A design method and system for additive and subtractive composite processing equipment

Abstract

The present invention provides a design method and system for additive and subtractive composite processing equipment, which relates to the technical field of equipment design. The method comprises: constructing a functional requirement set including multiple functional requirements; decomposing the functional requirements into sub-functional requirements and constructing a functional requirement domain; constructing a module planning diagram and a design parameter table according to the functional requirement domain; constructing an engineering expression diagram according to the module planning diagram; generating a preliminary plan according to the engineering expression diagram; constructing a connection matrix according to the preliminary plan; converting the connection relationship between modules in the connection matrix into a probability form and constructing a module information table; determining an uncertainty index according to the module information table; improving weak modules according to the uncertainty index; constructing a design processing parameter matrix according to the design parameter table; constructing an actual processing parameter matrix according to the preliminary plan; determining a degree of inclusion according to the design processing parameter matrix and the actual processing parameter matrix; improving the connection relationship between modules according to the degree of inclusion and generating a final plan.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment design, and in particular to a design method and system for additive and subtractive composite processing equipment. Background Art

[0002] With growing user and market demand for additive and subtractive composite equipment, designers are faced with the challenge of meeting these demands at lower design costs. Simultaneously, the development trend of additive and subtractive composite equipment is shifting from mass production to mass customization. Users are increasingly demanding personalized performance, functionality, and adaptability, placing higher demands on the flexibility and efficiency of equipment design.

[0003] In the existing technology, the design method of additive and subtractive composite processing equipment mainly relies on demand matching and modular design. The design method of adaptability to demand has not been considered, and there is a lack of quantitative calculation methods for the adaptability between design schemes and demand. Summary of the Invention

[0004] In order to solve the technical problems that the existing design methods of additive and subtractive composite processing equipment mainly rely on demand matching and modular design, the design method of adaptability to demand has not been considered, and there is a lack of quantitative calculation methods for the adaptability between design schemes and demand, the present invention provides a design method and system for additive and subtractive composite processing equipment.

[0005] The technical solutions provided by the embodiments of the present invention are as follows:

[0006] First aspect:

[0007] An embodiment of the present invention provides a design method for additive and subtractive composite processing equipment, comprising:

[0008] S1: Constructing a functional requirement set for additive and subtractive composite processing equipment, wherein the functional requirement set includes multiple functional requirements;

[0009] S2: Decompose each functional requirement into sub-functional requirements and construct a functional requirement domain;

[0010] S3: constructing a module planning diagram and a design parameter table according to the functional requirement domain, wherein the module planning diagram includes multiple modules constituting the additive and subtractive composite processing equipment;

[0011] S4: constructing an engineering expression diagram according to the module planning diagram, wherein the engineering expression diagram includes connection relationships between the modules;

[0012] S5: generating a preliminary design scheme for additive and subtractive composite processing equipment based on the connection relationship between the modules in the engineering expression diagram;

[0013] S6: constructing a connection matrix according to the connection relationship between the modules in the preliminary design scheme of the additive and subtractive composite processing equipment;

[0014] S7: Convert the connection relationship between the modules in the connection matrix into a probability form and construct a module information table;

[0015] S8: determining the uncertainty index of the connection relationship between each module according to the module information table;

[0016] S9: determining weak modules in the preliminary design of the additive and subtractive composite machining equipment according to the uncertainty index, and improving the weak modules;

[0017] S10: constructing a design processing parameter matrix according to the design parameter table;

[0018] S11: constructing an actual processing parameter matrix according to the preliminary design plan of the additive and subtractive composite processing equipment;

[0019] S12: determining the inclusion degree of the processing parameters according to the designed processing parameter matrix and the actual processing parameter matrix;

[0020] S13: improving the connection relationship between the modules in the preliminary design scheme of the additive and subtractive composite processing equipment according to the degree of inclusion, and generating a final design scheme of the additive and subtractive composite processing equipment.

[0021] Second aspect:

[0022] An embodiment of the present invention provides a design system for additive and subtractive composite processing equipment, comprising: a memory and one or more processors;

[0023] One or more application programs are stored in the memory, and the one or more application programs are suitable for being executed by the one or more processors to implement the above-mentioned design method for additive and subtractive composite processing equipment.

