CN108405696B - Intelligent spinning system and spinning processing method - Google Patents
Intelligent spinning system and spinning processing method Download PDFInfo
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- CN108405696B CN108405696B CN201810118099.3A CN201810118099A CN108405696B CN 108405696 B CN108405696 B CN 108405696B CN 201810118099 A CN201810118099 A CN 201810118099A CN 108405696 B CN108405696 B CN 108405696B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21D—WORKING OR PROCESSING OF SHEET METAL OR METAL TUBES, RODS OR PROFILES WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21D22/00—Shaping without cutting, by stamping, spinning, or deep-drawing
- B21D22/14—Spinning
- B21D22/16—Spinning over shaping mandrels or formers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B30—PRESSES
- B30B—PRESSES IN GENERAL
- B30B15/00—Details of, or accessories for, presses; Auxiliary measures in connection with pressing
- B30B15/26—Programme control arrangements
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- Numerical Control (AREA)
- Shaping Metal By Deep-Drawing, Or The Like (AREA)
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Abstract
The invention discloses an intelligent spinning system and a spinning processing method, wherein the system comprises an automatic programming system, a spinning data processing system and a spinning processing system, wherein the automatic programming system acquires original data of a workpiece to be processed, and generates a processing program after the original data is processed and optimized through a spinning data model in an intelligent spinning database; the machine tool control system controls the action of the machine tool according to the machining program; monitoring working parameters of the machine tool during operation by a spinning process monitoring system; the part size detection system detects the size information of the machined workpiece in real time; the data interaction system of the Internet of things sends the working parameters and the size information of each machine tool to an intelligent spinning database; the intelligent spinning database establishes a spinning data model, receives and stores the working parameters and the size information to obtain working data of each machine tool, optimizes the spinning data model according to the working data, and carries out system updating on an automatic programming system; the effect is as follows: the workpiece processing programming can be completely finished under the condition of no human intervention.
Description
Technical Field
The invention relates to the field of plastic processing and forming of metal materials, in particular to an intelligent spinning system and a spinning processing method.
Background
In modern society, numerical control spinning processing is increasingly widely used as an important method for obtaining high-precision hollow revolving body parts, and particularly becomes an indispensable advanced processing method in the civil field. However, the lack of programming technicians for machining large-size and complex parts is serious in the existing numerical control spinning machine tool machining at home and abroad, and meanwhile, the manual programming of the numerical control spinning machine tool is boring, tedious, very complicated, easy to make mistakes, difficult to remember instructions, and even if quite abundant experiences exist, a satisfactory machine tool machining program can be obtained after repeated tests, which is the biggest problem which puzzles the customers for using the spinning equipment in China at present.
Disclosure of Invention
In order to solve the problems, the invention provides an intelligent spinning system and a spinning processing method, and solves the defect that manual programming is needed in the prior art.
The invention adopts a technical scheme that: an intelligent spinning system comprises a machine tool and a machine tool control system, and further comprises an automatic programming system, a spinning process monitoring system, a part size detection system, an internet of things data interaction system and an intelligent spinning database; wherein:
the automatic programming system is used for acquiring original data of a workpiece to be processed, processing and optimizing the original data through a spinning data model in an intelligent spinning database and then generating a processing program;
the machine tool control system is used for controlling the action of the machine tool according to the machining program;
the spinning process monitoring system is used for monitoring working parameters of the machine tool during operation and feeding the working parameters back to the machine tool control system;
the part size detection system is used for detecting the size information of the machined workpiece in real time and feeding the size information back to the machine tool control system and the automatic programming system;
the data interaction system of the Internet of things is used for sending working parameters and size information of all the machine tools to the intelligent spinning database;
the intelligent spinning database is used for establishing a spinning data model, receiving and storing the working parameters and the size information to obtain working data of each machine tool, optimizing the spinning data model in real time according to the working data, and updating an automatic programming system.
In one embodiment, the raw data includes CAD drawings, material of the workpiece, hardness, and punch size.
In one embodiment, the machining procedures include a clamping die line machining procedure and a spinning machining procedure;
the clamping die molded line machining program is used for machining a workpiece spinning die;
the spinning program is used for spinning of a workpiece.
