CN107657129A - Thin-wall part residual stress deformation based on clamping power monitoring perceives Forecasting Methodology - Google Patents

Thin-wall part residual stress deformation based on clamping power monitoring perceives Forecasting Methodology Download PDF

Info

Publication number
CN107657129A
CN107657129A CN201710964936.XA CN201710964936A CN107657129A CN 107657129 A CN107657129 A CN 107657129A CN 201710964936 A CN201710964936 A CN 201710964936A CN 107657129 A CN107657129 A CN 107657129A
Authority
CN
China
Prior art keywords
msub
residual stress
mrow
deformation
clamping power
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
CN201710964936.XA
Other languages
Chinese (zh)
Other versions
CN107657129B (en
Inventor
张定华
王骏腾
吴宝海
罗明
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 CN201710964936.XA priority Critical patent/CN107657129B/en
Publication of CN107657129A publication Critical patent/CN107657129A/en
Application granted granted Critical
Publication of CN107657129B publication Critical patent/CN107657129B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/17Mechanical parametric or variational design

Abstract

The invention discloses a kind of thin-wall part residual stress deformation based on clamping power monitoring to perceive Forecasting Methodology, for solving the technical problem of existing thin-wall part residual stress Deformation Prediction method poor practicability.Technical scheme is to estimate the residual stress deformation tendency of thin-wall part by finite element simulation method first, and in large deformation region, addition clamping power perceives point;Then design perceives fixture, passes through the change of pressure sensor clamping power in point monitoring process is perceived;Finally by the FEM model for establishing mounting and clamping system static determinacy base, the counter-force of point application clamping power changing value is being perceived, the residual stress deformation of part is being obtained, realizes the prediction of thin-wall part residual stress deformation.The present invention need not obtain accurate forming residual stress value, solving existing thin-wall part residual stress Deformation Prediction method application forming residual stress inaccuracy causes the big technical problem of Deformation Prediction error, solves the technical problem that the deformation of thin-wall part residual stress is difficult to Accurate Prediction simultaneously, practicality is good.

