CN107967388A - The design method of pipe cutting machine clamping force - Google Patents
The design method of pipe cutting machine clamping force Download PDFInfo
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- CN107967388A CN107967388A CN201711212938.XA CN201711212938A CN107967388A CN 107967388 A CN107967388 A CN 107967388A CN 201711212938 A CN201711212938 A CN 201711212938A CN 107967388 A CN107967388 A CN 107967388A
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Abstract
The present invention relates to a kind of design method of pipe cutting machine clamping force, comprise the following steps：Establish the computation model of pipe cutting machine clamping force；The optimizable design variable of pipe cutting machine is chosen in the structural parameters of pipe cutting machine；Numerical value of the design variable in scope of design is calculated using the computation model of pipe cutting machine clamping force, and design variable is chosen in the corresponding numerical value of multiple levels according to the result of calculating；And design variable is calculated in the corresponding numerical value of multiple levels using the computation model of Normal rule and combination pipe cutting machine clamping force, obtain the optimal solution of design variable.After the design variable of pipe cutting machine is determined, design variable is calculated in the corresponding numerical value of multiple levels by the computation model of Normal rule and combination pipe cutting machine clamping force, it can obtain the optimal solution of design variable, modification and tentative calculation are repeated to the numerical value of optimizable design variable without designer, so as to improve the design efficiency of pipe cutting machine clamping force.
Description
Technical field
The present invention relates to Machine Tool design field, more particularly to a kind of design method of pipe cutting machine clamping force.
Background technology
The pipe cutting machine special mechanism indispensable as tubular object extruding, has the yield rate and dimensional accuracy of tubular object extruding
Highly important influence.A key index of the clamping force as pipe cutting machine design success or failure, if the pipe cutting machine clamping force of design is not
Meet design requirement, tubing cannot be accurately positioned and be clamped, thus cause tubing to be unable to machine-shaping, or even also occur that
Tubing to be processed slides threat to life property.
Traditional pipe cutting machine clamping force design generally use empirical equation and trial-and-error method.But due to the clamping force of pipe cutting machine
The optimizable design variable being related to is more complicated, larger using empirical equation error, and usually requires that designer is multiple to repair
Preferable designing scheme could be obtained after positive design and actual measurement circulation.Therefore, the design cycle of traditional pipe cutting machine clamping force compared with
It is long, so that the design efficiency of pipe cutting machine clamping force is relatively low.
The content of the invention
Based on this, it is necessary to provide a kind of design for the pipe cutting machine clamping force that can improve pipe cutting machine clamping force design efficiency
Method.
A kind of design method of pipe cutting machine clamping force, comprises the following steps：
Establish the computation model of pipe cutting machine clamping force；
The optimizable design variable of pipe cutting machine is chosen in the structural parameters of pipe cutting machine；
Numerical value of the design variable in scope of design is counted using the computation model of the pipe cutting machine clamping force
Calculate, and the design variable is chosen in the corresponding numerical value of multiple levels according to the result of the calculating；And
Using Normal rule and with reference to the pipe cutting machine clamping force computation model to the design variable in multiple levels
Corresponding numerical value is calculated, and obtains the optimal solution of the design variable.
In one of the embodiments, the design variable includes the structure size, friction coefficient, input of the pipe cutting machine
Power, Poisson's ratio, elasticity modulus, contact angle, contact area and clamped position structural parameters in it is at least one.
In one of the embodiments, it is described establish pipe cutting machine clamping force computation model the step of include：
Establish the structural model of pipe cutting machine；
Selection calculates trellis-type, and division calculates grid on the geometrical model of the pipe cutting machine；
Obtain boundary condition, material properties and the contact conditions of pipe cutting machine；And
According to the geometrical model of the pipe cutting machine, the calculating grid, the boundary condition, material properties and described
Contact conditions establish the computation model of the pipe cutting machine clamping force.
In one of the embodiments, it is described establish pipe cutting machine structural model the step of include：
Pipe cutting machine is reduced to multiple structural elements, and using the structural element as the most basic of the composition pipe cutting machine
Unit；And
The structural model of the pipe cutting machine is established according to the structural element.
