CN111538880A - Intelligent analysis and retrieval system for tenon structural design - Google Patents
Intelligent analysis and retrieval system for tenon structural design Download PDFInfo
- Publication number
- CN111538880A CN111538880A CN202010349560.3A CN202010349560A CN111538880A CN 111538880 A CN111538880 A CN 111538880A CN 202010349560 A CN202010349560 A CN 202010349560A CN 111538880 A CN111538880 A CN 111538880A
- Authority
- CN
- China
- Prior art keywords
- tenon
- tenon structure
- joint
- database
- analysis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Dovetailed Work, And Nailing Machines And Stapling Machines For Wood (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent analysis retrieval system for tenon structure design, which comprises an analysis system, a database, an evaluation model and a search engine, wherein the analysis system is used for decomposing and quantizing each tenon structure to obtain the data characteristics of the tenon structure, storing the data characteristics of each tenon structure in the database, communicating and connecting the evaluation model with the database, inputting retrieval conditions in the search engine, setting the priority of the input retrieval conditions by the evaluation model, screening out the tenon structures meeting the retrieval conditions according to the priority order by the database, performing secondary comprehensive scoring on each tenon structure by the evaluation model, and sequentially arranging the tenon structures from high to low after comprehensive scoring; according to the scheme, a set of complete classification standard and a complete quantification model are established, various tenon structure designs are classified, quantification is carried out according to tenon structure composition elements, an optimal scheme is given according to screening conditions of users, and the user design period is shortened.
Description
Technical Field
The invention relates to the technical field of tenon structure design, in particular to an intelligent analysis and retrieval system for tenon structure design.
Background
The design of the tenon structure is a key element of the design of the solid wood furniture, which not only relates to the beauty, but also determines the firmness and the stability of the furniture most importantly. The tenon structure has evolved into thousands of postures from ancient times to present, and along with the progress of modern technology, the design of the tenon structure is more unique.
At present, no uniform classification standard and quantification model exist, and the tenon structure cannot be screened conditionally, so that how to quickly search the tenon structure design scheme meeting the requirements of the user in furniture design becomes an urgent need.
SUMMARY OF THE PATENT FOR INVENTION
Therefore, the invention provides an intelligent analysis and retrieval system for tenon structure design, which aims to solve the problem that the tenon structure cannot be conditionally screened because no uniform classification standard and quantization model exists in the prior art.
In order to achieve the above object, an embodiment of the present invention provides the following:
an intelligent analysis and retrieval system for tenon structure design comprises an analysis system, a database, an evaluation model and a search engine, wherein the analysis system is used for decomposing and quantizing each tenon structure to obtain the data characteristics of the tenon structure and storing the data characteristics of each tenon structure in the database, the evaluation model is in communication connection with the database, retrieval conditions are input in the search engine, the evaluation model sets the priority of the input retrieval conditions, the database screens out the tenon structures meeting the retrieval conditions according to the priority order, the evaluation model carries out secondary comprehensive scoring on each tenon structure, and the tenon structures are sequentially arranged from high to low after the comprehensive scoring.
As a preferred embodiment of the present invention, the analysis system includes:
the tenon structure classification module classifies according to the combination mode of the tenon structures;
the stress analysis module judges the stress magnitude according to the position of the tenon structure;
the strength analysis module defines the strength value according to the physical properties of the materials of the tenon structure and the material bonding strength of different tenon structures; intensity analysis module
And the process difficulty analysis module is used for defining process difficulty assignment according to the complexity of the tenon structure and the process requirement.
As a preferred technical solution of the present invention, the tenon structure classification module divides the combination manner of the tenon structure into four forms, i.e., right-angle tenon combination, dovetail tenon combination, circular tenon combination, and comb tenon combination.
As a preferred technical solution of the present invention, the stress analysis module divides the distribution of the joint portions of each joint manner of the tenon structure into corner joint, surface joint, and line joint according to the difference in the distribution of the joint portions of the joint manners of the tenon structure, calculates the stress level of the entire tenon structure according to the distribution of the joint portions of each joint manner of the tenon structure, and assigns values to the stress levels of different tenon structures.