[0024] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0025] In the present invention, by determining the uncertainty index of the connection relationship between each module, based on the uncertainty index, the weak modules are determined for improvement, and by determining the degree of inclusion of the processing parameters, based on the degree of inclusion, the connection relationship between the modules is improved to generate the final design scheme of the additive and subtractive composite processing equipment. It no longer relies on traditional demand matching and modular design, but innovatively introduces a design method for demand adaptability, and covers the quantitative calculation method of the adaptability between the design scheme and demand. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0027] Figure 1 A schematic flow chart of a design method for additive and subtractive composite processing equipment provided by an embodiment of the present invention;

[0028] Figure 2 A schematic diagram of the structure of a functional requirement domain provided by an embodiment of the present invention;

[0029] Figure 3 A schematic structural diagram of a design system for additive and subtractive composite processing equipment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0031] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0032] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0033] Reference Manual Figure 1 , which shows a flow chart of a design method for additive and subtractive composite processing equipment provided by an embodiment of the present invention.

[0034] An embodiment of the present invention provides a method for designing additive and subtractive composite machining equipment. This method can be implemented by a device for designing additive and subtractive composite machining equipment, which can be a terminal or a server. The process flow of the method for designing additive and subtractive composite machining equipment may include the following steps:

[0035] S1: Construct a functional requirement set for additive and subtractive composite processing equipment, which includes multiple functional requirements.

[0036] Specifically, the customer requirements are analyzed to construct the functional requirement set FR = {FR1, FR2, ...} of the additive and subtractive composite processing equipment. The functional requirement set includes multiple functional requirements, where FR represents the functional requirement set, FR i Represents the i-th functional requirement.

[0037] It should be noted that each functional requirement is independent of each other.

[0038] In this invention, the independence of functional requirements allows each function to be analyzed and optimized independently, avoiding complex cross-functional interactions. When functional requirements are independent, each function can be modularized and implemented or modified independently within the system. This independence ensures that changes to one function will not affect other functions during future maintenance and upgrades, thereby improving the maintainability and flexibility of the system.

[0039] Reference Manual Figure 2 , which shows a structural diagram of a functional requirement domain provided by an embodiment of the present invention.

[0040] S2: Decompose each functional requirement into sub-functional requirements and construct a functional requirement domain.

[0041] In this invention, decomposing functional requirements into sub-functional requirements helps refine and clarify the specific requirements of each function. This avoids overly general or vague design requirements, allowing designers to more clearly understand the implementation details of each function and ensure that the system design meets specific requirements. After decomposing the function into sub-functional requirements, designers can independently optimize each sub-function. The relative independence of optimization and adjustment for each sub-function effectively prevents modifications to one functional requirement from affecting other components, thereby improving design flexibility and efficiency.

[0042] S3: According to the functional requirement domain, a module planning diagram and a design parameter table are constructed respectively. The module planning diagram includes multiple modules that constitute the additive and subtractive composite processing equipment.

[0043] In the present invention, constructing a module planning diagram helps to modularize the various components of the additive and subtractive composite processing equipment, so that the function, structure and role of each module can be clearly demonstrated. Modular design facilitates management and development, can effectively avoid the complexity of the system, and ensures the independence and interoperability of each module. The module planning diagram can be used as a design framework. In the later design, if a certain module or function needs to be modified or optimized, it is only necessary to modify the design of the corresponding module without affecting the design of the entire system. This modular approach can reduce the difficulty of later modifications and improve the flexibility of the design.

[0044] S4: Based on the module planning diagram, construct an engineering expression diagram, which includes the connection relationship between each module.

[0045] Optionally, the engineering expression diagram includes: the routes of material flow, information flow and energy flow of the additive and subtractive composite processing equipment, the specific components of the modules, the combination method between each module, the input and output relationship of the modules, and the switching instructions of different processing functions.

