A tool magazine design method combining extension theory with axiomatic design

Abstract

The application discloses a tool magazine design method fusing an extension method and axiomatic design, and comprises the following steps: S1, a tool magazine system demand feature element model is constructed; S2, a tool magazine design structure coupling matrix is obtained according to the tool magazine system demand feature element model; S3, the tool magazine design structure coupling matrix is solved based on an extension strategy, and a plurality of tool magazine design schemes are obtained; and S4, a scheme with the least information amount in the plurality of tool magazine design schemes is selected as the most reasonable design scheme. The technical scheme of the application solves the problems of long design period and poor effect in tool magazine system design.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of tool magazine processing, and particularly relates to a tool magazine design method combining with the extension and axiomatic design. BACKGROUND

[0002] The tool magazine system is one of the key components of the machining center. As a complex device integrating machinery, electronics and control, the tool magazine system mainly functions to realize the storage and switching of tools, so as to reduce the non-cutting time in the machining process and improve the work efficiency. As a key component, the design optimization of the tool magazine system directly affects the efficiency and cost of the whole machining process. The existing design optimization method excessively depends on the personal experience of the designer, and there is a problem of long design cycle and poor effect for the design of the tool magazine system. SUMMARY

[0003] The application aims to solve the technical problem of providing a tool magazine design method combining with the extension and axiomatic design.

[0004] To achieve the above-mentioned purpose, the application adopts the following technical solution:

[0005] A tool magazine design method combining with the extension and axiomatic design, comprising:

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

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

[0008] Step S3, solving the tool magazine design structure coupling matrix based on the extension strategy to obtain a plurality of tool magazine design schemes;

[0009] Step S4, screening the scheme with the least information amount from the plurality of tool magazine design schemes as the most reasonable design scheme through the value interval and optimal interval extension distance algorithm.

[0010] As an optimization, step S4 comprises:

[0011] Step 41, in the tool magazine design scheme, a feasible design scheme set P=(P1, P2, …P k ) satisfying the independent axiom, a rating index set T=(T1, T2, …T j ) and a weight set W=(W1, W2, …W q ) corresponding to each rating index are established;

[0012] Step 42: Standardize the evaluation indicators for the design examples, and define the system design interval A for the evaluation indicators of the design scheme. i (j)=[A i L (j),A i R [j], i = 1, 2, ..., k; j = 1, 2, ..., q, where, if the index is of the larger the better type, 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 design scheme i with respect to the rating index. Represents the design information interval sequence The maximal norm, Represents the design information interval sequence The minimum norm;

[0015] Step 43: Establish the interval S0(j) correlation function of the ideal design interval of the system evaluation index. 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 determine the corresponding normalized ideal information interval A. i (j) Information interval S between the actual scheme and the standardized system i The extensional 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 closeness ξ(i,j) between the ideal design information interval and the system design interval can be expressed as:

[0022]

[0023] Where ξ(i,j) takes values ​​in the range [0,1];

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

[0025] I i (j)=log2(exp(1-ξ(i,j)))

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

[0027]

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

[0029]

[0030] This invention constructs a primitive model of the requirements characteristics of a tool magazine system; based on the primitive model, it obtains the tool magazine design structure coupling matrix; it solves the tool magazine design structure coupling matrix based on an extension strategy to obtain multiple tool magazine design schemes; it selects the scheme with the least information among the multiple tool magazine design schemes as the most reasonable design scheme; by adopting the technical solution of this invention, it solves the problems of long design cycles and poor results in tool magazine system design. Attached Figure Description

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

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

[0033] Figure 2 A schematic diagram of the tool magazine design model construction;

[0034] Figure 3 Tool magazine requirements analysis;

[0035] Figure 4 This represents the hierarchical mapping structure of the tool magazine requirement model.

[0036] Figure 5 This involves combining AD theory with extensional functional mapping.

[0037] Figure 6 This is the original 19x19 matrix;

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

[0039] Figure 8 For the reconstructed 11x11 matrix;

[0040] Figure 9 This is the final coupling matrix;

[0041] Figure 10 The tool magazine design problem implies a tree;

[0042] Figure 11 Design drawings for tool magazine modification scheme;

[0043] Figure 12 The 3D model design for the tool magazine includes: 1. Electric motor; 2. Tool changing robot arm; 3. Worm gear mechanism; 4. Tool chain drive; 5. Tool holder assembly; 6. Tool; 7. Cylindrical gear.