As a preferred technical solution of the present invention, the strength analysis module assigns values to bonding strengths of different tenon structures, where the right-angle tenon bonding strength is related to a tenon thickness parameter, a tenon width parameter, and a tenon length parameter of the dovetail bonding strength, where the dovetail bonding strength is greater than the right-angle tenon bonding strength on the premise of the same number of tenons, and the right-angle tenon bonding strength and the dovetail bonding strength can be obtained by calculating the number of tenons of the right-angle tenon and the dovetail corresponding to the same section size of a part, and the circular tenon bonding strength is related to the type of glue applied when the circular tenon is bonded, and the calculation formula of the circular tenon bonding strength is:
the total bonding strength Pn · n · P ═ n · (C · F · λ) · { C · (pi · d · L) · λ };
wherein P: single round tenon combining force; f: excluding the surface area of the two ends of the round tenon;
n: the number of round tenons; c: bonding strength of different glues to the round tenon unit area; d: the diameter of the round tenon; l: the length of the round tenon; λ: the influence coefficient.
As a preferred technical solution of the present invention, the analysis system further includes an aesthetic degree analysis module, the aesthetic degree analysis module selects a tenon joint type according to a position and a joint strength requirement of the tenon structure, wherein the mortise joint of each tenon structure has a higher aesthetic property than the mortise joint of the mortise structure, and the aesthetic degree analysis module assigns values to different tenon joint modes.
As a preferred technical scheme, the processing process difficulty of the comb tooth tenon, the dovetail tenon, the right-angle tenon and the round tenon is reduced in sequence, and the process difficulty analysis module is used for assigning the process difficulty of the comb tooth tenon, the dovetail tenon, the right-angle tenon and the round tenon.
As a preferred technical solution of the present invention, the search conditions of the search engine include, but are not limited to, the data ranges of the joint portion, the stress size, the strength requirement, the aesthetic property, and the process difficulty quantization of the tenon structure, and the user can also input the section size of the part in the search engine, so the database calculates the number of tenons according to the input section size, first screens out the tenon structure type range according to the joint portion (angle joint, line joint, and surface joint) manner, and then further screens for multiple times according to the strength requirement, the stress size requirement, the aesthetic property condition, and the process difficulty quantization in order to reduce the tenon structure type range.
As a preferred technical solution of the present invention, the evaluation model includes a priority setting unit disposed in the search engine, and a numerical weighting unit configured to set different scoring standards for different priority levels, the database first screens data features of different tenon structures according to the search conditions of the search engine, the database adjusts a primary screening order of the data features of the tenon structures according to the priority order setting of the search conditions by the priority setting unit, and the numerical weighting unit performs secondary scoring on the tenon structures that are screened at the primary screening, and performs secondary arrangement according to a manner that the scoring is from high to low for the user to select.
As a preferred technical scheme of the invention, after the user selects the tenon structure after the secondary arrangement, the related technical parameters and the processing technological requirements of the design of the tenon structure are automatically generated.
The embodiments of the invention have the following advantages:
(1) the invention establishes a set of perfect classification standard and quantification model, classifies various tenon structure designs, quantifies the tenon structure according to the tenon structure component element direction, the structure type, the material, the stress area and the like, provides an optimal scheme aiming at the screening condition of the user and shortens the user design period.
(2) The invention adopts a relational database modeling technology to divide data into a basic data layer and an application layer, and a hierarchical database storage structure, thereby overcoming the defects of a data hierarchy module and realizing flexible application of the data.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
FIG. 1 is a block diagram of an analysis and retrieval system according to a patented embodiment of the present invention;
FIG. 2 is a schematic view of the corner bonds in the bond site of an embodiment of the present invention;
FIG. 3 is a schematic view of the wire bonds in the bond site of an embodiment of the present invention;
FIG. 4 is a schematic view of a face bond in a bond site according to an embodiment of the present invention;
FIG. 5 is a reference diagram of the technical parameters of the right-angle tenon according to the present invention;
FIG. 6 is a parametric reference diagram for designing a dovetail according to one embodiment of the present invention;
FIG. 7 is a reference diagram of the design of a round tenon according to an embodiment of the present invention;
FIG. 8 is a reference diagram of the technological parameters for designing comb teeth tenon according to the patented embodiment of the present invention;
in the figure:
1-an analytical system; 2-a database; 3-evaluation model; 4-a search engine;
101-tenon structure classification module; 102-a force analysis module; 103-an intensity analysis module; 104-process difficulty analysis module; 105-an aesthetic analysis module;
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and it is to be understood that the present invention is not limited to the specific embodiments disclosed, but is capable of other modifications and variations within the spirit and scope of the appended claims. All other embodiments, which can be derived by a person skilled in the art from the embodiments given in the present patent application without inventive step, shall fall within the scope of protection of the present invention.
