KR20160124333A - Method and system for energy consumption estimation on milling process - Google Patents

Method and system for energy consumption estimation on milling process Download PDF

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Publication number
KR20160124333A
KR20160124333A KR1020150054160A KR20150054160A KR20160124333A KR 20160124333 A KR20160124333 A KR 20160124333A KR 1020150054160 A KR1020150054160 A KR 1020150054160A KR 20150054160 A KR20150054160 A KR 20150054160A KR 20160124333 A KR20160124333 A KR 20160124333A
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KR
South Korea
Prior art keywords
power consumption
function
value
milling process
milling
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KR1020150054160A
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Korean (ko)
Inventor
석종원
장덕용
정지현
Original Assignee
중앙대학교 산학협력단
주식회사 남선기공
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Application filed by 중앙대학교 산학협력단, 주식회사 남선기공 filed Critical 중앙대학교 산학협력단
Priority to KR1020150054160A priority Critical patent/KR20160124333A/en
Publication of KR20160124333A publication Critical patent/KR20160124333A/en

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/007—Arrangements for observing, indicating or measuring on machine tools for managing machine functions not concerning the tool
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23C—MILLING
    • B23C9/00—Details or accessories so far as specially adapted to milling machines or cutter
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23C—MILLING
    • B23C2270/00—Details of milling machines, milling processes or milling tools not otherwise provided for

Abstract

The present invention provides a method and a system for estimating power consumed according to the processing conditions during a milling process. The method for estimating power consumption in a milling process, according to an embodiment of the present invention, comprises: a step of loading a process function using the numerical values of one or more preset process conditions among the process conditions applied to the milling process as variables; a step of loading the process function using the power consumption consumed in the milling process as a function value; and a step of drawing a power consumption value by substituting the variables to a process function model.

Description

[0001] METHOD AND SYSTEM FOR ENERGY CONSUMPTION ESTIMATION ON MILLING PROCESS [0002]

The present invention relates to a method and system for predicting power consumed in accordance with machining conditions in a milling process, which is a machining process for cutting a workpiece using a milling cutter with a milling machine.

The milling process determines the consumption of power according to various conditions. Recently, the demand for energy-saving machine tools in the manufacturing industry is expanding. About 25% of annual energy consumption is spent on manufacturing and manufacturing. With the obligation to reduce 5.2% of carbon emissions by 2012, international energy saving certification has been introduced.

In the milling process, the power consumption is measured according to various process conditions to be applied to the milling process, and the energy saving technology of the milling process is being developed.

Korean Unexamined Patent Publication No. 2014-0087807 and Japanese Unexamined Patent Publication No. 2014-140951 disclose techniques for optimizing processing conditions by measuring various conditions at the time of milling. In order to optimize the energy consumption by controlling the supply pressure of the cutting oil or the temperature of the cutting process during the cutting process and controlling the supply pressure of the cutting oil or controlling the cutting speed in order to perform the efficient process Technology.

However, since the above-described techniques control the milling process during the course of the milling process, a separate device such as a sensor for measuring various conditions in the milling process in real time is required, A separate processor and a control mechanism for controlling the apparatus according to a value are required, which is not suitable as an energy saving technique.

Accordingly, the present invention provides a technique that predicts the power consumed according to various conditions applied to the milling process, and processes the process by applying optimized conditions in each milling process without additional configuration, The purpose of this paper is to provide power consumption prediction technique in milling process with substantial energy saving effect.

In order to achieve the above object, a method for predicting power consumption of a milling process according to an embodiment of the present invention is characterized in that, among the process conditions applied in the milling process, numerical values of at least one process condition are set as variables , Loading a process function having a power consumption value consumed in a milling process as a function value; And deriving the power consumption value by substituting the variable into the process function model.

Meanwhile, the power consumption prediction system of the milling process according to an embodiment of the present invention is characterized in that, among the process conditions applied in the milling process, numerical values of at least one process condition are set as variables, A process function management module that stores a process function that uses the power consumption as a function value and loads the process function when the power consumption derivation is requested; And a power consumption prediction module for substituting the variable into the process function model to derive the power consumption value.

