Tool magazine design method integrating extension and public design

Abstract

The invention discloses a tool magazine design method fusing extension and public design. The tool magazine design method comprises the steps that S1, a tool magazine system demand feature primitive model is constructed; s2, obtaining a tool magazine design structure coupling matrix according to the tool magazine system demand feature primitive model; s3, solving the tool magazine design structure coupling matrix based on an extension strategy to obtain a plurality of tool magazine design schemes; and S4, screening the scheme with the minimum information amount in the plurality of tool magazine design schemes as the most reasonable design scheme. By the adoption of the technical scheme, the problems that in tool magazine system design, the design period is long, and the effect is poor are solved.

Description

Technical Field

[0001] The invention belongs to the technical field of tool magazine processing, and in particular relates to a tool magazine design method integrating extenics and axiomatic design. Background Art

[0002] The tool magazine system is one of the key components of the machining center. As a complex device integrating mechanics, electronics, and control, the tool magazine system's main function is to store and switch tools to reduce non-cutting time during machining and improve work efficiency. As a key component, the design optimization of the tool magazine system directly affects the efficiency and cost of the entire machining process. The existing design optimization methods rely too much on the designer's personal experience, and there are problems with the design cycle of the tool magazine system and poor results. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a tool magazine design method integrating extenics and axiomatic design.

[0004] To achieve the above object, the present invention adopts the following technical solution:

[0005] A tool magazine design method integrating extenics and axiomatic design, comprising:

[0006] Step S1, constructing a tool magazine system requirement feature primitive model;

[0007] Step S2, according to the hierarchical mapping structure of the tool magazine system requirement feature primitive model, obtain the tool magazine design structure coupling matrix; wherein, according to the tool magazine system requirement feature primitive model, based on extenics and axiomatic design, the hierarchical mapping structure of the tool magazine system requirement feature primitive model is obtained;

[0008] Step S3, solving the tool magazine design structure coupling matrix based on the extension strategy to obtain multiple tool magazine design solutions;

[0009] Step S4: select the solution with the least information among multiple tool magazine design solutions as the most reasonable design solution through the value interval and the optimal interval extension distance algorithm.

[0010] Preferably, step S4 comprises:

[0011] Step 41: In the tool magazine design scheme, establish a feasible design scheme set P=(P1, P2, ... P k ), rating index set T = (T1, T2, ... T j ) and the weight set W corresponding to each rating indicator = (W1, W2, …W q );

[0012] Step 42: normalize the evaluation index of the design example, and the system design interval A of the design scheme evaluation index i (j) = [A i L (j),A i R (j)], i = 1, 2, ... k; j = 1, 2, ... q, where if the indicator is the larger the better type, then its normalized interval correlation function is as follows:

[0013]

[0014] Among them, [Z i L (j),Z i R (j)] represents the interval limit value of the rating index for design scheme i, Represents a sequence of design information intervals The maximum norm of Represents a sequence of design information intervals The minimum norm of ;

[0015] Step 43, establish the interval S0(j) correlation function of the ideal design interval of the system evaluation index, and the specific construction principle of the ideal design interval sequence S0(j) of the evaluation index j is as follows:

[0016]

[0017] Step 44: Calculate the extension distance between the ideal solution and the actual modeling solution, and the corresponding normalized ideal information interval A i (j) Normalized system information interval S with actual solution i The interval extension distance of (j) is expressed as follows:

[0018]

[0019] For the actual information interval S i (j) Ideal information interval A i (j) Perform weighted processing on the data, and the weighted extension distance is expressed as follows:

[0020]

[0021] The degree of closeness between the ideal design information interval and the system design interval ξ(i,j) can be expressed as:

[0022]

[0023] Among them, the value interval of ξ(i,j) is [0,1];

[0024] Step 45: Calculate the fuzzy interval information of the evaluation index j ξ(i,j), and then calculate the model interval information of the evaluation index I according to the degree of proximity. i (j):

[0025] I i (j) = log2(exp(1-ξ(i,j)))

[0026] Step 46: For different design schemes i, the fuzzy interval information amount about the evaluation index is I i ∑, then the calculation process of the total amount of fuzzy interval information of the evaluation index of design scheme i is as follows:

[0027]

[0028] Step 47: According to the optimization principle of the information axiom of AD theory, the solution with the minimum amount of information is the optimal solution.