[0046] In the present invention, the engineering expression diagram clearly shows the connection relationship and workflow between each module in a graphical way. It not only helps designers to fully understand the system architecture, but also makes the input, output and mutual relationship of each module clear at a glance. Through the engineering expression diagram, designers can quickly identify the functions and interconnection methods of each module in the system, so as to effectively carry out overall design and optimization. The engineering expression diagram clarifies the connection relationship and function of each module, which helps to ensure that different modules can work together effectively. Especially in complex additive and subtractive composite processing equipment, multiple modules need to collaborate to complete different functions at the same time. The engineering expression diagram can help the design team optimize the coordination between modules and improve the overall effectiveness and work efficiency of the system.

[0047] S5: Generate a preliminary design plan for additive and subtractive composite processing equipment based on the connection relationship between each module in the engineering expression diagram.

[0048] In the present invention, the engineering diagram clearly defines the connection relationship and interaction between each module. Based on these connection relationships, a preliminary design scheme is generated to ensure that all modules can be coordinated and consistent during the design, avoiding functional conflicts or omissions between modules during the design.

[0049] S6: Construct a connection matrix based on the connection relationship between each module in the preliminary design scheme of the additive and subtractive composite processing equipment.

[0050] In this invention, the connection matrix quantifies the connection relationships between modules in a matrix format, providing a very intuitive and clear display of the inter-module relationships. This approach avoids complex graphical or textual descriptions. Through digital representation, designers can quickly understand whether and how modules are connected, greatly improving the readability and comprehensibility of the design. The connection matrix can help designers analyze the interconnectivity and structure between modules, thereby optimizing the system's module layout, reducing redundant connections, and improving overall design efficiency.

[0051] In a possible implementation, S6 specifically includes:

[0052] Construct the connection matrix according to the following formula:

[0053]

[0054] Among them, C represents the connection matrix, c ij Represents the connection relationship between the i-th module and the j-th module, n represents the total number of modules, where c ij =1, it means that there is a connection relationship between the i-th module and the j-th module. ij =0, it means that there is no connection relationship between the i-th module and the j-th module.

[0055] It should be noted that when i=j, c ij =1, when i≠j, c ij =1 or 0.

[0056] In this invention, this connection matrix structure can be easily extended to other applications. This convention can be retained when the system is modified or new modules are added in the future, ensuring that the self-connections of all modules are not overlooked. Regardless of the scale of the system, the matrix construction method remains consistent, helping to ensure the versatility and flexibility of the design method.

[0057] S7: Convert the connection relationship between each module in the connection matrix into a probability form and construct a module information table.

[0058] In this paper, the inter-module connectivity relationships in the connectivity matrix are converted into probabilistic form, which can quantify the uncertainty in system design. The 0s and 1s in the connectivity matrix simply indicate the existence of a connection. By converting these values ​​into probabilistic form, designers can more accurately assess the strength or reliability of the connections between modules. This probabilistic form of connectivity helps assess the robustness of the system.

[0059] In a possible implementation, converting the connection relationship between modules in the connection matrix into a probability form in S7 specifically includes:

[0060] The probability that there is no connection between modules is determined according to the following formula:

[0061]

[0062] Among them, p0 represents the probability that there is no connection relationship between modules, x0 represents the number of times 0 appears, and x1 represents the number of times 1 appears.

[0063] The probability of a connection relationship between modules is determined according to the following formula:

[0064]

[0065] Among them, p1 represents the probability that there is a connection relationship between each module.

[0066] In the present invention, converting the connection relationship into a probabilistic form can clearly quantify the uncertainty of the connection relationship between modules. In the actual design and manufacturing process, the connection relationship between modules is often not absolutely certain and may be affected by external factors or the operating status of the system. By calculating the probability of the existence and non-existence of the connection, designers can more accurately evaluate the reliability and stability of the connection between each module. When faced with different working conditions or requirements, the connection between modules may change. By using probability to describe the connection relationship, designers can flexibly adjust the connection method and strength between modules, thereby improving the adaptability and flexibility of the equipment.

[0067] S8: Determine the uncertainty index of the connection relationship between each module according to the module information table.

