Disclosure of Invention
An objective of the present invention is to provide a method for detecting a thermal conductivity of a graphene/graphite thermal conductive module, so as to solve the above technical problem.
The embodiment of the invention provides a heat-conducting property detection method applied to a graphene/graphite heat-conducting module, which comprises the following steps:
acquiring the length and the width of the graphene/graphite heat conduction module;
when the length and the width meet preset requirements, obtaining the material of each stacked component of the graphene/graphite heat conduction module;
detecting the thickness of each stacked component of the graphene/graphite heat conduction module;
and determining the heat conduction performance parameters of the graphene/graphite heat conduction module based on the material and the thickness of each stacked component.
Preferably, the thermal conductivity parameters of the graphene/graphite thermal conduction module are determined based on the material and thickness of each stacked component, and the determination comprises the following steps:
acquiring a preset material identification table;
determining a preset serial number value corresponding to the material based on the material identification table;
constructing a parameter vector of the graphene/graphite heat conduction module according to the stacking sequence of the components stacked, wherein the parameter vector is A ═ X (X)1,H1,X2,H2,…,Xn,Hn) (ii) a Wherein, X1Denotes the number value, H, corresponding to the component located at the lowermost layer1Indicating the thickness corresponding to the component located at the lowest layer; x2Indicating the number value, H, corresponding to the component of the layer above the lowermost layer2Indicating the thickness corresponding to the composition of the layer above the bottommost layer; xnDenotes the number value, H, corresponding to the component located at the uppermost layernIndicating the thickness corresponding to the component located at the uppermost layer; the graphene/graphite heat conduction module is formed by stacking n layers of components;
acquiring a preset heat-conducting performance parameter determination library, wherein judgment vectors in the heat-conducting performance parameter determination library correspond to the heat-conducting performance parameters one to one;
calculating the similarity of each judgment vector in the parameter vector and heat conductivity parameter determination library, wherein the similarity calculation formula is as follows:
wherein WP is similarity; xiIs a number value, h, corresponding to a component representing the ith layer in the parameter vectoriThe thickness of the component positioned in the ith layer is represented in the parameter vector; x is a radical of a fluorine atomiJudging the number of the component corresponding to the component at the ith layer in the corresponding parameter vector in the vector for judging; h is a total ofiA thickness judgment value representing the thickness of the component positioned at the ith layer in the corresponding parameter vector in the judgment vector;
and acquiring the heat conduction performance parameters corresponding to the judgment vectors with the maximum similarity of the parameter vectors in the heat conduction performance parameter determination library.
Preferably, the heat-conducting performance parameters include:
the square heat conduction factor, the product of the square heat conduction factor and the preset coefficient divided by the thickness of the graphene/graphite heat conduction module is the heat conduction coefficient of the graphene/graphite heat conduction module.
Preferably, the thickness of the component of each stack of graphene/graphite heat conduction module is detected, including:
dividing the graphene/graphite heat conduction module into N detection units uniformly by adopting a slitting device;
numbering each slitting face of the detection unit based on the longitudinal slitting sequence and the transverse slitting sequence;
detecting the thickness of each stacked component on each sectioning plane by a measuring microscope test;
inquiring a preset weight value table based on the number of the sectioning surfaces and the stacking layer number of the component to obtain the weight corresponding to the thickness of each stacked component on each sectioning surface;
and determining the thickness of each stacked component in the graphene/graphite heat conduction module based on the weight corresponding to the thickness of each stacked component on each section and the thickness of each stacked component on each section.
Preferably, numbering each section of the detecting unit based on the sequence of longitudinal slitting and the sequence of transverse slitting comprises:
when the slitting plane is on the longitudinal jth knife and is positioned on the transverse kth knife and the kth-1 knife, the slitting plane is numbered as k-1, k, j, j;
when the cutting plane is positioned on the transverse kth knife and positioned on the transverse jth knife and the jth knife-1, the number of the cutting plane is k, k, j-1, j.
Preferably, detecting the thickness of each stacked component of the graphene/graphite heat conduction module comprises:
equally dividing the graphene/graphite heat conduction module into N detection units;
determining the central position of the detection unit;
detecting the thickness of each stacked component at the central location by an ultrasonic detector;
and determining the thickness of each stacked component of the graphene/graphite heat conduction module based on the thickness of each stacked component measured by the N detection units.