[0029]

[0030] The present invention constructs a tool magazine system requirement characteristic primitive model; obtains a tool magazine design structure coupling matrix according to the tool magazine system requirement characteristic primitive model; solves the tool magazine design structure coupling matrix based on an extension strategy to obtain multiple tool magazine design schemes; selects a scheme with the smallest amount of information among the multiple tool magazine design schemes as the most reasonable design scheme; and adopts the technical solution of the present invention to solve the problems of long design cycle and poor effect in tool magazine system design. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0032] Figure 1 This is a flow chart of a tool magazine design method according to an embodiment of the present invention;

[0033] Figure 2 Build schematics for tool magazine design models;

[0034] Figure 3 Analyze tool magazine requirements;

[0035] Figure 4 Map the structure of tool magazine requirement model hierarchy;

[0036] Figure 5 Combine AD theory with extension function mapping;

[0037] Figure 6 is the original 19*19 matrix;

[0038] Figure 7 is the reconstructed 19*19 matrix;

[0039] Figure 8 is the reconstructed 11*11 matrix;

[0040] Fig. 9 is the final coupling matrix;

[0041] Fig.10 Design an implication tree for the tool magazine problem;

[0042] Fig.11 Design drawings for tool magazine change plans;

[0043] Fig.12 Design a model for the three-dimensional modeling of the tool magazine, including: 1. electric motor 2. tool changing robot arm 3. worm gear device 4. tool chain transmission device 5. tool bar group 6. tool 7. cylindrical gear;

[0044] Fig.13 Design model for the overall machining center 3D modeling;

[0045] Fig.14 This is an example of a tool magazine. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] Embodiment 1:

[0049] like Figure 1 As shown, an embodiment of the present invention provides a tool magazine design method integrating extenics and axiomatic design, including:

[0050] Step S1, constructing a tool magazine system requirement feature primitive model;

[0051] Step S2, obtaining a tool magazine design structure coupling matrix according to the hierarchical mapping structure of the tool magazine system requirement feature primitive model;

[0052] Step S3, solving the tool magazine design structure coupling matrix based on the extension strategy to obtain multiple tool magazine design solutions;

[0053] Step S4: select the solution with the least information among multiple tool magazine design solutions as the most reasonable design solution through the value interval and the optimal interval extension distance algorithm.

[0054] Furthermore, for the innovative design of the tool magazine of the machining center, the embodiment of the present invention combines axiomatization and exogenous science to construct a new tool changing device model for the tool changing machining center. Figure 2 As shown, it includes the following three aspects:

[0055] (1) Identify tool magazine problems and establish a physical element model. First, conduct an in-depth analysis of the existing tool magazine system to identify its existing problems and shortcomings. These problems are abstracted by constructing a physical element model. On the basis of clarifying the problem, understand the customer's needs and convert these needs into specific functional requirements, that is, covering the expected performance of the tool magazine system in terms of performance, efficiency, reliability, etc., and map them to structural primitives, that is, specific physical implementations, such as the mechanical structure of the tool magazine, control strategy, etc., laying the foundation for the effective operation of the tool magazine system.

[0056] (2) Tool magazine structure mapping and contradiction problem solving. Through the previous topological mapping, in order to ensure the consistency between functional requirements and physical implementation, the tool magazine functions are hierarchically decomposed to clarify the underlying demand structure. A design structure matrix 1 that integrates the primitive model is established to ensure that each design structure is independently satisfied. By simplifying the design matrix, complex design problems are decomposed into smaller and more manageable parts. If there is coupling between the design matrices, a mathematical model of the topological contradiction problem is proposed after simplifying the matrix. According to the problem type, the decoupling strategy based on topology is used to finally determine the specific structural parameter details of the implementation steps, etc., to ensure the independence and systematicness of the design.