Description

Thin-wall part residual stress deformation based on clamping power monitoring perceives Forecasting Methodology
Technical field
The present invention relates to a kind of thin-wall part residual stress Deformation Prediction method, it is more particularly to a kind of based on clamping power monitoring The deformation of thin-wall part residual stress perceives Forecasting Methodology.
Background technology
Finite element simulation is the research method of residual stress Deformation Prediction main at present.At present to residual stress deformation Emulating the method generally used is:Deformed for initial residual stress, the blank initial residual stress that measurement obtains is applied to On blank FEM model, the removal of the method artificial material of range site life and death, final part structure and stress distribution are obtained State, and then obtain initial residual stress deformation;Deformed for forming residual stress, use obtains X-ray diffraction measurement more A certain fixed operating mode under processing surface residual stress be distributed to part top layer apply method, stress equilibrium obtain processing it is residual Residue stress deforms.
Document " Finite Element Modeling of Part Distortion, ICIRA 2008, Part II, LNAI 5315, pp.329-338,2008. " disclose a kind of method of thin-wall part residual stress Deformation Prediction.This method uses Finite element simulation technology, the forming residual stress for measuring obtained blank material initial residual stress and piece surface is applied to On the FEM model of part, by emulating tool cutting process, realize that material removes, the remnants that final prediction obtains part should Force deformation.
The application of the above method has very big limitation, can only be directed to simple operating mode, the ideal of simple design of part part Machining state deploys simulation study, larger with actual processing gap.In actual processing, due to tool wear, material skewness Etc. the influence of factor, the inconsistent inaccuracy that result in stress application of forming residual stress distribution under same fixed operating mode;In addition, The complicated moulding surface structure of most thin-walled parts, the processing operating mode of time-varying, also result in residual stress and are difficult to accurately obtain, now without Method is deformed using the method Accurate Prediction residual stress of finite element simulation.
The content of the invention
In order to overcome the shortcomings of existing thin-wall part residual stress Deformation Prediction method poor practicability, the present invention provides a kind of base Forecasting Methodology is perceived in the thin-wall part residual stress deformation of clamping power monitoring.This method is estimated by finite element simulation method first The residual stress deformation tendency of thin-wall part, in large deformation region, addition clamping power perceives point;Then design perceives fixture, passes through pressure The change of force snesor clamping power in point monitoring process is perceived;Finally by the finite element for establishing mounting and clamping system static determinacy base Model, the counter-force of point application clamping power changing value is being perceived, obtaining the residual stress deformation of part, realizing thin-wall part remnants should The prediction of force deformation.The present invention need not obtain accurate forming residual stress value, solve existing thin-wall part residual stress deformation Forecasting Methodology, which applies forming residual stress inaccuracy, causes the big technical problem of Deformation Prediction error.Due to by sensor monitoring technology It is applied in thin-wall part processing, solves the problems, such as that the deformation of thin-wall part residual stress is difficult to Accurate Prediction, practicality is good.
The technical solution adopted for the present invention to solve the technical problems:A kind of thin-wall part based on clamping power monitoring is remaining should Force deformation perceives Forecasting Methodology, is characterized in comprising the following steps:
Step 1: determine clamping power perceived position.In finite element analysis software, the threedimensional model of part is established, to building Vertical FEM model assigns material properties, boundary condition, to the model partition grid to obtain multiple units, on top layer Unit applies an approximate forming residual stress distribution according to away from finished surface depth, submits finite element analysis, estimates part Deformation state.Apply clamping power perception point deforming larger position.
