Bicycle aluminum alloy stretch forming method and system

By real-time monitoring and adjustment of the temperature and stress during the aluminum alloy forming process, the problem of uneven mechanical properties of finished products in the prior art is solved, and more efficient production of finished aluminum alloy products is achieved, and production costs are reduced.

CN119140718AInactive Publication Date: 2024-12-17JIANGSU JIDING METAL PROD CO LTD
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Patent Information

Application Number
CN202411656081.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-19
Publication Date
2024-12-17
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing aluminum alloy processing technology lacks real-time monitoring and dynamic adjustment capabilities for temperature and stress distribution during the forming process, resulting in uneven mechanical properties of the finished product, increasing material waste and production costs.

Method used

Infrared sensors and temperature sensors are used to monitor the temperature during aluminum alloy forming, adjust the tensile speed through cycle control and material mechanical model, and optimize the forming parameters in real time to ensure temperature equalization and stress distribution are evenly distributed.

Benefits of technology

It improves the mechanical properties and dimensional accuracy of finished aluminum alloy products, reduces material waste and production costs, and enhances the durability and structural stability of the product.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of aluminum alloy machining, in particular to a bicycle aluminum alloy stretch forming method and system.The bicycle aluminum alloy stretch forming method comprises the following steps that the temperatures of all parts in the bicycle aluminum alloy forming initial stage are monitored through an infrared sensor and a temperature sensor, and a heating element is adjusted according to real-time data to output a matched target temperature range; temperature distribution is circularly controlled according to the adjustment result, temperature balance is adjusted and maintained in real time, and temperature adjustment feedback data is obtained. According to the method, the temperatures of all parts in the initial stage of aluminum alloy forming are monitored and adjusted in real time, accurate matching of the heating process and the target temperature range is ensured, temperature distribution of the whole formed part can be balanced, the consistency of stretch forming and the quality of finished products are improved, and the stretch speed is optimized in real time; the stretch forming effect of aluminum alloy parts with different thicknesses is ensured, the mechanical performance and size accuracy of finished products are improved, forming parameters are dynamically adjusted, and the durability and structural stability of the products are optimized.
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Description

Technical Field

[0001] The invention relates to the technical field of aluminum alloy processing, and in particular to a bicycle aluminum alloy stretching forming method and system. Background Art

[0002] Aluminum alloy processing is an important branch in the field of metal processing, mainly involving various forms of processing using the excellent properties of aluminum alloys such as low density, high strength, excellent conductivity and corrosion resistance, including casting, welding, machining and forming of aluminum alloys, especially forming technologies such as stretch forming, extrusion and stamping. In modern industrial production, the development of aluminum alloy processing technology is constantly optimized to meet the needs of industries such as aerospace, transportation, construction and packaging, and promotes the design concept of lightweight, structural optimization and functional integration.

[0003] Among them, the bicycle aluminum alloy stretching forming method is to stretch and form the aluminum alloy material into specific bicycle parts through mechanical force. The main purpose is to produce lightweight, high-strength bicycle parts, such as frames, handlebars, etc. The use of stretching forming technology can ensure that the parts have good mechanical properties and durability, while also optimizing the overall structural design of the bicycle. It is a common method used in the bicycle manufacturing industry to maximize the use of materials and optimize product performance.

[0004] Existing aluminum alloy processing technologies generally lack the ability to monitor and dynamically adjust the temperature and stress distribution during the forming process in real time. This static processing method may lead to uneven mechanical properties of the finished product. For example, some areas may be insufficient or too hard due to inaccurate temperature control, affecting the overall performance and life. In addition, if the stretching speed is not adjusted in real time, the best forming effect is often not achieved for aluminum alloy parts of different thicknesses, which is particularly unfavorable in fields such as aerospace with high precision requirements. The lack of fine temperature control and stretching speed optimization will also increase material waste and production costs, because unqualified parts need to be reprocessed or scrapped, which has an adverse impact on the production efficiency and product competitiveness of enterprises in the highly competitive industrial market. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a bicycle aluminum alloy stretching forming method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme: a bicycle aluminum alloy stretching forming method, comprising the following steps: S1: Monitor the temperature of all parts of the bicycle aluminum alloy in the initial stage of forming through infrared sensors and temperature sensors, adjust the output of the heating element to match the target temperature range according to real-time data, control the temperature distribution through cycles according to the adjustment results, and adjust in real time to maintain temperature balance, and obtain temperature adjustment feedback data; S2: Analyze the stress response of the bicycle aluminum alloy according to the temperature adjustment feedback data, adjust the stretching speed in combination with the forming force data and the material mechanics model, dynamically optimize the stretching rate of the bicycle aluminum alloy according to the adjustment result, match the aluminum alloy parts with different thicknesses, and obtain the stretching speed optimization configuration result; S3: performing bicycle aluminum alloy forming operations according to the stretching speed optimization configuration result, monitoring the deformation and stress distribution during the forming process, adjusting the forming parameters in real time, and obtaining the forming parameter optimization result; S4: Using the forming parameter optimization results, perform bicycle aluminum alloy quality inspection, evaluate the size and mechanical properties, adjust the forming process according to the evaluation data, match the design standards, and obtain the bicycle aluminum alloy stretch forming plan.