[0057] (3) Construct a screening matrix for the scheme. If there are multiple alternative schemes, a design matrix 2 is established in the structure domain and parameter domain according to the specific parameter configurations of different schemes. The information content of each group of schemes is evaluated by establishing a correlation function and calculating the extension distance from interval to interval. Combined with the principle of minimum information content, the design scheme that best meets the axiomatic design principle is selected to meet customer needs and ensure the efficient operation of the tool magazine system.

[0058] As an implementation method of the present invention, the tool magazine system requirement feature primitive model in step S1 is:

[0059]

[0060] Where: P mi Indicates the tool magazine demand object, C miRepresents the demand object C m1 ,C m2 …C mn The corresponding n demand characteristics, V mi Indicates demand characteristics C mi (i=1,2,…,n) corresponds to n demand characteristic values, and the three of them constitute n as the demand matrix using matter element M i Represents, as the basic component of complex structural requirements.

[0061] In the actual operation of the machine tool, the tool magazine is composed of multiple components that cooperate with each other. Its design should take into account factors such as the use of different types of tools and the load under different working conditions. Through detailed analysis and optimization of each component, the tool magazine can be operated efficiently, stably and reliably during the cutting process of the machine tool. In order to meet the user needs and evaluation system of different types of parts, it is necessary to establish a new paradigm for the evaluation of old tool magazines and the demand for new tool magazines. In this regard, based on the extension analysis of the original structure of the tool magazine, a new tool magazine demand model construction paradigm is proposed, such as Figure 3 As shown. As a complex system, the tool magazine is composed of multiple interrelated and synergistic components, and it is necessary to fully consider many complex and variable factors, especially the diverse usage scenarios of different types of tools and the load conditions under various working conditions. Based on this, the present invention uses the tool magazine system requirement feature primitive model in step S1 to construct a physical element model of the parts of each component of the tool magazine, and the model for the protective cover is constructed as follows:

[0062]

[0063] The tool identification model is constructed as:

[0064]

[0065] The tool transmission device model is:

[0066]

[0067] The cutter head model is:

[0068]

[0069] The cutter head device model is

[0070]

[0071] The tool identification model is:

[0072]

[0073] Based on the above six models, it can be concluded that the needs for tool magazine improvement are to improve tool change stability, improve dimensional compatibility, improve positioning accuracy and repeat positioning accuracy, and increase the maximum capacity of the tool magazine.

[0074] As an implementation method of the embodiment of the present invention, in step S2, according to the tool magazine requirements, the primitive logic of extenics is used for expression, as shown in the following formula:

[0075]

[0076] The hierarchical structure based on extension mapping is mainly to hierarchically process the design problem, decomposing it into the functional level and the implementation level. At the functional level, the design problem is abstracted into functional requirements, that is, defining the functional goals that the system should achieve, and expressing the functional models (FRBs) that the library has to meet user needs through primitive mapping; while at the implementation level, these functional requirements are converted into specific design parameters, that is, determining the specific means and methods for the system to achieve these functions, and finally to the structure adopted by the functional model through zigzag mapping, that is, the structural domain model (DPBs) of the new tool magazine. The hierarchical structure of its functional domain primitives and structural domain primitives is as follows Figure 4 As shown, for Figure 3 The demand for tool magazine improvement is decomposed into functional level and implementation level. At the functional level, the design problem is abstracted into functional requirements, that is, defining the functional goals that the system should achieve, among which the functional models (FRBs) that the library has to meet user needs are expressed through primitive mapping; at the implementation level, these functional requirements are converted into specific design structures, that is, determining the specific means and methods for the system to achieve these functions. The tool magazine efficiency structure model is mapped to the functional requirements of the next layer to obtain the ontology model (FRB111), clamping model (FRB112), and drive model (FRB113) that need to be improved. The specific capacity model is mapped to the functional requirements of the next layer to obtain the information transmission model (DPB121), tool identification model (DPB122), and transmission device model (DPB123) that need to be improved, until the lowest level of improved structure, hydraulic drive, automatic pressure control, slide chain, chain pressure, automatic clamping device, clamping rate, mechanical coupling, transmission rate, tool handle identification, and surface coating are obtained.