As shown in FIG. 1, the present invention provides an intelligent analysis and retrieval system for tenon structure design, which comprises an analysis system 1, a database 2, an evaluation model 3 and a search engine 4.
The analytical retrieval system is designed by adopting an MVC framework core technology Struts based on a Sunj2ee development platform, is simple, easy to use, quick and rapid, and greatly saves the system development time.
The analysis system 1 is configured to perform decomposition and quantization processing on each tenon structure to obtain data characteristics of the tenon structure, store the data characteristics of each tenon structure in the database 2, communicate the evaluation model 3 with the database 2, input a search condition in the search engine 4, set a priority for the input search condition by the evaluation model 3, screen out tenon structures meeting the search condition according to a priority order by the database 2, perform secondary comprehensive scoring on each tenon structure by the evaluation model 3, and sequentially arrange the tenon structures from high to low after the comprehensive scoring.
That is, the database 2 stores the data characteristics of all tenon structures in advance, the user inputs the information and search conditions of the current component in the analysis and search system of the present embodiment, and the system searches and searches the corresponding tenon structure from the database 2 for the user to select.
The analysis system 1 comprises a tenon structure classification module 101, a stress analysis module 102, a strength analysis module 103, a process difficulty analysis module 104 and an aesthetic degree analysis module 105.
Wherein intensity analysis module 103 carries out in assigning value to the joint strength of different tenon structures right angle tenon joint strength and dovetail tenon joint strength tenon thickness parameter, tenon width parameter and tenon length parameter are relevant, wherein, under the prerequisite of same tenon quantity, dovetail tenon joint strength is greater than right angle tenon joint strength, through the tenon quantity of the right angle tenon that the same cross sectional dimension size of calculating part corresponds and dovetail, can obtain corresponding right angle tenon joint strength and dovetail tenon joint strength, and the glueing kind when round tenon joint strength and round tenon joint are relevant.
As shown in fig. 5 to 8, the round tenon is combined to ensure the bonding strength, the round tenon has higher strength under the condition of glue application, and ensures the bonding strength, and the tenon and the mortise of the right-angle tenon and the dovetail also have to meet certain dimension requirements, the tenon dimension includes thickness, width, length, etc., therefore, after the section dimension of the part input by the user in the search engine 4 is obtained, the number of the tenons is deduced by the computing system of the database 2, and the dovetail bonding strength is greater than the right-angle tenon bonding strength under the condition of the same number of the tenons.
It should be added that the diameter of the round tenon is 2/5-1/2 of the thickness of the jointed workpiece, the length of the round tenon is 3-4 times of the diameter, the bonding strength of the round tenon can be directly calculated, therefore, on the premise of the default section size, the bonding strength of the right-angle tenon and the round tenon is compared in a big queue, the assignment of the dovetail tenon bonding strength and the right-angle tenon bonding strength can be realized, and the calculation formula of the round tenon bonding strength is as follows:
the total bonding strength Pn · n · P ═ n · (C · F · λ) · { C · (pi · d · L) · λ };
wherein P: single round tenon combining force; f: excluding the surface area of the two ends of the round tenon;
n: the number of round tenons;
c: the bonding strength of different glues to the round tenon unit area is related to glue seeds, such as milky glue, C is 3N/mm 2; e.g., with urea-formaldehyde glue, C5N/mm 2;
d: the diameter of the round tenon;
l: the length of the round tenon;
λ: the influence coefficient is generally 0.6.
The criteria for the right angle and dovetail to infer the number of tenons from the cross-sectional dimensions of the part entered by the user in the search engine 4 are: the setting requirements for the thickness of the tenon are generally determined by the requirements for joining the cross-sectional dimensions of the tenoning elements. The thickness of the single tenon is about 0.4-0.5 times of the thickness or width of the part;
when the size of the cross section of the part is larger than 40mm multiplied by 40mm, the double tenons are adopted, so that the joint strength can be increased, the part can be prevented from being twisted, the total thickness of the double tenons is about 0.4-0.5 time of the thickness or width of the part, and the thickness of the tenons is commonly used in various specifications such as 6 mm, 8 mm, 9.5 mm, 12 mm, 13 mm and 15 mm.