[0007] As a further solution of the present invention, the step of adjusting the output of the heating element is: S111: Use infrared sensors and temperature sensors to collect temperature and calculate the average temperature of all parts of the bicycle aluminum alloy , using the formula,

[0008] Generate average temperature data, where represents the temperature of the i-th measurement point, represents the total number of measurement points, represents the weight factor of the i-th measurement point, which is associated with the position; S112: Calculate the average target temperature by combining the average temperature data The deviation of , using the formula,

[0009] Generate temperature deviation data, where Represents average temperature data, represents the average target temperature, represents temperature deviation, using the square root to increase sensitivity to deviation; S113: According to the temperature deviation data, the output of the heating element is adjusted using the formula:

[0010] Calculate the new heating power , generating adjusted heating element output data, where Represents the original heating power, represents the adjustment factor, Represents the square of temperature deviation and is used to increase sensitivity to deviation.

[0011] As a further solution of the present invention, the step of obtaining the temperature adjustment feedback data is: S121: Using the adjusted heating element output data, adopting cycle control to ensure that the temperature of all parts is balanced, using the formula,

[0012] Generate temperature data after cycle control, where: represents the temperature after cycle control, represents the old temperature, represents the adjusted heating power, represents the time interval, Represents heat capacity.

[0013] S122: Perform real-time adjustment according to the temperature data after the cycle control, using the formula:

[0014] Generates real-time adjusted temperature data, where Represents the adjusted temperature data, represents the target adjustment temperature, represents the adjustment factor, which is used to adjust the accuracy of the adjustment process; S123: Based on the real-time adjusted temperature data, using the formula:

[0015] Calculate and generate temperature regulation feedback data, where: Represents the adjusted temperature data, Represents feedback data.

[0016] As a further solution of the present invention, the stretching speed is adjusted as follows: S211: Calculate the stress response of the aluminum alloy according to the temperature adjustment feedback data, using the formula:

[0017] Generate preliminary stress response data, where Represents temperature control feedback data, represents the stress coefficient, represents the linear growth rate of the temperature coefficient, represents the quadratic growth rate of the temperature coefficient, represents the preliminary calculated stress response of aluminum alloy; S212: Combining the forming force data and the material mechanics model, the preliminary stress response data is adjusted using the formula,

[0018] Generate adjusted stress response data where, Represents the actual forming force of aluminum alloy, Represents the standard forming force of aluminum alloy, represents the stress adjustment factor, represents the adjusted stress response of aluminum alloy; S213: Based on the adjusted stress response data, a new stretching speed is calculated using the formula:

[0019] Output new stretching speed data, where: represents the original stretching speed, represents the primary adjustment coefficient, represents the square root adjustment coefficient, Represents the newly adjusted stretching speed.

[0020] As a further solution of the present invention, the step of obtaining the stretching speed optimization configuration result is: S221: Using the new stretching speed data, adjust the stretching rate to match the aluminum alloy parts with different thicknesses, and apply the formula,

[0021] Get the adjusted stretch rate data ,in, Aluminum Alloy Aluminum Alloy ; S222: According to the adjusted Data, combined with the thickness difference of aluminum alloy, the stretching rate is optimized again, using the formula,

[0022] Generate matching stretch velocity data, where represents the thickness difference adjustment factor, represents the adjustment power index, represents the matching stretching speed; S223: Apply the matching stretching speed data to the production line to match the aluminum alloy production requirements, using the formula:

[0023] Output the stretching speed optimization configuration result, where: Represents the production adjustment coefficient, which is used to adjust the stretching speed to reflect the actual needs of the production line. The coefficient representing the effect of thickness variation on stretching speed, Represents the maximum thickness variation.

[0024] As a further solution of the present invention, the steps for obtaining the forming parameter optimization result are: S311: According to the stretching speed optimization configuration result, the bicycle aluminum alloy forming operation is performed, using the formula:

[0025] Calculate the initial data for the forming operation ,in, represents the forming operation time; S312: Using the initial data of the forming operation, monitoring the deformation and stress distribution during the aluminum alloy forming process, using the formula,

[0026] Get real-time stress distribution data, where is the deformation coefficient, which represents the sensitivity of aluminum alloy deformation to stress response. is the stress distribution coefficient, which is used to adjust the influence of the equipment's ability to distribute stress uniformly. is an exponent of the stress-deformation response, indicating the rate at which stress increases with deformation. Represents stress data monitored in real time; S313: Based on the real-time stress distribution data, the forming parameters are adjusted in real time, using the formula:

[0027] The adjusted forming parameter data is calculated, where is the standard forming parameter, Represents the adjustment coefficient, which adjusts the sensitivity of the parameter. represents the smoothing factor, which is used to prevent excessive parameter adjustments due to extreme stress values. represents the adjusted forming parameters; S314: Based on the adjustment effect of the adjusted molding parameter data, the formula is used:

[0028] The forming parameter optimization results are calculated. ,in, is the enhancement factor, which is used to amplify the effect of the final parameter. It is the depth analysis adjustment coefficient, which adjusts the sensitivity of the optimization results. is the response coefficient, affecting the change in the log term.