[0077] Using the FRB11 model and above models to demonstrate, under the framework of axiomatic design, combined with topology, user domain primitives, functional domain primitives, structural domain primitives and process domain primitives are established in turn and decomposed step by step, and a hierarchical mapping model is established to construct the design structure matrix 1, simplify the demand matrix, and determine whether there is a coupling relationship between the functional requirements and the design parameters. If there is a coupling relationship, a mathematical model of the topological contradiction problem is proposed. According to the type of problem, it is determined whether it is an incompatible problem or a contradictory problem, and the topological strategy or conversion bridge method is adopted according to the characteristics of the problem to solve it. After a feasible solution is obtained, it is brought into the design matrix again. The goal is to transform the demand matrix into a diagonal matrix or an upper triangular matrix, in which each functional requirement is only directly related to one design parameter, or has only a small amount of coupling. For example Figure 5 Throughout the process, through the top-down process of axiomatic design and the establishment of multi-angle analysis of extenics primitives, the core problems are found and solved. Figure 4 The tool magazine hierarchical mapping shown in the figure establishes a design structure matrix 1, in which the matrix column vectors represent functional elements, and the matrix row vectors represent structural elements. If there is an impact between the structure and the functional elements, the cell is marked with "X". If there is no impact between the structure and the functional elements, the cell is represented by a blank. The matrix is ​​a 19*19 matrix, and the possible coupling numbers are shown in the following formula:

[0078] R=2 m-n+1 -1=2 27-19+1 -1=511

[0079] Wherein, R represents the number of couplings, m represents the non-empty elements of the matrix except the main diagonal elements, and n represents the number of rows or columns of the matrix. In order to decompose the matrix one by one and find the coupling part, the present invention performs rectangular simplification, and its main process is: the three elements (FR5, DP5), (FR18, DP18), (FR19, DP19) with only the main diagonal elements marked in the row and column are moved to the upper left corner, the two elements (FR3, DP3), (FR6, DP6) with only the main diagonal elements marked in the column part and the three elements (FR1, DP1), (FR11, DP11), (FR17, DP17) with only the main diagonal elements marked in the column part are moved to the lower right corner. The above parts do not belong to the coupling matrix. After moving them, the row and column elements are removed. For the unmarked elements, their positions are arranged in order. The original matrix is ​​reduced to an 11*11 matrix. The transformation process is as follows: Figure 6 to Figure 7 Continue with the above conversion method, filter out zero row elements (FR2, DP2) and zero column elements (FR4, DP4), (FR9, DP9), (FR14, DP14), (FR16, DP16) and remove them, as shown in Figure 8As shown, repeat the above operation until a coupling matrix that cannot be decomposed any further is obtained, that is, the matrix is ​​a coupling matrix, and the final coupling is as follows Fig. 9 shown.

[0080] As an implementation method of an embodiment of the present invention, in step S3, after the simplification process of the matrix, a coupling matrix between matrices is obtained, that is, there is a design structure coupling between (FR7, DP7), (FR8, DP8), and (FR13, DP13). The main coupling problem of the entire system is concentrated in the above 3*3 matrix. For this problem, it belongs to the unacceptable coupling design of the entire tool magazine system. A coupling contradiction problem is established. Through the mechanism analysis of extenics, the matter-element model of the three elements of the coupling matrix is ​​shown as follows:

[0081]

[0082] The contradictory problem is described as follows: the machine tool is a vertical and horizontal composite machining center, and its vertical spindle tools and horizontal spindle tools are randomly stored in the disc tool magazines at both ends. The design of the double-disc tool magazine makes it necessary for the tool change robot to select the tool through the identification of the tool magazine identification system to take out and put back the tool, resulting in a long tool change time. In addition, the maximum capacity of the double-disc tool magazine is 24, that is, the tool magazine can only store 24*2=48 tools. Due to the tool factor, the machining center cannot meet the processing requirements of complex parts in multiple processes. The above problem is a coupled contradictory problem. According to the solution process of the contradictory problem in extenics, the target model of the original problem is established, as shown in the following formula.