Preferably, the length and the width of the graphene/graphite heat conduction module are obtained; the method comprises the following steps:
shooting a picture on the conveying device after the graphene/graphite heat conduction module is assembled by the camera;
performing edge identification on the picture, and determining the edge of the graphene/graphite heat conduction module;
measuring the length of the edge on the picture;
determining the actual length of the edge based on the measured length of the edge on the picture;
and determining the length or width of the graphene/graphite heat conduction module based on the actual length.
Preferably, the method for detecting the heat conduction performance of the graphene/graphite heat conduction module further comprises:
scanning the graphene/graphite heat conduction module through a three-dimensional ultrasonic scanner to obtain a three-dimensional scanning image;
analyzing the three-dimensional scanning image, and determining the maximum flat surface area and the total volume of the defects in the graphene/graphite heat conduction module;
determining a corrected value of the heat-conducting property parameter from a preset correction table based on the maximum surfacing area and the total volume;
and correcting the heat-conducting property parameter based on the corrected value.
Preferably, the analysis three-dimensional scanning image confirms the biggest plain surface area and the total volume of defect among the graphite heat conduction module, includes:
performing section on the three-dimensional scanning image along the depth direction to obtain a plurality of section images;
respectively extracting first outlines of all defects in all the sectional views, and mapping the first outlines to the same preset substrate layer to form a mapping graph;
and determining the number of pixels of a region enclosed by all the first outlines in the mapping map, and determining the area of the enclosed region as the maximum tiled area based on the relation coefficient of the pixels and the area.
Preferably, analyzing the three-dimensional scanning image, determining the maximum flat surface area and the total volume of the defects in the graphene/graphite heat conduction module, and including:
performing section on the three-dimensional scanning image along the depth direction to obtain a plurality of section images;
respectively extracting first outlines of all defects in all sectional views, determining the number of pixels of a region surrounded by the first outlines, and determining the area of the region surrounded by the first outlines based on a relation coefficient between the pixels and the area;
determining a second contour of the graphene/graphite heat conduction module in each section, determining the number of pixels of a region surrounded by the first contour, and determining the area of the region surrounded by the second contour based on a relation coefficient between the pixels and the area;
determining the proportion of the defects in the sectional view based on the ratio of the area surrounded by the first outline to the area of the area surrounded by the second outline;
and determining the total volume of the defects in the graphene/graphite heat conduction module based on the average value of the proportion of the defects in each section diagram and the volume of the graphene/graphite heat conduction module.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a heat conduction performance detection method applied to a graphene/graphite heat conduction module, which comprises the following steps of:
step S1: acquiring the length and the width of the graphene/graphite heat conduction module;
step S2: when the length and the width meet the preset requirements, obtaining the material of each stacked component of the graphene/graphite heat conduction module;
step S3: detecting the thickness of each stacked component of the graphene/graphite heat conduction module;
step S4: and determining the heat-conducting performance parameters of the graphene/graphite heat-conducting module based on the material and thickness of each stacked component.
The working principle and the beneficial effects of the technical scheme are as follows:
firstly, whether the length and the width of the graphene/graphite heat conduction module meet preset requirements or not is determined, and the preset requirements can be the sizes specified by the process. The detection to the size of graphite alkene/graphite heat conduction module to whether judge graphite alkene/graphite heat conduction module and need carry out the detection of heat conductivility parameter, when the size is not conform, need not to detect. The material can be that a user inputs the material into a detection system in advance, and the heat-conducting performance parameters of the graphene/graphite heat-conducting module can be determined by detecting the thickness of each stacked component of the graphene heat-conducting module; the measurement of the heat-conducting performance parameter is converted into the measurement of the thickness, and a foundation is provided for online detection.
The heat conductivity parameter can be a heat conductivity coefficient and can also be a square heat conductivity factor provided by the application; the square heat conduction factor is established on the graphene/graphite heat conduction module with fixed length and width, namely the heat conduction coefficient can be calculated according to the product of the total thickness and the square heat conduction factor only by knowing the total thickness of the graphene/graphite heat conduction module; the method can be used for quickly measuring the heat conductivity coefficient and can be completely applied to the online measurement of the generation of the graphene/graphite heat conduction module.
