CN106484970A - A kind of Optimization Design of the driving shaft of Sugarcane Fertilization banking machine - Google Patents

A kind of Optimization Design of the driving shaft of Sugarcane Fertilization banking machine Download PDF

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Publication number
CN106484970A
CN106484970A CN201610848826.2A CN201610848826A CN106484970A CN 106484970 A CN106484970 A CN 106484970A CN 201610848826 A CN201610848826 A CN 201610848826A CN 106484970 A CN106484970 A CN 106484970A
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driving shaft
model
banking machine
adams
ansys
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冯泽
贾传德
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Guangxi Institute of Occupational
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Guangxi Institute of Occupational
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/15Vehicle, aircraft or watercraft design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]

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  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Automation & Control Theory (AREA)
  • Aviation & Aerospace Engineering (AREA)
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  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
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Abstract

The invention discloses a kind of Optimization Design of the driving shaft of Sugarcane Fertilization banking machine, it comprises the following steps:One, all parts are measured;Two, in Pro/E, rigid model is set up to miscellaneous part;Three, in ANSYS, elastomeric model is set up to the bearing block of driving shaft and driving shaft;Four, gridding elastomeric model, and generate modal neutral file;Five, model analyses are carried out to elastomeric model;Modal neutral file is imported to and in ADAMS, carries out model analyses;Six, verify elastomeric model;Seven, in ADAMS, elastomeric model and rigid model are assembled;Eight, virtual prototype is verified;Nine, simulation analysis are carried out to virtual prototype;Ten, analysis of fatigue and optimization design are carried out to driving shaft.The present invention combines with Pro/E, ANSYS, ADAMS software and sets up virtual prototype, to be analyzed to driving shaft and optimization design, is easily broken off with keeping away driving shaft.