According to the present invention, power consumption in various process conditions is not actuated by a process function derived through a meta-modeling technique by substituting a certain condition, and an apparatus such as a separate sensor is added to the tool There is an effect that it can be predicted easily.

Accordingly, it is possible to provide a technique for predicting power consumption in a milling process having substantial energy saving effect, by processing the process by applying optimized conditions in each milling process without a separate additional configuration.

1 and 2 are flowcharts of a method of predicting power consumption in a milling process according to an embodiment of the present invention.
3 is a diagram illustrating a configuration of a power consumption prediction system in a milling process according to an embodiment of the present invention and a functional flow of the system.

Hereinafter, a method and system for predicting power consumption in a milling process according to an embodiment of the present invention will be described with reference to the accompanying drawings.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. The following examples are intended to illustrate the present invention and should not be construed as limiting the scope of the present invention. Accordingly, equivalent inventions performing the same functions as the present invention are also within the scope of the present invention.

In the following description, the same reference numerals denote the same components, and unnecessary redundant explanations and descriptions of known technologies will be omitted.

In the embodiments of the present invention, " communication ", " communication network ", and " network " The three terms refer to wired and wireless local area and wide area data transmission and reception networks capable of transmitting and receiving a file between a user terminal, a terminal of another user, and a download server.

In the following description of the present invention, the milling process is a process in which a machining object such as a milling machine is used and a certain machining object is cut with cutting depth, flow rate, feed speed, lubrication strategy, Process.

On the other hand, the lubrication strategy refers to the supply strategy of the lubrication used to reduce the friction between the cutting tool and the workpiece. A minimum lubrication strategy, referred to as wet lubrication and minimum quantity lubrication (MQL), may be included in the lubrication strategy.

In addition, the power consumption prediction method of the milling process according to each embodiment of the present invention may be implemented as a single program or may be implemented and operated in a specific function derivation program (e.g., MATLAB). Hereinafter, it will be understood that the subject performing the power consumption prediction method of the milling process of the present invention is a terminal or a specific system on which the above-described program or the like is mounted.

1 and 2 are flowcharts of a power consumption predicting method in a milling process according to an embodiment of the present invention.

Referring to FIG. 1, in a method of predicting power consumption in a milling process according to an exemplary embodiment of the present invention, numerical values of at least one process condition, A step (S10) of loading a process function with the power consumption consumed in the milling process as a function value is performed.

At least one predetermined process condition means a process condition in a milling process that can be substituted for predicting the power consumption of the milling process according to an embodiment of the present invention. Also, as mentioned above, the process conditions are toggle information (for example, a lubrication strategy), and a condition that a specific value can be assigned to a variable or a condition that can be substituted into a variable with a certain value (for example, depth of cut, Cutting flow rate).

The above process conditions are conditions that can be selected according to one of the above process conditions as conditions that can be changed in a target milling process in which power consumption is to be predicted.

When the process function is loaded, step S20 is performed in which variables for the process conditions are respectively substituted into the process function model to derive the power consumption value.

By performing the step S20, it is possible to predict the power consumption using only the process function without directly measuring the power consumption by directly operating the milling machine or the like, only by substituting the numerical values for the process conditions .

In step S20, various output values for the power consumption prediction can be derived using the lubrication strategy application information among the process conditions. That is, when the MQL strategy is used, the predicted power consumption and the predicted power consumption when the wet lubrication is used can be derived together, and the difference value of the power consumption value according to the lubrication strategy can be derived accordingly.

On the other hand, a diagram of a flow for initially modeling a process function is shown in Fig. That is, it is understood that the embodiment of FIG. 2 is the steps performed before the execution of the step S10 of FIG.

Referring to FIG. 2, at step S30, at least one process condition to be a variable of the process function is selected in the milling process. As mentioned above, the process conditions may include cutting depth, cutting flow rate, feed speed and lubrication strategy application information, among which the process conditions to be applied are selected.