[0044] Figure 13 3D modeling design for the overall machining center;

[0045] Figure 14 This is a tool magazine instance. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] Example 1:

[0049] like Figure 1 As shown, this embodiment of the invention provides a tool magazine design method that integrates extension theory and axiomatic design, including:

[0050] Step S1: Construct the primitive model of the requirements features of the tool magazine system;

[0051] Step S2: Based on the hierarchical mapping structure of the tool magazine system requirement feature primitive model, obtain the tool magazine design structure coupling matrix;

[0052] Step S3: Solve the tool magazine design structure coupling matrix based on the extension strategy to obtain multiple tool magazine design schemes;

[0053] Step S4: Select the most reasonable design scheme from multiple tool magazine design schemes by using the value range and the optimal range extension distance algorithm.

[0054] Furthermore, regarding the innovative design of the tool magazine in machining centers, this invention embodiment combines axiomatic and topological principles to construct a model of a novel tool changing device for machining centers, as follows: Figure 2 As shown, it includes the following three aspects:

[0055] (1) Identifying tool magazine problems and establishing a matter-element model. First, conduct an in-depth analysis of the existing tool magazine system to identify its problems and shortcomings. These problems are abstracted by constructing a matter-element model. Based on the clear understanding of the problems, understand the customer's needs and transform these needs into specific functional requirements, which cover the expected performance of the tool magazine system in terms of performance, efficiency, reliability, etc., and map them to structural primitives, i.e., specific physical implementations, such as the mechanical structure and control strategy of the tool magazine, thus laying the foundation for the effective operation of the tool magazine system.

[0056] (2) Tool Magazine Structure Mapping and Contradiction Problem Solving. Based on the extension theory mapping described earlier, to ensure consistency between functional requirements and physical implementation, the tool magazine function is hierarchically decomposed to clarify the underlying requirement structure. A design structure matrix 1 of the fusion primitive model is established to ensure that each design structure is independently satisfied. By simplifying the design matrix, the complex design problem is decomposed into smaller, more manageable parts. If coupling exists between design matrices, an extension theory-based mathematical model of contradiction problems is proposed after matrix simplification. Based on the problem type, an extension theory-based decoupling strategy is adopted to ultimately determine the specific structural parameters and details of the implementation steps, ensuring the independence and systematic nature of the design.

[0057] (3) Constructing a screening matrix for the scheme. If there are multiple alternative schemes, design matrix 2 is established in the structural domain and parameter domain according to the specific parameter configuration of different schemes. By establishing correlation functions and calculating the extensibility distance between intervals, the information content of each scheme is evaluated. Combining the principle of minimizing information content, the design scheme that best conforms to the axiomatic design principle is selected, which ensures the efficient operation of the tool magazine system while meeting the needs of customers.

[0058] As one embodiment of the present invention, the basic model of the tool magazine system requirements in step S1 is as follows:

[0059]

[0060] Where: P mi The object representing the tool magazine requirement, C miRepresents the requirement object C m1 C m2 …C mn The corresponding n demand characteristics, V mi Indicates demand characteristic C mi The n demand characteristic values ​​corresponding to (i = 1, 2, ..., n) constitute the demand matrix using the matter element M. i This indicates that it is a fundamental component of the requirements for complex structures.

[0061] In the actual operation of machine tools, the tool magazine consists of multiple interconnected components, and its design should consider 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, efficient, stable, and reliable operation of the tool magazine during machine tool cutting can be achieved. To address the user needs and evaluation systems for different types of parts, a new paradigm for evaluating existing tool magazines and meeting the requirements of new tool magazines needs to be established. Therefore, based on an extension analysis of the original tool magazine structure, a new paradigm for constructing a requirement model for tool magazines is proposed, such as... Figure 3 As shown. The tool magazine, as a complex system, is composed of multiple interconnected and collaborative components. It requires careful consideration of numerous complex and variable factors, especially the diverse usage scenarios of different types of tools and the loads they withstand under various working conditions. Based on this, this invention uses the tool magazine system requirement feature primitive model in step S1 to construct the matter-element model of each component of the tool magazine. The model construction for the protective cover is as follows:

[0062]

[0063] The tool identification model is constructed as follows:

[0064]

[0065] The tool transmission device model is as follows:

[0066]

[0067] The cutter head model is as follows:

[0068]

[0069] The cutter head device model is

[0070]

[0071] The tool identification model is as follows:

[0072]

[0073] Based on the above six models, the requirements for tool magazine improvement are to enhance tool changing stability, improve size compatibility, improve positioning accuracy and repeatability, and increase the maximum capacity of the tool magazine.

