CN106354921A - Allocation design method for stiffness on different position of fixed joint surface of machine - Google Patents
Allocation design method for stiffness on different position of fixed joint surface of machine Download PDFInfo
- Publication number
- CN106354921A CN106354921A CN201610740781.7A CN201610740781A CN106354921A CN 106354921 A CN106354921 A CN 106354921A CN 201610740781 A CN201610740781 A CN 201610740781A CN 106354921 A CN106354921 A CN 106354921A
- Authority
- CN
- China
- Prior art keywords
- column
- stiffness
- design
- lathe bed
- faying face
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Biology (AREA)
- Genetics & Genomics (AREA)
- Biomedical Technology (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Physiology (AREA)
- Pure & Applied Mathematics (AREA)
- Artificial Intelligence (AREA)
- Mathematical Analysis (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Numerical Control (AREA)
Abstract
The invention discloses an allocation design method for stiffness on different position of fixed joint surface of machine, comprising the steps of (1) confirming every parameter of machine to be analyzed; (2) extracting all degree of freedom of bed and column of machine to be analyzed; (3) building dynamic model of bed and column system; (4) confirming the design space of variable and building equation of motion for non-damping vibration of system with multi degree of freedom; (5) constructing two-phase response surface model and conducting allocation design for the stiffness on different position of fixed joint surface of machine by using genetic algorithm iterative approximation optimum seeking technology; and (6) using finite element analysis software ANSYS to verify the optimize results. The method processes estimation and allocation design for the stiffness on different position fixed joint surface of bed and column and thus improves dynamic character of machine.
Description
Technical field
The present invention relates to a kind of stiffness parameters planing method of bed piece column fixed combinating surface various location, specifically
Say, be to be related to a kind of distribution of precision machine tool fixed combinating surface various location stiffness parameters based on response surface and genetic algorithm
Method for designing.
Background technology
The dynamic property of lathe is to machine finish and working (machining) efficiency important, right in traditional Machine Tool design
At each position of faying face, the process of stiffness parameters is allocated according to previous experiences, and this method is more subjective, is unfavorable for protecting
Card machine dynamic performance.
Currently for various location stiffness parameters at precision machine tool fixed combinating surface distribution design still be limited to single
The optimum method in position, its essence is that designer, according to design experiences, distributes the stiffness parameters at each position, then to limited
Individual position carries out numerical simulation analysis calculating, then therefrom selects the stiffness parameters of optimum.This method is difficult to ensure that numerous positions
The stiffness parameters put during combination are optimum to machine dynamic characteristics, and select parameter calculating needs with carrying out numerical simulation analysis simultaneously
Plenty of time to be consumed is it is impossible to meet modern machine design production requirement.
It is therefore proposed that a kind of precision machine tool fixed combinating surface various location rigidity ginseng based on response surface and genetic algorithm
Number distribution design method, solves design efficiency and the low problem of design accuracy, is present invention technical problem urgently to be resolved hurrily.
Content of the invention
The invention aims to overcoming deficiency of the prior art, provide a kind of based on response surface and genetic algorithm
Precision machine tool fixed combinating surface various location stiffness parameters distribution design method, to positions different at lathe bed column fixed combinating surface
The stiffness parameters at the place of putting are estimated and distribution design, thus improving the dynamic characteristic of lathe.
The purpose of the present invention is achieved through the following technical solutions:
A kind of Fixed Joints in Machine Tools various location stiffness parameters distribution design method, comprises the following steps:
(1) parameters of lathe to be analyzed are determined: include lathe bed column overall dimensions, faying face interface relative position
Size, the mass parameter of lathe bed column and rotary inertia parameter;
(2) whole degree of freedom of bed piece column to be analyzed are extracted;
(3) set up the kinetic model of lathe bed upright post system;
(4) determine the design space of variable, set up the equation of motion of many-degrees of freedom system non-damping vibration, with bed piece
Column head rank natural frequency, as design object, using the stiffness parameters of fixed combinating surface diverse location as design variable, is based on
Matlab software utilizes the equation of motion of many-degrees of freedom system undamped-free vibration to obtain lathe head rank natural frequency and lathe bed
The sample point of column faying face position stiffness parameter;
(5) build second-order response surface model, using genetic algorithm cyclic approximation optimization technology to Fixed Joints in Machine Tools not
It is allocated designing with the stiffness parameters of position;
(6) finite element analysis software ansys is utilized to verify optimum results: Fixed Joints in Machine Tools in step (5) is different
At position, the optimum allocation relational result of stiffness parameters is imparted on lathe bed column faying face, imports to finite element analysis software
In ansys, and add constraint, carry out model analyses;First rank natural frequency before and after stiffness parameters distribution is contrasted, if
Stiffness parameters distribution design meets requirement, then export optimum results, and terminate design process;Otherwise, re-start genetic algorithm
Optimizing, till meeting design requirement.