As mentioned above, the lubrication strategy application information means information on which lubrication strategy, wet lubrication or MQL lubrication, is applied.

When the step S30 is completed, a step S40 of modeling an initial process function having the values of the selected process conditions as variables and the power consumption as a function value is performed. That is, the initial process function means a function in which the modeling of the function formula and the constant to be applied to the variable is not completed.

When the step S40 is completed, meta-modeling is performed by setting the process conditions specified in the Japanese Industrial Standard (JIS) as the experimental data and numerically applying the numerical values of the experimental data set in the initial process function to the numerical values of the selected process conditions (S50) of completing the modeling of the process function using the meta-modeling technique.

Meta-modeling is a software technology for modeling a real clock, defining a model as a metamodel, defining each component based on the metamodel, and is a technology suitable for modeling a system of the device from specific data.

On the other hand, JIS defines the machining process defined in the milling process and can serve as accurate experimental data that can be used to derive the process function through metamodeling. On the other hand, when the metamodeling is used, the workpiece is a material made of a metal material of S45C, and the spindle speed can be defined as 1200 rpm, but it is not limited thereto.

When the modeling of the process function is completed by using the meta-modeling technique, the predicted value of the power consumption in the milling process can be derived by substituting variables of various process conditions as described in the description of FIG.

3 is a diagram for explaining a configuration of a power consumption prediction system in a milling process according to an embodiment of the present invention and a functional flow of the system. In the following description, the description of the parts overlapping with the description of FIG. 1 and FIG. 2 will be omitted.

Referring to FIG. 3, a power consumption prediction system 10 of a milling process according to an embodiment of the present invention includes a process function management module 11 and a power consumption prediction module 12 do.

The process function management module 11 calculates a process function that sets, as variables, the numerical values of at least one process condition among the process conditions applied in the milling process and sets the power consumption consumed in the milling process as a function value And loads the process function at the request of power consumption derivation.

That is, the process function management module 11 performs the functions of step S10 of FIG. 1 and steps S30 to S50 of FIG. To this end, the process function management module 11 can be used to model the process function by inputting the condition (20) of the JIS standard.

The power consumption prediction module 12 receives various process conditions 30 and derives the power consumption value 40 using the process function loaded from the process function management module 11, And performs the function of the step.

The method for predicting the power consumption of the milling process according to the present invention may be applied to an application installed in a terminal (which may include a program included in a platform or an operating system basically installed in the terminal) And may be executed by an application (that is, a program) directly installed on the terminal by a user via an application providing server such as an application store server, an application, or a web server related to the service. In this sense, the power consumption prediction method of the milling process according to the above-described embodiment of the present invention is basically installed in a terminal or implemented in an application (i.e., a program) directly installed by a user, And recorded on a recording medium.

Such a program may be recorded on a recording medium that can be read by a computer and executed by a computer so that the above-described functions can be executed.

As described above, in order to execute the power consumption prediction method of the milling process according to each embodiment of the present invention, the above-described program may be stored in a computer language such as C, C ++, JAVA, And may include coded codes.

The code may include a function code related to a function or the like that defines the functions described above and may include an execution procedure related control code necessary for the processor of the computer to execute the functions described above according to a predetermined procedure.

In addition, such code may further include memory reference related code as to what additional information or media needed to cause the processor of the computer to execute the aforementioned functions should be referenced at any location (address) of the internal or external memory of the computer .

In addition, when a processor of a computer needs to communicate with any other computer or server, etc., to perform the above-described functions, the code may be stored in a computer's communication module (e.g., a wired and / ) May be used to further include communication related codes such as how to communicate with any other computer or server in the remote, and what information or media should be transmitted or received during communication.

The functional program for implementing the present invention and the related code and code segment may be implemented by programmers in the technical field of the present invention in consideration of the system environment of the computer that reads the recording medium and executes the program, Or may be easily modified or modified by the user.

Examples of the computer-readable recording medium on which the above-described program is recorded include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical media storage, and the like.

