CN104346501A - Integrated optimization method and system for static model of fully-extending boom of crane - Google Patents

Integrated optimization method and system for static model of fully-extending boom of crane Download PDF

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CN104346501A
CN104346501A CN201410687945.5A CN201410687945A CN104346501A CN 104346501 A CN104346501 A CN 104346501A CN 201410687945 A CN201410687945 A CN 201410687945A CN 104346501 A CN104346501 A CN 104346501A
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girder
full semi
static model
arm
ansys
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李润
纪爱敏
朱明娟
宋伟伟
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Changzhou Campus of Hohai University
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Changzhou Campus of Hohai University
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Abstract

The invention relates to an integrated optimization method and an integrated optimization system for a static model of a fully-extending boom of a crane. The integrated optimization method comprises the following steps of 100, performing optimization integrated by virtue of ANSYS software and ISIGHT software, and parsing an input parameter in an input file required by the establishment of a fully-extending boom model; 200, establishing the static model of the fully-extending boom by virtue of the ANSYS software; 300, performing joint simulation analysis to obtain an optimal solution to the static model of the fully-extending boom by virtue of the ISIGHT software and the ANSYS software. According to the method and the system, a global optimal solution capable of ensuring stronger structural strength of the fully-extending boom can be finally obtained, the overall size of the fully-extending boom is reduced, and good effects in practical engineering are achieved.