[0068] In this invention, determining the uncertainty index of connection relationships helps quantify uncertainty in system design. In practical applications, the connections between modules may not be completely reliable or stable, but may fluctuate or change. By calculating the uncertainty index, designers can quantitatively understand the reliability of the connections between modules, thereby conducting more accurate analysis and assessment of system stability.

[0069] In a possible implementation, S8 specifically includes:

[0070] The uncertainty index of the connection relationship between modules is determined according to the following formula:

[0071]

[0072] Where H represents the uncertainty index, p k Indicates the probability of the connection relationship between each module.

[0073] In this invention, by calculating the uncertainty index, designers can make optimization decisions based on the data. For example, if the uncertainty index of certain modules is high, it means that there may be potential risks in the connection of these modules. Designers can prioritize improving the design of these modules to enhance their reliability or stability, thereby optimizing the overall performance of the system. Calculating the uncertainty index helps enhance the reliability of the system. High uncertainty usually means that the connection between modules may be prone to errors. Designers can reduce the risk of failure by improving the design of these modules. This helps ensure that the system maintains high stability under different operating conditions.

[0074] S9: Based on the uncertainty index, determine the weak modules in the preliminary design of the additive and subtractive composite processing equipment and improve the weak modules.

[0075] It's important to note that the calculation of the uncertainty index H of module connections aims to quantify the stability and reliability of these connections. The magnitude of H can be used to identify weak modules in the system. A higher H indicates a more sensitive and unstable connection, a weaker ability to adapt to changing requirements, and the need for more improvements and upgrades when requirements change, potentially leading to higher design costs. By analyzing the H value, designers can identify module connections with the highest uncertainty index and deem the associated modules weak.

[0076] Optionally, to improve the weak modules, the module solution should be improved, including redesigning the structure of the weak modules or combining the weak modules.

[0077] In the present invention, the larger the uncertainty index, the more unstable the connection relationship between modules and the weaker the adaptability of the modules. By identifying these weak modules and improving them, the stability between modules and the reliability of the overall system can be enhanced. Optimizing these weak modules can ensure that the system performs more stably and efficiently in complex or changing working environments. Identifying and improving weak modules can significantly improve the adaptability of the system. Higher uncertainty usually means that the module cannot flexibly respond to changing working conditions or environments. By redesigning or combining these weak modules, the system can better cope with different operating environments and improve the flexibility and responsiveness of the system.

[0078] S10: Construct a design processing parameter matrix according to the design parameter table.

[0079] It should be noted that the design parameter table includes: multiple design processing parameters and multiple processing functions.

[0080] In this invention, by constructing a design and processing parameter matrix, multiple design and processing parameters and processing functions can be systematically organized. This matrix approach helps designers clearly understand the design parameters required for each processing function, avoiding parameter confusion or omissions. It presents all design parameters in a structured form, improving the organization and operability of the design.

[0081] In a possible implementation, S10 specifically includes:

[0082] According to the following formula, the design processing parameter matrix is ​​constructed:

[0083]

[0084] Among them, V * represents the design processing parameter matrix, represents the value range of the j-th design processing parameter of the additive and subtractive composite equipment under the i-th processing function, m represents the total number of processing functions, t * Indicates the total number of design processing parameters.

[0085] In this invention, the design processing parameter matrix provides a clear relationship between each processing function and its corresponding design parameter. Through this matrix structure, designers can easily understand the design parameter requirements of different processing functions and clearly grasp how the parameters affect each function. This facilitates better coordination and optimization of multiple parameters and functions during the design process. The value range of each design processing parameter for different processing functions is separately listed, providing designers with great flexibility.

[0086] S11: Construct the actual processing parameter matrix based on the preliminary design plan of the additive and subtractive composite processing equipment.

[0087] In this invention, the design parameters defined in the preliminary design are theoretical values, while the actual processing parameter matrix reflects the parameters used in actual operation based on the actual equipment operating conditions, environmental changes, and process requirements. This helps ensure consistency between design and actual operation, avoids deviations between design and actual production, and improves the actual working performance of the system.