In one of the embodiments, the boundary condition includes the form and size of load, and the material properties include
When elasticity modulus, the contact conditions include the selection of master-slave contact surface and the normal force of contact surface to density, the Poisson of material
With the relation of frictional force.
In one of the embodiments, the design variable is being designed using the computation model of the pipe cutting machine clamping force
In the range of numerical value calculated, and the design variable is chosen in the corresponding numerical value of multiple levels according to the result of the calculating
The step of include：
The scope of design of the design variable is set according to the actual demand of the clamping force；
Numerical value of the design variable in scope of design is counted using the computation model of the pipe cutting machine clamping force
Calculate, obtain the numerical value change relation of the corresponding clamping force of the design variable；
Judge whether the numerical value of the corresponding clamping force of the design variable is greater than or equal to the default of the clamping force
Numerical value, and the scope of design of the design variable is optimized according to the judging result；And
According to the numerical value change relation of the corresponding clamping force of the design variable, become in the design of optimization
The design variable is chosen in the scope of design of amount in the corresponding numerical value of multiple levels.
In one of the embodiments, using Normal rule and with reference to the pipe cutting machine clamping force computation model to described
Design variable includes the step of the corresponding numerical value of multiple levels is calculated, obtains the optimal solution of the design variable：
The corresponding multiple level values of the design variable of selection are established into orthogonal arrage；
The data of the orthogonal arrage are calculated using the computation model of the pipe cutting machine clamping force, are obtained described orthogonal
The numerical value of the corresponding clamping force of data of table；
The data of the orthogonal arrage and its numerical value of the corresponding clamping force are calculated using the Normal rule,
The design variable is obtained in each horizontal penalty coefficient；And
According to the design variable each horizontal penalty coefficient numerical value change trend, obtain it is described design become
The optimal solution of amount.
In one of the embodiments, it is described corresponding to the maximum penalty coefficient under a certain design variable
Horizontal numerical value is the optimal solution of the design variable.
In one of the embodiments, the design variable include it is multiple, it is described according to the design variable in each institute
Further included after the step of stating the numerical value change trend of horizontal penalty coefficient, obtaining the optimal solution of the design variable：
The penalty coefficient of each design variable is calculated using the Normal rule, obtains each design
The very poor value of variable；And
According to the numerical values recited relation of the very poor value of each design variable, the influence of each design variable is obtained
Degree size.
In one of the embodiments, the very poor value of the design variable is bigger, and the influence degree of the design variable is got over
Greatly.
The design method of above-mentioned pipe cutting machine clamping force, establishes the computation model of pipe cutting machine clamping force, in the structure of pipe cutting machine
The optimizable design variable of pipe cutting machine is chosen in parameter, using the computation model of pipe cutting machine clamping force to design variable in design model
Numerical value in enclosing is calculated, and chooses design variable in the corresponding numerical value of multiple levels according to the result of calculating；Using orthogonal
The computation model of rule and combination pipe cutting machine clamping force calculates design variable in the corresponding numerical value of multiple levels, is set
Count the optimal solution of variable.Therefore, after the design variable of pipe cutting machine is determined, by Normal rule and pipe cutting machine clamping force is combined
Computation model design variable is calculated in the corresponding numerical value of multiple levels, the optimal solution of design variable can be obtained, and
Need not designer modification and tentative calculation are repeated to the numerical value of optimizable design variable, so as to improve pipe cutting machine clamping force
Design efficiency.
Brief description of the drawings
Fig. 1 is the flow chart of the design method of pipe cutting machine clamping force in one embodiment of the invention；
Fig. 2 is that design variable is contrasted in the corresponding clamping force of the correspondence numerical value of varying level in one embodiment of the invention
Schematic diagram.
Embodiment
For the ease of understanding the present invention, the present invention is described more fully below with reference to relevant drawings.In attached drawing
Give the better embodiment of the present invention.But the present invention can realize in many different forms, however it is not limited to herein
Described embodiment.On the contrary, the purpose for providing these embodiments is to make to understand more the disclosure
Add thorough and comprehensive.