Description

A kind of Optimization Design of the driving shaft of Sugarcane Fertilization banking machine
Technical field
The present invention relates to Sugarcane Fertilization banking machine field, particularly to a kind of optimization of the driving shaft of Sugarcane Fertilization banking machine Method for designing.
Background technology
China is sugar material big producing country of the world, and output of sugar occupies third place in the world, China's cane planting region mainly Guangxi, Guangdong, Yunnan, Hainan etc. save, and cultivated area reaches 1,200,000 hectares.The Mechanization Level of the sugarcane production of most of sugarcane district is also at present Ratio is relatively low, the operation such as the farming of field management link, fertilising and ridging, still rests on labour and live stock operation or semi-mechanization operation Level, and ditch, apply fertilizer, three process of earthing up also will separately be carried out.This farming method is time-consuming, take a lot of work, operation Efficiency is low, high labor intensive.And, labour and live stock operation fertilization depth is shallow, and located fertilization is not accurate, or even the fertilizer having fails to spread It is applied in ditch, causes fertilizer to expose, increased the loss of fertilizer, have impact on the utilization rate of fertilizer.Therefore, carry out Sugarcane Fertilization Do mechanization operation seems more and more necessary and urgent.Now, Caulis Sacchari sinensis ploughing machine and Sugarcane Fertilization machinery research at home and abroad All paid attention to very much, also be have developed a lot of types, this is served very positive effect to the mechanization promoting sugarcane production. But, the equipment great majority developed at present are single-use types, and it is only capable of carrying out one procedure, and this will necessarily increase sugarcane grower Cost of investment to agricultural tool, and then have impact on the enthusiasm that sugarcane grower invests to agricultural tool.
There is multiduty type at present, such as the sugarcane-cultivation fertilising banking machine of model 3ZFS-1 type, because incorporating Caulis Sacchari sinensis ploughing machine and Sugarcane Fertilization machinery, such that it is able to once complete the cultivation and banking of Caulis Sacchari sinensis and the fertilising of broken ridge, it is significantly The labour cost and the labor intensity that improve labor efficiency, reduce sugarcane grower, its promote sugarcane mechanization development simultaneously, Also promote Caulis Sacchari sinensis machinery promoting the use of in sugarcane grower produces.Therefore, sugarcane-cultivation fertilising banking machine is persistently studied Have important practical significance and application and popularization value.But fertilising banking machine easily breaks down, actively in use Axle takes place frequently fracture, its have a strong impact on fertilising banking machine normally use and work of applying fertilizer carrying out, therefore, for fertilising banking machine Driving shaft is easily broken off problems demand and solves, and fertilizing mechanism urgently optimizes.
The information being disclosed in this background section is merely intended to increase the understanding of the general background to the present invention, and should not Recognize when being considered or imply in any form that this information structure has been the prior art well known to persons skilled in the art.
Content of the invention
It is an object of the invention to provide a kind of Optimization Design of the driving shaft of Sugarcane Fertilization banking machine, thus overcoming The shortcoming that the driving shaft of existing fertilising banking machine is easily broken off.
For achieving the above object, the invention provides a kind of 1. optimization design sides of the driving shaft of Sugarcane Fertilization banking machine Method, wherein, comprises the following steps:
Step one, is measured to the parameter of all parts needing the fertilising banking machine being emulated;
Step 2, to other portions in addition to the bearing block of driving shaft and driving shaft in fertilising banking machine in Pro/E Part sets up rigid model, and rigid model is imported in ADAMS;
Step 3, in ANSYS, the bearing block of the driving shaft to fertilising banking machine and driving shaft sets up elastomeric model;
Step 4, the elastomeric model that gridding obtains in step 3 in ANSYS, and generate modal neutral file;
Step 5, carries out model analyses to elastomeric model in ANSYS, to obtain first mode analysis result;To walk The modal neutral file generating in rapid four imports in ADAMS, then carries out model analyses to model in ADAMS, to obtain Second mode analysis result;
Step 6, is verified by contrasting the first mode analysis result obtaining in step 5 and second mode analysis result Elastomeric model, if check results are unqualified, return to step three;If check results are qualified, carry out next step;
Step 7, is assembled, in ADAMS, the rigid model obtaining in elastomeric model and step 2, and is applied about Bundle and driving, to obtain the virtual prototype of complete fertilising banking machine;
Step 8, verifies to the virtual prototype assembling complete in step 7, if checking is unqualified, returns Return step one, if checking is qualified, carry out next step;
Step 9, carries out Dynamics Simulation Analysis to assembling complete virtual prototype in step 7 in ADAMS, To obtain stress, kinematic parameter and the dynamic load of driving shaft;
Step 10, carries out analysis of fatigue to driving shaft, then by analysis result, driving shaft is carried out with the optimization of structure Design.
Preferably, in technique scheme, the method in described step 8, worry plan PM prototype model verified is:To applying Fertile banking machine carries out physical test to obtain experimental data, and virtual prototype is carried out identical l-G simulation test to obtain imitative True result, is analyzed the accuracy to verify virtual prototype by experimental data and simulation result.
Preferably, in technique scheme, the method carrying out analysis of fatigue to driving shaft in described step 10 is:Using ANSYS carries out finite element analyses to driving shaft, to obtain deformation and the stress distribution of driving shaft, and carries out analysis of fatigue and fatigue The estimation in life-span, is finally optimized design using APDL Parametric Design Language to driving shaft in ANSYS, thus being led The optimization structure parameter of moving axis.
Compared with prior art, the present invention has the advantages that:
The present invention combines the virtual prototype establishing fertilising banking machine with Pro/E, ANSYS, ADAMS software, and The accuracy of elastomeric model and virtual prototype is verified, to improve the accuracy of virtual prototype, finally By Dynamics Simulation Analysis and analysis of fatigue are carried out to fertilizing mechanism model, so that optimization design is realized to driving shaft, thus keeping away Exempt from fertilising banking machine and the phenomenon that driving shaft occurs fracture easily occurs.
Brief description
Fig. 1 is the flow chart of the Optimization Design of the driving shaft according to Sugarcane Fertilization banking machine of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings, the specific embodiment of the present invention is described in detail, it is to be understood that the guarantor of the present invention Shield scope is not limited by specific embodiment.
Explicitly indicate that unless otherwise other, otherwise in entire disclosure and claims, term " inclusion " or its change Change such as "comprising" or " including " etc. and will be understood to comprise stated element or ingredient, and do not exclude other units Part or other ingredient.
Fig. 1 shows a kind of optimization design of the driving shaft of Sugarcane Fertilization banking machine according to the preferred embodiment of the present invention The flow chart of method, the Optimization Design of the driving shaft of this Sugarcane Fertilization banking machine includes:
Step one, is measured to the parameter of all parts needing the fertilising banking machine being emulated, thus being to applying Fertile banking machine carries out simulation modeling by software provides parameter to support.
Step 2, the present invention be research driving shaft breakage problem, and in the banking machine that applies fertilizer with driving shaft no direct correlation Parts no deformation effect substantially, therefore, only need the bearing block driving shaft and driving shaft to build up flexible body in modeling, and Other parts are built up rigid body process.The relevant parameter being obtained according to step one, in Pro/E to fertilising banking machine in except Miscellaneous part outside the bearing block of driving shaft and driving shaft sets up rigid model, and rigid model is imported in ADAMS.
Step 3, the data message according to driving shaft and bearing block and mechanical property, to fertilising banking machine in ANSYS The bearing block of driving shaft and driving shaft sets up elastomeric model.
Step 4, the elastomeric model that gridding obtains in step 3 in ANSYS, and generate modal neutral file.
Step 5, carries out model analyses to elastomeric model in ANSYS, to obtain first mode analysis result, and will The modal neutral file generating in step 4 imports in ADAMS, then carries out model analyses to model in ADAMS, with To second mode analysis result.
Step 6, is verified by contrasting the first mode analysis result obtaining in step 5 and second mode analysis result Elastomeric model, if check results difference larger then it represents that unqualified, need return to step three, again to driving shaft and master The bearing block of moving axis carries out flexible object modeling;If check results essentially identical then it represents that qualified, proceed next step.
Step 7, is assembled, in ADAMS, the rigid model obtaining in elastomeric model and step 2, and is applied about Bundle and driving, to obtain the virtual prototype of complete fertilising banking machine.
Step 8, verifies to the virtual prototype assembling complete in step 7, if checking is unqualified, returns Return step one, restart whole process, if checking is qualified, carry out next step.Preferably, consider plan PM prototype model to be tested Card method be:Fertilising banking machine is carried out physical test to obtain experimental data, and identical is carried out to virtual prototype L-G simulation test, to obtain simulation result, is analyzed to verify virtual prototype by experimental data and simulation result Accuracy.Time domain, the frequency-domain analysiss of electromotor different rotating speeds, the emulation data of different measuring points and physical test data can be passed through Comparative result, also can make necessary modification so that model has higher precision with reference to comparing result to virtual prototype.
Step 9, carries out Dynamics Simulation Analysis to assembling complete virtual prototype in step 7 in ADAMS, To obtain stress, kinematic parameter and the dynamic load of driving shaft;
Step 10, carries out analysis of fatigue to driving shaft, then by analysis result, driving shaft is carried out with the optimization of structure Design.Preferably, the method carrying out analysis of fatigue to driving shaft is:Using ANSYS, finite element analyses are carried out to driving shaft, to obtain Obtain deformation and the stress distribution of driving shaft, and carry out analysis of fatigue and the estimation of fatigue life, in ANSYS, finally adopt APDL Parametric Design Language is optimized design to driving shaft, thus obtaining the optimization structure parameter of driving shaft.
The present invention combines the virtual prototype establishing fertilising banking machine with Pro/E, ANSYS, ADAMS software, and The accuracy of elastomeric model and virtual prototype is verified, to improve the accuracy of virtual prototype, finally By Dynamics Simulation Analysis and analysis of fatigue are carried out to fertilizing mechanism model, so that optimization design is realized to driving shaft, thus keeping away Exempt from fertilising banking machine and the phenomenon that driving shaft occurs fracture easily occurs.
The description of the aforementioned specific illustrative embodiment to the present invention illustrate that and illustration purpose.These descriptions It is not wishing to limit the invention to disclosed precise forms, and it will be apparent that according to above-mentioned teaching, can much be changed And change.The purpose of selecting and describing the exemplary embodiment is that explaining that the certain principles of the present invention and its reality should With so that those skilled in the art be capable of and utilize the present invention various different exemplary and Various different selections and change.The scope of the present invention is intended to be limited by claims and its equivalents.