In step (2), the vibration of lathe bed column is summarized as 12 degree of freedom, is translation and the rotation in lathe bed x direction respectively, y
The translation in direction and rotation, the translation in z direction and rotation, the translation in column x direction and rotation, the translation in y direction and rotation, z
The translation in direction and rotation.
In step (4) using the limit range of lathe bed column faying face rigidity as variable design space, its medial bed stand
The least limit of post faying face stiffness variation is the 60% of initial faying face rigidity, and maximum limit is initial faying face rigidity
150%.
Compared with prior art, technical scheme is had the benefit that
The present invention passes through to solve the kinetics equation of exquisite system, is fixed the stiffness parameters of faying face various location
With the relation of system head rank natural frequency, set up response surface model, dynamic performance is met by genetic algorithm optimizing
Optimal Stiffness parameter, improve machine tooling efficiency and machining accuracy, decrease manufacturing cost, there is stronger grasping
The property made, design and simulation analysis for lathe provide support.
Brief description
Fig. 1 is the overall flow figure of the inventive method;
Fig. 2 is the kinetic model schematic diagram of bed piece column;
Fig. 3-1 is the overlooking the structure diagram of bed piece column fixed combinating surface;Fig. 3-2 is that bed piece column is fixed
The relative position scale diagrams of faying face.
Specific embodiment
For content of the invention, feature and effect of the present invention can be further appreciated that, hereby enumerate following examples, and coordinate accompanying drawing
Describe in detail as follows, Fig. 1 is the overall flow figure of the inventive method, and the method for designing step for specific embodiment is as follows:
(1) parameters needed for precision machine tool to be analyzed are determined
Parameters needed for precision machine tool to be analyzed are respectively lathe bed column overall dimensions, faying face interface relative position
Size, the mass parameter of lathe bed column and rotary inertia parameter.Lathe bed column to be analyzed and geometric parameter needed for faying face items
As shown in Fig. 2 wherein faying face interface relative position a size of a3、a4、a5、c4、c6、c7、c8, column rotary inertia parameter is
ix1、iy1、iz1, lathe bed rotary inertia parameter be ix2、iy2、iz2, column mass parameter is m1, lathe bed mass parameter is m2.
(2) whole degree of freedom of lathe bed column to be analyzed are extracted
For the more detailed accurate description all vibration shape of lathe bed column and the correctness for model foundation, lathe bed is stood
Post vibration is summarized as 12 degree of freedom, is translation and rotation, the translation in y direction and the rotation in lathe bed x direction respectively, z direction
Translation and rotation, the translation in column x direction and rotation, the translation in y direction and rotation, the translation in z direction and rotation, use qiCarry out table
Show.
(3) set up the kinetic model of lathe bed upright post system
Set up machine tool structure total kinetic energy, total potential energy and Rayleigh power consumption letter using Lagrange's equation and law of conservation of energy
Number.Lagrange's equation is:
In formula: xiFor system generalized coordinates, q is system generalized force, and t is system total kinetic energy.
Mass of system matrix [m], stiffness matrix [k] and damping are obtained by the power consumption of system total kinetic energy, total potential energy and Rayleigh
Matrix [c], study herein is the natural frequency of system free vibration, does not therefore consider Rayleigh power consumption and damping matrix.
For the lathe bed upright post system of research, q is by broad sense forceGeneralized linear damping forceAnd broad sense exciting force
Q' composition it may be assumed that
Formula (1) is brought into formula (2), obtains
In formula: v is the total potential energy of system, d consumes energy for system Rayleigh.
Obtain kinetic energy and the potential energy of lathe bed column respectively, the kinetic energy of lathe bed column is added and obtains final product system total kinetic energy t, and lathe bed stands
The potential energy of post is added and obtains final product system total potential energy v, is updated in formula (3), you can obtain the Lagrange's equation with regard to lathe bed column.