[0083]

[0084] For the main object in problem P, the disc tool magazine M0, its object-element model is:

[0085]

[0086] The extension model of its core problem can be expressed as:

[0087]

[0088] Since the design goal G cannot be met simultaneously under the existing conditions L, in order to solve the incompatibility problem of the tool magazine system, the correlation analysis of the conditional primitives is carried out based on the logic of extenics. According to the implicit analysis of the design goal problem, the tool magazine capacity l01 is related to the automation level l011, the processing task l012, and the machining center structure l013, among which the machining center structure l013 is related to the tool magazine structure l0131, the worktable size l0132, and the tool change robot arm position l0133. The tool magazine structure l0131 includes the tool magazine disc l01311, the vertical support l01312, and the tool clamping mechanism l01313; the tool magazine type l02 includes the disc tool magazine l021, the chain tool magazine l022, and the bucket tool magazine l023; the tool change time l03 is related to the tool magazine type l031, the drive system l032, and the control system l033, and the drive system l032 includes the hydraulic drive l0321, the servo motor l0322, and the stepper motor l0323; the implication relationship tree is obtained as follows Fig.10 As shown:

[0089] In order to find the extension transformation that makes the incompatible problems compatible, the tool magazine as a whole and the tool magazine parts are improved and three solutions are obtained. The change ideas are as follows: Fig.11 shown.

[0090] Taking the tool magazine structure l0131 as an example, applying extension transformations T01311 and T01312, changing the original tool magazine disc l01311 into a double-layer tool disc, and increasing the load of the vertical support l01312, its extension transformation is:

[0091]

[0092] After the conduction transformation,

[0093]

[0094] The solution D1 is derived from the above extended analysis and extension transformation: optimize the space utilization of the tool magazine, redesign the layout of the tool magazine, and design a multi-layer disc tool magazine on the existing basis. In terms of tool change efficiency, through software optimization, reduce the delay of each step in the tool change process and improve the overall tool change speed.

[0095] Similar to the generation of schemes D2 and D3, scheme D2 is: adding a modular chain tool magazine on the basis of the double-disc tool magazine to achieve a larger capacity of tool storage, integrating the control system of the chain tool magazine with the CNC system (CNC) of the existing machine tool, ensuring that the CNC system can identify and control the newly added chain tool magazine module, and ensuring the improvement of some tool change speeds. D3: The integrated solution of the chain tool magazine, including its installation location, drive mode, control system access, etc., improves the double-disc tool magazine into a single chain tool magazine.

[0096] As an implementation of the embodiment of the present invention, step S4 includes:

[0097] Step 41: In the tool magazine design scheme, establish a feasible design scheme set P=(P1, P2, ... P k ), rating index set T = (T1, T2, ... T j ) and the weight set W corresponding to each rating indicator = (W1, W2, …W q ).

[0098] Step 42: In order to normalize the subsequent data, the evaluation index of the design example is normalized, and the system design interval A of the design scheme evaluation index is i (j) = [A i L (j),A i R (j)], i = 1, 2, ... k; j = 1, 2, ... q. If the indicator is the larger the better type, then its normalized interval correlation function is as follows:

[0099]

[0100] Among them, [Z i L (j),Z i R (j)] represents the interval limit value of the rating index for design scheme i, Represents a sequence of design information intervals The maximum norm of Represents a sequence of design information intervals The minimum norm of .