It should be noted that when element is referred to as " being fixed on " another element, it can be directly on another element
Or there may also be element placed in the middle.When an element is considered as " connection " another element, it can be directly connected to
To another element or it may be simultaneously present centering elements.Term as used herein " vertical ", " horizontal ", " left side ",
For illustrative purposes only, it is unique embodiment to be not offered as " right side " and similar statement.
Unless otherwise defined, all of technologies and scientific terms used here by the article is with belonging to technical field of the invention
The normally understood implication of technical staff is identical.Term used in the description of the invention herein is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.Term as used herein " and/or " include one or more
The arbitrary and all combination of relevant Listed Items.
Referring to Fig. 1, the design method of the pipe cutting machine clamping force in one embodiment of the invention, comprises the following steps：
S100, establishes the computation model of pipe cutting machine clamping force.
The design method of pipe cutting machine clamping force in the present invention is that the simulation softward (ABAQUS) based on finite element is realized.
Further, above-mentioned steps S100 is specifically included：S110, establishes the structural model of pipe cutting machine.S120, selection calculate grid class
Type, and division calculates grid on the geometrical model of pipe cutting machine.In the present embodiment, the four sides of grid selection second-order correction is calculated
Volume mesh unit, sizing grid can use the overall situation 15 and local 5.
S130, obtains the boundary condition, material properties and contact conditions of pipe cutting machine.In one embodiment, boundary condition
Form and size including load.Material properties include the density of material, Poisson when elasticity modulus.Contact conditions include principal and subordinate
The selection of contact surface and the relation of the normal force of contact surface and frictional force.Further, main contact surface can be plane and grid ruler
Very little larger face, normal force and the frictional force direct proportionality, i.e. f=μ F of contact surfaceN.S140, according to the geometry of pipe cutting machine
Model, calculate the computation model that grid, boundary condition, material properties and contact conditions establish pipe cutting machine clamping force.
It is pointed out that further, step S110 may include：S112, multiple structural elements are reduced to by pipe cutting machine,
And using structural element as the most basic unit for forming pipe cutting machine.S114, the structural model of pipe cutting machine is established according to structural element.
S200, chooses the optimizable design variable of pipe cutting machine in the structural parameters of pipe cutting machine.
In theory, in the computation model of pipe cutting machine clamping force, the folder of all structural parameters of pipe cutting machine to pipe cutting machine
Clamp force can have an impact, but effect has difference, influence big structural parameters and the clamping force of pipe cutting machine is designed to pass
It is important, and influencing small structural parameters can suitably be selected in the range of actual demand is met.Thus, it is follow-up in order to simplify
Optimization process, it is necessary to which choose influences big structural parameters as design variable to the clamping force of pipe cutting machine.
In one embodiment, design variable includes structure size, friction coefficient, input power, Poisson's ratio, the elasticity of pipe cutting machine
Modulus, contact angle, contact area and clamped position structural parameters in it is at least one.Specifically in the present embodiment, can make
Include input power P, friction coefficient μ and elastic modulus E for the structural parameters of design variable.
S300, calculates numerical value of the design variable in scope of design using the computation model of pipe cutting machine clamping force,
And design variable is chosen in the corresponding numerical value of multiple levels according to the result of calculating.
Further, above-mentioned steps S300 is specifically included：
S310, the scope of design of design variable is set according to the actual demand of clamping force.
Specifically, the excursion of scope of design, that is, design variable, scope of design should meet and meet the clamping of pipe cutting machine
The actual demand of power.When being optimized to design variable, design variable can only change in scope of design.
For design variable input power P, according to the practical experience of pipe cutting machine operation, the design model of input power P
Enclose between 1.5 to 2.5 times of the clamping force of pipe cutting machine actual demand, in the present embodiment, the clamping of pipe cutting machine actual demand
Power (i.e. the default value of pipe cutting machine clamping force) can be 5000N, therefore the scope of design of input power P is 7500~12500N.
In the present embodiment, friction coefficient can be correspondingly arranged respectively according to the actual range of friction coefficient μ and elastic modulus E
The scope of design of μ and elastic modulus E.
S320, calculates numerical value of the design variable in scope of design using the computation model of pipe cutting machine clamping force,
Obtain the numerical value change relation of the corresponding clamping force of design variable.
