CN110852558B - Computer-aided quality control method for hub production data - Google Patents
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Abstract
The invention provides a computer-aided quality control (CAQC) method of wheel hub production data and a corresponding computer-aided quality control system. By adopting the technical scheme of the invention, the mode that the quality inspection can only be carried out after inspection in the traditional hub manufacturing process is changed, and the process improvement and the online quality control are carried out in the manufacturing process; meanwhile, a computer-aided control system is introduced to find and solve problems in the process improvement and online quality control processes; through a computer-aided control system, production data corresponding to a plurality of complex processes of hub production design can be recorded in detail, and when the production data are abnormal, the production data can be found through production data coding and parameter marking processes, and feedback opinions can be given in time, so that data inspection and tracing can be realized in the production process.
Description
Technical Field
The invention belongs to the technical field of computer assistance, and particularly relates to a computer-aided quality control (CAQC) method for hub production data.
Background
In recent years, with the development of science and technology, the automobile industry in China is developed more and more rapidly, and with the increase of economy, the living standard of people is improved, the demand for automobiles is larger and larger, the automobile output and sales volume is increased year by year, and the corresponding production and manufacturing industries of some automobile parts also show vigorous activity. The automobile hub is an important part in an automobile and also one of the most promising matching products in automobile related products.
The hub, the alias rim, i.e. the part of the tyre inner profile that supports the cylindrical, centrally fitted on the shaft of the tyre. Common automobile hubs include steel hubs and aluminum alloy hubs. The steel hub has high strength and is commonly used for large trucks; however, the steel hub has heavy mass and single appearance, is not in line with the current low-carbon and fashionable concepts, and is gradually replaced by the aluminum alloy hub. At present, most automobile hubs belong to aluminum alloy hubs, and the aluminum alloy hubs have a plurality of advantages and have strong superiority in performance.
The aluminum alloy wheel hub has many types and structures, the requirements of the aluminum alloy wheel hub are different according to vehicle types and vehicle types, but the common requirements of both strength and precision are the most basic. The production method of the aluminum alloy wheel hub mainly comprises a casting method, a forging method, a stamping method, a spinning method and the like. The aluminum alloy wheel hub in China is manufactured mainly by low-pressure casting, and some advanced manufacturing processes are not adopted yet. However, the manufacturing technology of aluminum alloy hubs is continuously developed, and the trend is to extrusion casting (liquid forging) forming and semi-solid forging forming to improve the performance of aluminum alloy hubs.
With the rise of the Internet of things, the traditional manufacturing industry is improved by utilizing the advanced sensing technology, the information technology and the intelligent technology, the production and management modes of enterprises can be innovated, the operation cost is obviously reduced, the transverse integration with the upstream and the downstream can be realized, the advanced supply chain system is adapted, and the significance is great. In order to overcome the problems of complex processing technology, low production efficiency and quality stability, strong production uncertainty, high equipment maintenance difficulty and low production traceability degree in the prior art, the utility model of publication No. CN205920393U provides an internet and information simulation system for a production workshop of a rotary forging aluminum alloy hub, which can manage and optimize the overall production flow by using an informatization means, realize the automation of the whole production management flow from the product order to the product delivery and improve the production efficiency and stability of the product; however, as can be seen from the analysis of the technical scheme, the patent simply applies the general internet of things technology, such as the multi-sensor technology, to the production workshop, and does not realize the computer-aided manufacturing in the true sense; the Chinese patent application with the application number of CN201410639649.8 provides a dynamic visual monitoring system for an automatic aluminum alloy hub forging production line, and provides the dynamic visual monitoring system for the automatic aluminum alloy hub forging production line based on WinCC (Windows communication center) aiming at the problems of more links, complex field conditions and severe environment of the whole production line.
In recent years, Computer technology application is taken as a basis, and Computer Aided Quality Control (CAQC) and a Computer Aided Quality control System (CAQ Computer Aided Quality control System) which are characterized by closely combining advanced Quality control technology, information processing means and modern Quality management methods become organic components in enterprises, form new characteristics of modern Quality management, and play more and more important roles in the aspects of ensuring product Quality of the enterprises, improving enterprise Quality, winning market competition and the like.
However, the prior art does not provide an effective computer-aided quality control scheme for the production and manufacture of automobile hubs.