The width of the tenon should be as large as possible to ensure strength, and generally should be the same as the width or thickness of the part. However, when the width of the tenon is larger than or equal to 40mm, the tensile strength cannot be obviously improved by increasing the width of the tenon, so the tenon can be sawn from the middle of the tenon and divided into a left tenon and a right tenon so as to increase the joint area and improve the connection strength.
According to practical experience of relevant production units, when the length of the tenon is between 15mm and 35mm, the tensile strength and the shear strength are increased along with the increase of the size.
Therefore, the maximum combination strength of the round tenons and the right-angle tenon assignment and the dovetail strength assignment under the tenon quantity at the moment are compared, and the database 2 can conveniently select the corresponding round tenon combination, right-angle tenon combination or dovetail combination mode.
As shown in fig. 2 to 4, the tenon structure classification module 101 classifies tenon structures according to the combination of the tenon structures, the combination of the existing tenon structures is divided into four modes of right-angle tenon combination, dovetail tenon combination, round tenon combination and comb tenon combination, and each combination of the tenon structures can be further refined and classified, for example, the right-angle tenon can divide the tenon number into single tenon, double tenon and multiple tenon according to the size of the part, the round tenon in practical use mostly uses the connection mode of double tenon or multiple tenons, the dovetail tenon can be divided into single dovetail, single horse tooth tenon and multiple tenons according to the size of the part, and the right-angle tenon, the dovetail tenon and the round tenon can be further divided into various tenon structure classification methods such as explicit tenon and implicit tenon according to the aesthetic degree classification.
The stress analysis module 102 judges the stress of each tenon structure according to the position of the tenon structure, so that the stress analysis module 102 divides the distribution of the combining parts of each tenon structure into corner combining, surface combining and line combining according to the different distribution of the combining parts of the tenon structures, and calculates the stress of the whole tenon structure according to the distribution of the combining parts of each tenon structure in different combining modes.
The comb tenon combination can only connect two parts according to a line combination mode, the dovetail tenon combination and the round tenon combination connect the two parts according to an angle combination mode and a surface combination mode, and the right-angle tenon combination can connect the two parts according to three modes of angle combination, line combination and surface combination.
The maximum stress range which can be borne by the corresponding tenon structure is calculated according to the connection mode of each tenon structure, the influence of different materials in the strength analysis module 103 is eliminated, the stress is calculated only according to the tenon structure, a relative value is given to the stress of the connection mode of each tenon structure, and the larger the stress of each tenon structure is, the higher the corresponding stress assignment is.
Combining the tenon structure classification module 101 with the stress analysis module 102, the storage mode of the divided tenon structures in the database 2 and the stress size definition mode of each tenon structure are as follows:
firstly, dividing the combination modes into three categories according to corner combination, surface combination and line combination;
calculating the tenon number of the round tenon, the right-angle tenon and the dovetail tenon, and the corresponding round tenon combination maximum strength assignment, the right-angle tenon combination maximum strength assignment and the dovetail tenon combination maximum strength assignment according to the preset default part section size data;
and finally, dividing the number of the tenons of each type of tenon structure into a single tenon, a double tenon and a multi-tenon according to the size range of the section of the part, and assigning the stress of each number of tenons of each type of tenon structure.
Wherein, the section size of acquiescence part is positive correlation with the tenon quantity of circle tenon, right angle tenon and forked tail, consequently after the user inputs part section size scope in search engine 4, database 2 calculates the tenon quantity of different tenon structures according to the intensity demand of tenon structure automatically, combines the biggest atress scope that is used for intensity demand and needs to bear to the tenon structure, can select corresponding tenon structure.
The process difficulty analysis module 104 defines a process difficulty value according to the complexity of the tenon structure and the process requirement, taking a round tenon processing process as an example: the round tenon is used to replace the integral square tenon, so that the wood can be saved, the production process is simplified, the labor productivity is improved, and the round tenon can obtain higher joint strength after being jointed by adding glue, so that the round tenon has higher superiority and is suitable for mass production.