In the present embodiment, using pipe cutting machine clamping force computation model to numerical value of the design variable in scope of design into
When row calculates, one in design variable input power P, friction coefficient μ and elastic modulus E is chosen successively and is used as variable, and other
Design variable is then decided to be initial value, so as to obtain numerical value change relation of each design variable with corresponding clamping force.
For design variable input power P, input power P is chosen as variable, friction coefficient μ and elastic modulus E positioning
Initial value, using pipe cutting machine clamping force computation model to the scope of design of input power P for the numerical value in 7500~12500N into
Row calculates, and thus obtains numerical value change relations of the input power P with corresponding clamping force.
S330, judges whether the numerical value of the corresponding clamping force of design variable is greater than or equal to the default value of clamping force, and
The scope of design of design variable is optimized according to judging result.
Judge whether the numerical value of the corresponding clamping forces of input power P is greater than or equal to 5000N, and according to judging result to input
7500~12500N of scope of design of power P is optimized, and the scope of design 9600 of the input power P thus optimized~
12500N。
Judge whether design variable friction coefficient μ and the numerical value of the corresponding clamping force of elastic modulus E are greater than or equal to successively
The default value of clamping force, and according to judging result respectively to the scope of design of design variable friction coefficient μ and elastic modulus E into
Row optimization.
S340, according to the numerical value change relation of the corresponding clamping force of design variable, sets in the design variable of optimization
Design variable is chosen in the range of meter in the corresponding numerical value of multiple levels.
Numerical value change relation according to input power P with corresponding clamping force, in the scope of design 9600 of the input power P of optimization
Numerical value of the input power P in the level of the 1st, 2 and 3 can be chosen in~12500N respectively, specifically, the 1st, 2 and 3 of input power P are horizontal
Numerical value be respectively 10000N, 11000N and 12000N.
Similar to the acquisition principle of multiple horizontal numerical value of input power P, the 1st, 2 and 3 of friction coefficient μ thus can be chosen
Horizontal numerical value is respectively 0,0.025 and 0.05, and the level of the 1st, 2 and 3 of elastic modulus E numerical value be respectively 190GPa,
200GPa and 210GPa.
It is pointed out that in the present embodiment, design variable input power P, three of friction coefficient μ and elastic modulus E
Horizontal numerical value is in the Long-term change trend gradually increased.
S400, using Normal rule and the computation model of combination pipe cutting machine clamping force is to design variable and its in multiple levels
Corresponding numerical value is calculated, and obtains the optimal solution of design variable.
S410, orthogonal arrage is established by the design variable of selection with it in the corresponding numerical value of multiple levels.
As shown in table 1, specifically, design variable input power P, friction coefficient μ and the elastic modulus E of selection and design are become
Amount input power P, friction coefficient μ and corresponding three level values of elastic modulus E establish orthogonal arrage.As shown in Table 1, design becomes
Measure the orthogonal arrage that input power P, friction coefficient μ and elastic modulus E permutation and combination form 9 groups of data.
Table 1
S420, calculates the data of orthogonal arrage using the computation model of pipe cutting machine clamping force, obtains the number of orthogonal arrage
According to the numerical value of corresponding clamping force.
9 groups of data of orthogonal arrage are respectively calculated using the computation model of pipe cutting machine clamping force, obtain the 9 of orthogonal arrage
The numerical value of the corresponding clamping force F of group data, and the numerical value of obtained corresponding clamping force F is input to the corresponding clamping force F of table 1
Row column in.
S430, calculates the data of orthogonal arrage and its numerical value of corresponding clamping force using Normal rule, is set
Variable is counted in each horizontal penalty coefficient.
For convenience of description, design variable is represented with T, its corresponding certain level is represented with i, the i-th water of design variable T
Put down corresponding penalty coefficient (kTi) calculation formula it is as follows：
kTi=∑ FTi/N
kTiThe horizontal corresponding penalty coefficient of the i-th of-design variable T；
FTiThe horizontal corresponding clamping force of the i-th of-design variable T；
The horizontal number of the i-th of N-design variable T.