Step 2: design fixture scheme.The perception fixture of design specialized, perceived for ease of clamping power, superfluous constraint is set A constrained type is counted into, pressure sensor is installed on a constraint clamping.
Step 3: processing perceives.The fixture scheme clamping parts designed by step 2, part is completed according to given operating mode Processing.The numerical value of clamping power is recorded in the detecting period point of setting.
Step 4: residual stress deformation solves.
(a) mathematical modeling that residual stress deformation perceives prediction is established.
The mathematical modeling for perceiving prediction is expressed as follows:
S=f (Δ E) (1)
In formula, Δ E is vectorial to perceive:Difference perceives moment (1~m) different perceived position (1~n) clamping power changing values. It is E to define initial clamping power0=[e01 e02 … e0n], each element represents the 1~n of perceived position of initial time 0 clamping power, its In the numerical value of each element need to determine by sensor senses.The process of part is sharp equivalent to being provided to sensory perceptual system Encourage, change clamping power, the clamping power for defining the moment 1 is E1=[e11 e12 … e1n], then clamping power change vector Δ E1= E1-E0, with the progress of working angles, taking for new perception moment is fixed, and the clamping power perceived is respectively E2 E3 … Em, it is right The clamping power change vector that should be extended is respectively Δ E2 ΔE3 … ΔEm, the perception vector of whole working angles is Δ E= [ΔE1 ΔE2 … ΔEm]T.Embodiment perceives the change for the perception point position clamping power that vector determines for step (a) before and after processing Change value.
S predicts object vector to perceive:Difference perceives moment (1~m) different perceived position (1~n) part residual stress Deformation vector.Object vector S=[S1 S2 … Sm]T, each element represent it is different perception moment parts residual stress deflections, I.e. in the residual stress deflection of different perception moment release clamping parts diverse locations.Wherein Si=[Si1 Si2 … Sin] generation I-th of perception moment of table, the residual stress deformation values of part diverse location, it should be noted that differ each element value position It is fixed corresponding with perceived position.It is residual stress deformation vector of the part along length center line that embodiment, which perceives prediction object vector,.
f:Δ E → S is to perceive the mapping relations that vector arrives object vector.The mapping relations solve target by perceiving vector Vector, so as to realize that the perception to residual stress deformation is predicted.The mapping relations pass through theory deduction, finite element simulation or intelligence Can the acquisition of algorithm means.Embodiment obtains the mapping relations using the means of finite element simulation.
(b) solution of forecast model is perceived.
The solution perceived for the deformation of n times indeterminate mounting and clamping system residual stress, has following in different superfluous constraint points Coordinate deformation equation group:
In formula:
eiRepresent the changing value of restraining force in each superfluous constraint;
δij(i=1,2,3 ..., n;J=1,2,3 ..., n;) statically determinate structure is represented in ejDuring=1 independent role, along eiDirection Displacement;
ΔiMStatic determinacy based structures are represented under residual stress independent role, along eiThe displacement in direction;
Thus, the solution formula of the indeterminate clamping structure sensor model of n times has just been obtained:
ΔM=-δ e (3)
In formula:
Residual stress deformation after parts fixation unloading is equal to the counter-force independent role for perceiving point clamping power changing value zero Caused deformation on part, that is, obtain the deformation state of part.Deformation state now is the remnants after parts fixation unloading should Force deformation value.
The beneficial effects of the invention are as follows:The residual stress that this method estimates thin-wall part by finite element simulation method first becomes Shape trend, in large deformation region, addition clamping power perceives point;Then design perceives fixture, and point prison is being perceived by pressure sensor Survey the change of clamping power in process;Finally by the FEM model for establishing mounting and clamping system static determinacy base, apply perceiving point The counter-force of clamping power changing value, the residual stress deformation of part is obtained, realizes the prediction of thin-wall part residual stress deformation.This hair It is bright to obtain accurate forming residual stress value, it is residual to solve existing thin-wall part residual stress Deformation Prediction method application processing Residue stress inaccuracy causes the big technical problem of Deformation Prediction error.Due to sensor monitoring technology is applied into thin-wall part processing In, solve the problems, such as that the deformation of thin-wall part residual stress is difficult to Accurate Prediction, practicality is good.