Therefore, according to the classification of the tenon structures, the processing process difficulty of the comb tooth tenon, the dovetail tenon, the right-angle tenon and the round tenon is reduced in sequence, and the four major tenon structures can be used as the user screening standard by directly performing process difficulty assignment.
The aesthetic degree analysis module 105 selects a tenon combination type according to the position and the combination strength requirement of the tenon structure, wherein the mortise and tenon combination of each tenon structure has higher aesthetic property than the exposed tenon combination, and the aesthetic property is irrelevant to the classification of the tenon structure and is only relevant to the mortise and tenon combination, so that the aesthetic degrees of the mortise and exposed tenon combination can be distinguished by respectively assigning the same standard values for the mortise and exposed tenon of each tenon structure.
According to the above records, the tenon structure stored in the database has five data features, which are a tenon structure classification mode, a stress analysis mode, a strength analysis mode, a process difficulty analysis mode and an aesthetic degree analysis mode, and the maximum stress, the bonding strength, the process manufacturing difficulty and the aesthetic degree of each tenon structure are subjected to quantization processing.
Therefore, after the user inputs the search condition in the search engine 4, the database 2 screens out the tenon structure class meeting the condition, that is, the embodiment divides the data into a basic data layer and an application layer, and a hierarchical database storage structure, thereby overcoming the defects of a data hierarchy module and realizing the flexible application of the data.
The search conditions of the search engine 4 include, but are not limited to, the data range of the joint portion of the tenon structure, the stress size, the strength requirement, the aesthetic property and the process difficulty quantification, and the section size of the part can be input into the search engine 4, so that the database 2 can calculate the number of the tenons according to the section size, then screen out the tenon structure type range according to the joint portion angle combination, line combination and surface combination modes, then screen out the reduced tenon structure type range again according to the strength requirement, then screen out the reduced tenon structure type range again according to the stress size requirement, and finally further reduce the tenon structure type range through the aesthetic property and the process difficulty quantification, that is to say, the tenon structure type meeting the conditions can be screened out through the program for multiple times in the embodiment.
The embodiment introduces a search engine management idea, adopts a modular design, and improves the portability and the universality of the system.
The evaluation model 3 includes a priority setting unit 301 for setting search conditions in the search engine 4, and a numerical weighting unit 302 for setting different scoring criteria for different priority levels, the database 2 first filters data features of different tenon structures according to the search conditions of the search engine 4, the database 2 adjusts a primary filtering order for the data features of the tenon structures according to the priority order setting of the search conditions by the priority setting unit 301, and the numerical weighting unit 302 performs secondary scoring on the primary filtered tenon structures and performs secondary arrangement for the user to select according to the manner that the scoring is from high to low.
And after the user selects the tenon structure after secondary arrangement, automatically generating relevant technical parameters and processing technological requirements of the tenon structure design.
The priority setting unit 301 sets the search conditions in priority, so that the database 2 sequentially performs multiple screening according to the order of priority, and performs weighted differentiation on different priority levels, thereby performing secondary scoring on the quantized tenon structure data features, and arranging the tenon structure data features according to the secondary scoring from high to low for the user to select.
Therefore, the analysis model of the embodiment comprehensively applies the specialties such as material research, furniture design and the like, establishes a set of complete classification standard and quantification model, reasonably decomposes and quantifies the tenon structure, provides professional comprehensive performance evaluation, and provides an optimal scheme aiming at the screening conditions of the user. Therefore, the embodiment adopts a relational database modeling technology to divide data into a basic data layer and an application layer and a hierarchical database storage structure, overcomes the defects of a data hierarchy module and realizes flexible application of the data.
Although the invention has been described in detail hereinabove with reference to specific embodiments thereof, it will be apparent to one skilled in the art that modifications and improvements can be made thereto based on the invention. Therefore, such modifications and improvements can be made without departing from the spirit of the present invention and fall within the scope of the claims of the present invention.