Disclosure of Invention
In view of the above, the present invention provides a computer-aided quality control (CAQC) method for hub production data and a corresponding computer-aided quality control system. By adopting the technical scheme of the invention, the mode that the quality inspection can only be carried out after inspection in the traditional hub manufacturing process is changed, and the process improvement and the online quality control are carried out in the manufacturing process; meanwhile, a computer-aided control system is introduced to find and solve problems in the process improvement and online quality control processes; through a computer-aided control system, production data corresponding to a plurality of complex processes of hub production design can be recorded in detail, when the production data are abnormal, the production data can be found through production data coding and parameter marking processes, and feedback opinions are given in time, so that data inspection and tracing can be realized in the production process, the production data of all process links from casting, heat treatment, machining, coating to general inspection can be traced in detail, effective process links in the production process of the aluminum alloy hub are effectively traced, and the whole-process data tracing is implemented in the production process. Production efficiency can be promoted, and the abnormal part is tracked in time to take place concrete station.
Specifically, in a first aspect of the present invention, the method for computer-aided quality control (CAQC) of wheel hub production data according to the present invention comprises a data calibration step, a first sampling inspection step, a laser coding step, a mode code identification step, a parameter labeling step, and a feedback prompt step;
furthermore, the computer-aided quality control (CAQC) method for the wheel hub production data can also be used for data tracing in a wheel hub production line.
The data scaling step comprises:
analyzing the production flow of the wheel hub, standardizing parameters related to the processes of casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt holes, central holes, air tightness detection, dynamic balance test, spraying to final inspection and packaging, and matching and storing the standardized parameters and corresponding procedures in a computer-aided quality control system;
the first sample verification step, comprising:
sampling the moulds used by the wheel hub production line, binding the qualified moulds sampled with the calibration data stored by the computer-aided quality control system,
the laser coding step comprises the following steps:
casting the wheel hub casting by using the sampled die according to the standardized marking parameters corresponding to the casting process, and after casting is finished, encoding the standardized marking parameters corresponding to the casting process to form a two-dimensional code;
marking the two-dimensional code at the set position of the spoke of the wheel hub by a laser marking machine;
as a first innovative point of the present invention, the method further includes:
a production process data acquisition step, wherein all production data in the processes of casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt hole, center hole, air tightness detection, dynamic balance test, spraying to final inspection and packaging are acquired and stored in the computer-assisted quality control system together with corresponding procedures;
coding all the production data, and performing module code identification and parameter marking;
the module code identification comprises the step of comparing the coded production data with the standardized marked parameters;
the parameter marking comprises marking the production data which are inconsistent in the module code identification step; a feedback prompting step, wherein the feedback prompting step comprises the following steps:
and aiming at the result marked in the parameter marking step, the computer-aided quality control system sends a feedback prompt.
As a further advantage, wherein after the production data is collected by the production process data collection step, the method includes a second sampling inspection step of sampling-inspecting the production data before storing it and the corresponding process in the computer-aided quality control system.
As a third advantage, the computer-aided quality control (CAQC) method for hub production data is also used for data tracing in a hub production line, the data tracing comprises the following steps:
the first step is as follows: binding the information of the mold number, the operator number and the order number: tracking the mold number in a two-dimensional code form, and inputting record information to the computer-aided quality control system through a code scanner when the production starts;
the second step is that: laser marking: marking a two-dimensional code on the set position of the spoke of the wheel hub casting qualified for casting by a laser marking machine;
furthermore, the marking position of the hub spoke needs to be flat and bright, and no process and technical requirements exist in subsequent machining and paint spraying of the area;
furthermore, the marking information consists of plain code digital information and hidden codes, and the engraved two-dimensional code information must definitely include the information of the whole hub production process;
the third step: collecting production process data: all production data in the process from casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt hole, center hole, air tightness detection, dynamic balance test, spraying to final inspection and packaging are fully collected and stored;
furthermore, the information of the casting process such as process parameters, mold numbers, cooling modes and time, the usage amount of the release agent and the like is traced and stored; storing and feeding back the data to the casting bus PLC through a casting PLC data system;
furthermore, the main parameters of the heat treatment process, such as the solid solution temperature, time, quenching transfer time, quenching water temperature and time, natural aging temperature, artificial aging temperature and time, which influence the product performance, are monitored on line and data are tracked and stored;
further, the data information of the machine tool, the cutter and the processing technology used for numerical control processing is stored and recorded;
further, the whole process of the air tightness detection parameters and the product information is tracked;
further, test parameters and equipment information used in the dynamic balance test are stored and fed back to the machining PLC bus;
furthermore, the information of the process parameters, time and the like of pretreatment, cleaning, powder spraying and paint spraying in the spraying process is monitored on line, and corresponding information is stored and interacted with the spraying bus PLC.