Also, the computer-readable recording medium on which the above-described program is recorded may be distributed to a computer system connected via a network so that computer-readable codes can be stored and executed in a distributed manner. In this case, any of at least one of the plurality of distributed computers may execute some of the functions presented above and transmit the result of the execution to at least one of the other distributed computers, and transmit the result The receiving computer may also perform some of the functions described above and provide the results to other distributed computers as well.

In particular, a computer-readable recording medium on which an application, which is a program for executing a method for predicting power consumption in a milling process according to each of the embodiments of the present invention, includes an application store server, (E.g., a hard disk) included in an application provider server such as a related web server, or an application providing server itself.

A computer that can read a recording medium on which an application that is a program for executing a method for predicting power consumption of a milling process according to each embodiment of the present invention is read may be a general PC such as a general desktop or a notebook computer, A mobile terminal such as a personal computer, a personal digital assistant (PDA), and a mobile communication terminal. In addition, the present invention should be interpreted as all devices capable of computing.

In addition, a computer that can read a recording medium on which an application, which is a program for executing a method for predicting power consumption in a milling process according to an embodiment of the present invention, is read is a smart phone, a tablet PC, a PDA (Personal Digital Assistants) , The application may be downloaded from the application providing server to the general PC and installed in the mobile terminal through the synchronization program.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. That is, within the scope of the present invention, all of the components may be selectively coupled to at least one. In addition, although all of the components may be implemented as one independent hardware, some or all of the components may be selectively combined to perform a part or all of the functions in one or a plurality of hardware. As shown in FIG. The codes and code segments constituting the computer program may be easily deduced by those skilled in the art. Such a computer program can be stored in a computer-readable storage medium, readable and executed by a computer, thereby realizing an embodiment of the present invention. As a storage medium of the computer program, a magnetic recording medium, an optical recording medium, or the like can be included.

It is also to be understood that the terms such as " comprises, "" comprising," or "having ", as used herein, mean that a component can be implanted unless specifically stated to the contrary. But should be construed as including other elements. All terms, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Commonly used terms, such as predefined terms, should be interpreted to be consistent with the contextual meanings of the related art, and are not to be construed as ideal or overly formal, unless expressly defined to the contrary.

The foregoing description is merely illustrative of the technical idea of the present invention, and various changes and modifications may be made by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas within the scope of equivalents should be construed as falling within the scope of the present invention.

Claims (5)

Loading a process function having numerical values of at least one process condition set as a variable among the process conditions applied in the milling process and using the power consumption consumed in the milling process as a function value; And
And deriving the power consumption value by substituting the variable into the process function model. The method according to claim 1,
Before the step of loading the process function model,
Selecting at least one processing condition to be the variable;
Modeling an initial process function having the numerical value of the selected process condition as a variable and the power consumption as a function value; And
Using a metamodeling technique for setting a process condition defined in the Japanese Industrial Standard for the numerical value of the selected process condition as experimental data and applying a numerical value of the set experimental data to the initial process function to model the function, And completing the modeling of the milling process. The method according to claim 1,
Wherein the predetermined at least one process condition includes:
Cutting depth, cutting flow rate, feed speed, and lubrication strategy application information. The method of claim 3,
Wherein deriving the power consumption value comprises:
And deriving a difference value of the power consumption value according to the lubrication strategy. A process function of storing numerical values of at least one process condition set as a variable among the process conditions applied in the milling process and using the power consumption consumed in the milling process as a function value, A process function management module for loading the process function; And
And a power consumption prediction module that substitutes the variable into the process function model to derive the power consumption value.
KR1020150054160A 2015-04-17 2015-04-17 Method and system for energy consumption estimation on milling process KR20160124333A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023248295A1 (en) * 2022-06-20 2023-12-28 ファナック株式会社 Numerical control device and expected electric power consumption calculation system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023248295A1 (en) * 2022-06-20 2023-12-28 ファナック株式会社 Numerical control device and expected electric power consumption calculation system

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