[0074] As one embodiment of the present invention, in step S2, according to the tool magazine requirements, the basic logic of extension theory is used for expression, as shown in the following formula:

[0075]

[0076] The hierarchical structure based on extension mapping primarily involves the hierarchical processing of design problems, decomposing them into functional and implementation levels. At the functional level, the design problem is abstracted into functional requirements, defining the functional goals the system should achieve. This is expressed through a primitive mapping library to represent functional models (FRBs) designed to meet user needs. At the implementation level, these functional requirements are transformed into specific design parameters, determining the specific means and methods by which the system implements these functions. This is ultimately mapped through a zigzag pattern to the structure adopted by the functional model, namely 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 requirements for improving the tool magazine are decomposed into functional and implementation levels. At the functional level, the design problem is abstracted into functional requirements, that is, defining the functional goals that the system should achieve. This is expressed by primitive mapping libraries to represent functional models (FRBs) that meet user needs. At the implementation level, these functional requirements are transformed 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 next level of functional requirements to obtain the ontology model (FRB111), clamping model (FRB112), and drive model (FRB113) that need improvement. The specific capacity model is mapped to the next level of functional requirements to obtain the information transmission model (DPB121), tool identification model (DPB122), and transmission device model (DPB123) that need improvement, until the lowest level of improvement is obtained, including the structure, hydraulic drive, automatic pressure control, slide chain, chain pressure, automatic clamping device, clamping rate, mechanical coupling, transmission rate, tool holder marking, and surface coating.

[0077] Using the FRB11 model and above, within the framework of axiomatic design, and combining extension theory, user domain primitives, functional domain primitives, structural domain primitives, and process domain primitives are sequentially established and decomposed level by level to build a hierarchical mapping model and construct the design structure matrix 1. This simplifies the requirement matrix and determines whether there is a coupling relationship between functional requirements and design parameters. If a coupling relationship exists, an extension theory-based mathematical model for contradictory problems is proposed. Based on the problem type, it is determined whether it is an incompatible or contradictory problem, and extension strategies or transformation bridge methods are adopted to solve it according to the problem characteristics. After obtaining feasible solutions, they are again substituted into the design matrix. The goal is to transform the requirement matrix into a diagonal or upper triangular matrix, where each functional requirement is directly related to only one design parameter, or has only minimal coupling. Figure 5 As shown. Throughout the process, through axiomatic design from top to bottom and the establishment of multi-faceted analysis using extensional primitives, the core problem was identified and solved. Figure 4 The tool magazine hierarchy mapping shown establishes a design structure matrix 1, where column vectors represent functional elements and row vectors represent structural elements. If a structural element influences a functional element, the cell is marked with an "X"; otherwise, it is left blank. This matrix is ​​a 19x19 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] Where R represents the number of couplings, m represents the non-empty elements of the matrix excluding the main diagonal elements, and n represents the number of rows or columns of the matrix. To decompose the matrix one by one to find the coupling parts, this invention uses a rectangular simplification method. The main process is as follows: Three elements (FR5, DP5), (FR18, DP18), and (FR19, DP19) with only their main diagonal elements marked in the row and column are moved to the upper left corner. Two elements (FR3, DP3) and (FR6, DP6) with only their main diagonal elements marked in the column, and three elements (FR1, DP1), (FR11, DP11), and (FR17, DP17) with only their main diagonal elements marked in the column are moved to the lower right corner. These parts do not belong to the coupling matrix. After moving them, the elements in that row and column are removed. For unmarked elements, their positions are arranged sequentially. The original matrix is ​​reduced to an 11*11 matrix. The transformation process is as follows: Figure 6 to Figure 7 As shown. Continuing with the above transformation method, filter out and remove the zero-row elements (FR2, DP2) and zero-column elements (FR4, DP4), (FR9, DP9), (FR14, DP14), and (FR16, DP16), as follows. Figure 8As shown, repeat the above operation until a coupling matrix that cannot be further decomposed is obtained, i.e., this matrix is ​​the coupling matrix, and the final coupling is as follows. Figure 9 As shown.

[0080] In one embodiment of the present invention, in step S3, after the simplification of the matrix, a coupling matrix is ​​obtained between the matrices, namely, 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. This problem belongs to the unacceptable coupling design of the entire tool magazine system. The coupling contradiction problem is established. Through the mechanism analysis of extension theory, the matter-element model of the three elements of the coupling matrix is ​​as follows:

[0081]

[0082] The contradictory problem is described as follows: The machine tool is a vertical-horizontal composite machining center. Its vertical spindle tools and horizontal spindle tools are randomly located in the two-end disc tool magazines. The design of the dual-disc tool magazine means that the tool changing robot arm can only select and put back tools through the identification system of the tool magazine, resulting in excessively long tool changing time. In addition, the maximum capacity of the dual-disc tool magazine is 24, that is, the tool magazine can only store 24*2=48 tools. Due to the tool limitations, the machining center cannot meet the machining requirements of complex parts with multiple processes. The above problem is a coupled contradictory problem. According to the extension theory, the target model of the original problem is established based on the solution process of the contradictory problem, as shown in the following formula.