In one embodiment, determining the thermal conductivity parameters of the graphene/graphite thermal conduction module based on the material and thickness of the components of each stack comprises:
acquiring a preset material identification table;
determining a preset serial number value corresponding to the material based on the material identification table;
constructing a parameter vector of the graphene/graphite heat conduction module according to the stacking sequence of the components stacked, wherein the parameter vector is A ═ X (X)1,H1,X2,H2,…,Xn,Hn) (ii) a Wherein X1Denotes the number value, H, corresponding to the component located at the lowermost layer1Indicating the thickness of the component located at the lowest layer; x2Denotes the number value, H, corresponding to the component of the layer above the lowermost layer2Indicating the thickness corresponding to the composition of the layer above the bottommost layer; xnDenotes the number value, H, corresponding to the component located at the uppermost layernIndicating the thickness corresponding to the component located at the uppermost layer; the graphene/graphite heat conduction module is formed by stacking n layers of components;
acquiring a preset heat-conducting performance parameter determining library, wherein the judging vectors in the heat-conducting performance parameter determining library correspond to the heat-conducting performance parameters one by one;
calculating the similarity of each judgment vector in the parameter vector and heat conductivity parameter determination library, wherein the similarity calculation formula is as follows:
wherein WP is the similarity; xiIs the number value, h, corresponding to the component in the parameter vector representing the i-th layeriThe thickness of the component positioned in the ith layer is represented in the parameter vector; x is a radical of a fluorine atomiJudging the number of the component corresponding to the component at the ith layer in the corresponding parameter vector in the vector for judging; h isiA thickness judgment value representing the thickness of the component positioned at the ith layer in the corresponding parameter vector in the judgment vector;
and acquiring the heat conduction performance parameters corresponding to the judgment vectors with the maximum similarity of the parameter vectors in the heat conduction performance parameter determination library.
The working principle and the beneficial effects of the technical scheme are as follows:
based on the material and the thickness of each layer of graphite alkene/graphite heat conduction module, confirm the heat conductivity parameter in the storehouse from predetermined heat conductivity parameter, realized the spot test of heat conductivity parameter. The thermal conductivity parameters are based on the thermal conductivity parameters of a plurality of traditional graphene/graphite thermal conductivity modules sampled and detected by a plurality of professional instruments and equipment, and the materials and the thicknesses are recorded and measured at the same time and are formed in a correlated mode. The index of each material in the material identification table includes, but is not limited to, thickness, density, square thermal conductivity factor, thermal conductivity, predetermined coefficient, etc.
In one embodiment, the thermal conductivity parameters include:
the square heat conduction factor, the product of the square heat conduction factor and the preset coefficient divided by the thickness of the graphene/graphite heat conduction module is the heat conduction coefficient of the graphene/graphite heat conduction module.
The working principle and the beneficial effects of the technical scheme are as follows:
the square heat conduction factor is established on the graphene/graphite heat conduction module with fixed length and width, namely the heat conduction coefficient can be calculated according to the product of the total thickness and the square heat conduction factor only by knowing the total thickness of the graphene/graphite heat conduction module; the method can be used for quickly measuring the heat conductivity coefficient and can be completely applied to the online measurement of the production of the graphene/graphite heat conduction module. The square thermal conductivity factor is a factor summarized and classified based on a large amount of detection data, namely a correlation factor between the thickness and the thermal conductivity of the graphene/graphite thermal conductivity module. For example, the predetermined coefficient is 1000.
To achieve accurate determination of the thickness of the components of each stack, in one embodiment, the thickness of the components of each stack of the graphene/graphite thermal conduction module is detected, including:
dividing the graphene/graphite heat conduction module into N detection units uniformly by adopting a slitting device;
numbering each section of the detection unit based on the longitudinal cutting sequence and the transverse cutting sequence;
detecting the thickness of each stacked component on each sectioning plane by a measuring microscope test;
inquiring a preset weight value table based on the serial number of the section and the stacking layer number of the component, and acquiring the weight corresponding to the thickness of each stacked component on each section;
and determining the thickness of each stacked component in the graphene/graphite heat conduction module based on the weight corresponding to the thickness of each stacked component on each section and the thickness of each stacked component on each section.
Preferably, numbering each section of the detecting unit based on the sequence of longitudinal slitting and the sequence of transverse slitting comprises:
when the slitting plane is on the longitudinal jth knife and is positioned on the transverse kth knife and the kth-1 knife, the slitting plane is numbered as k-1, k, j, j;
when the slitting plane is on the transverse kth knife and is positioned on the transverse jth knife and the j-1 th knife, the slitting plane is numbered as k, k, j-1, j.