[0029] As a further solution of the present invention, the steps for obtaining the bicycle aluminum alloy stretching forming solution are: S411: According to the forming parameter optimization result, the quality inspection of the aluminum alloy is performed using the formula:

[0030] Get the quality inspection results of aluminum alloy ,in, Represents the aluminum alloy density adjustment parameter, is the quality coefficient, is the quality adjustment index, is the adjustment factor used to adjust the effect of density on the result. is the adjustment index of the forming parameter optimization result; S412: Using the quality inspection results of the aluminum alloy, evaluate the size and mechanical properties of the bicycle aluminum alloy, and apply the formula,

[0031] Get dimensional and mechanical performance evaluation results ,in, is the evaluation coefficient, is the power-adjusted index, is the adjustment factor, is the adjustment index of the quality inspection results; S413: Based on the dimensional and mechanical property evaluation results, adjust the aluminum alloy forming process, using the formula,

[0032] Generate adjusted forming process parameters ,in, are the initial forming parameters, is the adjustment factor, is the adjustment index of the evaluation results; S414: Matching the adjusted forming process parameters with the bicycle aluminum alloy design standard, applying the formula,

[0033] The bicycle aluminum alloy stretch forming scheme B is obtained, wherein: They are matching coefficient, optimization index and The adjustment factor and Parameter adjustment index.

[0034] A bicycle aluminum alloy stretching forming system, the system comprising: The temperature data acquisition module collects temperature data, calculates the average temperature of the bicycle aluminum alloy, analyzes the deviation from the target temperature, adjusts the output of the heating element, and generates adjusted heating element output data; The temperature cycle control module performs cycle control based on the adjusted output data of the heating element to ensure that the temperature of all parts is balanced and adjusted in real time, and generates temperature adjustment feedback data; The stress and speed adjustment module calculates the stress response of the aluminum alloy according to the temperature adjustment feedback data, adjusts the data and calculates the new stretching speed in combination with the forming force data and the material mechanics model, adjusts the stretching rate, matches the aluminum alloy parts with different thicknesses and production requirements, and outputs the stretching speed optimization configuration result; The forming operation monitoring module performs bicycle aluminum alloy forming operation based on the stretching speed optimization configuration result, monitors the deformation and stress distribution during the aluminum alloy forming process, adjusts the forming parameters in real time, and obtains the forming parameter optimization result by comprehensively analyzing the adjustment effect; The quality inspection and evaluation module performs quality inspection of the aluminum alloy based on the forming parameter optimization result, evaluates the size and mechanical properties of the bicycle aluminum alloy, adjusts the aluminum alloy forming process, matches it with the bicycle aluminum alloy design standard, and obtains the bicycle aluminum alloy stretch forming plan.

[0035] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by monitoring the temperature of all parts in the initial stage of aluminum alloy forming and adjusting it in real time, it is ensured that the heating process is accurately matched with the target temperature range. The meticulous stretching temperature control can balance the temperature distribution of the entire formed part, improve the material consistency and finished product quality during the stretching forming process, and optimize the stretching speed through real-time data feedback to ensure the stretching forming effect of aluminum alloy parts of different thicknesses, avoid excessive or insufficient stretching, and improve the mechanical properties and dimensional accuracy of the finished product. By dynamically adjusting the forming parameters, the deformation and stress distribution problems in the forming process can be addressed, and the product durability and structural stability can be optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 A flow chart for adjusting the output of the heating element of the present invention; Figure 3 This is a flow chart for obtaining temperature adjustment feedback data of the present invention; Figure 4 This is a flow chart for adjusting the stretching speed of the present invention; Figure 5 A flow chart for obtaining the optimization configuration result of the stretching speed of the present invention; Figure 6 A flowchart for obtaining the forming parameter optimization results of the present invention; Figure 7 The figure is a flow chart for obtaining the bicycle aluminum alloy stretching forming scheme of the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0038] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined. Embodiment 1

[0039] See also Figure 1 The present invention provides a technical solution: a bicycle aluminum alloy stretching forming method, comprising the following steps: S1: Monitor the temperature of all parts of the bicycle aluminum alloy in the initial stage of forming through infrared sensors and temperature sensors, adjust the output of the heating element to match the target temperature range according to real-time data, control the temperature distribution through cycles according to the adjustment results, and adjust in real time to maintain temperature balance, and obtain temperature adjustment feedback data; S2: Analyze the stress response of bicycle aluminum alloy according to the temperature adjustment feedback data, adjust the stretching speed in combination with the forming force data and the material mechanics model, dynamically optimize the stretching rate of bicycle aluminum alloy according to the adjustment results, match the aluminum alloy parts with different thicknesses, and obtain the stretching speed optimization configuration results; S3: According to the optimization configuration result of the stretching speed, the bicycle aluminum alloy forming operation is performed, the deformation and stress distribution during the forming process are monitored, the forming parameters are adjusted in real time, and the forming parameter optimization result is obtained; S4: Use the forming parameter optimization results to conduct bicycle aluminum alloy quality inspection, evaluate the size and mechanical properties, adjust the forming process according to the evaluation data, match the design standards, and obtain the bicycle aluminum alloy stretch forming plan.