The present invention is elaborated with reference to the accompanying drawings and detailed description.
Brief description of the drawings
Fig. 1 is predicted in thin-wall part residual stress deformation perception Forecasting Methodology embodiment of the present invention based on clamping power monitoring As a result with the comparison diagram of measured result.
Embodiment
Reference picture 1.The present embodiment should for the remnants perceived after the parts fixation unloading of prediction sheet member single-sided process process Force deformation.Thin plate blank material is GH4169, size 160*20*2mm, takes intermediate region processing 80*20mm surface, processing Depth is 0.5mm, and both ends respectively stay 40*20mm region to be used for clamping.Sheet member passes through destressing heat treatment before processing, remaining Stress deformation is mainly introduced by top layer forming residual stress to be caused.
Thin-wall part residual stress deformation of the present invention based on clamping power monitoring perceives Forecasting Methodology and comprised the following steps that:
Implementation steps 1:Determine clamping power perceived position.
To determine perceived position, the forming residual stress of sheet member mounting and clamping system static determinacy base is established in Abaqus softwares Deformation Prediction analysis finite element model, process are as described below:
The foundation of model and basis instrument:The threedimensional model of thin plate is established, thin plate machined surface top layer is divided into 7 layers, often Layer 15um, this is the zone of action of forming residual stress.Setting light sheet material is GH4169, thin plate one end fixed constraint, using 8 Node hexahedron Reduced Integral solid element C3D8R grid divisions, discrete part is 192000 units;
Table 1 processes surface residual stress distribution
The application of residual stress:Residual stress distribution shown in table 1 is applied on each layer by depth.This residual stress is to adopt Obtained with after parameter Milling Process GH4169 material blocks used during experiment by X-ray diffraction measurement.σXXEnter for finished surface edge To the residual stress of velocity attitude, σYYFor the residual stress in finished surface vertical feed direction.Processed according to variable working condition, due to Fixed cutting tool cuts residual stress in certain condition range has similar distribution character, can apply the operating mode on processing top layer In the range of a certain parameter under residual stress distribution be used for maximum distortion position assessment;
The calculating of residual stress deformation and postpositive disposal:According to result of finite element, after obtaining part Milling Process Aberration nephogram, the residual stress deformation state of part under static determinacy clamping is obtained by FEM model, it is known that sheet member one side Processing is overall to be presented flexural deformation, and maximum distortion position is located at part length boundary.Consider actual clamping limitation, will perceive a little It is arranged on away from border 10mm width midpoints.
Implementation steps 2:Design fixture scheme.
This paper fixtures use flat board one end platen clamp, mode of the end point to a clamping.Face is each up and down at point-to-point end One clamping force sensor is installed, sensor is that circular arc millet cake contacts with feature contacts face.Clamping force sensor parameter used is such as Under:Range 0-1000N, sensitivity 1.0mv/V.It is corresponding in upper and lower clamp member in order to ensure being accurately positioned for point-to-point position Respectively there are three threaded locating holes position, and the accuracy of sensor mounting location is ensured together with sensor upper screwed hole.On in addition, Lower clamp part is assembled by the way of nested, it is ensured that point-to-point clamping.
Implementation steps 3:Processing perceives.
Experiment is carried out on YH850 numerical control machining centers, is processed using two tooth flat-bottom milling cutters.Cutting-in 0.5mm, wide 2mm is cut, Cutting speed 80m/min.Clamping force numerical value is obtained using high-precision display instrument.Fixture top is obtained before processing by display instrument to pass Sensor perception value is 31.6N, lower sensor 32.8N.After processing, upper sensor perception value is 30.8N, and lower sensor is 34.6N。