Claims (10)
1. An intelligent analysis and retrieval system for tenon structure design is characterized by comprising an analysis system (1), a database (2), an evaluation model (3) and a search engine (4), the analysis system (1) is used for decomposing and quantizing each tenon structure to obtain the data characteristics of the tenon structure, and storing the data characteristic of each tenon structure in the database (2), wherein the evaluation model (3) is connected with the database (2) in a communication way, -inputting retrieval conditions in the search engine (4), the evaluation model (3) prioritizing the input retrieval conditions, and the database (2) screens out tenon structures meeting the retrieval conditions according to the priority order, and the evaluation model (3) carries out secondary comprehensive scoring on each tenon structure, and the tenon structures are sequentially arranged from high to low after comprehensive scoring.
2. An intelligent analysis and retrieval system for tenon structural design according to claim 1, wherein the analysis system (1) comprises:
the tenon structure classification module (101) classifies according to the combination mode of the tenon structures;
the stress analysis module (102) judges the stress magnitude according to the position of the tenon structure;
the strength analysis module (103) defines the strength value according to the physical properties of the materials of the tenon structures and the material bonding strength of different tenon structures; an intensity analysis module;
and the process difficulty analysis module (104) defines a process difficulty assignment according to the complexity of the tenon structure and the process requirement.
3. The intelligent analysis and retrieval system for tenon structure design according to claim 2, wherein the tenon structure classification module (101) classifies the combination mode of the tenon structure into four modes of right-angle tenon combination, dovetail tenon combination, round tenon combination and comb tenon combination.
4. The intelligent analysis and retrieval system for tenon structure design according to claim 2, wherein the stress analysis module (102) divides the distribution of the joint positions of each tenon structure into corner joint, surface joint and line joint according to the different distribution of the joint positions of the tenon structure, calculates the stress magnitude of the whole tenon structure according to the distribution of the joint positions of each tenon structure with different joint modes, and assigns values to the stress magnitudes of different tenon structures by the stress analysis module (102).
5. The intelligent analysis and retrieval system for tenon structure design according to claim 2, wherein the strength analysis module (103) assigns values to the bonding strengths of different tenon structures, the right angle tenon bonding strength is related to the tenon thickness parameter, the tenon width parameter and the tenon length parameter of the tenon bonding strength, wherein on the premise of the same tenon number, the tenon bonding strength is greater than the right angle tenon bonding strength, the right angle tenon bonding strength and the tenon bonding strength can be obtained by calculating the tenon number of the right angle tenon and the tenon of the corresponding dovetail with the same section size of the part, and the circular tenon bonding strength is related to the glue applying type when the circular tenon is bonded, and the calculation formula of the circular tenon bonding strength is as follows:
the total bonding strength Pn · n · P ═ n · (C · F · λ) · { C · (pi · d · L) · λ };
wherein P: single round tenon combining force; f: excluding the surface area of the two ends of the round tenon;
n: the number of round tenons; c: bonding strength of different glues to the round tenon unit area; d: the diameter of the round tenon; l: the length of the round tenon; λ: the influence coefficient.
6. The intelligent analysis and retrieval system for tenon structure design according to claim 2, wherein the analysis system (1) further comprises an aesthetic degree analysis module (105), the aesthetic degree analysis module (105) selects tenon joint types according to the position and joint strength requirements of the tenon structures, the tenon joint of each tenon structure has higher aesthetic property than the mortise joint of the obvious tenon, and the aesthetic degree analysis module (105) assigns values to different tenon joint modes.
7. The intelligent analysis and retrieval system for tenon structure design according to claim 6, wherein the processing process difficulty of the comb tooth tenon, the dovetail tenon, the right angle tenon and the round tenon is reduced in sequence, and the process difficulty analysis module (104) is used for assigning the process difficulty of the comb tooth tenon, the dovetail tenon, the right angle tenon and the round tenon.
8. The intelligent analysis and retrieval system for tenon structure design according to claim 7, wherein the search conditions of the search engine (4) include, but are not limited to, the data ranges of the joint portion, the stress size, the strength requirement, the aesthetic property and the process difficulty quantization of the tenon structure, and the user can also input the section size of the part in the search engine (4), so that the database (3) calculates the number of tenons according to the input section size, screens out the tenon structure type range according to the joint portion (angle joint, line joint and surface joint) mode, and then screens out the tenon structure type range further for multiple times according to the strength requirement, the stress size requirement, the aesthetic property condition and the process difficulty quantization in sequence to reduce the tenon structure type range.