[0040] The temperature regulation feedback data includes temperature gradient, regulation response time and stability control indicators. The stretching speed optimization configuration results include speed adjustment parameters, aluminum alloy stress response characteristics and adaptability evaluation results. The forming parameter optimization results include aluminum alloy distribution uniformity analysis results, aluminum alloy defect quantity and strength consistency evaluation results. The bicycle aluminum alloy stretching forming plan includes dimensional qualification rate, mechanical property standard compliance and subsequent processing suggestions.

[0041] See also Figure 2 , the adjustment steps of the heating element output are: S111: Use infrared sensors and temperature sensors to collect temperature and calculate the average temperature of all parts of the bicycle aluminum alloy , using the formula,

[0042] Generate average temperature data, where represents the temperature of the i-th measurement point, represents the total number of measurement points, represents the weight factor of the i-th measurement point, which is associated with the position; S112: Combine the average temperature data and calculate the average target temperature The deviation of , using the formula,

[0043] Generate temperature deviation data, where Represents average temperature data, represents the average target temperature, represents temperature deviation, using the square root to increase sensitivity to deviation; S113: According to the temperature deviation data, the output of the heating element is adjusted using the formula,

[0044] Calculate the new heating power , generating adjusted heating element output data, where Represents the original heating power, represents the adjustment factor, Represents the square of temperature deviation and is used to increase sensitivity to deviation.

[0045] Assume there are 5 measurement points, the temperature at each point is (unit: degrees Celsius) and the corresponding weights as follows:

[0046]

[0047]

[0048]

[0049]

[0050] Calculate the weighted temperature sum:

[0051]

[0052] but:

[0053] 6.26 degrees Celsius represents the average temperature measured by the sensor after weight adjustment. The temperature value is the result of weighted calculation based on the importance of different parts, which is used to more accurately reflect the temperature conditions of aluminum alloy forming.

[0054] Set average target temperature Celsius, calculate and The difference:

[0055] Calculate temperature deviation :

[0056] 4.87 represents the square root deviation between the actual temperature and the target temperature. This deviation value reduces the range of values ​​by taking the square root, making the response when adjusting the heating element more sensitive and precise.

[0057] Set the original heating power (Unit: kWh), adjustment factor .

[0058] Calculate the square of the temperature deviation:

[0059] Adjust the heating power:

[0060] The new power value takes into account the square of the temperature deviation, increases the response to the deviation, makes the heating control more closely correspond to the actual needs, and ensures that the forming temperature of the aluminum alloy is more stable and uniform.

[0061] See also Figure 3 , the steps for obtaining temperature regulation feedback data are: S121: Use the adjusted heating element output data and adopt cycle control to ensure that the temperature of all parts is balanced. Use the formula,

[0062] Generate temperature data after cycle control, where: represents the temperature after cycle control, represents the old temperature, represents the adjusted heating power, represents the time interval, Represents heat capacity.

[0063] S122: According to the temperature data after the cycle control, real-time adjustment is performed using the formula:

[0064] Generates real-time adjusted temperature data, where Represents the adjusted temperature data, represents the target adjustment temperature, represents the adjustment factor, which is used to adjust the accuracy of the adjustment process; S123: Based on the real-time adjusted temperature data, the formula is used:

[0065] Calculate and generate temperature regulation feedback data, where: Represents the adjusted temperature data, Represents feedback data.

[0066] Set old temperature Celsius, new heating power Unit. Set the time interval Minutes (To simplify the calculation, assume The unit is minutes), heat capacity Unit: / degree·minute.

[0067] Calculate the effect of heating power on temperature:

[0068] Update Temperature :

[0069] The new temperature after the cycle control is 153.72 degrees Celsius. The significant temperature increase reflects the effect of heating power and time interval on the temperature under given heat capacity conditions. The new temperature value is obtained by controlling the heating power for a certain period of time and is used to evaluate the effectiveness of the heating system and the rapid responsiveness of the temperature control.

[0070] Set target temperature Celsius, adjustment factor .

[0071] calculate and The difference (plus adjustment factor):

[0072] Adjusted temperature :

[0073] The value is 126.86 degrees Celsius, which indicates the adjusted temperature. This value is still different from the target temperature, but it is closer to the target value through the real-time adjustment mechanism. This temperature adjustment shows the effect of reducing temperature deviation through adjustment factors, allowing the system to more accurately control the final temperature to meet specific process requirements.

[0074] set up .86 degrees Celsius, substitute into the formula:

[0075] A value close to 1 indicates that the temperature regulation feedback data is almost the maximum feedback value, indicating that the temperature has approached or exceeded the expected maximum response threshold of the system, indicating that the system needs to adjust the heating strategy to prevent overheating or maintain it within a safer temperature range.

[0076] See also Figure 4 , the adjustment steps of stretching speed are: S211: Calculate the stress response of aluminum alloy based on the temperature regulation feedback data, using the formula,

[0077] Generate preliminary stress response data, where Represents temperature control feedback data, represents the stress coefficient, represents the linear growth rate of the temperature coefficient, represents the quadratic growth rate of the temperature coefficient, represents the preliminary calculated stress response of aluminum alloy; S212: Combine the forming force data and material mechanics model to adjust the preliminary stress response data, using the formula,

[0078] Generate adjusted stress response data where, Represents the actual forming force of aluminum alloy, Represents the standard forming force of aluminum alloy, represents the stress adjustment factor, represents the adjusted stress response of aluminum alloy; S213: Based on the adjusted stress response data, calculate the new stretching speed using the formula,

[0079] Output new stretching speed data, where: represents the original stretching speed, represents the primary adjustment coefficient, represents the square root adjustment coefficient, Represents the newly adjusted stretching speed.