(4) determine the design space of variable, set up the equation of motion of many-degrees of freedom system non-damping vibration.
The distribution of lathe bed column fixed combinating surface attachment bolt assumes " concave shape ", can be seen that from Fig. 3-1 and Fig. 3-2
It is respectively provided with a stiffness parameters variable in each position, that is, every string, the position of every a line are respectively provided with variable, and setting 8 is firm altogether
The variable of degree parameter.Determine variable design space when it is contemplated that faying face rigidity actual change situation, medial bed of the present invention stands
Post faying face stiffness variation scope is respectively as follows: 60% that least limit is initial faying face rigidity, and maximum limit is initial combination
The 150% of face rigidity, the limit range of above-mentioned faying face rigidity is each Variational Design space.
The structure choosing sample point from design space to the response surface is most important, after undesirable testing site not only affects
The precision of face response surface model, or even described response surface model can be caused cannot to build, therefore theoretical next according to experimental design
Determine rational sample point.In order to build described response surface model, the EXPERIMENTAL DESIGN of the present invention selects optimum Latin hypercube method
Algorithm, this algorithm for design improves the uniformity of random Latin hypercube method design, makes factor more smart with the matching of response
Really true, thus ensureing the approximation quality in whole design space for the approximate model building.
From Lagrange's equation determined by step (3), substitute into lathe bed column overall dimensions, faying face interface relatively
The relative dimensions such as position dimension, the mass parameter of lathe bed column and rotary inertia parameter, solve power based on matlab software
Learn mass matrix and the stiffness matrix of equation, set up the equation of motion of many-degrees of freedom system non-damping vibration.Many free systems are no
The equation of motion of free decaying vibration is:
Wherein m is the mass matrix of system;K is the stiffness matrix of system;q、For the displacement of system, acceleration;
Using system head rank natural frequency as design object, many-degrees of freedom system undamped is utilized certainly based on matlab software
Obtain the functional relationship of lathe head rank natural frequency and lathe bed column faying face position stiffness parameter by the equation of motion vibrating, and
Extract described test sample point response value, be that response surface matching lays the foundation.
(5) build second-order response surface model, then utilize genetic algorithm cyclic approximation optimization technology to described precision machine tool
The stiffness parameters of fixed combinating surface diverse location are allocated designing.
Response surface model is to represent recessive described design variable in optimization problem and institute with dominant function expression
State the relation between response value.The described precision machine tool fixed combinating surface various location rigidity based on response surface and genetic algorithm
Parametric distribution method for designing selects the conventional second-order response surface model with high accuracy, for the institute of n design variable
State second-order response surface model can be expressed as:
In formula: y is output variable;xiFor design variable;N is the number of design variable;β is undetermined coefficient;
The variable sample space of points of application optimum Latin hypercube method construction, comprises 8 design variables, altogether based on matlab
Software solves and obtains lathe head rank natural frequency and the corresponding relation of lathe bed column faying face position stiffness parameter, sets up the response surface
Model.
The stiffness parameters of described precision machine tool fixed combinating surface diverse location are allocated design using genetic algorithm, one
Aspect can fully utilize the ability of searching optimum of genetic algorithm, Finding Global Optimization in fairly large solution space;
On the other hand, using genetic algorithm implinit parallelism and strong robustness the features such as, the solution time of problem can be substantially reduced, carry
The solution efficiency of high problem.When described genetic algorithm carries out matched design, the individual sum of iteration is selected to be 120 every time, maximum
Operation algebraically be 200.
(6) finite element analysis software ansys is utilized to verify optimum results
Optimum allocation relation by the precision machine tool fixed combinating surface various location stiffness parameters obtained by genetic algorithm
Result is imparted on lathe bed column faying face, imports in finite element analysis software ansys, and adds constraint, and its medial bed stands
The material properties of the big part such as post are provided that elastic modelling quantity is 1.73 × 1011, and Poisson's ratio is 0.3, and density of material is 7300kg/
m3.Between lathe bed and ground by the way of supported at three point, fix the degree of freedom in three directions, carry out model analyses.To firm
First rank natural frequency before and after degree parametric distribution is contrasted, if stiffness parameters distribution design meets required, output optimizes
As a result, and terminate design process;Otherwise, re-start genetic algorithm optimizing, till meeting design requirement.By lathe mould
The result of type model analyses proves that the distribution design method of the present invention is correctly effective, has stronger operability.