In one embodiment, the operating parameters include voltage, current, temperature, pressure, deformation, noise, speed, position, and rotational speed parameters of the machine tool.
The other technical scheme adopted by the invention is as follows: an intelligent spinning processing method is applied to the intelligent spinning system, and the method comprises the following steps:
acquiring original data of a workpiece to be machined, processing and optimizing the original data through a spinning data model in an intelligent spinning database, and generating a machining program;
controlling the action of the machine tool according to the machining program;
monitoring working parameters of the machine tool during operation, and feeding the working parameters back to a machine tool control system;
detecting the size information of the machined workpiece in real time, and feeding the size information back to a machine tool control system and an automatic programming system;
the working parameters and the size information of each machine tool are sent to an intelligent spinning database;
and establishing a spinning data model, receiving and storing the working parameters and the size information to obtain working data of each machine tool, optimizing the spinning data model in real time according to the working data, and performing system updating on an automatic programming system.
In one embodiment, the machining process includes a clamping die line machining process and a spinning machining process.
According to the intelligent spinning system and the spinning processing method, the original data of the workpiece to be processed is obtained, the original data is processed and optimized through the spinning data model in the intelligent spinning database, the processing program is automatically generated, various parameters and information are continuously monitored in the processing process of the workpiece and are transmitted to the machine tool control system, the automatic programming system and the intelligent spinning database, so that the spinning data model is continuously optimized and a better processing program is generated in the processing process, the automatic programming is realized, the program debugging time is saved, and the corresponding working efficiency is improved.
Drawings
Fig. 1 is a system block diagram of an intelligent spinning system according to an embodiment of the present invention;
fig. 2 is a flowchart of an intelligent spinning method according to an embodiment of the present invention.
Detailed Description
To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following detailed description is made with reference to the accompanying drawings and specific embodiments, it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and the description herein does not mean that all the subject matter corresponding to the specific examples set forth in the embodiments is cited in the claims.
Referring to fig. 1, fig. 1 provides an intelligent spinning system for an embodiment of the present invention, which includes a machine tool, a machine tool control system, an automatic programming system, a spinning process monitoring system, a part size detection system, an internet of things data interaction system, and an intelligent spinning database; wherein:
the automatic programming system is used for acquiring original data of a workpiece to be processed, processing and optimizing the original data through a spinning data model in an intelligent spinning database and then generating a processing program;
the machine tool control system is used for controlling the action of the machine tool according to the machining program;
the spinning process monitoring system is used for monitoring working parameters of the machine tool during operation and feeding the working parameters back to the machine tool control system;
the part size detection system is used for detecting the size information of the machined workpiece in real time and feeding the size information back to the machine tool control system and the automatic programming system;
the data interaction system of the Internet of things is used for sending working parameters and size information of all the machine tools to the intelligent spinning database;
the intelligent spinning database is used for establishing a spinning data model, receiving and storing the working parameters and the size information to obtain working data of each machine tool, optimizing the spinning data model in real time according to the working data, and updating an automatic programming system.
Further, the original data comprises a CAD drawing, the material, the hardness and the punching size of the workpiece.
Further, the machining program comprises a clamping die molded line machining program and a spinning machining program;
the clamping die molded line machining program is used for machining a workpiece spinning die;
the spinning program is used for spinning of a workpiece.
Further, the operating parameters include voltage, current, temperature, pressure, deformation, noise, speed, position and rotational speed parameters of the machine tool.
By the intelligent spinning system, the data of CAD drawing of the workpiece to be processed, the material, hardness, punching size and the like of the workpiece are obtained, after being processed and optimized by a spinning data model in an intelligent spinning database, a processing program is automatically generated, and various parameters and information are continuously monitored in the processing process of the workpiece and are transmitted to a machine tool control system, an automatic programming system and an intelligent spinning database, so that the spinning data model is continuously optimized in the processing process to generate a better processing program, while realizing automatic programming, the utility model also saves the time of program debugging, improves the corresponding work efficiency, and with the continuous progress of the production process, the data capacity in the intelligent spinning database is increased by geometric orders of magnitude, and the spinning data model is continuously optimized, so that the application effect of the equipment and the intelligent processing level of the equipment are improved.
