CN109754332A - The energy consumption model modeling method of lathe Milling Processes based on cutting force - Google Patents

The energy consumption model modeling method of lathe Milling Processes based on cutting force Download PDF

Info

Publication number
CN109754332A
CN109754332A CN201910013924.8A CN201910013924A CN109754332A CN 109754332 A CN109754332 A CN 109754332A CN 201910013924 A CN201910013924 A CN 201910013924A CN 109754332 A CN109754332 A CN 109754332A
Authority
CN
China
Prior art keywords
energy consumption
cutting
lathe
milling
milling processes
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910013924.8A
Other languages
Chinese (zh)
Other versions
CN109754332B (en
Inventor
张定华
王奇
吴宝海
张莹
陈曦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Northwestern Polytechnical University
Original Assignee
Northwestern Polytechnical University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Northwestern Polytechnical University filed Critical Northwestern Polytechnical University
Priority to CN201910013924.8A priority Critical patent/CN109754332B/en
Publication of CN109754332A publication Critical patent/CN109754332A/en
Application granted granted Critical
Publication of CN109754332B publication Critical patent/CN109754332B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Numerical Control (AREA)

Abstract

The technical issues of energy consumption model modeling method for the lathe Milling Processes based on cutting force that the invention discloses a kind of, the practicability is poor for solving existing numerically-controlled machine tool military service Process Energy consumption forecast method.Technical solution is that the energy consumption of lathe Milling Processes is divided into no-load power consumption, cutting energy consumption and extra load energy consumption, carries out modeling and forecasting to three classes energy consumption respectively, the total energy consumption for predicting lathe Milling Processes is calculated with this.It is simple and easy due to being modeled using the method for cutting power calculation extra load power using milling cutting power calculating cutting power, and have stronger applicability to Milling Process.Error between the actual consumption of total energy consumption and lathe that the present invention predicts is no more than 2%, and precision of prediction is high, there is good reference value in actual processing.The method of the present invention can also be used in the acquisition of lathe energy efficiency, the calibration of the energy efficiency evaluation in mechanical processing process, lathe energy consumption etc., have broad application prospects, practicability is good.