The fourth step: judging production data: the whole process of the wheel hub production data is packaged on line and finally to finish the binding of the bar codes of the packing boxes and the bar codes are fed back to the coating bus PLC;
the fifth step: data storage: feeding back code reading information to a coating PLC master station through packaging, transmitting the received information to a bus PLC by a coating line PLC, further transmitting the information to an industrial personal computer to judge qualified logic, transmitting the information to a database stored in the master station data, transmitting a qualified instruction to an industrial personal computer and simultaneously to the bus PLC, transmitting the instruction to the coating line PLC by the bus PLC, and transmitting an instruction to a final product of a transmission line by the coating line PLC.
Correspondingly, the computer-aided quality control system is in communication connection with the hub production line through a PLC. The wheel hub production line comprises a casting bus, a machining bus, a spraying bus and a coating bus.
The two-dimensional code formed in the laser coding step comprises the information of the production process of the wheel hub.
The parameters related to the heat treatment process comprise solid solution temperature, time, quenching transfer time, quenching water temperature and time, natural aging temperature and artificial aging temperature and time.
The method further comprises the following steps: and carrying out online monitoring on the process parameters and time information of pretreatment, cleaning, powder spraying and paint spraying related to the spraying process, and storing and interacting corresponding information to a spraying bus PLC.
In order to realize the computer-aided quality control (CAQC) method of the wheel hub production data, the invention also provides a corresponding computer-aided quality control system, wherein the computer-aided quality control is connected with the industrial switch and is communicated with the bus PLC; the industrial switch comprises an industrial personal computer data storage device, a bus PLC, a casting bus PLC and a coating bus PLC, wherein the bus PLC is connected with the casting bus PLC and the coating bus PLC; and after the industrial exchanger reads the production data, the computer-aided quality control (CAQC) method of the wheel hub production data is realized.
The bus PLC is also connected with a machining bus PLC, and the machining bus PLC acquires vehicle first sequence/second sequence data and bolt hole machining data and executes air tightness inspection.
The coating bus PLC receives final inspection data and packaging data, and performs data acquisition of pretreatment and powder spraying/paint spraying operation;
the casting bus PLC is connected with a marking control computer and performs data interaction with a casting line and a heat treatment process; the marking control computer is connected with the industrial switch, and data inspection is carried out through the data judgment workstation connected with the industrial switch.
According to the technical scheme, a computer-aided control system is introduced, and problems are found and solved in the process of process improvement and online quality control; through a computer-aided control system, production data corresponding to a plurality of complex processes of hub production design can be recorded in detail, when the production data are abnormal, the production data can be found through production data coding and parameter marking processes, and feedback opinions are given in time, so that data inspection and tracing can be realized in the production process, the production data of all process links from casting, heat treatment, machining, coating to general inspection can be traced in detail, effective process links in the production process of the aluminum alloy hub are effectively traced, and the whole-process data tracing is implemented in the production process. Production efficiency can be promoted, and the abnormal part is tracked in time to take place concrete station.
In the technical effect, the production data of the aluminum alloy hub from casting, heat treatment, machining, coating to general inspection can be clearly tracked in detail, the effective process links in the production process of the aluminum alloy hub are effectively tracked, and the whole-process data tracking is implemented in the production process. Production efficiency can be promoted, and the abnormal part is tracked in time to take place concrete station. The automobile hub production automation system brings good effects to automobile hub production enterprises. On one hand, each product can be identified, and the instant process data for producing the product is imported into a database; on the other hand, accurate data tracing of products of each stroke can be performed, and data support is provided for subsequent procedures and product use.
Further advantages of the present invention will be further apparent from the detailed description of the preferred embodiments in conjunction with the drawings.
Drawings
The novel features believed characteristic of the invention are set forth with particularity in the appended claims. A better understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings of which:
FIG. 1 is a principal flow chart of one embodiment of a computer-aided quality control (CAQC) method of hub production data according to the present invention;
FIG. 2 is a further preferred embodiment of a computer-aided quality control (CAQC) method of hub production data according to the present invention;
FIG. 3 is a flow chart of an embodiment of a data tracing method in the hub production line according to the present invention;
FIG. 4 is a flow chart of a further preferred embodiment of the computer-assisted quality control (CAQC) method of the present invention for data trace back;
FIG. 5 is a block diagram of a signal transmission structure of an aluminum alloy wheel hub production line;
FIG. 6 is a block diagram of an aluminum alloy wheel hub production line incorporating computer-aided quality control (CAQC).
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention.
First, the applicant has conducted long-term market research and has determined that at least the following performance objectives are to be achieved in controlling the production quality target of the wheel hub:
1) the material, shape and size are correct and reasonable, the function of the tire can be fully exerted, the tire is interchangeable with the tire, and the international universality is realized;
2) when the vehicle runs, the longitudinal and transverse runout are small, and the unbalance amount and the inertia moment are small;
3) on the premise of light weight, the composite material has enough strength, rigidity and dynamic stability;
4) good separability with the shaft and the tire;
5) has excellent durability;
6) the manufacturing process can meet the requirements of stable product quality, low cost, multiple varieties, large-scale production and the like.
Through long-term production line observation and fitting data analysis with the wheel hub, the performance target relates to at least the following flows of the wheel hub production line: casting, heat treatment, machining, pretreatment and spraying to package; relevant process parameters include: all production data in the process from casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt hole, center hole, air tightness detection, dynamic balance test, spraying to final inspection and packaging;
therefore, the invention introduces a computer-aided quality control method and a computer-aided quality control system to carry out quality control on the optimized flow and process parameters which are greatly related to the performance target. That is, the above-mentioned preferred process flow and process parameters are important components of the invention.
Referring to fig. 1, the computer-aided quality control (CAQC) method for hub production data in this embodiment includes a data calibration step, a first sampling inspection step, a laser coding step, a module code identification step, a parameter labeling step, and a feedback prompt step;
specifically, based on the preferred flow and process parameters of the important components of the present invention, the data scaling step in this embodiment includes:
analyzing the production flow of the wheel hub, standardizing parameters related to the processes of casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt holes, central holes, air tightness detection, dynamic balance test, spraying to final inspection and packaging, and matching and storing the standardized parameters and corresponding procedures in a computer-aided quality control system;
standardized labeling can be carried out in various ways, and in the invention, the corresponding format and parameters are preferably set according to performance target control parameters;
the first sample verification step, comprising:
sampling the moulds used by the wheel hub production line, and binding the qualified moulds sampled with the calibration data stored by the computer-aided quality control system;
the quality control of the die is the first step of the whole quality control, so the sampling qualification of the die must be ensured firstly; the basis of this embodiment begins with sampling of qualified molds;
certainly, if the mould sampling is unqualified, the mould sampling needs to be recorded in a CAQC system for feedback prompt;
the laser coding step comprises the following steps:
casting the wheel hub casting by using the sampled die according to the standardized marking parameters corresponding to the casting process, and after casting is finished, encoding the standardized marking parameters corresponding to the casting process to form a two-dimensional code;
marking the two-dimensional code at the set position of the spoke of the wheel hub by a laser marking machine; the engraved two-dimensional code information must definitely include the information of the whole hub production process;
correspondingly, the subsequent machining and paint spraying of the set positions of the spokes have no process and technical requirements;
as a first aspect embodying the innovative points of the present invention, the method further comprises:
a production process data acquisition step, wherein all production data in the processes of casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt hole, center hole, air tightness detection, dynamic balance test, spraying to final inspection and packaging are acquired and stored in the computer-assisted quality control system together with corresponding procedures;
coding all the production data, and performing module code identification and parameter marking;
the module code identification comprises the step of comparing the coded production data with the standardized marked parameters;
the parameter marking comprises marking the production data which are inconsistent in the module code identification step;
a feedback prompting step, wherein the feedback prompting step comprises the following steps:
and aiming at the result marked in the parameter marking step, the computer-aided quality control system sends a feedback prompt.
Referring to fig. 2, a further preferred embodiment of a computer-aided quality control (CAQC) method of the wheel hub production data of the present invention based on fig. 1;
in this embodiment, after the production data is collected by the production process data collection step and before it and the corresponding process are stored in the computer-aided quality control system, the method includes a second sampling inspection step of sampling-checking the production data.
Whether production data collection is qualified is another aspect of determining whether quality control is accurate. If the format or range of the acquired data has obvious problems, the subsequent CAQC process is not mentioned; therefore, sampling inspection is needed to be carried out on the product in the production process, if the product is qualified, the next step is carried out, and otherwise, the production process needs to be restarted;
in fig. 1-2, the method comprises:
the computer-aided quality control system is in communication connection with the hub production line through a PLC;
the wheel hub production line comprises a casting bus, a machining bus, a spraying bus and a coating bus.
The two-dimensional code formed in the laser coding step comprises the information of the production process of the wheel hub.
Parameters related to the heat treatment process comprise solid solution temperature, time, quenching transfer time, quenching water temperature and time, natural aging temperature and artificial aging temperature and time;
and the technological parameters and time information of pretreatment, cleaning, powder spraying and paint spraying related to the spraying process are monitored on line, and corresponding information is stored and interacted to a spraying bus PLC.
Referring next to fig. 3, fig. 3 is a flowchart of an embodiment of a data tracing method in a wheel hub production line according to the present invention.
As an important component of the technical scheme, the aluminum alloy hub production comprises a plurality of procedures of casting, heat treatment, machining, pretreatment, spraying, packaging and the like, in the prior art, the data of the cast aluminum alloy hub is filled in and counted in a paper order form, and the actual production data of each link is recorded in the hub by beating numerical values in a steel seal form. The mode is complex in form and complicated in process, and once a product has an abnormal problem in a certain process, a link of the problem can not be basically found; the method is undoubtedly a great loss for aluminum alloy hub manufacturing enterprises, and therefore, the whole process tracing and problem tracing are realized for the aluminum alloy hub production process by introducing the data tracing method.
The data tracing method for the wheel hub production line comprises the following steps:
the first step is as follows: binding the information of the mold number, the operator number and the order number: tracking the mold number in a two-dimensional code mode, and inputting record information to the mold number through a code scanner when the production starts;
the second step is that: laser marking: marking a two-dimensional code on the set position of the spoke of the wheel hub casting qualified for casting by a laser marking machine;
furthermore, the marking position of the hub spoke needs to be flat and bright, and no process and technical requirements exist in subsequent machining and paint spraying of the area;
furthermore, the marking information consists of plain code digital information and hidden codes, and the engraved two-dimensional code information must definitely include the information of the whole hub production process;
the third step: collecting production process data: all production data in the process from casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt hole, center hole, air tightness detection, dynamic balance test, spraying to final inspection and packaging are fully collected and stored;
furthermore, the information of the casting process such as process parameters, mold numbers, cooling modes and time, the usage amount of the release agent and the like is traced and stored; storing and feeding back the data to the casting bus PLC through a casting PLC data system;
furthermore, the main parameters of the heat treatment process, such as the solid solution temperature, time, quenching transfer time, quenching water temperature and time, natural aging temperature, artificial aging temperature and time, which influence the product performance, are monitored on line and data are tracked and stored;
further, the data information of the machine tool, the cutter and the processing technology used for numerical control processing is stored and recorded;
further, the whole process of the air tightness detection parameters and the product information is tracked;
further, test parameters and equipment information used in the dynamic balance test are stored and fed back to the machining PLC bus;
furthermore, the information of the process parameters, time and the like of pretreatment, cleaning, powder spraying and paint spraying in the spraying process is monitored on line, and corresponding information is stored and interacted with the spraying bus PLC.
The fourth step: judging production data: the whole process of the wheel hub production data is packaged on line and finally to finish the binding of the bar codes of the packing boxes and the bar codes are fed back to the coating bus PLC;
the fifth step: data storage: feeding back code reading information to a coating PLC master station through packaging, transmitting the received information to a bus PLC by a coating line PLC, further transmitting the information to an industrial personal computer to judge qualified logic, transmitting the information to a database stored in the master station data, transmitting a qualified instruction to an industrial personal computer and simultaneously to the bus PLC, transmitting the instruction to the coating line PLC by the bus PLC, and transmitting an instruction to a final product of a transmission line by the coating line PLC.
Referring to fig. 4, a flow chart of a further preferred embodiment of the computer-assisted quality control (CAQC) method of the present invention for data tracing is shown. On the basis of fig. 3, each flow of data tracing is stored by the computer-aided quality control system and compared with the standardized and labeled parameters; labeling the production data with inconsistent comparison;
in fig. 4, a third sampling inspection step is introduced at the important node of production data acquisition;
whether production data collection is qualified is another aspect of determining whether quality control is accurate. If the format or range of the acquired data has obvious problems, the subsequent CAQC process is not mentioned; therefore, sampling inspection is needed to be carried out on the product in the production process, if the product is qualified, the next step is carried out, and otherwise, the production process needs to be restarted;
referring to fig. 5, a signal transmission structure block diagram of an aluminum alloy wheel hub production line is determined based on the optimized flow and process parameters of the important components of the invention.
Wherein, the industrial exchanger is communicated with the bus PLC; the industrial switch comprises an industrial personal computer data storage device, a bus PLC, a casting bus PLC and a coating bus PLC, wherein the bus PLC is connected with the casting bus PLC and the coating bus PLC; and the production data related to the aluminum alloy hub production process is collected and then stored in the industrial personal computer data storage device, and after the industrial exchanger reads the production data, the computer-aided quality control system is utilized to realize computer-aided quality Control (CAQT).
Referring to fig. 6, a block diagram of an aluminum alloy wheel hub production line incorporating computer-aided quality control (CAQC). The computer-aided quality control is connected with the industrial switch and communicated with the bus PLC; the industrial switch comprises an industrial personal computer data storage device, a bus PLC, a casting bus PLC and a coating bus PLC, wherein the bus PLC is connected with the casting bus PLC and the coating bus PLC; and collecting the production data related to the aluminum alloy hub production process and storing the collected production data in the industrial personal computer data storage device.
As can be seen from fig. 2, 4 and 6, the technical solution of the present invention fully embodies the process improvement of the quality control method for eliminating the possibility of generating quality defects, and the process improvement quality control method is completely different from the conventional quality inspection method (post inspection), and it is to ensure that the quality characteristics of the product are within the specified range by eliminating the cause of process variation and stabilizing the process, thereby achieving the purpose of quality control. Process improvement is a positive method of controlling product quality and is also the most direct way to control product quality. As it eliminates the source of process variations.
Meanwhile, the invention realizes the online quality control by the production data acquisition and sampling. Referring to fig. 1-6, in contrast to the prior art, an online quality control method performs online quality data acquisition and online adjustment of process parameters. The on-line quality data acquisition completes the collection of process information and product information, and the process information and the product information are sent to the control computer through signal preprocessing and a data interface. And the computer makes a decision for adjusting the process parameters according to the relation between the quality characteristics and the process parameters, and then the controller completes the adjustment of the process parameters through the execution element to realize the online quality control.
In summary, the technical scheme of the invention introduces a computer-aided control system to find and solve problems in the process improvement and online quality control; through a computer-aided control system, production data corresponding to a plurality of complex processes of hub production design can be recorded in detail, when the production data are abnormal, the production data can be found through production data coding and parameter marking processes, and feedback opinions are given in time, so that data inspection and tracing can be realized in the production process, the production data of all process links from casting, heat treatment, machining, coating to general inspection can be traced in detail, effective process links in the production process of the aluminum alloy hub are effectively traced, and the whole-process data tracing is implemented in the production process. Production efficiency can be promoted, and the abnormal part is tracked in time to take place concrete station.
In the technical effect, the production data of the aluminum alloy hub from casting, heat treatment, machining, coating to general inspection can be clearly tracked in detail, the effective process links in the production process of the aluminum alloy hub are effectively tracked, and the whole-process data tracking is implemented in the production process. Production efficiency can be promoted, and the abnormal part is tracked in time to take place concrete station. The automobile hub production automation system brings good effects to automobile hub production enterprises. On one hand, each product can be identified, and the instant process data for producing the product is imported into a database; on the other hand, accurate data tracing of products of each stroke can be performed, and data support is provided for subsequent procedures and product use.