Implementation steps 4:The solution of residual stress deformation.
The deformation of thin-wall part residual stress solves to be carried out by following steps:
(a) mathematical modeling that residual stress deformation perceives prediction is established.
The mathematical modeling for perceiving prediction is expressed as following form:
S=f (Δ E) (1)
In formula, Δ E is vectorial to perceive:Difference perceives moment (1~m) different perceived position (1~n) clamping power changing values. It is E to define initial clamping power0=[e01 e02 … e0n], each element represents the 1~n of perceived position of initial time 0 clamping power, its In the numerical value of each element need to determine by sensor senses.The process of part is sharp equivalent to being provided to sensory perceptual system Encourage, change clamping power, the clamping power for defining the moment 1 is E1=[e11 e12 … e1n], then clamping power change vector Δ E1= E1-E0, with the progress of working angles, taking for new perception moment is fixed, and the clamping power perceived is respectively E2 E3 … Em, it is right The clamping power change vector that should be extended is respectively Δ E2 ΔE3 … ΔEm, the perception vector of whole working angles is Δ E= [ΔE1 ΔE2 … ΔEm]T.Embodiment perceives the change for the perception point position clamping power that vector determines for step 1 before and after processing Value.
S predicts object vector to perceive:Difference perceives moment (1~m) different perceived position (1~n) part residual stress Deformation vector.Object vector S=[S1 S2 … Sm]T, each element represent it is different perception moment parts residual stress deflections, I.e. in the residual stress deflection of different perception moment release clamping parts diverse locations.Wherein Si=[Si1 Si2 … Sin] generation I-th of perception moment of table, the residual stress deformation values of part diverse location, it should be noted that differ each element value position It is fixed corresponding with perceived position.It is residual stress deformation vector of the part along length center line that embodiment, which perceives prediction object vector,.
f:Δ E → S is to perceive the mapping relations that vector arrives object vector.The mapping relations solve target by perceiving vector Vector, so as to realize that the perception to residual stress deformation is predicted.The mapping relations pass through theory deduction, finite element simulation or intelligence Can the acquisition of algorithm means.Embodiment obtains the mapping relations using the means of finite element simulation.
(b) solution of forecast model is perceived.
The solution perceived for the deformation of n times indeterminate mounting and clamping system residual stress, has following in different superfluous constraint points Coordinate deformation equation group:
In formula:
eiRepresent the changing value of restraining force in each superfluous constraint;
δij(i=1,2,3 ..., n;J=1,2,3 ..., n;) statically determinate structure is represented in ejDuring=1 independent role, along eiDirection Displacement;
ΔiMStatic determinacy based structures are represented under residual stress independent role, along eiThe displacement in direction;
Thus, the solution formula of the indeterminate clamping structure sensor model of n times has just been obtained:
ΔM=-δ e (3)
In formula:
The counter-force independent role that residual stress deformation i.e. after parts fixation unloading is equal to perception point clamping power changing value exists Caused deformation on part.Embodiment is 2 indeterminate mounting and clamping systems, suitable for the method for solving.
From solution formula (3), sheet member residual stress deforms the load for being equivalent to be downwardly applied to 2.6N on part Caused deformation values.Limit element artificial module is established in Abaqus, setting light sheet material is GH4169, and thin plate one end is fixed about Beam, using 8 node hexahedron Reduced Integral solid element C3D8R grid divisions, discrete part is 192000 units;Perceiving Point applies the Aberration nephogram that downward 2.6N load obtains part, extracts the deformation numerical value along length center line.Unloaded after machining Carry and perceive end clamping, deformation of the part along length center line direction is measured using strain gauge.
It is 1.07mm to contrast perception prediction result to can be seen that actual measurement maximum distortion with measured result from Fig. 1, is perceived maximum 0.93mm is deformed into, it is 13% that maximum, which perceives prediction error, and existing residual stress limited deformation member Forecasting Methodology error exists 30% or so, perceive prediction and achieve more accurate result.