Description

The energy consumption model modeling method of lathe Milling Processes based on cutting force
Technical field
The present invention relates to a kind of numerically-controlled machine tool military service Process Energy consumption forecast methods, more particularly to one kind based on cutting The energy consumption model modeling method of the lathe Milling Processes of power.
Background technique
Requirement with modern manufacturing industry to efficiency is higher and higher, and lathe energy consumption receives significant attention in recent years, for reality Existing higher manufacture efficiency, reliable energy consumption modeling is prerequisite, because it is mentioned for any optimization relevant to efficiency For basis.The complex parts of aerospace largely use the processing method of numerical control milling, and the requirement on machining accuracy of complex parts Height, processing efficiency is low, results in the problems such as energy consumption is big, and energy efficiency is low.
Document " number of patent application is 201210131766.4 Chinese invention patent " discloses a kind of numerically-controlled machine tool military service Process Energy consumption forecast method, this method establish based on starting, zero load and processing three classes subprocess energy consumption prediction Numerically-controlled machine tool military service process energy consumption prediction model.It is solved, and obtained by the energy consumption prediction model respectively to every class subprocess To the energy consumption prediction result of entire numerically-controlled machine tool military service process.However, the calculating of the cutting energy consumption in its process is to pass through The calculated cutting force calculating of empirical equation is got, and this method calculates complexity, and various coefficients, index, penalty coefficient are various, this The kind computationally intensive low efficiency of method, and its cutting power is directly obtained by cutting force multiplied by cutting speed, and this algorithm is only fitted For relatively simple turnery processing, for more complicated Milling Process, this calculation method is obviously no longer applicable in.Cause This realizes and carries out precisely to the energy consumption of Milling Processes it is necessary to find a kind of new energy consumption model modeling method Prediction reduces Milling Process energy consumption to realize, realizes that high-effect Milling Process provides theory support.
Summary of the invention
In order to overcome the shortcomings of existing numerically-controlled machine tool military service Process Energy consumption forecast method, the practicability is poor, and the present invention provides A kind of energy consumption model modeling method of the lathe Milling Processes based on cutting force.This method is by lathe Milling Processes Energy consumption is divided into no-load power consumption, cutting energy consumption and extra load energy consumption, modeling and forecasting is carried out to three classes energy consumption respectively, in terms of this Calculate the total energy consumption for predicting lathe Milling Processes.Due to calculating cutting power using milling cutting power, using cutting power The method for calculating extra load power is modeled, simple and easy, and has stronger applicability to Milling Process.The present invention is pre- Error between the total energy consumption of survey and the actual consumption of lathe is no more than 2%, and precision of prediction is high, has in actual processing very well Reference value.The method of the present invention can also be used in the acquisition of lathe energy efficiency, the energy efficiency evaluation in mechanical processing process, lathe energy Consumption calibration etc., has broad application prospects, practicability is good.
The technical solution adopted by the present invention to solve the technical problems is: a kind of lathe Milling Process mistake based on cutting force The energy consumption model modeling method of journey, its main feature is that the following steps are included:
Step 1: lathe Milling Processes energy consumption is divided into no-load power consumption, cutting energy consumption and extra load energy consumption, respectively Modeling and forecasting is carried out to three classes energy consumption, the total energy consumption for predicting lathe Milling Processes is calculated with this.Its prediction model Are as follows:
Ptotal=Pidle+Pcutting+Padditional (1)
Wherein, PtotalIndicate the total energy consumption of Milling Processes, PidleIndicate the no-load power consumption in Milling Processes, PcuttingIndicate the cutting energy consumption in Milling Processes, PadditionalIndicate the extra load energy consumption in Milling Processes.
Step 2: no-load power consumption of the measurement lathe under different rotating speeds under non-cutting state, the data obtained is fitted, Establish no-load power consumption model:
Pilde=f (n) (2)
Wherein, n is machine spindle speed.
Step 3: the foundation of the cutting energy consumption model based on cutting force.
Establish the cutting Force Model of Milling Process:
Wherein, Ft、Fr、FaRespectively tangential, radial direction and axial cutting force, Ktc,Krc,Kac,Kte,Kre,KaeFor cutting force Coefficient, stFor feed engagement, ψ is the instantaneous immersion angle of cutting edge, and dS is the minimum length of cutting edge, and dz is that axial differential is long Degree.
Establish the cutting energy consumption model of Milling Process:
The instantaneous cutting energy consumption model of Milling Process are as follows:
Pcutting=Pn+Pf=∫ dPn+∫dPf=V ∫ dFt+f/60000·∫(-dFx) (4)
Wherein, V is cutting speed, dFx=dFtcosψ+dFrSin ψ, f are the amount of feeding.
The cutting energy consumption model of Milling Process are as follows:
WhereinFor average cutting energy consumption, φpFor cross-sectional angle φp=2 π/N, N are the number of teeth of cutter.
Step 4: establishing the extra load energy consumption model of Milling Process:
Wherein, C0、C1For the coefficient that experimental data obtains,For the quadratic function for cutting energy consumption.
Step 5: the no-load power consumption P in the Milling Processes that step 1 is obtainedidle, the milling that step 2 obtains adds Cutting energy consumption P during workcutting, extra load energy consumption P in the Milling Processes that step 3 obtainsadditional, substitute into Total energy consumption prediction model:
The beneficial effects of the present invention are: the energy consumption of lathe Milling Processes is divided into no-load power consumption, cutting energy by this method Consumption and extra load energy consumption are carried out modeling and forecasting to three classes energy consumption respectively, are calculated with this and predict lathe Milling Process mistake The total energy consumption of journey.Due to calculating cutting power using milling cutting power, using the method for cutting power calculation extra load power It is modeled, it is simple and easy, and have stronger applicability to Milling Process.The reality of total energy consumption and lathe that the present invention predicts Error between energy consumption is no more than 2%, and precision of prediction is high, there is good reference value in actual processing.The method of the present invention It can also be used in the acquisition of lathe energy efficiency, the calibration of the energy efficiency evaluation in mechanical processing process, lathe energy consumption etc., there is wide answer With prospect, practicability is good.
It elaborates With reference to embodiment to the present invention.
Specific embodiment
For the present embodiment by taking milling is slotted as an example, material is No. 45 steel;Cutter diameter is the flat-bottomed cutter of 12mm.Using YHVT850Z numerical control machining center is processed.
The present invention is based on the energy consumption model modeling method of the lathe Milling Processes of cutting force, specific step is as follows:
Step 1: lathe Milling Processes energy consumption is divided into no-load power consumption, cutting energy consumption and extra load energy consumption, respectively Modeling and forecasting is carried out to three classes energy consumption, the total energy consumption for predicting lathe Milling Processes is calculated with this.Its prediction model Are as follows:
Ptotal=Pidle+Pcutting+Padditional
Wherein, PtotalIndicate the total energy consumption of Milling Processes, PidleIndicate the no-load power consumption in Milling Processes, PcuttingIndicate the cutting energy consumption in Milling Processes, PadditionalIndicate the extra load energy consumption in Milling Processes.
Step 2: no-load power consumption of the measurement lathe under different rotating speeds under non-cutting state, the data obtained is fitted.
Establish no-load power consumption model:
Pilde=f (n)
Wherein, n is machine spindle speed.
Step 3: the foundation of the cutting energy consumption model based on cutting force.
Step 1 establishes the cutting Force Model of Milling Process:
dFt(ψ, z)=KtedS+Ktcstsinψdz
dFr(ψ, z)=KredS+Krcstsinψdz
dFa(ψ, z)=KaedS+Kacstsinψdz
Wherein, Ft、Fr、FaRespectively tangential, radial direction and axial cutting force, Ktc,Krc,Kac,Kte,Kre,KaeFor cutting force Coefficient, stFor feed engagement, ψ is the instantaneous immersion angle of cutting edge, and dS is the minimum length of cutting edge, and dz is that axial differential is long Degree.
Step 2 establishes the cutting energy consumption model of Milling Process:
The instantaneous cutting energy consumption model of Milling Process are as follows:
Pcutting=Pn+Pf=∫ dPn+∫dPf=V ∫ dFt+f/60000·∫(-dFx)
Wherein V is cutting speed, dFx=dFtcosψ+dFrSin ψ, f are the amount of feeding.
The cutting energy consumption model of Milling Process are as follows:
WhereinFor average cutting energy consumption, φpFor cross-sectional angle φp=2 π/N, N are the number of teeth of cutter.
Step 4: establishing the extra load energy consumption model of Milling Process:
Wherein C0、C1For the coefficient that experimental data obtains,For the quadratic function for cutting energy consumption.
Step 5: the no-load power consumption P in the Milling Processes that step 1 is obtainedidle, the milling that step 2 obtains adds Cutting energy consumption P during workcutting, extra load energy consumption P in the Milling Processes that step 3 obtainsadditional, substitute into Total energy consumption prediction model:
Application Example.Fluting processing is carried out to No. 40 Steel materials on YHVT850Z numerical control machining center, use is above-mentioned Method verifies its milling process.
(1) no-load power consumption model is established:
No-load power consumption model foundation is carried out according to step 2, is measured under different rotating speeds respectively under lathe non-cutting state Power, the Fitting Calculation go out no-load power consumption model:
Pidle=0.000007n2-0.0025n+913.83
(2) foundation of the cutting energy consumption model based on cutting force:
Cut force modeling and cutting energy consumption modeling respectively according to step 3.
According to experiment the data obtained, cutting Force Model are as follows:
dFt(ψ, z)=KtedS+Ktcstsinψdz
dFr(ψ, z)=KredS+Krcstsinψdz
dFa(ψ, z)=KaedS+Kacstsinψdz
Wherein, Ft、Fr、FaRespectively tangential, radial direction and axial cutting force, being computed Cutting Force Coefficient is Krc= 3363.358 Kre=62.784, Kte=51.262, Ktc=2004.509, since axial force is not done work, so Kac,,KaeIt is not necessarily to It calculates, stFor feed engagement, ψ is the instantaneous immersion angle of cutting edge, and dS is the minimum length of cutting edge, and dz is that axial differential is long Degree.
According to cutting Force Model, the instantaneous cutting energy consumption model of Milling Process is calculated are as follows:
Pcutting=Pn+Pf=∫ dPn+∫dPf=V ∫ dFt+f/60000·∫(-dFx)
Wherein V is cutting speed, dFx=dFtcosψ+dFrSin ψ, f are the amount of feeding.
The cutting energy consumption model of Milling Process are as follows:
Wherein,For average cutting energy consumption, φpFor cross-sectional angle φp=2 π/N, N are the number of teeth of cutter.
(3) the extra load energy consumption model of Milling Process is established:
The extra load energy consumption model that Milling Process is established according to step 4 is computed its extra load energy consumption model are as follows:
(4) total energy consumption prediction model is established:
Total energy consumption prediction model is established according to step 5, establishes total energy consumption prediction model are as follows:
The precision that the method for the present invention predicts numerically-controlled machine tool Milling Processes energy consumption is higher (being shown in Table 1).
Energy consumption error under 1 different machining parameters of table
As can be seen that the error of the energy consumption of the practical milling process gone out with actual measurement is less than 2%, it is therefore, practical There is good reference value in work.