Description

The integrated optimization method of the full semi-girder static model of a kind of crane and system
Technical field
The present invention relates to and belong to Machine Design and automatic field, particularly relate to a kind of optimization method and the system that utilize the full semi-girder of ISIGHT multidisciplinary optimization platform intergration ANSYS finite element analysis software.
Background technology
Along with the develop rapidly of industrial technology, and the needs that social infrastructure is built, the use of Car Crane Retractable Arms is more and more general, and under telescopic arm stretches state entirely, in the design proposal of its routine, the parameters such as telescopic arm thickness that is wide, high and respectively joint arm are all chosen in a span by experience, therefore bring the problems such as cost consumption is excessive, waste of material, the length that expends time in, strength character are unreliable.Should design for target with high-mechanic, light dead-weight under the prerequisite meeting intensity and toughness constraint condition for telescoping boom optimization.And utilize ANSYS software self with prioritization scheme owing to being subject to the limitation of software itself, therefore can not obtain optimum design proposal.
Summary of the invention
The object of this invention is to provide the integrated optimization method of the full semi-girder static model of a kind of crane, ANSYS finite element analysis software parametric modeling and ISIGHT multidisciplinary optimization platform is utilized to carry out integrated optimization, the method uses ANSYS to carry out intensity and toughness analysis to full semi-girder, and the APDL language of ANSYS is called by ISIGHT Optimization Platform, realize automatic cycle emulation and optimize, and finally obtain global optimization solution, improve optimization efficiency and the precision of full semi-girder arm.
In order to solve the problems of the technologies described above, the invention provides the integrated optimization method of the full semi-girder static model of a kind of crane, comprise: step S100, be optimized by ANSYS and ISIGHT integrated, the input parameter set up in the input file of full semi-girder model need is resolved; Step S200, utilizes ANSYS software to set up full semi-girder static model; And step S300, ISIGHT and ANSYS is carried out associative simulation analysis, to obtain the optimum solution of described full semi-girder static model.
Further, described in described step S200, full semi-girder static model are based on cubic NURBS curve.
Further, the method setting up the described full semi-girder static model based on cubic NURBS curve in ANSYS software comprises: by the design variable of full semi-girder model, objective function and constraint condition, set up described full semi-girder static model.
Further, described full semi-girder model is corresponding design variable, objective function and constraint condition are as follows:
Design variable X is the design variable set of full semi-girder, namely
X=[H,W,M,R 1~R 6] T
In formula, H is the height of basic arm in full semi-girder, and W is the width of basic arm, and M is the weight of the lower section cubic NURBS curve of arm, and the upper half panel that R1 ~ R6 is respectively basic arm is thick;
Objective function is volume target function, namely
min f=V,
In formula, min f is the volume target function of arm; And
Constraint condition
0.8≤M≤1.0,0.57≤H≤0.612,0.37≤W≤0.404
0≤DOF≤0.5,DD 1,DD 2,...DD 9≤4.84×10 8
In formula, DOF is the deflection value constraint of arm; DD 1~ DD 9for the stress constraint of 9 nodes at the dangerouse cross-section place of arm.
Further, full semi-girder is five telescoping booms stretched; Corresponding to this telescoping boom, objective function and constraint condition as follows:
Design variable
X=[H,W,M,R 1~R 6] T
In formula, the design variable set of telescoping boom is in X; H is the height of basic arm in telescoping boom; W is the width of basic arm; M is the weight of the lower section cubic NURBS curve of telescoping boom; The upper half panel that R1 ~ R6 is respectively basic arm is thick;
Objective function is volume target function, namely
min f=V,
In formula, min f is the volume target function of telescoping boom; And
Described constraint condition
0.8≤M≤1.0,0.57≤H≤0.612,0.37≤W≤0.404
0≤DOF≤0.5,DD 1,DD 2,...DD 9≤4.84×10 8
R 1,R 2,R 3∈[0.0050,0.0060,0.0070]
R 4,R 5∈[0.0040,0.0050,0.0060]
R 6∈[0.0030,0.0040,0.0050],
In formula, DOF is the deflection value constraint of telescoping boom; DD 1~ DD 9for the stress constraint of 9 nodes at the dangerouse cross-section place of selected telescoping boom.
Further, the method obtaining the optimum solution of described full semi-girder static model in described step S300 comprises: step S310, output file after associating simulation analysis is resolved, obtains the desired value of the volume target function required for the optimization of full semi-girder, the binding occurrence of constraint condition; And step S320, utilize ISIGHT to be optimized, until export the optimal value meeting constraint condition, namely export described optimum solution.
Another aspect, the present invention also improves the integrated optimization system of the full semi-girder static model of a kind of crane, to solve same technical matters.
In order to solve the problems of the technologies described above, the invention provides the integrated optimization system of the full semi-girder static model of a kind of crane, comprising:
Design variable acquiring unit, is optimized integrated by ANSYS and ISIGHT, carry out document analysis, to obtain design variable to the input parameter in the input file set up needed for full semi-girder static model; Modeling unit, sets up full semi-girder static model by ANSYS software; And output unit, ISIGHT and ANSYS is carried out associative simulation analysis, to obtain the optimum solution of described full semi-girder static model.
Further, described output unit is suitable for the output file after to associating simulation analysis and resolves, and obtains the desired value of the volume target function required for the optimization of full semi-girder, the binding occurrence of constraint condition; And utilize ISIGHT to be optimized, until export the optimal value meeting constraint condition, namely export described optimum solution.
The invention has the beneficial effects as follows, the invention discloses the integrated optimization method of the full semi-girder static model of a kind of crane, utilize ANSYS finite element analysis software parametric modeling and ISIGHT multidisciplinary optimization platform to carry out integrated optimization.Undertaken integrated by ISIGHT Optimization Platform and ANSYS finite element analysis, by each modules nests and be combined into different optimisation strategy, can conveniently solve corresponding optimization problem.By carrying out intelligentized design sampling to design problem, find best design initial value, and then automatic simulation optimization is carried out to design problem.ISIGHT software can be monitored in real time in each cycle analysis process, constantly demonstrates the parameters input of design problem and the performance index of output.Optimized by the present invention, finally can obtain the global optimization solution making full contilever structure intensity higher, reduce the overall volume of full reduced arm simultaneously, in Practical Project, obtain good effect.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the present invention is further described.
Fig. 1 shows telescoping boom modeling schematic diagram.
Fig. 2 shows the flow chart of steps of the integrated optimization method of the full semi-girder static model of crane.
Fig. 3 shows arm basic arm cross section nurbs curve figure;
Fig. 4 shows integrated flow figure of the present invention;
Fig. 5 shows integrated optimization feasibility proof diagram.
Embodiment
In conjunction with the accompanying drawings, the present invention is further detailed explanation.These accompanying drawings are the schematic diagram of simplification, only basic structure of the present invention are described in a schematic way, and therefore it only shows the formation relevant with the present invention.
Embodiment 1
Fig. 1 shows telescoping boom modeling schematic diagram.
Fig. 2 shows the flow chart of steps of the integrated optimization method of the full semi-girder static model of crane.
Fig. 3 shows arm basic arm cross section nurbs curve figure.
As depicted in figs. 1 and 2, the integrated optimization method of the full semi-girder static model of a kind of crane of the present invention, comprising:
Step S100, is optimized integrated by ANSYS and ISIGHT, resolve the input parameter set up in the input file of full semi-girder model need; Step S200, utilizes ANSYS software to set up full semi-girder static model; And step S300, ISIGHT and ANSYS is carried out associative simulation analysis, to obtain the optimum solution of described full semi-girder static model.
Being optimized integrated embodiment by ANSYS and ISIGHT is: described ANSYS is optimized integrated by APDL language and ISIGHT.
Optionally, described in described step S200, full semi-girder static model are based on cubic NURBS curve.
The method obtaining the optimum solution of described full semi-girder static model in described step S300 comprises:
Step S310, resolves the output file after associating simulation analysis, obtains the desired value of the volume target function required for the optimization of full semi-girder, the binding occurrence of constraint condition; And step S320, utilize ISIGHT to be optimized, until export the optimal value meeting constraint condition, namely export described optimum solution.
The method setting up the described full semi-girder static model based on cubic NURBS curve in ANSYS software comprises: by the design variable of full semi-girder model, objective function and constraint condition, set up described full semi-girder static model.
Design variable, objective function and constraint condition that described full semi-girder model is corresponding are as follows:
Design variable X is the design variable set of full semi-girder, namely
X=[H,W,M,R 1~R 6] T
In formula, H is the height of basic arm in full semi-girder, and W is the width of basic arm, and M is the weight of the lower section cubic NURBS curve of arm (entirety of full semi-girder is called arm), and the upper half panel that R1 ~ R6 is respectively basic arm is thick;
Objective function is volume target function, namely
min f=V,
In formula, min f is the volume target function of arm; And
Constraint condition
0.8≤M≤1.0,0.57≤H≤0.612,0.37≤W≤0.404
0≤DOF≤0.5,DD 1,DD 2,...DD 9≤4.84×10 8
In formula, DOF is the deflection value constraint of arm; DD 1~ DD 9for the stress constraint of 9 nodes at the dangerouse cross-section place of arm.
If full semi-girder is five telescoping booms stretched (having basic arm, a joint arm, two joint arms, three joint arms, four joint arms and five joint arms), then corresponding to this telescoping boom, objective function and constraint condition as follows:
Design variable
X=[H,W,M,R 1~R 6] T
In formula, the design variable set of telescoping boom is in X; H is the height of basic arm in telescoping boom; W is the width of basic arm; M is the weight of the lower section cubic NURBS curve of telescoping boom; The upper half panel that R1 ~ R6 is respectively basic arm is thick;
Objective function is volume target function, namely
min f=V,
In formula, min f is the volume target function of telescoping boom; And
Described constraint condition
0.8≤M≤1.0,0.57≤H≤0.612,0.37≤W≤0.404
0≤DOF≤0.5,DD 1,DD 2,...DD 9≤4.84×10 8
R 1,R 2,R 3∈[0.0050,0.0060,0.0070]
R 4,R 5∈[0.0040,0.0050,0.0060]
R 6∈[0.0030,0.0040,0.0050],
In formula, DOF is the deflection value constraint of telescoping boom; DD 1~ DD 9for the stress constraint of 9 nodes at the dangerouse cross-section place of selected telescoping boom, as shown in Figure 3, wherein, A (S1), B (S2), C (S3), E (S4), F (S5), G (S6), I (S7), D (S8), H (S9) are described 9 nodes.
The concrete implementation step of the present embodiment 1 is as follows:
The present invention is for SQS500A type telescoping boom, and the initial value relating generally to design variable is as shown in table 1;
Table 1 design parameter initial value
In the telescoping boom course of work, mainly need the acting force of consideration three parts: lift heavy F1 straight down, the maximum lift heavy designing model in the present embodiment is 10 tons, therefore gets F3=49000N; Tensile force f 4=F3/6 ≈ 16333N along from arm to the rope in arm tail direction; Arm own wt G=ρ vg, ρ gets 7800kg/m3, and in ANSYS, the input direction of gravity acceleration g is contrary with A/W direction.As shown in Figure 1, the full semi-girder arm stretched for five in the present embodiment, it has basic arm 1, and saves arm 2, two joint arm 3, three joint arm 4, four joint arm 5 and five joint arms 6 the modeling situation of arm.
The optimized mathematical model of telescoping boom can be set up according to above-mentioned parameter.
X=[H,W,M,R 1~R 6] T
min f=V
0.8≤M≤1.0,0.57≤H≤0.612,0.37≤W≤0.404
0≤DOF≤0.5,DD 1,DD 2,...DD 9≤4.84×10 8
R 1,R 2,R 3∈[0.0050,0.0060,0.0070]
R 1,R 5∈[0.0040,0.0050,0.0060]
R 6∈[0.0030,0.0040,0.0050]
Wherein, in design variable set X, H is the height of basic arm; W is the width of basic arm; M is the weight of the lower section cubic NURBS curve of telescoping boom; Min f is the volume target function of telescoping boom; The upper half panel that R1 ~ R6 is respectively basic arm is thick; DOF is the deflection value constraint of telescoping boom; DD1 ~ DD9 is the stress constraint of 9 main node at the dangerouse cross-section place of selected telescoping boom.
Correction formula about constraint condition value 484MPa in this enforcement is as follows:
The design criteria of intensity is the maximum intensity Von Mises stress σ produced in structure maxbe not more than the intensity permissible stress [σ] of structured material.This problem arm adopts high strength steel Q690 to effectively reduce boom weight.Due to the tensile strength sigma of Q690 bbe 770 ~ 940MPa, get intermediate value σ b=855MPa; Yield strength σ s=690MPa, then have σ s/ σ b=0.807 > 0.7.The intensity permissible stress value of arm is calculated as follows:
(work as σ s/ σ bduring < 0.7)
[ &sigma; ] = 0.5 &sigma; s + 0.35 &sigma; b 1.33 = 0.5 * 690 + 0.35 * 855 1.33 = 484 MPa (work as σ s/ σ bduring > 0.7)
Fig. 4 is the operational flowchart of this integrated optimization method.
(1) be optimized integrated by the APDL language of ANSYS and ISIGHT, the input parameter set up in input file that full semi-girder model needs is resolved, to obtain design variable.
(2) in ANSYS software, set up the described full semi-girder model based on cubic NURBS curve, and obtain the input file (INPUT) of this model according to this design variable.
(3) utilize the batch processing mode of ANSYS.BAT script to drive ISIGHT and ANSYS to carry out associative simulation analysis and draw output file (OUTPUT).
(4) output file is resolved, obtain full semi-girder optimize required for desired value, binding occurrence and optimization initial value.
(5) utilize ISIGHT to be optimized, until export the optimal value meeting restricted problem, export optimum solution.
Fig. 5 shows integrated optimization feasibility proof diagram.
As can be seen from Figure 5 in the Optimized Iterative curve map 5 of arm, volume (VOL) objective function of arm is through 49 suboptimization iteration, arm volume (VOL) becomes 0.2953m3 from 0.3204m3, and its degree of optimization reaches about 7.9%.
Application result compares
Table 2 is the contrast between the optimum results of technical solution of the present invention and the result adopting prior art to optimize.
Compare before and after the optimization of table 2 arm
Variate-value Before optimization After optimization
Basic arm height H (m) 0.612 0.57
Basic arm width W (m) 0.404 0.37
Weights omega 1.0 0.911
Upper thickness of slab R 1,R 2,R 3(m) 0.006 0.006
Upper thickness of slab R 4,R 5(m) 0.005 0.005
Upper thickness of slab R 6(m) 0.004 0.004
Volume V 1(m 3) 0.3207 0.2953
As seen from the above table, the present invention's Optimization Design used arm volume degree of optimization under guarantee meets the prerequisite of constraint condition reaches about 7.9%, ensure that the load-bearing capacity of telescoping boom, decrease the cost that arm makes, improve the overall work performance of arm.
The present invention uses ANSYS to carry out intensity and toughness analysis to full semi-girder, and calls the APDL language of ANSYS by ISIGHT Optimization Platform, realizes automatic cycle emulation and optimizes, and finally obtaining global optimization solution, improving optimization efficiency and the precision of full semi-girder.
Embodiment 2
The integrated optimization system of the full semi-girder static model of a kind of crane on embodiment 1 basis, comprising:
Design variable acquiring unit, is optimized integrated by ANSYS and ISIGHT, carry out document analysis, to obtain design variable to the input parameter in the input file set up needed for full semi-girder static model.
Modeling unit, sets up full semi-girder static model by ANSYS software.
Output unit, carries out associative simulation analysis by ISIGHT and ANSYS, to obtain the optimum solution of described full semi-girder static model.
These full semi-girder static model input file used is obtained according to described design variable.
Described output unit is suitable for the output file after to associating simulation analysis and resolves, and obtains the desired value of the volume target function required for the optimization of full semi-girder, the binding occurrence of constraint condition; And utilize ISIGHT to be optimized, until export the optimal value meeting constraint condition, namely export described optimum solution.
Each functional unit involved by the present embodiment, is identical with the implementation step of step S100 to step S300, repeats no more here.
With above-mentioned according to desirable embodiment of the present invention for enlightenment, by above-mentioned description, relevant staff in the scope not departing from this invention technological thought, can carry out various change and amendment completely.The technical scope of this invention is not limited to the content on instructions, must determine its technical scope according to right.