[0088] In a possible implementation, S11 specifically includes:

[0089] According to the following formula, the actual processing parameter matrix is ​​constructed:

[0090]

[0091] Among them, V represents the actual processing parameter matrix, v ij It represents the value range of the jth actual processing parameter of the additive and subtractive composite equipment under the i-th processing function, m represents the total number of processing functions, and t represents the total number of actual processing parameters.

[0092] In this invention, by constructing an actual processing parameter matrix, designers can adjust and optimize the equipment's processing parameters in real time. The data in the matrix provides the specific value ranges for the parameters under each processing function. Parameter adjustments based on this data ensure optimal performance under different processing modes, improving overall processing efficiency and product quality. The actual processing parameter matrix provides a clear framework for real-time monitoring and adjustment of the equipment. Based on the data in the matrix, operators can monitor the actual parameter status of each processing function and quickly adjust any deviations or issues to ensure a stable and compliant processing process.

[0093] S12: Determine the degree of inclusion of the processing parameters according to the design processing parameter matrix and the actual processing parameter matrix.

[0094] In this invention, by determining the degree of inclusion of processing parameters, designers can quantify the degree of match between the designed processing parameters and the actual processing parameters. This degree of inclusion reflects whether the actual processing process strictly complies with the design requirements, thereby helping to evaluate the effectiveness of the design solution. If the degree of inclusion between the designed and actual parameters is high, it indicates a good fit between the design and the actual operation; otherwise, further design adjustments or optimization operations may be required.

[0095] In a possible implementation, S12 specifically includes:

[0096] The degree of inclusion of processing parameters is determined according to the following formula:

[0097]

[0098] Among them, a ij represents the degree of inclusion of the jth processing parameter of the additive and subtractive composite equipment under the i-th processing function, v ij It represents the value range of the jth actual processing parameter of the additive and subtractive composite equipment under the i-th processing function, It represents the value range of the j-th design processing parameter of the additive and subtractive composite equipment under the i-th processing function, and || represents the absolute value.

[0099] It should be noted that in terms of parameter configuration, although the actual processing parameters of the additive and subtractive composite processing equipment are guaranteed to be within the value range of the designed processing parameters, considering the needs of assembly and processing manufacturing, the value range of the actual processing parameters often cannot fully meet the value range of the designed processing parameters, but rather serves as a subset of the designed processing parameters. Therefore, the adaptability of the additive and subtractive composite processing equipment can be calculated by the degree of inclusion of the parameter set. Specifically, the closer the value range of the actual processing parameters is to the value range of the designed processing parameters, the more processing scenarios it can meet and the stronger its adaptability to various needs.

[0100] In the present invention, when the range of actual processing parameters is completely or close to the range of designed processing parameters, the equipment can operate efficiently in more processing environments and scenarios. Calculating the degree of parameter inclusion helps assess whether the equipment can adapt to various changes in working conditions and ensure that it can operate stably under different operating conditions. By calculating the degree of inclusion, designers can identify which processing functions have significant differences between the actual parameters and the designed parameters, and then discover potential problems that may cause unstable or inconsistent processing. This provides data support for improving equipment design and processing processes, ensuring a more stable and accurate processing process.

[0101] S13: According to the degree of inclusion, the connection relationship between each module in the preliminary design scheme of the additive and subtractive composite processing equipment is improved to generate a final design scheme of the additive and subtractive composite processing equipment.

[0102] It should be noted that the smaller the degree of inclusion, the weaker the adaptability of the actual processing parameters, and the weaker the adaptability of the connection relationship of the actual processing parameters under the corresponding processing function.

[0103] Optionally, the structure of the connection interface between the modules is improved. For example, in the actual processing process, the stroke height during CNC processing is related to the connection relationship between the CNC module and the X-axis module. The connection form of the CNC module and the X-axis module is improved, mainly by improving the structure of the interface connecting the two modules.

[0104] In this invention, by adjusting the connection relationships between modules based on the degree of inclusion, designers can ensure that the equipment can adapt to a wider range of processing requirements. A low degree of inclusion means that the connection relationships or processing parameters of some modules may not meet the design requirements in actual operation. Therefore, by optimizing these connection relationships, the equipment can be more adaptable to different processing conditions and requirements, making the equipment more flexible and capable of handling a wider range of work scenarios. By improving the connection relationships, especially by optimizing the structure of the connection interfaces between weak modules, potential failure points in the system can be reduced.