Claims (1)

1. a kind of thin-wall part residual stress deformation based on clamping power monitoring perceives Forecasting Methodology, it is characterised in that including following step Suddenly:
Step 1: determine clamping power perceived position;In finite element analysis software, the threedimensional model of part is established, to foundation FEM model assigns material properties, boundary condition, to the model partition grid to obtain multiple units, in top layer unit Apply an approximate forming residual stress distribution according to away from finished surface depth, submit finite element analysis, estimate the change of part Shape state;Apply clamping power perception point deforming larger position;
Step 2: design fixture scheme;The perception fixture of design specialized, perceived for ease of clamping power, superfluous constraint is designed to Point constrained type, pressure sensor is installed on a constraint clamping;
Step 3: processing perceives;The fixture scheme clamping parts designed by step 2, adding for part is completed according to given operating mode Work;The numerical value of clamping power is recorded in the detecting period point of setting;
Step 4: residual stress deformation solves;
(a) mathematical modeling that residual stress deformation perceives prediction is established;
The mathematical modeling for perceiving prediction is expressed as follows:
S=f (Δ E) (1)
In formula, Δ E is vectorial to perceive:Difference perceives moment (1~m) different perceived position (1~n) clamping power changing values;Definition Initial clamping power is E0=[e01 e02 … e0n], each element represents the 1~n of perceived position of initial time 0 clamping power, wherein respectively The numerical value of individual element needs to determine by sensor senses;The process of part provides excitation equivalent to sensory perceptual system, Change clamping power, the clamping power for defining the moment 1 is E1=[e11 e12 … e1n], then clamping power change vector Δ E1=E1- E0, with the progress of working angles, taking for new perception moment is fixed, and the clamping power perceived is respectively E2 E3 … Em, it is corresponding The clamping power change vector of extension is respectively Δ E2 ΔE3 … ΔEm, the perception vector of whole working angles is Δ E=[Δs E1 ΔE2 … ΔEm]T;Embodiment perceives the change for the perception point position clamping power that vector determines for step (a) before and after processing Value;
S predicts object vector to perceive:Difference perceives moment (1~m) different perceived position (1~n) part residual stress deformations Vector;Object vector S=[S1 S2 … Sm]T, each element represent it is different perception moment parts residual stress deflections, that is, exist Difference perceives the residual stress deflection of moment release clamping parts diverse location;Wherein Si=[Si1 Si2 … Sin] represent I perception the moment, the residual stress deformation values of part diverse location, it should be noted that each element value position not necessarily with Perceived position is corresponding;It is residual stress deformation vector of the part along length center line that embodiment, which perceives prediction object vector,;
f:Δ E → S is to perceive the mapping relations that vector arrives object vector;The mapping relations by perceive vector solve target to Amount, so as to realize that the perception to residual stress deformation is predicted;The mapping relations pass through theory deduction, finite element simulation or intelligence Algorithm means obtain;Embodiment obtains the mapping relations using the means of finite element simulation;
(b) solution of forecast model is perceived;
The solution perceived for the deformation of n times indeterminate mounting and clamping system residual stress, has following deformation in different superfluous constraint points Equation of comptability group:
<mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>&amp;delta;</mi> <mn>11</mn> </msub> <msub> <mi>e</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mn>12</mn> </msub> <msub> <mi>e</mi> <mn>2</mn> </msub> <mo>+</mo> <mn>...</mn> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mrow> <mn>1</mn> <mi>n</mi> </mrow> </msub> <msub> <mi>e</mi> <mi>n</mi> </msub> <mo>+</mo> <msub> <mi>&amp;Delta;</mi> <mrow> <mn>1</mn> <mi>M</mi> </mrow> </msub> <mo>=</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>&amp;delta;</mi> <mn>21</mn> </msub> <msub> <mi>e</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mn>22</mn> </msub> <msub> <mi>e</mi> <mn>2</mn> </msub> <mo>+</mo> <mn>...</mn> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mrow> <mn>2</mn> <mi>n</mi> </mrow> </msub> <msub> <mi>e</mi> <mi>n</mi> </msub> <mo>+</mo> <msub> <mi>&amp;Delta;</mi> <mrow> <mn>2</mn> <mi>M</mi> </mrow> </msub> <mo>=</mo> <mn>0</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mn>......</mn> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>&amp;delta;</mi> <mrow> <mi>n</mi> <mn>1</mn> </mrow> </msub> <msub> <mi>e</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mrow> <mi>n</mi> <mn>2</mn> </mrow> </msub> <msub> <mi>e</mi> <mn>2</mn> </msub> <mo>+</mo> <mn>...</mn> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mrow> <mi>n</mi> <mi>n</mi> </mrow> </msub> <msub> <mi>e</mi> <mi>n</mi> </msub> <mo>+</mo> <msub> <mi>&amp;Delta;</mi> <mrow> <mi>n</mi> <mi>M</mi> </mrow> </msub> <mo>=</mo> <mn>0</mn> </mrow> </mtd> </mtr> </mtable> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>
In formula:
eiRepresent the changing value of restraining force in each superfluous constraint;
δij(i=1,2,3 ..., n;J=1,2,3 ..., n;) statically determinate structure is represented in ejDuring=1 independent role, along eiThe position in direction Move;
ΔiMStatic determinacy based structures are represented under residual stress independent role, along eiThe displacement in direction;
Thus, the solution formula of the indeterminate clamping structure sensor model of n times has just been obtained:
ΔM=-δ e (3)
In formula:
ΔM=[Δ1M Δ2M ΔnM]TE=[e1 e2 … en];
Residual stress deformation after parts fixation unloading is equal to the counter-force independent role for perceiving point clamping power changing value on part Caused deformation, that is, obtain the deformation state of part;Deformation state now is that the residual stress after parts fixation unloading becomes Shape value.
CN201710964936.XA 2017-10-17 2017-10-17 Thin-wall part residual stress deformation perception prediction method based on clamping force monitoring Active CN107657129B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710964936.XA CN107657129B (en) 2017-10-17 2017-10-17 Thin-wall part residual stress deformation perception prediction method based on clamping force monitoring