9. The intelligent analysis and retrieval system for tenon structure design according to claim 1, wherein the evaluation model (3) comprises a priority setting unit (301) arranged in a search engine, and a numerical weighting unit (302) for setting different scoring criteria for different priority levels, the database (2) first screens the data features of different tenon structures at a time according to the search conditions of the search engine (4), the database (2) adjusts the primary screening order of the data features of the tenon structures according to the priority order setting of the search conditions by the priority setting unit (301), and the numerical weighting unit (302) carries out secondary scoring on the primary screened tenon structures and carries out secondary ranking for the user to select according to the way that the scoring is from high to low.
10. The intelligent analysis and retrieval system for tenon structure design according to claim 9, wherein the relevant technical parameters and processing requirements of the design of the tenon structure are automatically generated after the user selects the tenon structure after the secondary arrangement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010349560.3A CN111538880B (en) | 2020-04-28 | 2020-04-28 | Intelligent analysis and retrieval system for tenon structural design |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010349560.3A CN111538880B (en) | 2020-04-28 | 2020-04-28 | Intelligent analysis and retrieval system for tenon structural design |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111538880A true CN111538880A (en) | 2020-08-14 |
| CN111538880B CN111538880B (en) | 2022-08-05 |
Family
ID=71977271
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010349560.3A Active CN111538880B (en) | 2020-04-28 | 2020-04-28 | Intelligent analysis and retrieval system for tenon structural design |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111538880B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113569310A (en) * | 2021-09-26 | 2021-10-29 | 南京维拓科技股份有限公司 | Intelligent design method for industrial product model |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09265490A (en) * | 1996-03-29 | 1997-10-07 | Nec Corp | Component retrieval system |
| JPH11184861A (en) * | 1997-12-18 | 1999-07-09 | Hitachi Ltd | Similar parts retrieval method/device |
| TW200723146A (en) * | 2005-09-06 | 2007-06-16 | Uchida Yoko Kk | Space providing system and information display system |
| CN102207969A (en) * | 2011-06-12 | 2011-10-05 | 杭州电子科技大学 | Method for searching revolved body component process |
| CN103958796A (en) * | 2011-11-02 | 2014-07-30 | 马来西亚普渡大学 | A method and system for providing and managing information of prefabricated construction components between manufacturers and architects |
| US20140324904A1 (en) * | 2011-11-29 | 2014-10-30 | Hitachi, Ltd. | Similar design structure search device and similar design structure search method |
| US20150186457A1 (en) * | 2012-06-05 | 2015-07-02 | Hitachi, Ltd. | Similar assembly-model structure search system and similar assembly-model structure search method |
| CN105570254A (en) * | 2016-02-23 | 2016-05-11 | 北京数码大方科技股份有限公司 | Tenon and mortise joint structure configuration method and device |
| WO2016106485A1 (en) * | 2014-12-29 | 2016-07-07 | 颜邑丞 | On-line furniture design system |
| CN106372226A (en) * | 2016-09-07 | 2017-02-01 | 知识产权出版社有限责任公司 | Information retrieval device and method |
| CN107668966A (en) * | 2017-10-30 | 2018-02-09 | 高子茜 | A kind of space can type recombined intelligent bookshelf and operating method |
| CN109697519A (en) * | 2019-02-26 | 2019-04-30 | 成都仟艺家居用品有限公司 | A kind of implementation method for quick visualization design of having furniture made to order |
-
2020
- 2020-04-28 CN CN202010349560.3A patent/CN111538880B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09265490A (en) * | 1996-03-29 | 1997-10-07 | Nec Corp | Component retrieval system |
| JPH11184861A (en) * | 1997-12-18 | 1999-07-09 | Hitachi Ltd | Similar parts retrieval method/device |
| TW200723146A (en) * | 2005-09-06 | 2007-06-16 | Uchida Yoko Kk | Space providing system and information display system |
| CN102207969A (en) * | 2011-06-12 | 2011-10-05 | 杭州电子科技大学 | Method for searching revolved body component process |