Specifically in the present embodiment, design variable input power P, friction coefficient μ and elastic modulus E are used into A, B and C table respectively
Show, design variable input power P, friction coefficient μ and the corresponding three horizontal sequence numbers of elastic modulus E are denoted as 1,2 and 3.With input
The horizontal corresponding penalty coefficient (k in the 1st of power P (A)A1) exemplified by illustrate：
kA1=∑ FA1/ 3=(6213+5051+4187)/3=5150.333；
K can similarly be obtainedA2=5663；kA3=6181；
According to above-mentioned penalty coefficient (kTi) calculation formula can calculate design variable friction coefficient μ (B) and springform respectively
Each comfortable 1st, 2 and 3 horizontal penalty coefficient of E (C) is measured, wherein：
kB1=6839.667；kB2=5558.333；kB3=4596.333；
kC1=5623.667；kC2=5633.333；kC3=5737.333；
S440, according to design variable in the numerical value change trend of each horizontal penalty coefficient, obtains design variable most
Excellent solution.
Referring to Fig. 2, specifically, according to design variable input power P (A), friction coefficient μ (B) and elastic modulus E (C)
The result that penalty coefficient calculates understands that penalty coefficient magnitude relationship horizontal input power P (A) the 1st, 2 and 3 is kA1<kA2<kA3, kB1
>kB2>kB3, kC1<kC2<kC3, it follows that input power P (A) increases, the clamping force of pipe cutting machine also increases therewith, therefore input power P
(A) optimal solution is A3；Friction coefficient μ (B) increases, and the clamping force of pipe cutting machine reduces therewith, therefore friction coefficient μ (B) is optimal
Solve as B1；Elastic modulus E (C) increases, and the clamping force of pipe cutting machine increases therewith, therefore the optimal solution of elastic modulus E (C) is C3.
That is, specifically, under a certain design variable T, maximum penalty coefficient (kTi) corresponding to i levels numerical value
The as optimal solution of design variable T.Therefore design variable input power P (A), friction coefficient μ (B) and elastic modulus E (C) it is optimal
Solution is combined as A3B1C3, i.e. input power P (A) is 12000N, and friction coefficient μ (B) is 0, and elastic modulus E (C) is 210GPa.
It is understood that further, due to design variable may include it is multiple.In the present embodiment, design variable can
Including input power P (A), friction coefficient μ (B) and elastic modulus E (C).Become according to the numerical value change of the penalty coefficient of design variable
Gesture, the step S440 for obtaining the optimal solution of design variable may also include afterwards：
S450, calculates the penalty coefficient of each design variable using Normal rule, obtains each design variable
Very poor value.
Specifically, the very poor value (R of design variable TT) calculation formula it is as follows：
RT=[kT1, kT2..., kTi]max-[kT1, kT2..., kTi]min
RTThe very poor value of-design variable T；
kTiThe horizontal corresponding penalty coefficient of the i-th of-design variable T；
[kT1, kT2..., kTi]maxThe maximum of the horizontal corresponding penalty coefficient in the 1st to i of-design variable T；
[kT1, kT2..., kTi]minThe minimum value of the horizontal corresponding penalty coefficient in the 1st to i of-design variable T.
For convenience of understanding, with the very poor value (R of input power P (A)A) exemplified by illustrate：
RA=[kA1, kA2, kA3]max-[kA1, kA2, kA3]min
=[5150.333,5663,6181]max- [5150.333,5663,6181]min
=6181-5150.333
=1030.667
According to above-mentioned very poor value (RT) calculation formula can calculate design variable friction coefficient μ (B) and elastic modulus E respectively
(C) very poor value, wherein：
RB=2243.333；RC=113.667；
S460, according to the numerical values recited relation of the very poor value of each design variable, obtains the influence journey of each design variable
Spend size.
Specifically, the number according to the very poor value of design variable input power P (A), friction coefficient μ (B) and elastic modulus E (C)
It is worth magnitude relationship, so that it is determined that the influence degree of design variable input power P (A), friction coefficient μ (B) and elastic modulus E (C), its
In, the very poor value of design variable is bigger, and the influence degree of design variable is bigger, that is, illustrates clamping of the design variable to pipe cutting machine
The influence of power is bigger.