[0080] Assume the following data exists: : Stress coefficient, which indicates the basic multiple of stress response for every unit increase in temperature.

[0081] : Linear temperature coefficient, describing the direct effect of temperature on stress response.

[0082] : Quadratic temperature coefficient, taking into account the nonlinear effect of temperature changes.

[0083] , directly from the system.

[0084] Calculate the exponential part:

[0085] Use a calculator to find:

[0086] but:

[0087] What you get It is approximately 30867.96, which means that under the current temperature feedback, the predicted initial stress response is 30867.85 units.

[0088] : Actual forming force.

[0089] : Standard forming force.

[0090] : Stress adjustment coefficient, which affects the adjustment of forming force to stress response.

[0091] Calculate the scale factor:

[0092] Compute the logarithmic term: 0.53 Applied to the formula:

[0093] What you get Approx. , which indicates the adjusted stress response after considering the actual forming force. This value is used to adjust the stretching speed in the next step to ensure that the stress response of the aluminum alloy is within a safe and effective range.

[0094] Assumptions m / s, , .

[0095] Compute the exponential term:

[0096]

[0097] but:

[0098] Calculated is the new stretching speed, which is the same as the initial speed, indicating that the stretching speed of aluminum alloy does not need to be adjusted.

[0099] See also Figure 5 , the steps to obtain the stretching speed optimization configuration results are: S221: Use the new stretching speed data to adjust the stretching rate to match the aluminum alloy parts with different thicknesses, and apply the formula,

[0100] Get the adjusted stretch rate data ,in, Aluminum Alloy Aluminum Alloy ; S222: According to the adjusted Data, combined with the thickness difference of aluminum alloy, the stretching rate is optimized again, using the formula,

[0101] Generate matching stretch velocity data, where represents the thickness difference adjustment factor, represents the adjustment power index, represents the matching stretching speed; S223: Apply the matching stretching speed data to the production line to match the aluminum alloy production requirements, using the formula,

[0102] Output the stretching speed optimization configuration result, where: Represents the production adjustment coefficient, which is used to adjust the stretching speed to reflect the actual needs of the production line. The coefficient representing the effect of thickness variation on stretching speed, Represents the maximum thickness variation.

[0103] Assume the following data exists: mm: Standard thickness, representing the standard thickness of aluminum alloy parts under normal circumstances.

[0104] mm: Actual component thickness, represents the actual aluminum alloy component thickness encountered in production.

[0105] : Basic thickness adjustment index, reflecting the basic influence of the ratio of standard thickness to actual thickness on the stretching rate.

[0106] Calculate the exponential effect of the thickness ratio:

[0107] Applied to the formula:

[0108] What you get equal m / s is the stretching rate that is dynamically adjusted after considering the difference between the actual thickness and the standard thickness, indicating that in order to adapt to thinner aluminum alloy parts, the stretching speed needs to be increased accordingly to maintain the uniformity and quality of material processing.

[0109] Assumptions : Adjusts the rate to accommodate small changes in thickness.

[0110] Assumptions : Defines the degree of nonlinearity of the effect of thickness differences.

[0111]

[0112] Compute the nonlinear effects of thickness differences:

[0113] Calculate the matching factor:

[0114] Applied to the formula:

[0115] Calculation results m / s, the adjusted stretching rate more accurately adapts to slight differences in thickness, ensuring accuracy during processing and consistent quality of aluminum alloy parts.

[0116] like , =0.03, =0.5mm.

[0117] Calculate the logarithmic adjustment term:

[0118] Calculate the total adjustment factor:

[0119] Substituting into the formula:

[0120] Calculation results m / s. This indicates that after multiple levels of adjustment, the stretching speed is finely adjusted to meet the actual needs of production, ensuring the efficiency of the production process and the consistency of product quality.

[0121] See also Figure 6 , the steps to obtain the forming parameter optimization results are: S311: Based on the results of the optimal configuration of the stretching speed, the bicycle aluminum alloy forming operation is performed using the formula,

[0122] Calculate the initial data for the forming operation ,in, represents the forming operation time; S312: Using the initial data of the forming operation, the deformation and stress distribution during the forming process of aluminum alloy are monitored, using the formula,

[0123] Get real-time stress distribution data, where is the deformation coefficient, which represents the sensitivity of aluminum alloy deformation to stress response. is the stress distribution coefficient, which is used to adjust the influence of the equipment's ability to distribute stress uniformly. is an exponent of the stress-deformation response, indicating the rate at which stress increases with deformation. Represents stress data monitored in real time; S313: Based on real-time stress distribution data, the forming parameters are adjusted in real time, using the formula,

[0124] The adjusted forming parameter data is calculated, where is the standard forming parameter, Represents the adjustment coefficient, which adjusts the sensitivity of the parameter. represents the smoothing factor, which is used to prevent excessive parameter adjustments due to extreme stress values. represents the adjusted forming parameters; S314: Comprehensively adjust the adjustment effect of the molding parameter data, using the formula,

[0125] The forming parameter optimization results are calculated. ,in, is the enhancement factor, which is used to amplify the effect of the final parameter. It is the depth analysis adjustment coefficient, which adjusts the sensitivity of the optimization results. is the response coefficient, affecting the change in the log term.