[0083]

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

[0085]

[0086] Its kernel problem can be represented by the following extension model:

[0087]

[0088] Since the design objective G cannot be simultaneously satisfied under the existing conditions L, in order to solve the incompatibility problem of the tool magazine system, a correlation analysis is performed on the condition primitives based on the logic of extension theory. According to the implication analysis of the design objective problem, the tool magazine capacity l01 is related to the automation level l011, the machining task l012, and the machining center structure l013. Among them, the machining center structure l013 is related to the tool magazine structure l0131, the worktable size l0132, and the position of the tool changing robot arm l0133. The tool magazine structure l0131 includes the tool magazine disc l01311, vertical support l01312, and tool clamping mechanism l01313. Tool magazine types l02 include disc-type tool magazine l021, chain-type tool magazine l022, and bucket-type tool magazine l023. Tool change time l03 is related to tool magazine type l031, drive system l032, and control system l033. The drive system l032 includes hydraulic drive l0321, servo motor l0322, and stepper motor l0323. The resulting relational tree is as follows: Figure 10 As shown:

[0089] To find an extensible transformation that makes incompatible problems compatible, improvements were made to the tool magazine as a whole and to its individual components, resulting in three solutions. The modification ideas are as follows: Figure 11 As shown.

[0090] Taking the tool magazine structure l0131 as an example, by applying extension transformations T01311 and T01312, the original tool magazine disc l01311 is changed into a double-layer tool magazine, and the load of the vertical support member l01312 is increased. Its extension transformation is as follows:

[0091]

[0092] After its conduction transformation, it has

[0093]

[0094] Based on the above extended analysis and extension transformation, the proposed solution is D1: 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 changing efficiency, software optimization is used to reduce the delay of each step in the tool changing process and improve the overall tool changing speed.

[0095] Similar to solutions D2 and D3, solution D2 involves adding a modular chain tool magazine to the existing dual-disc tool magazine to achieve greater tool storage capacity. The chain tool magazine's control system is integrated with the existing machine tool's CNC system, ensuring the CNC system can recognize and control the newly added chain tool magazine module, thus guaranteeing an improvement in tool change speed. Solution D3 is an integrated solution for the chain tool magazine, including its installation location, drive method, and control system integration, transforming the dual-disc tool magazine into a single chain tool magazine.

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

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

[0098] Step 42: To normalize subsequent data, the evaluation indicators for the design examples are standardized, and the system design interval A of the design scheme evaluation indicators is determined. i (j)=[A i L (j),A i R [j], i = 1, 2, ..., k; j = 1, 2, ..., q. Wherein, if the index is of the "the larger the better" type, 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 design scheme i with respect to the rating index. Represents the design information interval sequence The maximal norm, Represents the design information interval sequence The minimum norm of .

[0101] Step 43: Establish the interval S0(j) correlation function of the ideal design interval of the system evaluation index. 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 determine the corresponding normalized ideal information interval A. i (j) Information interval S between the actual scheme and the standardized system i The extensional 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 closeness ξ(i,j) between the ideal design information interval and the system design interval can be expressed as:

[0108]

[0109] The value range 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 content ξ(i,j) of evaluation index j. Then, calculate the model interval information content I of the evaluation index based on 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 content regarding the evaluation index is I. i ∑, then the calculation process of the total fuzzy interval information of the evaluation index of design scheme i is as follows:

[0113]

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

[0115]

[0116] Example solution calculation:

[0117] Assuming all the above schemes pass the independence test, the scheme with the least information content is selected as the final design scheme by calculating the extension distance. In the design of large and complex schemes, the design information is partially fuzzy. To extract the information content between different schemes, scheme rating index parameters are established, as shown in Table 1.