In the present embodiment, according to the very poor of design variable input power P (A), friction coefficient μ (B) and elastic modulus E (C)
Knowable to the result of the calculating of value, RB>RA>RC, it follows that design variable input power P (A), friction coefficient μ (B) and elasticity modulus
The influence degree of E (C) put in order from big to small for：Friction coefficient μ (B), input power P (A), elastic modulus E (C).
The design method of above-mentioned pipe cutting machine clamping force, establishes the computation model of pipe cutting machine clamping force, in the structure of pipe cutting machine
The optimizable design variable of pipe cutting machine is chosen in parameter, using the computation model of pipe cutting machine clamping force to design variable in design model
Numerical value in enclosing is calculated, and chooses design variable in the corresponding numerical value of multiple levels according to the result of calculating；Using orthogonal
The computation model of rule and combination pipe cutting machine clamping force calculates design variable in the corresponding numerical value of multiple levels, is set
Count the optimal solution of variable.Therefore, after the design variable of pipe cutting machine is determined, by Normal rule and pipe cutting machine clamping force is combined
Computation model design variable is calculated in the corresponding numerical value of multiple levels, the optimal solution of design variable can be obtained, and
Need not designer modification and tentative calculation are repeated to the numerical value of optimizable design variable, so as to improve pipe cutting machine clamping force
Design efficiency.
Each technical characteristic of above example can be combined arbitrarily, to make description succinct, not to above-described embodiment
In technical characteristic it is all possible combination be all described, as long as however, contradiction is not present in the combination of these technical characteristics, all
It is considered to be the scope of this specification record.
Above example only expresses the several embodiments of the present invention, its description is more specific and detailed, but can not
Therefore it is construed as limiting the scope of the patent.It should be pointed out that for those of ordinary skill in the art,
On the premise of not departing from present inventive concept, various modifications and improvements can be made, these belong to protection scope of the present invention.
Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of design method of pipe cutting machine clamping force, it is characterised in that comprise the following steps：
Establish the computation model of pipe cutting machine clamping force；
The optimizable design variable of pipe cutting machine is chosen in the structural parameters of pipe cutting machine；
Numerical value of the design variable in scope of design is calculated using the computation model of the pipe cutting machine clamping force, and
The design variable is chosen in the corresponding numerical value of multiple levels according to the result of the calculating；And
It is using Normal rule and corresponding in multiple levels to the design variable with reference to the computation model of the pipe cutting machine clamping force
Numerical value calculated, obtain the optimal solution of the design variable.
2. the design method of pipe cutting machine clamping force according to claim 1, it is characterised in that the design variable includes institute
State structure size, friction coefficient, input power, Poisson's ratio, elasticity modulus, contact angle, contact area and the clamping position of pipe cutting machine
It is at least one in the structural parameters put.
3. the design method of pipe cutting machine clamping force according to claim 1, it is characterised in that described to establish pipe cutting machine clamping
The step of computation model of power, includes：
Establish the structural model of pipe cutting machine；
Selection calculates trellis-type, and division calculates grid on the geometrical model of the pipe cutting machine；
Obtain boundary condition, material properties and the contact conditions of pipe cutting machine；And
According to the geometrical model of the pipe cutting machine, calculating grid, the boundary condition, the material properties and the contact
Condition establishes the computation model of the pipe cutting machine clamping force.
4. the design method of pipe cutting machine clamping force according to claim 3, it is characterised in that the knot for establishing pipe cutting machine
The step of structure model, includes：
Pipe cutting machine is reduced to multiple structural elements, and using the structural element as the most basic list for forming the pipe cutting machine
Member；And
The structural model of the pipe cutting machine is established according to the structural element.
5. the design method of pipe cutting machine clamping force according to claim 3, it is characterised in that the boundary condition includes lotus
The form and size of load, the material properties include the density of material, Poisson when elasticity modulus, and the contact conditions include master
Selection and the normal force of contact surface and the relation of frictional force from contact surface.