Claims (1)

1. a kind of energy consumption model modeling method of the lathe Milling Processes based on cutting force, it is characterised in that including following step It is rapid:
Step 1: lathe Milling Processes energy consumption is divided into no-load power consumption, cutting energy consumption and extra load energy consumption, respectively to three Class energy consumption carries out modeling and forecasting, and the total energy consumption for predicting lathe Milling Processes is calculated with this;Its prediction model are as follows:
Ptotal=Pidle+Pcutting+Padditional (1)
Wherein, PtotalIndicate the total energy consumption of Milling Processes, PidleIndicate the no-load power consumption in Milling Processes, Pcutting Indicate the cutting energy consumption in Milling Processes, PadditionalIndicate the extra load energy consumption in Milling Processes;
Step 2: no-load power consumption of the measurement lathe under different rotating speeds under non-cutting state, the data obtained is fitted, is established No-load power consumption model:
Pilde=f (n) (2)
Wherein, n is machine spindle speed;
Step 3: the foundation of the cutting energy consumption model based on cutting force;
Establish the cutting Force Model of Milling Process:
Wherein, Ft、Fr、FaRespectively tangential, radial direction and axial cutting force, Ktc,Krc,Kac,Kte,Kre,KaeFor cutting force system Number, stFor feed engagement, ψ is the instantaneous immersion angle of cutting edge, and dS is the minimum length of cutting edge, and dz is that axial differential is long Degree;
Establish the cutting energy consumption model of Milling Process:
The instantaneous cutting energy consumption model of Milling Process are as follows:
Pcutting=Pn+Pf=∫ dPn+∫dPf=V ∫ dFt+f/60000·∫(-dFx) (4)
Wherein, V is cutting speed, dFx=dFtcosψ+dFrSin ψ, f are the amount of feeding;
The cutting energy consumption model of Milling Process are as follows:
WhereinFor average cutting energy consumption, φpFor cross-sectional angle φp=2 π/N, N are the number of teeth of cutter;
Step 4: establishing the extra load energy consumption model of Milling Process:
Wherein, C0、C1For the coefficient that experimental data obtains,For the quadratic function for cutting energy consumption;
Step 5: the no-load power consumption P in the Milling Processes that step 1 is obtainedidle, Milling Processes that step 2 obtains In cutting energy consumption Pcutting, extra load energy consumption P in the Milling Processes that step 3 obtainsadditional, substitute into formula (7), total energy consumption prediction model is obtained:
CN201910013924.8A 2019-01-08 2019-01-08 Cutting force-based energy consumption model modeling method for machine tool milling process Active CN109754332B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910013924.8A CN109754332B (en) 2019-01-08 2019-01-08 Cutting force-based energy consumption model modeling method for machine tool milling process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910013924.8A CN109754332B (en) 2019-01-08 2019-01-08 Cutting force-based energy consumption model modeling method for machine tool milling process