The present invention is not limited to embodiments described above.Above the description of specific embodiment is intended to describe and say
Bright technical scheme, above-mentioned specific embodiment is only schematically, is not restricted.Without departing from this
In the case of invention objective and scope of the claimed protection, those of ordinary skill in the art also may be used under the enlightenment of the present invention
Make the concrete conversion of a lot of forms, these belong within protection scope of the present invention.
Claims (3)
1. a kind of Fixed Joints in Machine Tools various location stiffness parameters distribution design method is it is characterised in that include following walking
Rapid:
(1) parameters of lathe to be analyzed are determined: include lathe bed column overall dimensions, faying face interface relative position chi
The very little, mass parameter of lathe bed column and rotary inertia parameter;
(2) whole degree of freedom of bed piece column to be analyzed are extracted;
(3) set up the kinetic model of lathe bed upright post system;
(4) determine the design space of variable, set up the equation of motion of many-degrees of freedom system non-damping vibration, with bed piece column
First rank natural frequency, as design object, using the stiffness parameters of fixed combinating surface diverse location as design variable, is based on
Matlab software utilizes the equation of motion of many-degrees of freedom system undamped-free vibration to obtain lathe head rank natural frequency and lathe bed
The sample point of column faying face position stiffness parameter;
(5) build second-order response surface model, using genetic algorithm cyclic approximation optimization technology to Fixed Joints in Machine Tools difference position
The stiffness parameters put are allocated designing;
(6) finite element analysis software ansys is utilized to verify optimum results: by Fixed Joints in Machine Tools diverse location in step (5)
The optimum allocation relational result of place's stiffness parameters is imparted on lathe bed column faying face, imports to finite element analysis software ansys
In, and add constraint, carry out model analyses;First rank natural frequency before and after stiffness parameters distribution is contrasted, if rigidity
Parametric distribution design meets requirement, then export optimum results, and terminate design process;Otherwise, re-start genetic algorithm optimizing,
Till meeting design requirement.
2. a kind of Fixed Joints in Machine Tools various location stiffness parameters distribution design method according to claim 1, it is special
Levy and be, in step (2), the vibration of lathe bed column is summarized as 12 degree of freedom, is translation and the rotation in lathe bed x direction respectively, y
The translation in direction and rotation, the translation in z direction and rotation, the translation in column x direction and rotation, the translation in y direction and rotation, z
The translation in direction and rotation.
3. a kind of Fixed Joints in Machine Tools various location stiffness parameters distribution design method according to claim 1, it is special
Levy and be, in step (4) using the limit range of lathe bed column faying face rigidity as variable design space, its medial bed column
The least limit of faying face stiffness variation is the 60% of initial faying face rigidity, and maximum limit is initial faying face rigidity
150%.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610740781.7A CN106354921A (en) | 2016-08-26 | 2016-08-26 | Allocation design method for stiffness on different position of fixed joint surface of machine |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610740781.7A CN106354921A (en) | 2016-08-26 | 2016-08-26 | Allocation design method for stiffness on different position of fixed joint surface of machine |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106354921A true CN106354921A (en) | 2017-01-25 |
Family
ID=57856036
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610740781.7A Pending CN106354921A (en) | 2016-08-26 | 2016-08-26 | Allocation design method for stiffness on different position of fixed joint surface of machine |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106354921A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108089457A (en) * | 2017-11-29 | 2018-05-29 | 北京航空航天大学 | A kind of process quality control method based on online finite element simulation |
CN108593249A (en) * | 2018-06-01 | 2018-09-28 | 中国科学院力学研究所 | A kind of Stiffness Distribution of wind tunnel experiment model support structure adjusts and its optimization method |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102052999A (en) * | 2010-11-05 | 2011-05-11 | 北京工业大学 | Fixed joint surface unit area dynamic property identification experiment device and identification method thereof |
CN102063548A (en) * | 2011-01-07 | 2011-05-18 | 西安交通大学 | Method for optimally designing dynamic property of complete machine tool |