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710964936.XA CN107657129B (en) 2017-10-17 2017-10-17 Thin-wall part residual stress deformation perception prediction method based on clamping force monitoring

Publications (2)

Publication Number Publication Date
CN107657129A true CN107657129A (en) 2018-02-02
CN107657129B CN107657129B (en) 2019-12-20

Family

ID=61118438

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710964936.XA Active CN107657129B (en) 2017-10-17 2017-10-17 Thin-wall part residual stress deformation perception prediction method based on clamping force monitoring

Country Status (1)

Country Link
CN (1) CN107657129B (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109635365A (en) * 2018-11-22 2019-04-16 中国航发沈阳黎明航空发动机有限责任公司 A kind of process of control casing cutting parts deformation
CN109765841A (en) * 2019-01-09 2019-05-17 西北工业大学 The space-time mapping method of online monitoring data and part Working position
CN110695725A (en) * 2019-09-09 2020-01-17 北京航空航天大学 Aviation thin-wall part tool and using method thereof
CN110919459A (en) * 2019-12-06 2020-03-27 沈阳航空航天大学 Method for detecting influence of clamping force on machining deformation of thin-wall part
CN111880477A (en) * 2020-07-30 2020-11-03 南京航空航天大学 Machining deformation prediction method integrating mechanism model and learning model
CN112014016A (en) * 2020-07-30 2020-12-01 南京航空航天大学 Method and device for accurately measuring deformation force in part machining process
CN112926152A (en) * 2021-02-15 2021-06-08 西北工业大学 Accurate control and optimization method for clamping force of thin-walled part driven by digital twin

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS58100907A (en) * 1981-12-11 1983-06-15 Hitachi Ltd Controlling method of sheet gauge in hot rolling mill
CN101887472A (en) * 2009-05-12 2010-11-17 通用汽车环球科技运作公司 The method of unrelieved stress and distortion in the prediction quenching aluminium casting
US20120253702A1 (en) * 2011-03-29 2012-10-04 Fuji Xerox Co., Ltd. Internal residual stress calculating device, non-transitory computer-readable medium, and internal residual stress calculating method
CN104111625A (en) * 2014-08-22 2014-10-22 南京航空航天大学 Active machining method for clamping deformation of thin-walled special-shaped workpieces
CN104298818A (en) * 2014-09-26 2015-01-21 北京理工大学 Method for predicting and simulating errors of end-milled surface
CN105302970A (en) * 2015-11-04 2016-02-03 沈阳黎明航空发动机(集团)有限责任公司 Prediction method of residual stress-redistribution process of thin-walled aviation part
CN106529053A (en) * 2016-11-16 2017-03-22 西北工业大学 Method for predicting milling residual stress field of titanium alloy
CN106840877A (en) * 2017-01-22 2017-06-13 北京工业大学 A kind of multiaxis crackle total life prediction method based on stress

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS58100907A (en) * 1981-12-11 1983-06-15 Hitachi Ltd Controlling method of sheet gauge in hot rolling mill
CN101887472A (en) * 2009-05-12 2010-11-17 通用汽车环球科技运作公司 The method of unrelieved stress and distortion in the prediction quenching aluminium casting
US20100292966A1 (en) * 2009-05-12 2010-11-18 Gm Global Technology Oeprations, Inc. Methods of predicting residual stresses and distortion in quenched aluminum castings
US20120253702A1 (en) * 2011-03-29 2012-10-04 Fuji Xerox Co., Ltd. Internal residual stress calculating device, non-transitory computer-readable medium, and internal residual stress calculating method
CN104111625A (en) * 2014-08-22 2014-10-22 南京航空航天大学 Active machining method for clamping deformation of thin-walled special-shaped workpieces
CN104298818A (en) * 2014-09-26 2015-01-21 北京理工大学 Method for predicting and simulating errors of end-milled surface
CN105302970A (en) * 2015-11-04 2016-02-03 沈阳黎明航空发动机(集团)有限责任公司 Prediction method of residual stress-redistribution process of thin-walled aviation part
CN106529053A (en) * 2016-11-16 2017-03-22 西北工业大学 Method for predicting milling residual stress field of titanium alloy
CN106840877A (en) * 2017-01-22 2017-06-13 北京工业大学 A kind of multiaxis crackle total life prediction method based on stress