Publications (2)

Publication Number Publication Date
CN109754332A true CN109754332A (en) 2019-05-14
CN109754332B CN109754332B (en) 2022-08-09

Family

ID=66405224

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910013924.8A Active CN109754332B (en) 2019-01-08 2019-01-08 Cutting force-based energy consumption model modeling method for machine tool milling process

Country Status (1)

Country Link
CN (1) CN109754332B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111061218A (en) * 2019-12-31 2020-04-24 华中科技大学 Complex curved surface machining cutting force prediction method and device based on ACIS
CN111941146A (en) * 2019-05-15 2020-11-17 点八有限责任公司 Method for driving a virtual sensor, virtual sensor and machine tool
CN112100827A (en) * 2020-08-28 2020-12-18 西北工业大学 Power consumption modeling method considering tool wear in machine tool milling process
CN113642141A (en) * 2021-05-11 2021-11-12 西北工业大学 Cutter wear prediction method based on milling power
CN113704974A (en) * 2021-08-03 2021-11-26 西安交通大学 Milling process-oriented carbon emission quantitative calculation method and system
CN111941146B (en) * 2019-05-15 2024-06-21 点八有限责任公司 Method for driving virtual sensor, virtual sensor and machine tool

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102621932A (en) * 2012-05-02 2012-08-01 重庆大学 Energy consumption prediction method for use in service process of numerically-controlled machine tool
US20160132033A1 (en) * 2014-11-06 2016-05-12 Institute For Information Industry Machine tool power consumption prediction system and method
CN106093795A (en) * 2016-08-03 2016-11-09 北京品驰医疗设备有限公司 The electric quantity monitoring method of a kind of brain pacemaker and electric quantity monitoring system
CN108133091A (en) * 2017-12-13 2018-06-08 西安交通大学 A kind of method that lathe carbon emission Optimized model is established based on cutting tool state
CN108673241A (en) * 2018-07-30 2018-10-19 山东理工大学 A kind of cutting stage numerically-controlled machine tool Calculation Method of Energy Consumption
CN108803495A (en) * 2018-07-30 2018-11-13 山东理工大学 Numerically controlled lathe energy consumption prediction technique when a kind of execution turnery processing program

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102621932A (en) * 2012-05-02 2012-08-01 重庆大学 Energy consumption prediction method for use in service process of numerically-controlled machine tool
US20160132033A1 (en) * 2014-11-06 2016-05-12 Institute For Information Industry Machine tool power consumption prediction system and method
CN106093795A (en) * 2016-08-03 2016-11-09 北京品驰医疗设备有限公司 The electric quantity monitoring method of a kind of brain pacemaker and electric quantity monitoring system
CN108133091A (en) * 2017-12-13 2018-06-08 西安交通大学 A kind of method that lathe carbon emission Optimized model is established based on cutting tool state
CN108673241A (en) * 2018-07-30 2018-10-19 山东理工大学 A kind of cutting stage numerically-controlled machine tool Calculation Method of Energy Consumption
CN108803495A (en) * 2018-07-30 2018-11-13 山东理工大学 Numerically controlled lathe energy consumption prediction technique when a kind of execution turnery processing program