[0105] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0106] In the present invention, by determining the uncertainty index of the connection relationship between each module, based on the uncertainty index, the weak modules are determined for improvement, and by determining the degree of inclusion of the processing parameters, based on the degree of inclusion, the connection relationship between the modules is improved to generate the final design scheme of the additive and subtractive composite processing equipment. It no longer relies on traditional demand matching and modular design, but innovatively introduces a design method for demand adaptability, and covers the quantitative calculation method of the adaptability between the design scheme and demand.

[0107] Reference Manual Figure 3 , which shows a structural schematic diagram of a design system for additive and subtractive composite processing equipment provided by the present invention.

[0108] The present invention further provides a design system 30 for additive and subtractive composite machining equipment, comprising: a memory 303 and one or more processors 301 .

[0109] One or more application programs are stored in the memory 303 , and the one or more application programs are suitable for being executed by the one or more processors 301 to implement the design method of the additive and subtractive composite processing equipment described in the method embodiment.

[0110] The design system 30 for additive and subtractive composite machining equipment includes a processor 301 and a memory 303 . The processor 301 and the memory 303 are connected, for example, via a bus 302 .

[0111] The structure of the design system 30 for additive and subtractive composite machining equipment does not constitute a limitation on the embodiments of the present invention.

[0112] Processor 301 may be a CPU, a general-purpose processor, a DSP, an ASIC, an FPGA, or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the present disclosure. Processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0113] Bus 302 may include a path for transmitting information between the aforementioned components. Bus 302 may be a PCI bus or an EISA bus, for example. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, the figure shows only one thick line, but this does not indicate that there is only one bus or only one type of bus.

[0114] The memory 303 can be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, or an EEPROM, a CD-ROM or other optical disk storage, an optical disc storage (including a compact disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0115] It should be noted that the design system 30 for additive and subtractive composite processing equipment can implement the above-mentioned design method for additive and subtractive composite processing equipment and can achieve the same or similar technical effects. To avoid repetition, the present invention will not elaborate on it.

[0116] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0117] In the present invention, by determining the uncertainty index of the connection relationship between each module, based on the uncertainty index, the weak modules are determined for improvement, and by determining the degree of inclusion of the processing parameters, based on the degree of inclusion, the connection relationship between the modules is improved to generate the final design scheme of the additive and subtractive composite processing equipment. It no longer relies on traditional demand matching and modular design, but innovatively introduces a design method for demand adaptability, and covers the quantitative calculation method of the adaptability between the design scheme and demand.

[0118] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which can be loaded and executed by a processor to implement the design method for the additive and subtractive composite processing equipment described in the first aspect.

[0119] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

[0120] There are a few points to note:

[0121] (1) The drawings of the embodiments of the present invention only relate to the structures related to the embodiments of the present invention. Other structures may refer to conventional designs.

[0122] (2) For the sake of clarity, the thickness of layers or regions in the drawings used to describe the embodiments of the present invention are exaggerated or reduced, that is, these drawings are not drawn to scale. It is understood that when an element such as a layer, film, region, or substrate is referred to as being "on" or "under" another element, the element may be "directly" "on" or "under" the other element or intervening elements may be present.

[0123] (3) In the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to form new embodiments.

