Energy consumption prediction method for use in service process of numerically-controlled machine tool

A technology of energy consumption and prediction method, applied in the direction of program control, computer control, general control system, etc., can solve the problems of many influencing factors, prediction of energy consumption of CNC machine tools, and failure to consider the power loss of additional load of machine tools, etc. The application prospect and the effect of the method are simple and easy to implement

Active Publication Date: 2012-08-01

CHONGQING UNIV

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AI-Extracted Technical Summary

Problems solved by technology

Li, W et al. established an energy prediction model under processing conditions, and verified the reliability and accuracy of the model through experiments [3]; Dietmair A et al. proposed a statistically based discrete The general modeling method of machine tool and factory energy consumption formulated by time, this method can be directly used in the planning process to predict the energy consumption of different configurations in different scenarios [4]; but these methods do not take into account the complex nature of machine tools Additional load loss power; Gutowski et al. also conducted a series of analyzes on processing environmental factors and introduced the theoretical energy consumption model of the processing process [5, 6], but he did not define each parameter clearly,...

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Abstract

The invention provides an energy consumption prediction method for use in the service process of a numerically-controlled machine tool specific to the current situation of the lack of an energy consumption prediction method for a numerically-controlled machine tool. In the method, an energy prediction model for use in the service process of a numerically-controlled machine tool based on energy prediction of three types of sub-processes such as starting, idle load and processing on the basis of energy consumption characteristic analysis for the service process of the numerically-controlled machine tool. The energy prediction model for every type of sub-process is resolved respectively, so that an energy consumption prediction result of an entire numerically-controlled machine tool service process is obtained. According to the method, the energy consumption of a machine tool processing process can be predicted directly according to numerical control processing technic parameters.

Application Domain

Programme controlComputer control +1

Technology Topic

Process engineeringPrediction methods +6

Image

Examples

Experimental program(1)

Example Embodiment

[0080] Examples:

[0081] On the C2-6136HK/1 CNC lathe, the method of the present invention is used to predict the energy consumption during its service, and the process is as follows:

[0082] 1) Obtain the basic data of C2-6136HK/1 CNC lathe:

[0083] According to the energy consumption prediction method proposed by the present invention, to predict the energy consumption of any service process of the C2-6136HK/1 CNC lathe with two speeds (Table 1), it is necessary to prepare in advance the start-up process energy consumption function library and empty space. Load process power function library, and solve basic parameters ,.

[0084] Table 1 C2-6136HK/1 CNC lathe parameters

[0085]

[0086] According to the method described in step 3 of the implementation method, select the speed points at all levels, and measure the startup energy consumption as image 3 Shown and fitted to the low-speed gear startup energy consumption function And high-speed start energy consumption function :

[0087]

[0088]

[0089] According to the method described in step 4 of the implementation method, select various speed points, and measure the no-load power such as Figure 4 Shown, and fit the low-speed gear no-load power function And high-speed no-load power function :

[0090]

[0091]

[0092] Since the speed of the CNC machine tool is divided into high speed and low speed, that is, it has two mechanical transmission chains, the machine tool has two sets of basic parameter values: low speed basic parameters , And high-speed basic parameters ,. According to the method described in step 1 of the implementation process, measure multiple sets in low gear and high gear respectively versus Combined with the above The two sets of basic parameter values are fitted as follows:

[0093]

[0094]

[0095] 2) Energy consumption prediction and error comparison

[0096] After obtaining the basic data of the machine tool, the energy consumption of any service process of the machine tool can be predicted. Here, the service process of processing the parts as shown in the figure is selected. The tools and blank materials used in this process are listed in Table 2.

[0097] Table 2 Blank and tool material parameters

[0098]

[0099] According to the processing steps and process parameters in the service process (Table 3), the dimensions of the blank and parts (see attached figure 2 ), the compiled NC program, the entire service process is divided into 12 sub-processes, as shown in Table m.

[0100] Table 3 Process parameters of the service process

[0101]

[0102] Table 4 lists the speed and time of each sub-process, which are used to find data in each function library and participate in the calculation of energy consumption prediction. Since the service process refers to running in a low gear, the relevant data of the low gear is selected when checking the meter.

[0103] Table 4 Detailed table of service process

[0104]

[0105] The speed of the promoter process 1 Substituting into the startup energy consumption function can be obtained.

[0106] Substituting the speed values of the no-load process 2, 4, 6, 7, 9, 10, 12 into the no-load power function, and then the corresponding no-load power is substituted into the no-load energy consumption prediction formula together with each process time in Table m You can get , , , , , ,.

[0107] The rotation speed n, the feed speed f, and the cutting depth of the machining process 3, 5, 8, 11 Substitute the data in Table a into the calculation formula of cutting power, where , And look up the table in the cutting manual to get the coefficients, indexes, and correction coefficients, and get the cutting power of each process.

[0108]

[0109]

[0110]

[0111] The cutting power in the above formula , Based on the calculated low-speed gear basic parameter value with , Substituting the time of each processing sub-process in Table m into the energy prediction formula of the processing process, get , , ,.

[0112] Finally, by adding up the energy consumption of all sub-processes, the total energy consumption of the service process of the processing process can be obtained.

[0113]

[0114] In this process, the total energy consumption of this service is actually measured by the watt-hour meter as , The prediction error is.

[0115] Through the above prediction method and error analysis, it can be seen that the accuracy of energy prediction for the service process of the CNC machine tool by the method of the present invention is relatively high, and the error between the energy consumption measured by the electric meter and the actual service process is basically within 10%, and the The error is mostly random error, and the error value is within the application range, so it has a good reference value in actual work. The method of the invention can be used for machine tool energy efficiency acquisition, energy efficiency evaluation in the machining process, energy consumption monitoring, energy management, machine tool energy consumption calibration, etc., and has broad application prospects in practice.

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ActiveCN102040670ASimple methodLow equipment requirementsCosmetic preparationsToilet preparationsChemistryMethyl group

Owner:FROG PRINCE (FUJIAN) BABY & CHILD CARE PROD CO LTD

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Simple method
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Energy consumption prediction method for use in service process of numerically-controlled machine tool

AI-Extracted Technical Summary

Problems solved by technology

Abstract

Image

Examples

Example Embodiment

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Description & Claims & Application Information

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