| CN103958796A (en) * | 2011-11-02 | 2014-07-30 | 马来西亚普渡大学 | A method and system for providing and managing information of prefabricated construction components between manufacturers and architects |
| US20140324904A1 (en) * | 2011-11-29 | 2014-10-30 | Hitachi, Ltd. | Similar design structure search device and similar design structure search method |
| US20150186457A1 (en) * | 2012-06-05 | 2015-07-02 | Hitachi, Ltd. | Similar assembly-model structure search system and similar assembly-model structure search method |
| WO2016106485A1 (en) * | 2014-12-29 | 2016-07-07 | 颜邑丞 | On-line furniture design system |
| CN105570254A (en) * | 2016-02-23 | 2016-05-11 | 北京数码大方科技股份有限公司 | Tenon and mortise joint structure configuration method and device |
| CN106372226A (en) * | 2016-09-07 | 2017-02-01 | 知识产权出版社有限责任公司 | Information retrieval device and method |
| CN107668966A (en) * | 2017-10-30 | 2018-02-09 | 高子茜 | A kind of space can type recombined intelligent bookshelf and operating method |
| CN109697519A (en) * | 2019-02-26 | 2019-04-30 | 成都仟艺家居用品有限公司 | A kind of implementation method for quick visualization design of having furniture made to order |
Non-Patent Citations (6)
| Title |
|---|
| 刘可洋: "基于CREO参数化建模建立明式家具零件库", 《北京林业大学学报(社会科学版)》 * |
| 康海飞等: "《家具设计资料集》", 31 August 2016 * |
| 张仲凤: "《家具结构技术》", 31 March 2020, 机械工业出版社 * |
| 杨静等: "明式家具榫卯结构的参数化设计***构建与应用", 《西北林学院学报》 * |
| 郑欣淼等: "《中国紫禁城学会论文集 第7辑 Y》", 30 September 2012, 故宫出版社 * |
| 陈于书: "红木家具零件的参数化设计研究", 《木材加工机械 》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113569310A (en) * | 2021-09-26 | 2021-10-29 | 南京维拓科技股份有限公司 | Intelligent design method for industrial product model |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111538880B (en) | 2022-08-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| LeCompte et al. | Compressed supersymmetry after 1 fb-1 at the Large Hadron Collider | |
| CN106339779B (en) | Distributed power supply configuration scheme evaluation method in power distribution network | |
| CN111191906A (en) | Systematic implementation benefit evaluation method for technical standards of large and medium-sized enterprises | |
| CN111538880B (en) | Intelligent analysis and retrieval system for tenon structural design | |
| CN101714182A (en) | Integration method of collaborating assembly design, process planning and simulation verification of complicated product | |
| CN101980266A (en) | Employee post capability quality assessment system and assessment method thereof | |
| CN112329082B (en) | Intelligent modeling module of intelligent optimization design system of steel frame structure | |
| CN112287447B (en) | Intelligent optimization system and method for steel structure frame structure | |
| US7627850B2 (en) | System, method, and software for relation-based product development | |
| Patnaik et al. | Ranking of fiber reinforced composite materials using PSI and PROMETHEE method | |
| CN101877114A (en) | System for comprehensively evaluating non-entity space design aiming at landscape | |
| CN109753525A (en) | It is a kind of based on enterprise query system that can be properties and its implementation | |
| Moghaddam et al. | A new approach for optimum design of structures under dynamic exciation | |
| CN102120271A (en) | Multi-structure layer design method for high-speed milling tool | |
| CN114723277A (en) | Method, apparatus, device, medium, and program product for performance evaluation | |
| CN110956360A (en) | Object-oriented ship body subsection workshop plan scheduling release method and system | |
| Rezaie et al. | Evaluating the business intelligence systems performance criteria using group fuzzy AHP approach | |
| Yu et al. | Supplier evaluation analysis based on AHP-entropy-TOPSIS method | |
| CN115713432A (en) | Production element-oriented service recommendation method in industrial Internet environment | |
| CN114219269A (en) | Quality evaluation method and whole-process and whole-service quality evaluation method based on same | |
| CN107977488B (en) | Static strength checking method and device | |
| Aygün | Comparative performance appraisal by multiple criteria for design alternatives | |
| CN108595724A (en) | Composite material revolving meber design method | |
| CN103761378B (en) | A kind of missile cabin radial connection structure lightweight design system | |
| Tan et al. | BIM-enabled Sustainability Assessment of Design for Manufacture and Assembly |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |