in the metal building enclosure is ai, i=
1,2…n；
Heat transfer coefficient judgment module：Judge whether the n classes node has determined that heat transfer coefficient, if it is not, then executing heat transfer coefficient
Computing module, if it is, executing heat transfer coefficient computing module；
Node heat transfer coefficient computing module calculates the heat transfer system for the node for not determining heat transfer coefficient using the simulation of stimulation software
Number executes heat transfer coefficient computing module；
Heat transfer coefficient computing module is gone along with sb. to guard him, it is k to enable the heat transfer coefficient of the i-th class nodei, the heat transfer coefficient of the metal building enclosure
For K, then
6. device according to claim 5, which is characterized in that described to judge whether the n classes node has determined that heat transfer system
Number includes：
It enables and has determined that the node total number of heat transfer coefficient is m, if the size of each component is described i-th in wherein j-th of node
The scaling in proportion of respective members size in class node, then the heat transfer coefficient phase of the i-th class node and j-th of node
Together, i=1,2 ... n, j=1,2 ... m.
7. device according to claim 5, which is characterized in that the outer surface of the n classes node and/or the size of inner surface
For pre-set dimension.
8. device according to claim 5, which is characterized in that in the node heat transfer coefficient computing module, the utilization
Stimulation software for calculation, which calculates, does not determine that the heat transfer coefficient of the node of heat transfer coefficient includes：
Do not determine whether the structure of the node of heat transfer coefficient is applicable in engineering heat transfer coefficient computational methods described in judging, if it is,
The heat transfer coefficient for not determining the node of heat transfer coefficient described in the calculating of utilizing works heat transfer coefficient computational methods, if not, utilizing heat
Learn the heat transfer coefficient for the node for not determining heat transfer coefficient described in analogue calculating.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115774940A (en) * | 2022-12-05 | 2023-03-10 | 北京绿建软件股份有限公司 | Building linear thermal bridge determination method and device, electronic equipment and storage medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295063A (en) * | 2016-08-24 | 2017-01-04 | 大连都市发展设计有限公司 | Building node equivalent face heat transfer coefficient calculating method |
-
2018
- 2018-03-06 CN CN201810181472.XA patent/CN108548842A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295063A (en) * | 2016-08-24 | 2017-01-04 | 大连都市发展设计有限公司 | Building node equivalent face heat transfer coefficient calculating method |
Non-Patent Citations (2)
| Title |
|---|
| 孔凡红，赵强，郭小强，谢颖: "建筑材料多孔介质热物性参数测试实验研究", 《太阳能学报》 * |
| 沈阳远大集团: "《百度文库》", 18 December 2010 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115774940A (en) * | 2022-12-05 | 2023-03-10 | 北京绿建软件股份有限公司 | Building linear thermal bridge determination method and device, electronic equipment and storage medium |
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