To achieve accurate determination of the thickness of the components of each stack, in one embodiment, the thickness of the components of each stack of the graphene/graphite thermal conduction module is detected, including:
equally dividing the graphene/graphite heat conduction module into N detection units;
determining the central position of the detection unit;
detecting the thickness of each stacked component at the central location by an ultrasonic detector;
and determining the thickness of each stacked component of the graphene/graphite heat conduction module based on the thickness of each stacked component measured by the N detection units.
In one embodiment, the length and width of the graphene/graphite heat conduction module are obtained; the method comprises the following steps:
shooting a picture of the assembled graphene/graphite heat conduction module on a conveying device through a camera;
performing edge identification on the picture, and determining the edge of the graphene/graphite heat conduction module;
measuring the length of the edge on the picture;
determining the actual length of the edge based on the measured length of the edge on the picture;
based on the actual length, the length or width of the graphene/graphite heat conduction module is determined.
The working principle and the beneficial effects of the technical scheme are as follows:
in order to realize the online monitoring of the thermal conductivity, the length and the width of the graphene/graphite thermal conduction module are firstly monitored online, so that the length and the width of the graphene/graphite thermal conduction module are detected online by adopting an image recognition technology, and the length and the width are quickly and accurately detected.
In one embodiment, the method for detecting the thermal conductivity of the graphene/graphite thermal conduction module further includes:
scanning the graphene/graphite heat conduction module through a three-dimensional ultrasonic scanner to obtain a three-dimensional scanning image;
analyzing the three-dimensional scanning image, and determining the maximum flat surface area and the total volume of the defects in the graphene/graphite heat conduction module;
determining a corrected value of the heat-conducting property parameter from a preset correction table based on the maximum surfacing area and the total volume;
and correcting the heat-conducting property parameter based on the corrected value.
Preferably, analyzing the three-dimensional scanning image, determining the maximum flat surface area and the total volume of the defects in the graphene/graphite heat conduction module, and including:
performing section on the three-dimensional scanning image along the depth direction to obtain a plurality of section images;
respectively extracting the first outlines of the defects in the cross-sectional views, and mapping the first outlines onto the same preset substrate layer to form a mapping graph;
and determining the number of pixels of a region enclosed by all the first outlines in the mapping map, and determining the area of the enclosed region as the maximum tiled area based on the relation coefficient of the pixels and the area.
Preferably, the analysis three-dimensional scanning image confirms the biggest plain surface area and the total volume of defect among the graphite heat conduction module, includes:
performing section on the three-dimensional scanning image along the depth direction to obtain a plurality of section images;
respectively extracting first outlines of all defects in all the sectional views, determining the number of pixels of a region surrounded by the first outlines, and determining the area of the region surrounded by the first outlines based on a relation coefficient of the pixels and the area;
determining a second contour of the graphene/graphite heat conduction module in each section, determining the number of pixels of a region surrounded by the first contour, and determining the area of the region surrounded by the second contour based on a relation coefficient between the pixels and the area;
determining the proportion of the defects in the sectional view based on the ratio of the area surrounded by the first outline to the area of the area surrounded by the second outline;
and determining the total volume of the defects in the graphene/graphite heat conduction module based on the average value of the proportion of the defects in each section diagram and the volume of the graphene/graphite heat conduction module.
The working principle and the beneficial effects of the technical scheme are as follows:
various defects inevitably exist in the production process of the graphene/graphite heat conduction module, main defects comprise micro bubbles, micro folds and the like mixed in when the components are stacked, the defects are evaluated in an ultrasonic scanning mode, heat conduction performance parameters are corrected through evaluation, the accuracy of measurement of the heat conduction performance parameters is improved, and ultrasonic scanning equipment can be erected on a production line to realize online detection. Wherein, the correction values in the preset correction table are in one-to-one correspondence with the maximum surfacing area and the total volume. For example: determining the heat conductivity coefficient of the heat conductivity parameter of the graphene/graphite heat conduction module to be 1511W/K.m based on the material and the thickness of each stacked component; but the maximum tile area was measured to be 1.6 x 10-10m2(ii) a The total volume is 1.6X 10-15m3(ii) a Checking a correction value to be-5W/K.m according to the correction table; the resulting thermal conductivity should be 1506W/K.m.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.