[0118] Table 1

[0119] Scheme Tool changing time / sec Change price / ten thousand yuan Positioning accuracy / ° Repetition 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] Based on the algorithm description above, the specific steps of its implementation are as follows:

[0121] Step 1: Based on Table 1, obtain the set of feasible design schemes 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: Standardize the five evaluation indicators of the design example—tool change time, change price, positioning accuracy, repeatability, and maximum capacity—to obtain rating matrix 1 as shown in the following formula:

[0123]

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

[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 determine the corresponding normalized ideal information interval A. i (j) Information interval S between the actual scheme and the standardized system i The interval extensional distance matrix of (j) is shown in the following equation:

[0127]

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

[0129]

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

[0131]

[0132] Step 6: Calculate the total 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 that the minimum amount of information is the optimal design, it is found that the total amount of information in the fuzzy interval of scheme D3 is the minimum. Scheme 3 is calculated to be the optimal design scheme, that is, the integrated scheme of chain tool magazine, including its installation position, driving method, control system access, etc., which improves the dual-disc tool magazine into a single chain tool magazine.

[0135] Based on the above, the final 3D design of the tool magazine is shown below. Figure 12 As shown, it includes a series of mechanisms such as a tool holder assembly, a tool chain conveyor, an electric motor, and a tool storage unit. Compared to the original disc-type tool magazine in machining centers, the design process takes into account changes in its structural requirements, such as... Figure 4 As shown, the original chain-type tool magazine is modified into an integrated chain-type tool magazine with a vertical layout, instead of occupying the circular areas on both sides of the machine tool. Furthermore, the chain length can be flexibly adjusted according to machining needs. The tool picking and placing actions are potentially more direct than with a disc-type tool magazine, reducing unnecessary tool seeking time. The tool magazine is driven by a servo motor; the rotation of the motor drives the drive wheel, and the synchronous belt ensures synchronized rotation of the driven wheels. This allows for automated, efficient, and accurate changing of various types and sizes of tools, thereby improving production efficiency and reducing the possibility of human error.

[0136] Building 3D models using SolidWorks, such as Figure 12 and 13 As shown in Figure 14, finite element analysis was then performed using ABAQUS software. After verification, the actual design and installation were carried out. The example figure is shown in Figure 14. After example testing, under the frequency of a 60Hz power supply, the tool change time is 3.26-3.43 seconds, the tool magazine capacity is 50 tools and can be extended appropriately. After testing, it meets the existing functional requirements and achieves efficient and coordinated tool change output.

[0137] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made to the technical solutions of the present invention by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. A tool magazine design method integrating extension theory and axiomatic design, characterized in that, include: Step S1: Construct the primitive model of the requirements features of the tool magazine system; Step S2: Based on the hierarchical mapping structure of the tool magazine system requirement feature primitive model, obtain the tool magazine design structure coupling matrix; wherein, based on the tool magazine system requirement feature primitive model, the hierarchical mapping structure of the tool magazine system requirement feature primitive model is obtained based on extension theory and axiomatic design. Step S3: Solve the tool magazine design structure coupling matrix based on the extension strategy to obtain multiple tool magazine design schemes; Step S4: Select the most reasonable design scheme from multiple tool magazine design schemes by using the value range and optimal range extension distance algorithm. Step S4 includes: Step 41: In the tool magazine design scheme, establish a set of feasible design schemes P = (P1, P2, ..., P...) that satisfy the independence axiom. k The rating indicator set T = (T1, T2, ... T) j ) and the weight set W = (W1, W2, ... W) corresponding to each rating indicator. q ); Step 42: Standardize the evaluation indicators for the design examples, and define the system design interval A for the evaluation indicators of the design scheme. i (j)=[A i L (j),A i R [j], i = 1, 2, ..., k; j = 1, 2, ..., q, where, if the index is of the larger the better type, its normalized interval correlation function is as follows: Among them, [Z i L (j),Z i R [j] represents the interval limit value of design scheme i with respect to the rating index. Represents the design information interval sequence The maximal norm, Represents the design information interval sequence The minimum norm; Step 43: Establish the interval S0(j) correlation function of the ideal design interval of the system evaluation index. 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 determine the corresponding normalized ideal information interval A. i (j) Information interval S between the actual scheme and the standardized system i The extensional 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 closeness ξ(i,j) between the ideal design information interval and the system design interval can be expressed as: Where ξ(i,j) takes values ​​in the range [0,1]; Step 45: Calculate the fuzzy interval information ξ(i,j) of evaluation index j, and then calculate the model interval information I of the evaluation index based on the degree of closeness. i (j): I i (j)=log2(exp(1-ξ(i,j))) Step 46: For different design schemes i, the fuzzy interval information content regarding the evaluation index is I. i∑ The calculation process for the total amount of fuzzy interval information of the evaluation index of design scheme i is shown in the following formula: Step 47: According to the information axiom principle of AD theory, the optimal solution is the one with the minimum amount of information.

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