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
SALMAN PERVAIZ,AND ETC: "Influence of rake angle on the cutting energy when modeling the machining of Ti6Al4V", 《2015 10TH INTERNATIONAL SYMPOSIUM ON MECHATRONICS AND ITS APPLICATIONS (ISMA)》 *
崔峰等: "基于能耗和表面粗糙度的车削参数优化研究", 《机床与液压》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111941146A (en) * 2019-05-15 2020-11-17 点八有限责任公司 Method for driving a virtual sensor, virtual sensor and machine tool
CN111941146B (en) * 2019-05-15 2024-06-21 点八有限责任公司 Method for driving virtual sensor, virtual sensor and machine tool
CN111061218A (en) * 2019-12-31 2020-04-24 华中科技大学 Complex curved surface machining cutting force prediction method and device based on ACIS
CN111061218B (en) * 2019-12-31 2021-07-27 华中科技大学 Complex curved surface machining cutting force prediction method and device based on ACIS
CN112100827A (en) * 2020-08-28 2020-12-18 西北工业大学 Power consumption modeling method considering tool wear in machine tool milling process
CN113642141A (en) * 2021-05-11 2021-11-12 西北工业大学 Cutter wear prediction method based on milling power
CN113642141B (en) * 2021-05-11 2023-11-21 西北工业大学 Cutter abrasion prediction method based on milling power
CN113704974A (en) * 2021-08-03 2021-11-26 西安交通大学 Milling process-oriented carbon emission quantitative calculation method and system
CN113704974B (en) * 2021-08-03 2024-04-02 西安交通大学 Carbon emission quantitative calculation method and system for milling process

Also Published As

Publication number Publication date
CN109754332B (en) 2022-08-09

Similar Documents

Publication Publication Date Title
CN109754332A (en) The energy consumption model modeling method of lathe Milling Processes based on cutting force
CN102621932B (en) Energy consumption prediction method for use in service process of numerically-controlled machine tool
CN106934170B (en) Chatter stability lobes flap figure modeling method based on rose cutter and workpiece contact zone
CN104392090B (en) The construction method of aluminum alloy materials end mill cutting force and machining distorted pattern
CN105414616B (en) Cutting force forecast and Convenient stable criterion during helical milling
Akhavan Niaki et al. Trochoidal milling: investigation of a new approach on uncut chip thickness modeling and cutting force simulation in an alternative path planning strategy
CN102880771B (en) Method for predicting surface roughness of workpiece during high-speed cutting machining
CN103676782B (en) Energy efficiency online test method in the CNC milling machine course of processing
Perez et al. An enhanced method for cutting force estimation in peripheral milling
Li et al. Multiobjective optimization of cutting parameters in Ti-6Al-4V milling process using nondominated sorting genetic algorithm-II
CN101491844B (en) Milling force coefficient and cutter radial eccentricity calibrating method in circular milling process
CN105269402A (en) Method for predicating surface roughness of titanium alloy material based on milling
CN105701323A (en) Plunge milling machining cutting force predicting and modeling method
CN108133091A (en) A kind of method that lathe carbon emission Optimized model is established based on cutting tool state
Daniyan et al. Modelling and optimization of the cutting forces during Ti6Al4V milling process using the response surface methodology and dynamometer
CN108673241A (en) A kind of cutting stage numerically-controlled machine tool Calculation Method of Energy Consumption
CN102566492A (en) Method for forecasting maximum milling force for plunge milling of metal difficult-to-cut materials
CN108255134A (en) A kind of difficult-to-machine material high-speed turning prediction of Turning Force with Artificial method for considering chamfered edge geometry
CN102059381A (en) Machining error prediction method in peripheral milling process
CN105945311A (en) Numerically-controlled machine tool feed system speed regulation method based on power prediction
Wang et al. Energy consumption model for milling processes considering auxiliary load loss and its applications
Luan et al. Comprehensive effects of tool paths on energy consumption, machining efficiency, and surface integrity in the milling of alloy cast Iron
Li et al. An integral algorithm for instantaneous uncut chip thickness measuring in the milling process
CN106020132B (en) The roughing feeding speed optimization method of force data and offline optimization is cut based on field measurement
CN114065427A (en) Cycloid parameter optimization method based on cutting force modeling in cycloid milling

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant