CN106514129B - The non-homogeneous surplus configuration method of numerical control programming based on machining feature intermediate state rigidity - Google Patents
The non-homogeneous surplus configuration method of numerical control programming based on machining feature intermediate state rigidity Download PDFInfo
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Abstract
A kind of non-homogeneous surplus configuration method based on machining feature intermediate state rigidity, this method will be combined according to the technique information extracted on part geometry information and artistic tree, processing sequence based on machining feature, establish the intermediate state of machining feature, and propose rigid measurement index, wall thickness is corresponded to area ratio with machined surface to measure the corresponding rigidity of machined surface, using the rigidity measurement index as standard, non-homogeneous margin value is distributed for finishing, and automatically generates processing driving geometry.The present invention realizes the optimization for considering the allowance for finish of machining feature intermediate state rigidity, effectively increases part integral rigidity using non-homogeneous surplus programmed method, ensure that the processing quality of part.
Description
Technical field
The present invention relates to a kind of method for fine finishing, the surplus optimization method of especially a kind of finishing, specifically one
Non-homogeneous surplus implementation method of the kind based on machining feature intermediate state rigidity.
Background technique
The size of aircraft structure is big, and structure is complicated, and requirement on machining accuracy is high, and there are many thin-wall part, to make machining deformation not
Can be excessive, often to guarantee integral rigidity requirement in process, traditional uniform surplus is programmed due to not accounting for processing
Sequentially, the finishing of all machined surfaces all distributes same surplus, but actually leads to different add due to processing sequence problem
The intermediate machining state of its adjacent machining feature of work face is different, therefore wall thickness corresponding to machined surface is different, and evenly distributed
Surplus then causes the allowance distribution of certain machined surfaces can be made unreasonable in process, thus make the reduction of part integral rigidity,
It finally deforms excessive, makes part overall processing inefficiency.
For the uniform surplus of thin-wall part configure brought by problem on deformation, consider intermediate state based on machining feature and
The non-homogeneous surplus configuration of its rigidity obtains the processing sequence based on machining feature by processing technology and machining feature, thus root
The intermediate state model based on machining feature is constructed according to processing sequence, and according to each machining feature intermediate state, is added with difference
The corresponding rigidity in work face distributes different allowance for finish values as measuring for different machined surfaces, so that remaining in process
Grayscales uneven distribution is measured, and automatically generates the processing driving geometry of non-homogeneous surplus, so that it is whole rigid so that process is guaranteed
Property require, improve processing quality.
Summary of the invention
The purpose of the present invention is cannot be guaranteed one-piece parts rigid requirements for conventional uniform surplus programmed method, cause to add
The excessive problem of work part deformation invents a kind of non-homogeneous surplus configuration method based on machining feature intermediate state rigidity, leads to
The processing sequence for crossing machining feature constructs intermediate machining state model, considers machining feature intermediate state and its rigidity, is finishing
The non-homogeneous surplus of work reasonable distribution enables process to guarantee integral rigidity requirement, improves processing quality.
The technical scheme is that
A kind of non-homogeneous surplus configuration method based on machining feature intermediate state rigidity, it is characterized in that according to machining feature
Processing sequence, based on machining feature construct intermediate state model, consider part machining feature intermediate state and its rigidity ask
Topic, different from traditional uniform surplus configuration, to finish the non-homogeneous surplus of reasonable distribution, and it is several to automatically generate processing driving
What, realizes the non-homogeneous surplus configuration based on machining feature intermediate state rigidity, process is enable to guarantee that integral rigidity is wanted
It asks, improves processing quality.
Processing sequence refers to the processing sequence based on machining feature, by from the technique information extracted in processing technology tree
The machining feature identifier of each process operation corresponds to the machining feature of part geometry, is then obtained by the sequence of process operation
To the processing sequence of machining feature.
Construction method based on machining feature building intermediate state model are as follows: extracted from part end-state model first
Geological information carries out machining feature classification to part by analyzing the structure feature and processing characteristic of part, secondly from processing work
Extraction process information in skill tree, and according in process operation machining feature identifier and geometrical characteristic corresponding to, last basis
Feature machining sequence sequentially constructs the intermediate state geometry of machining feature each time, and different processing sequences is corresponding different
Intermediate machining state.
Machining feature intermediate state geometric representation cuts the processing unit of machined feature for the model after roughing:
PG indicates that current machining feature intermediate state geometry, RG indicate the geometry after roughing, FG in formulaiIt is the of part
The geometry of the corresponding finishing unit of i machining feature, k indicate current machined number of features.
The rigidity of the machining feature intermediate state, it is contemplated that optimization is allowance for finish, for complex thin-wall knot
Component, since the biggish rigidity of wall thickness is preferable, the lesser rigidity of wall thickness is poor, and the biggish rigidity of machined surface area is poor, face
The lesser rigidity of product is preferable, therefore proposes rigid measurement index ε, corresponding with the machined surface under current machining feature intermediate state
The ratio of wall thickness and area measures the rigidity of a certain machined surface.The method and step for wherein calculating wall thickness corresponding to machined surface is as follows:
Step 1: on current machining feature intermediate state model, the geometric center P of the machined surface is calculated1, cross the point edge
Normal direction makees straight line L1。
Step 2: L is write down1From P1Start the face F intersected along normal direction opposite direction first1And L1With F1The point P of intersection2。
Step 3: point P is calculated1With point P2Linear distance, the as machined surface corresponds to wall thickness value.
After obtaining the wall thickness value δ of the machined surface, calculates machined surface area A and referred to using its ratio as inflexible target
Mark
Described be the finishing non-homogeneous surplus of reasonable distribution is corresponding smart according to the face is optimized with machined surface wall thickness value
Machining allowance, steps are as follows for surplus optimized calculation method:
Step 1: according to part overall dimensions and final geometrical model, machining allowance value range, i.e. machining allowance are set
Maximum value Zmax=4.0mm and minimum value Zmin=0.5mm.
Step 2: its wall thickness is calculated separately for all faces in a machining feature, it is corresponding then to obtain each face
Inflexible target εi, and calculate the average value of all machined surface inflexible targets in a machining feature:
ε in formulaavgIt is the mean rigidity index of all machined surfaces of machining feature, n is all processing of machining feature
The number in face.
Step 3: comparing the inflexible target of each machined surface, the big corresponding reduction surplus than mean rigidity index, than average
Inflexible target it is small increase accordingly surplus:
Z in formulaiMargin value after indicating optimization, ZpiMargin value before indicating optimization, εiIndicate the corresponding rigidity in each face
Measurement index value, εmaxIndicate the maximum value of all machined surface inflexible targets of a machining feature, εminIndicate a machining feature
The minimum value of all machined surface inflexible targets.
Step 4: if the surplus after optimization is greater than presetting maximum margin value Zi> Zmax, then margin value takes maximum surplus
Value, i.e. Zi=Zmax；If the surplus after optimization is less than presetting minimum margin value Zi> Zmin, then margin value takes minimum margin value,
That is Zi=Zmin。
Described automatically generates processing driving geometry, i.e., the surplus that each machined surface is obtained according to its rigid measurement index
Value accordingly biases processing driving geometry, automatically generates new processing driving geometry.
For the rigidity of machining feature intermediate state, it is contemplated that optimization is allowance for finish, for complex thin-wall structure
Part, since the biggish rigidity of wall thickness is preferable, the lesser rigidity of wall thickness is poor, and the biggish rigidity of machined surface area is poor, area
Lesser rigidity is preferable, therefore proposes rigid measurement index, with the corresponding wall of the machined surface under current machining feature intermediate state
The thick ratio with area measures the rigidity of a certain machined surface.
It is according to the optimization face with the inflexible target of feature where machined surface for the finishing non-homogeneous surplus of reasonable distribution
Corresponding allowance for finish, each time optimization of surplus should be carried out in a machining feature, first be calculated in a machining feature
All machined surfaces correspond to the average value of inflexible target, compare the rigid measurement index of each machined surface in a machining feature, than
The big machined surface of mean rigidity index accordingly reduces surplus, and the machined surface smaller than mean rigidity index increase accordingly surplus, setting
The feasible value range of surplus, i.e. surplus maximum value and minimum value threshold value, if the surplus after optimization is greater than presetting maximum surplus
Value, then margin value takes maximum margin value；If the surplus after optimization is less than presetting minimum margin value, margin value is taken more than minimum
Magnitude.After obtaining the margin value of each machined surface, the use of the value is that processing driving geometry biases, automatically generates new processing driving
Geometry.
Beneficial effects of the present invention:
The present invention realizes the optimization for considering the allowance for finish of machining feature intermediate state rigidity, uses non-homogeneous surplus
Distribution can effectively improve part integral rigidity, guarantee the processing quality and precision of part.
Detailed description of the invention
Fig. 1 is that the present invention is based on the non-homogeneous surplus configuration method flow charts of machining feature intermediate state rigidity.
Fig. 2 is example components schematic diagram of the invention.
Fig. 3 is the processing sequence schematic diagram of example components machining feature.
Fig. 4 is example components calculated wall thickness value schematic diagram.
Fig. 5 is the machining feature schematic diagram that example components distribute non-homogeneous surplus.
Fig. 6 is that example components automatically generate processing driving geometric representation.
Specific embodiment
The present invention is further illustrated with reference to the accompanying drawings and examples.
Using the cavity feature of aircraft structure shown in Fig. 2 as example, technical solution of the present invention is carried out in conjunction with attached drawing detailed
It describes in detail bright.
Fig. 1 is the non-homogeneous surplus programmed method flow chart of the invention based on machining feature intermediate state rigidity, it leads
It to be distributed rationally two parts by the creation and the non-homogeneous surplus of finishing of machining feature intermediate state geometrical model and be formed.Specific packet
Include following steps:
1, to part body carry out machining features recognition, by analyze part structure feature and processing characteristic, to part into
The classification of row machining feature.
2, processing technology tree is selected, process operation relevant to machining feature is obtained from tree, and according in process operation
Machining feature identifier carried out with machining feature corresponding, obtain the corresponding process operation of different machining features, and according to processing
The sequence on processing technology tree is operated, obtains the processing sequence of machining feature, as shown in Figure 3.
3, according to the processing sequence of machining feature, the intermediate machining state based on machining feature is constructed.It will be current undressed
All machined surfaces of feature construct the corresponding intermediate machining state geometry of current machining feature plus allowance for finish, and so on
To the corresponding intermediate machining state geometry of each machining feature.
4, for the intermediate machining state geometry of each machining feature, the wall in each face in current machining feature is calculated
Thickness value.Calculation method is as follows:
Step 1: on current machining feature intermediate state model, the geometric center P of the machined surface is calculated1, cross the point edge
Normal direction makees straight line L1。
Step 2: L is write down1From P1Start the face F intersected along normal direction opposite direction first1And L1With F1The point P of intersection2。
Step 3: point P is calculated1With point P2Linear distance, the as machined surface corresponds to wall thickness value.As shown in figure 4, passing through
It can be calculated P1P2Linear distance, i.e., wall thickness value corresponding to the machined surface be 4mm.
For complex thin-wall structural member, since the biggish rigidity of wall thickness is preferable, the lesser rigidity of wall thickness is poor, and machined surface
The biggish rigidity of area is poor, and the lesser rigidity of area is preferable, therefore the rigidity for processing certain one side should be considered with this in conjunction with two o'clock
The ratio of the corresponding wall thickness of machined surface and area is benchmark.The area A of the machined surface is 5401.5mm2, can by calculating
Obtain rigid measurement index ε=7.41 of the machined surface.
5, one need to be calculated rigidly to distribute non-homogeneous surplus based on machining feature intermediate state for each machining feature
The average value of the rigid measurement index of all machined surfaces in a machining feature compares the rigid of each machined surface in a machining feature
Property measurement index, the machined surface bigger than mean rigidity measurement index accordingly reduce surplus, it is smaller than mean rigidity measurement index plus
Work face increase accordingly surplus.The feasible value range of surplus, i.e. surplus maximum value and minimum value threshold value are set, if the surplus after optimization
Greater than presetting maximum margin value, then margin value takes maximum margin value；If the surplus after optimization is less than more than presetting minimum
Magnitude, then margin value takes minimum margin value.Steps are as follows for surplus optimization calculating:
Step 1: according to part overall dimensions and final geometrical model, machining allowance value range, i.e. machining allowance are set
Maximum value Zmax=2.5mm and minimum value Zmin=0.3mm.
Step 2: its wall thickness is calculated separately for all faces in a machining feature, it is corresponding then to obtain each face
Rigid measurement index εi, slot as shown in Figure 5 can be calculated by previous step and each faces the wall and meditates under current machining feature intermediate state
Thickness is respectively 4mm, 3mm+1.2mm (face is undressed, need to add allowance for finish), 4mm, 3mm, the corresponding rigid weighing apparatus in each face
Figureofmerit is 7.41,8.53,7.41,9.95, and calculates the average value of all machined surface rigidity measurement indexs in the machining feature:
Step 3: comparing the rigid measurement index of each machined surface, more than the corresponding reduction bigger than mean rigidity measurement index
Amount, smaller than mean rigidity measurement index increase accordingly surplus, the current margin value Z obtained from artistic treepi=1.2mm, because
This is according to following formula:
Margin value after calculating each machined surface optimization of the cavity feature is 1.63mm, 1.11mm, 1.63mm, 0.43mm.
It 6, the use of the value is that processing driving geometry biases, automatically after the non-homogeneous margin value for obtaining each machined surface distribution
New processing driving geometry is generated, as shown in Figure 6.
Part that the present invention does not relate to is the same as those in the prior art or can be realized by using the prior art.
Claims (2)
1. a kind of non-homogeneous surplus configuration method based on machining feature intermediate state rigidity, it is characterized in that according to machining feature
Processing sequence constructs intermediate state model based on machining feature, considers the machining feature intermediate state and its stiff problem of part,
It is different from traditional uniform surplus configuration, to finish the non-homogeneous surplus of reasonable distribution, and processing driving geometry is automatically generated, it is real
The now non-homogeneous surplus configuration based on machining feature intermediate state rigidity, enables process to guarantee integral rigidity requirement, mentions
High processing quality；The processing sequence refers to the processing sequence based on machining feature, passes through what is extracted from processing technology tree
The machining feature identifier of each process operation corresponds to the machining feature of part geometry in technique information, then passes through processing behaviour
The sequence of work obtains the processing sequence of machining feature；The construction method based on machining feature building intermediate state model
Are as follows: geological information is extracted from part end-state model first, by analyzing the structure feature and processing characteristic of part, to zero
Part carries out machining feature classification, secondly the extraction process information from processing technology tree, and according to the machining feature in process operation
Corresponding to identifier and geometrical characteristic, finally according to feature machining sequence to the intermediate state geometry of machining feature each time sequentially
It is constructed, different processing sequences corresponds to different intermediate machining states；Machining feature intermediate state geometric representation is thick adds
Model after work cuts the processing unit of machined feature:
PG indicates that current machining feature intermediate state geometry, RG indicate the geometry after roughing, FG in formulaiFor i-th of part plus
The geometry of the corresponding finishing unit of work feature, k indicate current machined number of features；
The rigidity of the machining feature intermediate state, it is contemplated that optimization is allowance for finish, for complex thin-wall structural member,
Since the biggish rigidity of wall thickness is preferable, the lesser rigidity of wall thickness is poor, and the biggish rigidity of machined surface area is poor, and area is smaller
Rigidity preferably, therefore propose rigid measurement index ε, with the corresponding wall thickness of the machined surface under current machining feature intermediate state with
The ratio of area measures the rigidity of a certain machined surface；The method and step for wherein calculating wall thickness corresponding to machined surface is as follows:
Step 1: on current machining feature intermediate state model, the geometric center P of the machined surface is calculated1, the point is crossed along normal direction
Make straight line L1；
Step 2: L is write down1From P1Start the face F intersected along normal direction opposite direction first1And L1With F1The point P of intersection2；
Step 3: point P is calculated1With point P2Linear distance, the as machined surface corresponds to wall thickness value；
After obtaining the wall thickness value δ of the machined surface, machined surface area A is calculated using its ratio as inflexible target and obtains index。
2. according to the method described in claim 1, it is characterized in that it is described for finishing the non-homogeneous surplus of reasonable distribution be with
The inflexible target of feature where machined surface is that the face corresponds to allowance for finish according to optimization, and the optimization of surplus each time should be at one
It is carried out in machining feature, first calculates the average value that all machined surfaces in a machining feature correspond to inflexible target, compare one
The rigid measurement index of each machined surface in machining feature, the machined surface bigger than mean rigidity index accordingly reduce surplus, than flat
The equal small machined surface of inflexible target increase accordingly surplus, and the feasible value range of surplus, i.e. surplus maximum value and minimum value threshold is arranged
Value, if the surplus after optimization is greater than presetting maximum margin value, margin value takes maximum margin value；If the surplus after optimization is small
In presetting minimum margin value, then margin value takes minimum margin value；After obtaining the margin value of each machined surface, it is using the value
Processing driving geometry biasing automatically generates new processing driving geometry；
Steps are as follows for surplus optimized calculation method:
Step 1: according to part overall dimensions and final geometrical model, machining allowance value range is set, i.e. machining allowance is maximum
Value Zmax=4.0mm and minimum value Zmin=0.5mm；
Step 2: its wall thickness is calculated separately for all faces in a machining feature, then obtains the corresponding rigidity in each face
Index εi, and calculate the average value of all machined surface inflexible targets in a machining feature:
；
ε in formulaavgIt is the mean rigidity index of all machined surfaces of machining feature, n is all machined surfaces of machining feature
Number；
Step 3: comparing the inflexible target of each machined surface, and than mean rigidity index, big corresponding reduction surplus, compares mean rigidity
Index it is small increase accordingly surplus:
；
Z in formulaiMargin value after indicating optimization, ZpiMargin value before indicating optimization, εiIt indicates that the corresponding rigidity in each face is measured to refer to
Scale value, εmaxIndicate the maximum value of all machined surface inflexible targets of a machining feature, εminIt indicates that a machining feature is all to add
The minimum value of work face inflexible target；
Step 4: if the surplus after optimization is greater than presetting maximum margin value Zi>Zmax, then margin value takes maximum margin value, i.e.,
Zi=Zmax；If the surplus after optimization is less than presetting minimum margin value Zi>Zmin, then margin value takes minimum margin value, i.e. Zi=
Zmin。
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