6. the design method of pipe cutting machine clamping force according to claim 1, it is characterised in that clamped using the pipe cutting machine
The computation model of power calculates numerical value of the design variable in scope of design, and is chosen according to the result of the calculating
The design variable includes in the step of multiple horizontal corresponding numerical value：
The scope of design of the design variable is set according to the actual demand of the clamping force；
Numerical value of the design variable in scope of design is calculated using the computation model of the pipe cutting machine clamping force, is obtained
The numerical value change relation of the clamping force corresponding to the design variable；
Judge whether the numerical value of the corresponding clamping force of the design variable is greater than or equal to the default value of the clamping force,
And the scope of design of the design variable is optimized according to the judging result；And
According to the numerical value change relation of the corresponding clamping force of the design variable, in the design variable of optimization
The design variable is chosen in scope of design in the corresponding numerical value of multiple levels.
7. the design method of pipe cutting machine clamping force according to claim 1, it is characterised in that using Normal rule and combine
The computation model of the pipe cutting machine clamping force calculates the design variable in the corresponding numerical value of multiple levels, obtains described
The step of optimal solution of design variable, includes：
The corresponding multiple level values of the design variable of selection are established into orthogonal arrage；
The data of the orthogonal arrage are calculated using the computation model of the pipe cutting machine clamping force, obtain the orthogonal arrage
The numerical value of the corresponding clamping force of data；
The data of the orthogonal arrage and its numerical value of the corresponding clamping force are calculated using the Normal rule, are obtained
The design variable is in each horizontal penalty coefficient；And
According to the design variable in the numerical value change trend of each horizontal penalty coefficient, the design variable is obtained
Optimal solution.
8. the design method of pipe cutting machine clamping force according to claim 7, it is characterised in that in a certain design variable
Under, the horizontal numerical value corresponding to the maximum penalty coefficient is the optimal solution of the design variable.
9. the design method of pipe cutting machine clamping force according to claim 7, it is characterised in that the design variable includes more
It is a, it is described according to the design variable each horizontal penalty coefficient numerical value change trend, obtain it is described design become
Further included after the step of optimal solution of amount：
The penalty coefficient of each design variable is calculated using the Normal rule, obtains each design variable
Very poor value；And
According to the numerical values recited relation of the very poor value of each design variable, the influence degree of each design variable is obtained
Size.
10. the design method of pipe cutting machine clamping force according to claim 9, it is characterised in that the pole of the design variable
Difference is bigger, and the influence degree of the design variable is bigger.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100106471A1 (en) * | 2008-10-28 | 2010-04-29 | Airbus Espana S.L. | Computer-Aided Method for a Cost-Optimized Calculation of Aerodynamic Forces on an Aircraft |
| CN103106307A (en) * | 2013-02-02 | 2013-05-15 | 深圳市大族激光科技股份有限公司 | Transverse beam design method of laser cutting machine |
| CN103218500A (en) * | 2013-05-13 | 2013-07-24 | 湖南大学 | Robust automobile body material matching method based on multi-objective continuous orthogonal method |
| CN103544551A (en) * | 2013-11-12 | 2014-01-29 | 北京宜能高科科技有限公司 | Method and device for operation optimization of steam power system |
-
2017
- 2017-11-28 CN CN201711212938.XA patent/CN107967388A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100106471A1 (en) * | 2008-10-28 | 2010-04-29 | Airbus Espana S.L. | Computer-Aided Method for a Cost-Optimized Calculation of Aerodynamic Forces on an Aircraft |
| CN103106307A (en) * | 2013-02-02 | 2013-05-15 | 深圳市大族激光科技股份有限公司 | Transverse beam design method of laser cutting machine |
| CN103218500A (en) * | 2013-05-13 | 2013-07-24 | 湖南大学 | Robust automobile body material matching method based on multi-objective continuous orthogonal method |
| CN103544551A (en) * | 2013-11-12 | 2014-01-29 | 北京宜能高科科技有限公司 | Method and device for operation optimization of steam power system |
Non-Patent Citations (2)
| Title |
|---|
| 刘成娟: "带金属嵌件打印机板注塑成型数值模拟与工艺优化", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
| 吴永宏: "重载锻造操作机夹持机构的优化设计及相似性研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
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