[0101] Step 43, establish the interval S0(j) correlation function of the ideal design interval of the system evaluation index, and the specific construction principle of the ideal design interval sequence S0(j) of the evaluation index j is as follows:

[0102]

[0103] Step 44: Calculate the extension distance between the ideal solution and the actual modeling solution, and the corresponding normalized ideal information interval A i (j) Normalized system information interval S with actual solution i The interval extension distance of (j) is expressed as follows:

[0104]

[0105] For the actual information interval S i (j) Ideal information interval A i(j) Perform weighted processing on the data, and the weighted extension distance is expressed as follows:

[0106]

[0107] The degree of closeness between the ideal design information interval and the system design interval ξ(i,j) can be expressed as:

[0108]

[0109] Among them, the value interval of ξ(i,j) is [0,1]. The larger the value, the closer the actual modeling scheme is to the ideal modeling scheme.

[0110] Step 45: Calculate the fuzzy interval information of evaluation index j ξ(i,j). Then calculate the model interval information of the evaluation index I according to the degree of proximity. i (j):

[0111] I i (j) = log2(exp(1-ξ(i,j)))

[0112] Step 46: For different design schemes i, the fuzzy interval information amount about the evaluation index is I i ∑, then the calculation process of the total amount of fuzzy interval information of the evaluation index of design scheme i is as follows:

[0113]

[0114] Step 47: According to the optimization principle of the information axiom of AD theory, the solution with the minimum amount of information is the optimal solution.

[0115]

[0116] Example solution calculation:

[0117] On the premise that all the above schemes pass the independence test, the scheme with the least information is selected as the final design scheme by calculating the extension distance. In the design of large-scale complex schemes, the design information has the characteristics of partial fuzziness. In order to extract the information between different schemes, the scheme rating index parameters are established, as shown in Table 1.

[0118] Table 1

[0119] plan Tool change time / sec Change price / 10,000 yuan Positioning accuracy / ° Repeat positioning accuracy / ° Maximum capacity D1 7～8 10～13 0.1500～0.1667 0.1200～0.1333 36 D2 5～7 24～28 0.1667～0.1833 0.1000～0.1167 74 D3 3～5 13～18 0.1167～0.1333 0.0667～0.0833 50

[0120] According to the algorithm description above, the specific steps of its implementation are as follows:

[0121] Step 1: Based on Table 1, we can obtain the feasible design solution set P = {P1, P2, P3}, establish the rating index set T = {T1, T2, T3, T4, T5} and the weight set W = {0.3245, 0.2713, 0.2216, 0.1157, 0.0669} corresponding to each rating index.

[0122] Step 2: Normalize the five evaluation indicators of the design example, tool change time, change price, positioning accuracy, repeated positioning accuracy and maximum capacity, and obtain the rating matrix 1 as shown below:

[0123]

[0124] Step 3: Based on the ideal design interval sequence S0(j) of the design evaluation index j, its ideal matrix is ​​shown as follows:

[0125] S0(j)=[[1.000,0.6000] [1.000,0.7692] [1.000,0.8755] [1.000,0.8007][1.000,1.000]]

[0126] Step 4: Calculate the extension distance, and its corresponding normalized ideal information interval A i (j) Normalized system information interval S with actual solution i The interval extension distance matrix of (j) is shown as follows:

[0127]

[0128] Its weighted extension distance is expressed as follows:

[0129]

[0130] Step 5: For the three schemes designed above, for different design schemes i, obtain the fuzzy interval information I of the evaluation index. i ∑Information Matrix I

[0131]

[0132] Step 6: Calculate the total amount of fuzzy interval information I∑ of the evaluation index of design scheme i

[0133] I∑=[0.3801,0.4761,0.1184]

[0134] Step 7. Based on the principle of the minimum amount of information for the optimal design, it is concluded that the total amount of fuzzy interval information of Scheme D3 is the minimum. It is calculated that Scheme 3 is the optimal design scheme, that is, the integrated scheme of the chain tool magazine, including its installation position, drive mode, control system access, etc., to improve the double-disc tool magazine into a single chain tool magazine.