CN102096749A (en) * | 2011-03-22 | 2011-06-15 | 纽威数控装备(苏州)有限公司 | Static and modal analysis method of numerical control machine tool with linear guide rails |
CN103020358A (en) * | 2012-12-13 | 2013-04-03 | 天津大学 | Construction method of adaptive dynamic design platform aiming at mechanical device |
CN103995937A (en) * | 2014-05-27 | 2014-08-20 | 天津大学 | Precision machine tool mass matching design method based on response surface and genetic algorithm |
CN104573201A (en) * | 2014-12-23 | 2015-04-29 | 天津大学 | Quality matching design method of precision machine tool |
-
2016
- 2016-08-26 CN CN201610740781.7A patent/CN106354921A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102052999A (en) * | 2010-11-05 | 2011-05-11 | 北京工业大学 | Fixed joint surface unit area dynamic property identification experiment device and identification method thereof |
CN102063548A (en) * | 2011-01-07 | 2011-05-18 | 西安交通大学 | Method for optimally designing dynamic property of complete machine tool |
CN102096749A (en) * | 2011-03-22 | 2011-06-15 | 纽威数控装备(苏州)有限公司 | Static and modal analysis method of numerical control machine tool with linear guide rails |
CN103020358A (en) * | 2012-12-13 | 2013-04-03 | 天津大学 | Construction method of adaptive dynamic design platform aiming at mechanical device |
CN103995937A (en) * | 2014-05-27 | 2014-08-20 | 天津大学 | Precision machine tool mass matching design method based on response surface and genetic algorithm |
CN104573201A (en) * | 2014-12-23 | 2015-04-29 | 天津大学 | Quality matching design method of precision machine tool |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108089457A (en) * | 2017-11-29 | 2018-05-29 | 北京航空航天大学 | A kind of process quality control method based on online finite element simulation |
CN108593249A (en) * | 2018-06-01 | 2018-09-28 | 中国科学院力学研究所 | A kind of Stiffness Distribution of wind tunnel experiment model support structure adjusts and its optimization method |
CN108593249B (en) * | 2018-06-01 | 2019-09-06 | 中国科学院力学研究所 | A kind of Stiffness Distribution of wind tunnel experiment model support structure adjusts and its optimization method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103995937B (en) | Precision machine tool mass matching design method based on response surface and genetic algorithm | |
CN104007700B (en) | A kind of key geometric error discrimination method of three axis numerically controlled machine based on overall situation sensitivity analysis | |
CN102566424B (en) | Method for executing layout optimization on model analysis measurable nodes of numerical control machining equipment | |
CN101923590B (en) | High-efficiency Latin hypercube experimental design method | |
CN103823945A (en) | Flutter stability domain modeling approach for face cutting process | |
CN101537567B (en) | Modulization-based method for designing reconfigurable machine tool | |
CN103399996B (en) | Multi-target topological optimization design method for flexible mechanism for fast servo tool rest | |
CN104156501A (en) | Optimized design method of overall static rigidity of machine | |
CN109976259A (en) | A kind of robot free curve surface work pieces polishing off-line programing method based on VTK | |
CN105094047B (en) | A kind of extracting method in the important geometric error source of lathe based on extension Fourier's amplitude | |
CN103020358A (en) | Construction method of adaptive dynamic design platform aiming at mechanical device | |
CN103390082A (en) | Steady optimal distributing method for geometric accuracy of multi-shaft machine tool | |
CN103995914A (en) | Structure optimization design method for gear grinding machine stand column on basis of dynamic characteristic analysis | |
CN104573201A (en) | Quality matching design method of precision machine tool | |
CN105446264A (en) | Feature-based machine tool accuracy optimization design method | |
CN111209639B (en) | Efficient quantitative modeling method for impeller-bearing-rotor system | |
CN110399675A (en) | A kind of elevator door multi-objective optimization design of power method based on genetic algorithm | |
CN106354921A (en) | Allocation design method for stiffness on different position of fixed joint surface of machine | |
CN104950798A (en) | Time-variant reliability based multi-disciplinary design optimization method for numerically-controlled machine tool spindles | |
CN102279126A (en) | Method for determining material performance parameter by combination of testing and CAE simulation | |
CN103823787B (en) | Multi-turning-tool parallel turning stability judgment method based on differential quadrature method | |
CN102393679B (en) | Method for obtaining relative dynamic stiffness of multi-axis processing system and application thereof | |
CN101738983A (en) | Airplane complex construction member numerical control processing tool standard locator automatically selecting method | |
CN104850711A (en) | Mechanical and electrical product design standard selecting method | |
CN112364547B (en) | Global fast estimation method for complete machine dynamics performance of machine tool |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170125 |
|
WD01 | Invention patent application deemed withdrawn after publication |