Claims (8)

1. an integrated optimization method for the full semi-girder static model of crane, comprising:
Step S100, is optimized integrated by ANSYS and ISIGHT, resolve the input parameter set up in the input file of full semi-girder model need;
Step S200, utilizes ANSYS software to set up full semi-girder static model; And
Step S300, carries out associative simulation analysis by ISIGHT and ANSYS, to obtain the optimum solution of described full semi-girder static model.
2. according to described integrated optimization method according to claim 1, it is characterized in that, described in described step S200, full semi-girder static model are based on cubic NURBS curve.
3. according to described integrated optimization method according to claim 2, it is characterized in that, the method setting up the described full semi-girder static model based on cubic NURBS curve in ANSYS software comprises:
By the design variable of full semi-girder model, objective function and constraint condition, set up described full semi-girder static model.
4. according to described integrated optimization method according to claim 3, it is characterized in that, design variable, objective function and constraint condition that described full semi-girder model is corresponding are as follows:
Design variable X is the design variable set of full semi-girder, namely
X=[H,W,M,R 1~R 6] T
In formula, H is the height of basic arm in full semi-girder, and W is the width of basic arm, and M is the weight of the lower section cubic NURBS curve of arm, and the upper half panel that R1 ~ R6 is respectively basic arm is thick;
Objective function is volume target function, namely
min f=V,
In formula, min f is the volume target function of arm; And
Constraint condition
0.8≤M≤1.0,0.57≤H≤0.612,0.37≤W≤0.404
0≤DOF≤0.5,DD 1,DD 2,...DD 9≤4.84×10 8
In formula, DOF is the deflection value constraint of arm; DD 1~ DD 9for the stress constraint of 9 nodes at the dangerouse cross-section place of arm.
5. according to described integrated optimization method according to claim 3, it is characterized in that, full semi-girder is five telescoping booms stretched; Corresponding to this telescoping boom, objective function and constraint condition as follows:
Design variable
X=[H,W,M,R 1~R
In formula, the design variable set of telescoping boom is in X; H is the height of basic arm in telescoping boom; W is the width of basic arm; M is the weight of the lower section cubic NURBS curve of telescoping boom; The upper half panel that R1 ~ R6 is respectively basic arm is thick;
Objective function is volume target function, namely
min f=V,
In formula, min f is the volume target function of telescoping boom; And
Described constraint condition
0.8≤M≤1.0,0.57≤H≤0.612,0.37≤W≤0.404
0≤DOF≤0.5,DD 1,DD 2,...DD 9≤4.84×10 8
R 1,R 2,R 3∈[0.0050,0.0060,0.0070]
R 4,R 5∈[0.0040,0.0050,0.0060]
R 6∈[0.0030,0.0040,0.0050],
In formula, DOF is the deflection value constraint of telescoping boom; DD 1~ DD 9for the stress constraint of 9 nodes at the dangerouse cross-section place of selected telescoping boom.
6. the integrated optimization method according to described claim 4 or 5, is characterized in that, the method obtaining the optimum solution of described full semi-girder static model in described step S300 comprises:
Step S310, resolves the output file after associating simulation analysis, obtains the desired value of the volume target function required for the optimization of full semi-girder, the binding occurrence of constraint condition; And
Step S320, utilizes ISIGHT to be optimized, until export the optimal value meeting constraint condition, namely exports described optimum solution.
7. an integrated optimization system for the full semi-girder static model of crane, is characterized in that, comprising:
Design variable acquiring unit, is optimized integrated by ANSYS and ISIGHT, carry out document analysis, to obtain design variable to the input parameter in the input file set up needed for full semi-girder static model;
Modeling unit, sets up full semi-girder static model by ANSYS software; And
Output unit, carries out associative simulation analysis by ISIGHT and ANSYS, to obtain the optimum solution of described full semi-girder static model.
8. the integrated optimization system of the full semi-girder static model of crane according to claim 7, is characterized in that,
Described output unit is suitable for the output file after to associating simulation analysis and resolves, and obtains the desired value of the volume target function required for the optimization of full semi-girder, the binding occurrence of constraint condition; And utilize ISIGHT to be optimized, until export the optimal value meeting constraint condition, namely export described optimum solution.
CN201410687945.5A 2014-11-25 2014-11-25 Integrated optimization method and system for static model of fully-extending boom of crane Pending CN104346501A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105045979A (en) * 2015-07-06 2015-11-11 河海大学常州校区 Integrated optimization method for statics model of excavator operating apparatus
CN105069230A (en) * 2015-08-10 2015-11-18 河海大学常州校区 Cooperative optimization method for movable arm of hydraulic excavator
CN106326573A (en) * 2016-08-26 2017-01-11 武汉船用机械有限责任公司 Design method of suspension arm of crane