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109635365A (en) * 2018-11-22 2019-04-16 中国航发沈阳黎明航空发动机有限责任公司 A kind of process of control casing cutting parts deformation
CN109765841A (en) * 2019-01-09 2019-05-17 西北工业大学 The space-time mapping method of online monitoring data and part Working position
CN110695725A (en) * 2019-09-09 2020-01-17 北京航空航天大学 Aviation thin-wall part tool and using method thereof
CN110919459A (en) * 2019-12-06 2020-03-27 沈阳航空航天大学 Method for detecting influence of clamping force on machining deformation of thin-wall part
CN110919459B (en) * 2019-12-06 2020-10-16 沈阳航空航天大学 Method for detecting influence of clamping force on machining deformation of thin-wall part
CN111880477A (en) * 2020-07-30 2020-11-03 南京航空航天大学 Machining deformation prediction method integrating mechanism model and learning model
CN112014016A (en) * 2020-07-30 2020-12-01 南京航空航天大学 Method and device for accurately measuring deformation force in part machining process
CN111880477B (en) * 2020-07-30 2022-02-11 南京航空航天大学 Machining deformation prediction method integrating mechanism model and learning model
CN112926152A (en) * 2021-02-15 2021-06-08 西北工业大学 Accurate control and optimization method for clamping force of thin-walled part driven by digital twin
CN112926152B (en) * 2021-02-15 2023-04-28 西北工业大学 Digital twin-driven thin-wall part clamping force precise control and optimization method

Also Published As

Publication number Publication date
CN107657129B (en) 2019-12-20

Similar Documents

Publication Publication Date Title
CN107657129A (en) Thin-wall part residual stress deformation based on clamping power monitoring perceives Forecasting Methodology
CN108182325A (en) A kind of thin-walled workpiece machining Deformation Prediction analysis method
JP6583708B2 (en) Cutting force adaptive control method and cutting force adaptive control system
JP7261984B2 (en) punching equipment
CN108827513A (en) A kind of planar residual stress detection method of the thin plate handled through laser peening
Yun et al. Development of a virtual machining system, part 3: cutting process simulation in transient cuts
Du et al. Peripheral milling force induced error compensation using analytical force model and APDL deformation calculation
CN103777570A (en) Machining error rapid detection and compensation method based on NURBS curved surface
Wei et al. Computer simulation and experimental study of machining deflection due to original residual stress of aerospace thin-walled parts
CN104102173A (en) Numerical Controller
IL273294B2 (en) Metrology method and system
CN105180886A (en) Method for measuring strain distribution of cold rolled sheet steel
Zongo et al. Geometric deviations of laser powder bed–fused AlSi10Mg components: numerical predictions versus experimental measurements
CN103213068B (en) Measuring method for obtaining workpiece edge removal function in ultra-precision gasbag polishing technique
CN103592079A (en) Large-size large-tonnage cylindrical or column-shaped workpiece axial mass center measuring instrument
CN203606075U (en) Axial centroid measuring instrument for large-size large-tonnage cylindraceous or cylindrical workpiece
Asiabanpour et al. Optimising the automated plasma cutting process by design of experiments
Sheriff et al. Numerical design optimisation of drawbead position and experimental validation of cup drawing process
CN104781739A (en) Positioning precision setting method, positioning precision setting device, and positioning precision setting program
CN104368992B (en) Altitude simulation foot device in real time
CN106874633A (en) The bolt fastening apparatus and method of a kind of turnery processing cutter
CN204036447U (en) Line checkout gear
CN104951619A (en) Method for calculating structural stress of welding structure with virtual SMD (surface mounted device) method
CN207096985U (en) A kind of bolt fastening apparatus of turnery processing cutter
CN105046031B (en) A kind of method for predicting deformation quantity caused by the machining of aluminum alloy thin wall member

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