[0126] Assumptions (for easy calculation).

[0127] Seconds, the operation time in the initial stage of forming, is set based on previous production experience.

[0128] Substituting into the formula, we get:

[0129] What you get , which means that within the first 5 seconds of the forming operation, the aluminum alloy strip will be stretched 7.5 meters. It is a key data to measure the initial efficiency of the equipment and the response of the material.

[0130] like , , ,but: Calculation of deformation stress part:

[0131] Application index growth rate:

[0132] Apply the stress distribution factor:

[0133] What you get units, indicating that the real-time stress monitored is approximately Units can be used to evaluate the stability and possible stress concentration areas of aluminum alloys during the forming process.

[0134] Units, standard forming parameters, based on machine default settings.

[0135] , adjustment coefficient, expresses the sensitivity of the adjustment parameter.

[0136] , a smoothing factor, is used to prevent excessive parameter adjustments due to extreme stress values.

[0137] Calculate the adjustment factor:

[0138] Apply the adjustment factor:

[0139] Calculate the adjusted forming parameters:

[0140] Adjusted forming parameters Unit, indicating that based on real-time stress data, the forming parameters are adjusted to about , to optimize the aluminum alloy forming process and reduce the risk of material defects.

[0141] , enhancement coefficient, used to amplify the effect of the final parameter.

[0142] , deeply analyze the adjustment coefficient and adjust the sensitivity of the optimization results.

[0143] , the response coefficient, affects the changes in the log items.

[0144] Calculate the response log section:

[0145] Apply in-depth analysis adjustment factor:

[0146] Calculate the optimized forming parameters:

[0147] Apply the enhancement factor:

[0148] Final forming parameter optimization results Unit, indicating that through a series of precise calculations and adjustments, the forming parameters are optimized to improve production efficiency and material quality, It means that the forming process reaches a higher operating standard after optimization.

[0149] See also Figure 7 , the steps to obtain the bicycle aluminum alloy stretch forming plan are: S411: According to the forming parameter optimization results, perform quality inspection of aluminum alloy, using the formula,

[0150] Get the quality inspection results of aluminum alloy ,in, Represents the aluminum alloy density adjustment parameter, is the quality coefficient, is the quality adjustment index, It is an adjustment factor used to adjust the effect of density on the result. is the adjustment index of the forming parameter optimization result; S412: Use the quality inspection results of aluminum alloys to evaluate the size and mechanical properties of bicycle aluminum alloys, and apply the formula,

[0151] Get dimensional and mechanical performance evaluation results ,in, is the evaluation coefficient, is the power-adjusted index, is the adjustment factor, is the adjustment index of the quality inspection results; S413: Adjust the aluminum alloy forming process based on the dimensional and mechanical property evaluation results, using the formula,

[0152] Generate adjusted forming process parameters ,in, are the initial forming parameters, is the adjustment factor, is the adjustment index of the evaluation results; S414: Match the adjusted forming process parameters with the bicycle aluminum alloy design standard and apply the formula,

[0153] The bicycle aluminum alloy stretch forming scheme B is obtained, wherein: They are matching coefficient, optimization index and The adjustment factor and Parameter adjustment index.

[0154] Assumptions: , forming parameter optimization results obtained from the previous optimization process.

[0155] , is the basic multiplier for quality inspection.

[0156] , is applied to An index that indicates the degree of influence on the final quality.

[0157] , is the density adjustment parameter of the material.

[0158] , is the adjustment coefficient, which is used to adjust the effect of density on the result.

[0159] ,yes The adjustment index.

[0160] Calculate the numerator:

[0161] Calculate the denominator:

[0162] Final calculation:

[0163] The quality inspection results obtained It represents the comprehensive quality score of aluminum alloy after considering density and forming parameters optimization.

[0164] , is the basic multiplier for dimensional and mechanical performance evaluation.

[0165] , is applied to The index of .

[0166] , is the adjustment factor.

[0167] ,yes The adjustment index.

[0168] Substitute into the formula to calculate:

[0169]

[0170]

[0171] Dimensional and mechanical performance evaluation results obtained , a high value indicates that the aluminum alloy has good structural integrity and performance meets the expected standards.

[0172] , the original forming parameters.

[0173] , adjustment factor.

[0174] , adjust the index.

[0175] Calculate the exponential part:

[0176] Calculate the adjustment factor:

[0177] but:

[0178] Adjusted forming process parameters This means slightly reducing the original parameters to adapt to the actual material properties and ensure the optimization of the aluminum alloy stretch forming process.

[0179] Assumptions , , , , substitute into the formula and calculate:

[0180]

[0181]

[0182] Final bicycle aluminum alloy stretch forming solution It is shown that after adjusting the parameters, the forming scheme is optimized to better match the design criteria of bicycle aluminum alloy, ensuring product quality and performance.

[0183] A bicycle aluminum alloy stretching forming system, comprising: The temperature data acquisition module collects temperature data, calculates the average temperature of the bicycle aluminum alloy, analyzes the deviation from the target temperature, adjusts the output of the heating element, and generates adjusted heating element output data; The temperature cycle control module performs cycle control based on the adjusted heating element output data to ensure that the temperature of all parts is balanced and adjusted in real time, and generates temperature adjustment feedback data; The stress and speed adjustment module calculates the stress response of aluminum alloy according to the temperature adjustment feedback data, adjusts the data and calculates the new stretching speed in combination with the forming force data and the material mechanics model, adjusts the stretching rate, matches the aluminum alloy parts with different thicknesses and production requirements, and outputs the stretching speed optimization configuration results; The forming operation monitoring module performs bicycle aluminum alloy forming operations based on the stretching speed optimization configuration results, monitors the deformation and stress distribution during the aluminum alloy forming process, adjusts the forming parameters in real time, and obtains the forming parameter optimization results based on the comprehensive adjustment effects; The quality inspection and evaluation module performs quality inspection of aluminum alloys based on the forming parameter optimization results, evaluates the size and mechanical properties of bicycle aluminum alloys, adjusts the aluminum alloy forming process, matches it with the bicycle aluminum alloy design standards, and obtains the bicycle aluminum alloy stretch forming plan.

[0184] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A bicycle aluminum alloy stretching forming method, characterized in that: The following steps are involved: Through infrared sensors and temperature sensors, the temperature of all parts of the bicycle aluminum alloy in the initial stage of forming is monitored, and the output of the heating element is adjusted to match the target temperature range according to real-time data. The temperature distribution is controlled through a cycle according to the adjustment results, and the temperature is adjusted in real time to maintain the temperature balance, and the temperature adjustment feedback data is obtained; According to the temperature adjustment feedback data, the stress response of the bicycle aluminum alloy is analyzed, the stretching speed is adjusted in combination with the forming force data and the material mechanics model, and the stretching rate of the bicycle aluminum alloy is dynamically optimized according to the adjustment result to match the aluminum alloy parts with different thicknesses, so as to obtain the stretching speed optimization configuration result; According to the stretching speed optimization configuration result, the bicycle aluminum alloy forming operation is performed, the deformation and stress distribution during the forming process are monitored, the forming parameters are adjusted in real time, and the forming parameter optimization result is obtained; Using the forming parameter optimization results, the bicycle aluminum alloy quality inspection is carried out to evaluate the size and mechanical properties, and the forming process is adjusted according to the evaluation data to match the design standards to obtain the bicycle aluminum alloy stretch forming plan; The steps for adjusting the output of the heating element are: Use infrared sensors and temperature sensors to collect temperature and calculate the average temperature of all parts of the bicycle aluminum alloy , using the formula, ; Generate average temperature data, where represents the temperature of the i-th measurement point, represents the total number of measurement points, represents the weight factor of the i-th measurement point, which is associated with the position; Combined with the average temperature data, calculate the average target temperature The deviation of , using the formula, ; Generate temperature deviation data, where Represents average temperature data, represents the average target temperature, represents temperature deviation, using the square root to increase sensitivity to deviation; According to the temperature deviation data, the output of the heating element is adjusted, using the formula, ; Calculate the new heating power , generating adjusted heating element output data, where Represents the original heating power, represents the adjustment factor, Represents the square of temperature deviation and is used to increase sensitivity to deviation.

2. The bicycle aluminum alloy stretching forming method according to claim 1, characterized in that: The steps for obtaining the temperature adjustment feedback data are as follows: Using the adjusted heating element output data, adopt cycle control to ensure that the temperature of all parts is balanced, using the formula, ; Generate temperature data after cycle control, where: represents the temperature after cycle control, represents the old temperature, represents the adjusted heating power, represents the time interval, represents heat capacity; According to the temperature data after the cycle control, real-time adjustment is performed using the formula: ; Generates real-time adjusted temperature data, where Represents the adjusted temperature data, represents the target adjustment temperature, Represents the adjustment factor, which is used to adjust the accuracy of the adjustment process; Based on the real-time adjusted temperature data, the formula is used: ; Calculate and generate temperature regulation feedback data, where: Represents the adjusted temperature data, Represents feedback data.

3. The bicycle aluminum alloy stretching forming method according to claim 2, characterized in that: The stretching speed is adjusted as follows: Based on the temperature adjustment feedback data, the stress response of the aluminum alloy is calculated using the formula, ; Generate preliminary stress response data, where Represents temperature regulation feedback data, represents the stress coefficient, represents the linear growth rate of the temperature coefficient, represents the quadratic growth rate of the temperature coefficient, represents the preliminary calculated stress response of aluminum alloy; Combining the forming force data and the material mechanics model, the preliminary stress response data is adjusted using the formula, ; Generate adjusted stress response data where, Represents the actual forming force of aluminum alloy, Represents the standard forming force of aluminum alloy, represents the stress adjustment factor, represents the adjusted stress response of aluminum alloy; Based on the adjusted stress response data, a new stretching velocity is calculated using the formula, ; Output new stretching speed data, where: represents the original stretching speed, represents the primary adjustment coefficient, represents the square root adjustment coefficient, Represents the newly adjusted stretching speed.

4. The bicycle aluminum alloy stretching forming method according to claim 3, characterized in that: The steps for obtaining the stretching speed optimization configuration result are: Using the new stretch speed data, adjust the stretch rate to match the different thickness of the aluminum alloy parts and apply the formula, ; Get the adjusted stretch rate data ,in, Aluminum Alloy Aluminum Alloy ; According to the adjusted Data, combined with the thickness difference of aluminum alloy, the stretching rate is optimized again, using the formula, ; Generate matching stretch velocity data, where represents the thickness difference adjustment factor, represents the adjustment power index, represents the matching stretching speed; The matching stretching speed data is applied to the production line to match the aluminum alloy production requirements, using the formula: ; Output the stretching speed optimization configuration result, where: Represents the actual required stretching speed value, Represents the production adjustment coefficient, which is used to adjust the stretching speed to reflect the actual needs of the production line. The coefficient representing the effect of thickness variation on stretching speed, Represents the maximum thickness variation.

5. The bicycle aluminum alloy stretching forming method according to claim 4, characterized in that: The steps for obtaining the forming parameter optimization results are as follows: According to the stretching speed optimization configuration result, the bicycle aluminum alloy forming operation is performed, using the formula, ; Calculate the initial data for the forming operation ,in, represents the forming operation time; Using the initial data of the forming operation, the deformation and stress distribution during the forming process of the aluminum alloy are monitored, using the formula, ; Get real-time stress distribution data, where is the deformation coefficient, which represents the sensitivity of aluminum alloy deformation to stress response. is the stress distribution coefficient, which is used to adjust the influence of the equipment's ability to distribute stress uniformly. is an exponent of the stress-deformation response, indicating the rate at which stress increases with deformation. Represents stress data monitored in real time; Based on the real-time stress distribution data, the forming parameters are adjusted in real time, using the formula: ; The adjusted forming parameter data is calculated, where is the standard forming parameter, Represents the adjustment coefficient, which adjusts the sensitivity of the parameter. represents the smoothing factor, which is used to prevent excessive parameter adjustments due to extreme stress values. represents the adjusted forming parameters; Based on the adjustment effect of the molding parameter data after adjustment, the formula is adopted: ; The forming parameter optimization results are calculated. ,in, is the enhancement factor, which is used to amplify the effect of the final parameter. It is the depth analysis adjustment coefficient, which adjusts the sensitivity of the optimization results. is the response coefficient, affecting the change in the log term.

6. The bicycle aluminum alloy stretching forming method according to claim 5, characterized in that: The steps for obtaining the bicycle aluminum alloy stretching forming scheme are as follows: According to the forming parameter optimization results, the quality inspection of aluminum alloy is performed, using the formula, ; Get the quality inspection results of aluminum alloy ,in, Represents the aluminum alloy density adjustment parameter, is the quality coefficient, is the quality adjustment index, is the adjustment factor used to adjust the effect of density on the result. is the adjustment index of the forming parameter optimization result; The quality inspection results of the aluminum alloy are used to evaluate the size and mechanical properties of bicycle aluminum alloys. The formula is applied. ; Get dimensional and mechanical performance evaluation results ,in, is the evaluation coefficient, is the power-adjusted index, is the adjustment factor, is the adjustment index of the quality inspection results; Based on the dimensional and mechanical property evaluation results, the aluminum alloy forming process is adjusted using the formula, ; Generate adjusted forming process parameters ,in, are the initial forming parameters, is the adjustment factor, is the adjustment index of the evaluation results; The adjusted forming process parameters are matched with the bicycle aluminum alloy design standard and the formula is applied. ; The bicycle aluminum alloy stretch forming scheme B is obtained, wherein: They are matching coefficient, optimization index and The adjustment factor and Parameter adjustment index.

7. A bicycle aluminum alloy stretching forming system, characterized in that: According to any one of claims 1 to 6, the bicycle aluminum alloy stretching forming method, the system comprises: The temperature data acquisition module collects temperature data, calculates the average temperature of the bicycle aluminum alloy, analyzes the deviation from the target temperature, adjusts the output of the heating element, and generates adjusted heating element output data; The temperature cycle control module performs cycle control based on the adjusted output data of the heating element to ensure that the temperature of all parts is balanced and adjusted in real time, and generates temperature adjustment feedback data; The stress and speed adjustment module calculates the stress response of the aluminum alloy according to the temperature adjustment feedback data, adjusts the data and calculates the new stretching speed in combination with the forming force data and the material mechanics model, adjusts the stretching rate, matches the aluminum alloy parts with different thicknesses and production requirements, and outputs the stretching speed optimization configuration result; The forming operation monitoring module performs bicycle aluminum alloy forming operation based on the stretching speed optimization configuration result, monitors the deformation and stress distribution during the aluminum alloy forming process, adjusts the forming parameters in real time, and obtains the forming parameter optimization result by comprehensively analyzing the adjustment effect; The quality inspection and evaluation module performs quality inspection of the aluminum alloy based on the forming parameter optimization result, evaluates the size and mechanical properties of the bicycle aluminum alloy, adjusts the aluminum alloy forming process, matches it with the bicycle aluminum alloy design standard, and obtains the bicycle aluminum alloy stretch forming plan.

Citation Information

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