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5815394A (en) * 1996-04-04 1998-09-29 The Ohio State University Research Foundation Method and apparatus for efficient design automation and optimization, and structure produced thereby
WO2007076357A2 (en) * 2005-12-19 2007-07-05 The Board Of Governors For Higher Education, State Of Rhode Island And Providence Plantations System and method for finite element based topology optimization
CN104008253A (en) * 2014-06-12 2014-08-27 河海大学常州校区 Integrated optimization method of telescopic lifting arm dynamic model
CN104008254A (en) * 2014-06-12 2014-08-27 河海大学常州校区 Integrated optimization method of telescopic lifting arm static model

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5815394A (en) * 1996-04-04 1998-09-29 The Ohio State University Research Foundation Method and apparatus for efficient design automation and optimization, and structure produced thereby
WO2007076357A2 (en) * 2005-12-19 2007-07-05 The Board Of Governors For Higher Education, State Of Rhode Island And Providence Plantations System and method for finite element based topology optimization
CN104008253A (en) * 2014-06-12 2014-08-27 河海大学常州校区 Integrated optimization method of telescopic lifting arm dynamic model
CN104008254A (en) * 2014-06-12 2014-08-27 河海大学常州校区 Integrated optimization method of telescopic lifting arm static model

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105045979A (en) * 2015-07-06 2015-11-11 河海大学常州校区 Integrated optimization method for statics model of excavator operating apparatus
CN105069230A (en) * 2015-08-10 2015-11-18 河海大学常州校区 Cooperative optimization method for movable arm of hydraulic excavator
CN105069230B (en) * 2015-08-10 2017-11-17 河海大学常州校区 A kind of Hydraulic Excavator's Boom cooperative optimization method
CN106326573A (en) * 2016-08-26 2017-01-11 武汉船用机械有限责任公司 Design method of suspension arm of crane
CN106326573B (en) * 2016-08-26 2019-12-17 武汉船用机械有限责任公司 Design method of crane boom

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Application publication date: 20150211