The embodiment of the invention also provides an intelligent spinning processing method which is realized based on the intelligent spinning system.
Fig. 2 is a flowchart of an intelligent spinning method according to an embodiment of the present invention, and as shown in fig. 2, the method includes the following steps:
s101, acquiring original data of a workpiece to be machined, processing and optimizing the original data through a spinning data model in an intelligent spinning database, and generating a machining program;
specifically, in this embodiment, the automatic programming system is configured to obtain original data of a workpiece to be processed, the obtaining mode may be a mode of obtaining data of a CAD drawing of the workpiece, a material, a hardness, a punching size, and the like of the workpiece by manual input or an automatic scanning mode, and call a spinning data model in the intelligent spinning database in a wired or wireless mode to perform processing and optimization, and then generate a processing program in the automatic programming system.
S102, controlling the action of the machine tool according to the machining program;
specifically, in this embodiment, after the machine tool control system passes through the system self-check, the machine tool control system controls the corresponding tool action of the machine tool according to the generated machining program.
S103, monitoring working parameters of the machine tool during operation, and feeding the working parameters back to a machine tool control system;
specifically, in this embodiment, the spinning process monitoring system is configured to monitor operating parameters of the machine tool during operation, including voltage, current, temperature, pressure, deformation, noise, speed, position, and rotation speed parameters of the machine tool, and to adjust the operation of the machine tool and the adjustment of the machining program in time by monitoring these parameters, and to stop the machining operation of the machine tool if necessary.
S104, detecting the size information of the machined workpiece in real time, and feeding the size information back to a machine tool control system and an automatic programming system;
specifically, in this embodiment, the part size detection system is used for detecting the size information of the machined workpiece in real time, and when a certain error is monitored, the information can be timely transmitted to the intelligent spinning database through the internet of things data interaction system, and the machining program is optimized by using the spinning data model, so that the generation of scrapped workpieces is prevented in advance.
S105, sending the working parameters and the size information of each machine tool to an intelligent spinning database;
specifically, in this embodiment, the data interaction system of the internet of things summarizes various data of each machine tool into the intelligent spinning database for storage and information interaction between each system and the intelligent spinning database in a wired or wireless manner.
And S106, establishing a spinning data model, receiving and storing the working parameters and the size information to obtain working data of each machine tool, optimizing the spinning data model in real time according to the working data, and performing system updating on an automatic programming system.
Specifically, in this embodiment, the intelligent spinning database is used for establishing a spinning data model, continuously optimizing the spinning data model according to working data obtained during machining by a machine tool, systematically updating the automatic programming system, and further generating a better machining program for subsequent workpieces to be processed, so that the number of times of program trial run and the time of repeated tests are reduced, the working efficiency is improved, and excessive dependence on programming technicians is reduced.
Further, the machining program comprises a clamping mold type line machining program and a spinning machining program.
Specifically, the clamping die profile processing program trims and processes the die profile according to the size and thickness change of the workpiece after spinning, and automatically generates die processing parameters such as a cutter, speed, feed amount and the like according to the size of the die profile so as to complete the die processing process;
and the spinning program calls a spinning data model in the intelligent spinning database according to the read processing parameters, such as CAD drawing, material, hardness and punching size of the workpiece, size of the molded line die, repositioning parameters of each numerical control shaft and the like, and automatically generates parameters of the spinning program, such as spinning paths, spinning passes, spinning rollers, cutting tools, processing rotating speed, cutting feed amount and the like, so as to complete the spinning process.
By the scheme, the effects of workpiece processing programming, die processing, spinning processing, part detection, program optimization and cloud data collection optimization can be completely completed under the condition of no human intervention.