[0124] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A design method for additive and subtractive composite processing equipment, characterized in that: include: S1: Constructing a functional requirement set for additive and subtractive composite processing equipment, wherein the functional requirement set includes multiple functional requirements; S2: Decompose each functional requirement into sub-functional requirements and construct a functional requirement domain; S3: constructing a module planning diagram and a design parameter table according to the functional requirement domain, wherein the module planning diagram includes multiple modules constituting the additive and subtractive composite processing equipment; S4: constructing an engineering expression diagram according to the module planning diagram, wherein the engineering expression diagram includes connection relationships between the modules; S5: generating a preliminary design scheme for additive and subtractive composite processing equipment based on the connection relationship between the modules in the engineering expression diagram; S6: constructing a connection matrix according to the connection relationship between the modules in the preliminary design scheme of the additive and subtractive composite processing equipment; S7: Convert the connection relationship between the modules in the connection matrix into a probability form and construct a module information table; S8: determining the uncertainty index of the connection relationship between each of the modules according to the module information table; S9: determining weak modules in the preliminary design of the additive and subtractive composite machining equipment according to the uncertainty index, and improving the weak modules; S10: constructing a design processing parameter matrix according to the design parameter table; S11: constructing an actual processing parameter matrix according to the preliminary design plan of the additive and subtractive composite processing equipment; S12: determining the inclusion degree of the processing parameters according to the designed processing parameter matrix and the actual processing parameter matrix; S13: improving the connection relationship between the modules in the preliminary design scheme of the additive and subtractive composite processing equipment according to the degree of inclusion, and generating a final design scheme of the additive and subtractive composite processing equipment.

2. The design method of additive and subtractive composite processing equipment according to claim 1, characterized in that: The engineering expression diagram includes: the routes of material flow, information flow and energy flow of the additive and subtractive composite processing equipment, the specific components of the modules, the combination method between the modules, the input and output relationship of the modules, and the switching instructions of different processing functions.

3. The design method of additive and subtractive composite processing equipment according to claim 1, characterized in that: The S6 is specifically: Construct the connection matrix according to the following formula: Among them, C represents the connection matrix, c ij Represents the connection relationship between the i-th module and the j-th module, n represents the total number of modules, where c ij =1, it means that there is a connection relationship between the i-th module and the j-th module. ij =0, it means that there is no connection relationship between the i-th module and the j-th module.

4. The design method of additive and subtractive composite processing equipment according to claim 1, characterized in that: The step of converting the connection relationship between the modules in the connection matrix into a probability form specifically includes: The probability that there is no connection between modules is determined according to the following formula: Among them, p0 represents the probability that there is no connection relationship between each module, x0 represents the number of times 0 appears, and x1 represents the number of times 1 appears; The probability of a connection relationship between modules is determined according to the following formula: Among them, p1 represents the probability that there is a connection relationship between each module.

5. The design method of additive and subtractive composite processing equipment according to claim 1, characterized in that: The S8 is specifically: The uncertainty index of the connection relationship between the modules is determined according to the following formula: Where H represents the uncertainty index, p k Indicates the probability of the connection relationship between each module.

6. The design method of additive and subtractive composite processing equipment according to claim 1, characterized in that: The design parameter table includes: a plurality of design processing parameters and a plurality of processing functions.

7. The design method of additive and subtractive composite processing equipment according to claim 6, characterized in that: The S10 is specifically: According to the following formula, the design processing parameter matrix is ​​constructed: Among them, V * represents the design processing parameter matrix, represents the value range of the j-th design processing parameter of the additive and subtractive composite equipment under the i-th processing function, m represents the total number of processing functions, t * Indicates the total number of design processing parameters.

8. The design method of additive and subtractive composite processing equipment according to claim 1, characterized in that: The S11 is specifically: According to the following formula, the actual processing parameter matrix is ​​constructed: Among them, V represents the actual processing parameter matrix, v ij It represents the value range of the jth actual processing parameter of the additive and subtractive composite equipment under the i-th processing function, m represents the total number of processing functions, and t represents the total number of actual processing parameters.

9. The design method of additive and subtractive composite processing equipment according to claim 1, characterized in that: The S12 is specifically: The degree of inclusion of processing parameters is determined according to the following formula: Among them, a ij represents the degree of inclusion of the jth processing parameter of the additive and subtractive composite equipment under the i-th processing function, v ij It represents the value range of the jth actual processing parameter of the additive and subtractive composite equipment under the i-th processing function, It represents the value range of the j-th design processing parameter of the additive and subtractive composite equipment under the i-th processing function, and || represents the absolute value.

10. A design system for additive and subtractive composite processing equipment, characterized in that: include: memory and one or more processors; One or more application programs are stored in the memory, and the one or more application programs are suitable for being executed by the one or more processors to implement the design method of the additive and subtractive composite processing equipment according to any one of claims 1 to 9.

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