While preferred embodiments of the present invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous modifications, changes, and substitutions will now occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed in practicing the invention. It is intended that the following claims define the scope of the invention and that methods and structures within the scope of these claims and their equivalents be covered thereby.
Claims (9)
1. A computer-aided quality control (CAQC) method for hub production data comprises a data calibration step, a first sampling inspection step, a laser coding step, a module code identification step, a parameter labeling step and a feedback prompting step; the method is characterized in that:
the data scaling step comprises:
analyzing the production flow of the wheel hub, standardizing parameters related to the processes of casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt holes, central holes, air tightness detection, dynamic balance test, spraying to final inspection and packaging, and matching and storing the standardized parameters and corresponding procedures in a computer-aided quality control system;
the first sample verification step, comprising:
sampling the moulds used by the wheel hub production line, binding the qualified moulds sampled with the calibration data stored by the computer-aided quality control system,
the laser coding step comprises the following steps:
casting the wheel hub casting by using the sampled die according to the standardized marking parameters corresponding to the casting process, and after casting is finished, encoding the standardized marking parameters corresponding to the casting process to form a two-dimensional code;
marking the two-dimensional code at the set position of the spoke of the wheel hub by a laser marking machine;
the method further comprises:
a production process data acquisition step, wherein all production data in the processes of casting, mold stripping, riser treatment, heat treatment process, numerical control first sequence/second sequence, bolt hole, center hole, air tightness detection, dynamic balance test, spraying to final inspection and packaging are acquired and stored in the computer-assisted quality control system together with corresponding procedures;
coding all the production data, and performing module code identification and parameter marking;
the module code identification comprises the step of comparing the coded production data with the standardized marked parameters;
the parameter marking comprises marking the production data which are inconsistent in the module code identification step;
the feedback prompting step comprises the following steps:
and aiming at the result marked in the parameter marking step, the computer-aided quality control system sends a feedback prompt.
2. The method of claim 1, wherein after the production data is collected by the production process data collection step and before it is stored with the corresponding process steps in the computer-aided quality control system, the method includes a second sampling inspection step of sampling-inspecting the production data.
3. The method of claim 1, wherein the computer-assisted quality control system is communicatively coupled to the wheel hub production line via a PLC.
4. The method of claim 3, wherein the wheel hub production line comprises a casting bus, a machining bus, a spray coating bus, a paint coating bus.
5. The method of claim 1, wherein the two-dimensional code formed by the laser coding step includes process information for the wheel hub production process.
6. The method of claim 1, wherein the heat treatment process involves parameters including solution temperature, time, quenching transfer time, quenching water temperature and time, natural aging, artificial aging temperature and time.
7. The method as claimed in claim 4, wherein the process parameters and time information of pretreatment, cleaning, powder spraying and paint spraying related to the spraying process are monitored on line, and the corresponding information is stored and interacted with the spraying bus PLC.
8. A computer-aided quality control system for aluminum alloy hub production is disclosed, wherein the computer-aided quality control system is connected with an industrial switch and is communicated with a bus PLC; the industrial switch comprises an industrial personal computer data storage device, a bus PLC, a casting bus PLC and a coating bus PLC, wherein the bus PLC is connected with the casting bus PLC and the coating bus PLC; the production data related to the aluminum alloy hub production process are collected and stored in the industrial personal computer data storage device, and after the industrial exchanger reads the production data, the computer-aided quality control system is utilized to realize the computer-aided quality Control (CAQT) method of any one of claims 1 to 7.