Finally, while the foregoing is directed to the preferred embodiment of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Claims (4)
1. An intelligent spinning system comprises a machine tool and a machine tool control system, and is characterized by further comprising an automatic programming system, a spinning process monitoring system, a part size detection system, an internet of things data interaction system and an intelligent spinning database; wherein:
the automatic programming system is used for acquiring original data of a workpiece to be machined, processing and optimizing the original data through a spinning data model in an intelligent spinning database, and generating a machining program, wherein the machining program comprises a clamping die molded line machining program and a spinning machining program; the clamping die profile machining program is used for machining a workpiece spinning die, the clamping die profile machining program is used for trimming and machining a die profile according to the size and thickness change of the workpiece after spinning, and die machining parameters are automatically generated according to the size of the die profile; the spinning program is used for spinning the workpiece, and a spinning data model in an intelligent spinning database is called according to the read processing parameters to automatically generate spinning program parameters;
the machine tool control system is used for controlling the action of the machine tool according to the machining program;
the spinning process monitoring system is used for monitoring working parameters of the machine tool during operation and feeding the working parameters back to the machine tool control system;
the part size detection system is used for detecting the size information of the machined workpiece in real time and feeding the size information back to the machine tool control system and the automatic programming system;
the data interaction system of the Internet of things is used for sending working parameters and size information of all the machine tools to the intelligent spinning database;
the intelligent spinning database is used for establishing a spinning data model, receiving and storing the working parameters and the size information to obtain working data of each machine tool, optimizing the spinning data model in real time according to the working data, and updating an automatic programming system.
2. The intelligent spinning system of claim 1, wherein the raw data includes CAD drawings, material of the workpiece, hardness, and hole size.
3. The intelligent spinning system of claim 1, wherein said operating parameters include machine voltage, current, temperature, pressure, deformation, noise, speed, position, and rotational speed parameters.
4. An intelligent spinning processing method, applied to the intelligent spinning system according to any one of claims 1 to 3, the method comprising:
acquiring original data of a workpiece to be machined, processing and optimizing the original data through a spinning data model in an intelligent spinning database, and generating a machining program, wherein the machining program comprises a clamping die molded line machining program and a spinning machining program; the clamping die profile machining program is used for machining a workpiece spinning die, the clamping die profile machining program is used for trimming and machining a die profile according to the size and thickness change of the workpiece after spinning, and die machining parameters are automatically generated according to the size of the die profile; the spinning program is used for spinning the workpiece, and a spinning data model in an intelligent spinning database is called according to the read processing parameters to automatically generate spinning program parameters;
controlling the action of the machine tool according to the machining program;
monitoring working parameters of the machine tool during operation, and feeding the working parameters back to a machine tool control system;
detecting the size information of the machined workpiece in real time, and feeding the size information back to a machine tool control system and an automatic programming system;
the working parameters and the size information of each machine tool are sent to an intelligent spinning database;
and establishing a spinning data model, receiving and storing the working parameters and the size information to obtain working data of each machine tool, optimizing the spinning data model in real time according to the working data, and performing system updating on an automatic programming system.
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| CN109808225B (en) * | 2019-03-27 | 2022-02-11 | 广州誉本液压科技有限公司 | Method and system for numerical control pipe pressing |
| CN112904800A (en) * | 2021-01-20 | 2021-06-04 | 山东恒远智能科技有限公司 | Intelligent machine tool optimization method and auxiliary system |
| CN113032859B (en) * | 2021-03-30 | 2024-06-11 | 南通穆伦伯格科技有限公司 | Universal spinning machining program generation method based on dxf drawing import |
| CN114273494A (en) * | 2021-12-20 | 2022-04-05 | 北京航空航天大学 | Intelligent spinning processing control method |
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| CN100343770C (en) * | 2005-09-14 | 2007-10-17 | 山东大学 | Intelligent control system for digital control machine tool and control method thereof |
| DE602007010947D1 (en) * | 2007-10-22 | 2011-01-13 | Eads Deutschland Gmbh | Tool holder and method of producing an incremental film therewith |
| CN101334657B (en) * | 2007-12-20 | 2010-12-15 | 清华大学 | Imaging interactive numerical control turning automatic programming method and system |
| CN101592938A (en) * | 2009-06-30 | 2009-12-02 | 刘文祥 | Numerical control network and various system thereof |
| CN102059635A (en) * | 2010-11-22 | 2011-05-18 | 湖南大学 | Typical part optimized grinding process integrated numerically controlled grinding system |
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