[0135] According to the above content, the final three-dimensional diagram of the tool magazine design is as follows Fig.12 As shown in the figure, it includes a series of mechanisms such as tool bar group, tool chain transmission device, electric motor, tool storage unit, etc. Compared with the original machining center disc tool magazine, the changes in its structural requirements are taken into consideration during the design process. Figure 4 As shown in the figure, the original chain tool magazine is changed to the existing integrated chain tool magazine, which adopts a vertical layout instead of occupying the circular area on the two sides of the machine tool. The length of the chain can be flexibly adjusted according to the processing needs. The action of taking and putting the tool may be more direct than the disc tool magazine, reducing unnecessary tool search time. The tool magazine is driven by a servo motor. The operation of the rotating motor will drive the driving wheel to rotate, and the setting of the synchronous belt will enable the driven wheel to rotate synchronously. It can automatically, efficiently and accurately replace various types and sizes of tools, thereby improving production efficiency and reducing the possibility of human errors.

[0136] Rely on SolidWorks to build 3D models such as Fig.12 and 13 As shown, ABAQUS software was used for finite element analysis, and the actual design and installation were carried out after verification. The example diagram is shown in Figure 14. After the example test, at the power supply frequency of 60HZ, the tool change time is 3.26sec-3.43sec, the tool magazine capacity is 50 tools and can be appropriately extended. After the test, it meets the existing functional requirements and realizes efficient and coordinated tool change output.

[0137] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A tool magazine design method integrating extenics and axiomatic design, characterized in that: include: Step S1, constructing a tool magazine system requirement feature primitive model; Step S2, according to the hierarchical mapping structure of the tool magazine system requirement feature primitive model, obtain the tool magazine design structure coupling matrix; wherein, according to the tool magazine system requirement feature primitive model, based on extenics and axiomatic design, the hierarchical mapping structure of the tool magazine system requirement feature primitive model is obtained; Step S3, solving the tool magazine design structure coupling matrix based on the extension strategy to obtain multiple tool magazine design solutions; Step S4: select the solution with the least information among multiple tool magazine design solutions as the most reasonable design solution through the value interval and the optimal interval extension distance algorithm.

2. The tool magazine design method integrating extenics and axiomatic design as claimed in claim 1 is characterized in that: Step S4 includes: Step 41: In the tool magazine design scheme, establish a feasible design scheme set P=(P1, P2, ... P k ), rating index set T = (T1, T2, ... T j ) and the weight set W corresponding to each rating indicator = (W1, W2, …W q ); Step 42: Normalize the evaluation index of the design example, and the system design interval of the design scheme evaluation index Among them, if the indicator is of the type of the larger the better, then its normalized interval correlation function is as follows: in, represents the interval limit value of the rating index of design scheme i, Represents a sequence of design information intervals The maximum norm of Represents a sequence of design information intervals The minimum norm of ; Step 43, establish the interval S0(j) correlation function of the ideal design interval of the system evaluation index, and the specific construction principle of the ideal design interval sequence S0(j) of the evaluation index j is as follows: Step 44: Calculate the extension distance between the ideal solution and the actual modeling solution, and the corresponding normalized ideal information interval A i (j) Normalized system information interval S with actual solution i The interval extension distance of (j) is expressed as follows: For the actual information interval S i (j) Ideal information interval A i (j) Perform weighted processing on the data, and the weighted extension distance is expressed as follows: The degree of closeness between the ideal design information interval and the system design interval ξ(i,j) can be expressed as: Among them, the value interval of ξ(i,j) is [0,1]; Step 45: Calculate the fuzzy interval information of the evaluation index j ξ(i,j), and then calculate the model interval information of the evaluation index I according to the degree of proximity. i (j): I i (j)=log2(exp(1-ξ(i,j))) Step 46: For different design schemes i, the fuzzy interval information amount about the evaluation index is I i ∑, then the calculation process of the total amount of fuzzy interval information of the evaluation index of design scheme i is as follows: Step 47: According to the optimization principle of the information axiom of AD theory, the solution with the minimum amount of information is the optimal solution.

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