9. The computer-aided quality control system of claim 8, wherein the bus PLC is further connected to a machining bus PLC which collects vehicle first/second order data and bolt hole machining data and performs a gas tightness check.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111427324B (en) * | 2020-04-23 | 2021-05-04 | 滨州戴森车轮科技有限公司 | Hub production monitoring system and method |
| CN113298449B (en) * | 2021-07-27 | 2021-12-14 | 深圳润符新材料科技有限公司 | Waterproof coating quality inspection analysis system based on internet |
| CN113510234B (en) * | 2021-09-14 | 2022-01-07 | 深圳市信润富联数字科技有限公司 | Quality monitoring method and device for low-pressure casting of hub and electronic equipment |
| WO2023163247A1 (en) * | 2022-02-24 | 2023-08-31 | 주식회사 동국정공 | Ict fusion-type tension pulley manufacturing system |
| CN114418472A (en) * | 2022-04-01 | 2022-04-29 | 深圳市信润富联数字科技有限公司 | Product quality management method, system, terminal device and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105931129A (en) * | 2016-05-20 | 2016-09-07 | 太仓鼎诚电子科技有限公司 | Computer CIMS integrated manufacturing system |
| CN106250066A (en) * | 2016-08-24 | 2016-12-21 | 内蒙古华唐伟业再生资源有限公司 | A kind of forging rotation aluminium alloy wheel hub Product Data Management system |
| CN106295936A (en) * | 2015-05-29 | 2017-01-04 | 深圳镭博万科技有限公司 | Wheel hub type identification device and wheel hub mark system for tracing and managing |
| CN106371410A (en) * | 2016-08-31 | 2017-02-01 | 天津立中车轮有限公司 | Wheel hub processing track management mechanism |
| CN107598128A (en) * | 2017-09-23 | 2018-01-19 | 安徽福斯特铝制品股份有限公司 | The manufacturing process of high-effect wheel hub mold |
| CN109283891A (en) * | 2017-07-19 | 2019-01-29 | 内蒙古华唐伟业再生资源有限公司 | A kind of intelligence wheel hub machining system and technique |
| CN208848085U (en) * | 2018-09-29 | 2019-05-10 | 滨州戴森车轮科技有限公司 | A kind of wheel hub mark system for tracing and managing |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7327869B2 (en) * | 2004-06-21 | 2008-02-05 | The Boeing Company | Computer aided quality assurance software system |
| US20060129270A1 (en) * | 2004-12-10 | 2006-06-15 | Gerold Pankl | Processes and systems for creation of machine control for specialty machines requiring manual input |
| CN106270559A (en) * | 2016-08-31 | 2017-01-04 | 安徽恒意硬面工程股份有限公司 | A kind of vertical lathe working (machining) efficiency maximization approach based on critical path method |
| CN106483942B (en) * | 2016-09-20 | 2019-06-04 | 孙敬玺 | A kind of intelligence control system and method for semiconductor manufacturing facility and technique |
| CN107844648A (en) * | 2017-11-03 | 2018-03-27 | 江苏科技大学 | A kind of threedimensional model size marking completeness inspection method |
| CN208051168U (en) * | 2018-03-27 | 2018-11-06 | 滨州戴森车轮科技有限公司 | A kind of full-automatic identity device of wheel hub |
| CN110120036A (en) * | 2019-04-17 | 2019-08-13 | 杭州数据点金科技有限公司 | A kind of multiple dimensioned tire X-ray defect detection method |
-
2019
- 2019-09-24 CN CN201910904895.4A patent/CN110852558B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295936A (en) * | 2015-05-29 | 2017-01-04 | 深圳镭博万科技有限公司 | Wheel hub type identification device and wheel hub mark system for tracing and managing |
| CN105931129A (en) * | 2016-05-20 | 2016-09-07 | 太仓鼎诚电子科技有限公司 | Computer CIMS integrated manufacturing system |
| CN106250066A (en) * | 2016-08-24 | 2016-12-21 | 内蒙古华唐伟业再生资源有限公司 | A kind of forging rotation aluminium alloy wheel hub Product Data Management system |
| CN106371410A (en) * | 2016-08-31 | 2017-02-01 | 天津立中车轮有限公司 | Wheel hub processing track management mechanism |
| CN109283891A (en) * | 2017-07-19 | 2019-01-29 | 内蒙古华唐伟业再生资源有限公司 | A kind of intelligence wheel hub machining system and technique |
| CN107598128A (en) * | 2017-09-23 | 2018-01-19 | 安徽福斯特铝制品股份有限公司 | The manufacturing process of high-effect wheel hub mold |
| CN208848085U (en) * | 2018-09-29 | 2019-05-10 | 滨州戴森车轮科技有限公司 | A kind of wheel hub mark system for tracing and managing |
Non-Patent Citations (1)
| Title |
|---|
| 轿车轮毂质量信息集成方法及其实现技术研究;王燕红;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20041215(第04期);第C035-128页 * |
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