Claims (3)

1. a kind of Optimization Design of the driving shaft of Sugarcane Fertilization banking machine is it is characterised in that comprise the following steps:
Step one, is measured to the parameter of all parts needing the fertilising banking machine being emulated;
Step 2, builds to the miscellaneous part in addition to the bearing block of driving shaft and driving shaft in fertilising banking machine in Pro/E Vertical rigid model, and rigid model is imported in ADAMS;
Step 3, in ANSYS, the bearing block of the driving shaft to fertilising banking machine and driving shaft sets up elastomeric model;
Step 4, the elastomeric model that gridding obtains in step 3 in ANSYS, and generate modal neutral file;
Step 5, carries out model analyses to elastomeric model in ANSYS, to obtain first mode analysis result;By step 4 The modal neutral file of middle generation imports in ADAMS, then carries out model analyses to model in ADAMS, to obtain second Modal analysis result;
Step 6, verifies flexibility by contrasting the first mode analysis result obtaining in step 5 and second mode analysis result Body Model, if check results are unqualified, return to step three;If check results are qualified, carry out next step;
Step 7, is assembled, in ADAMS, the rigid model obtaining in elastomeric model and step 2, and apply constraint and Drive, to obtain the virtual prototype of complete fertilising ridging;
Step 8, verifies to the virtual prototype assembling complete in step 7, if checking is unqualified, returns step Rapid one, if checking is qualified, carry out next step;
Step 9, carries out Dynamics Simulation Analysis to assembling complete virtual prototype in step 7, to obtain in ADAMS Obtain stress, kinematic parameter and the dynamic load of driving shaft;
Step 10, carries out analysis of fatigue to driving shaft, then by analysis result, driving shaft is carried out with the optimization design of structure.
2. the Optimization Design of the driving shaft of Sugarcane Fertilization banking machine according to claim 1 is it is characterised in that described Intend the method verified of PM prototype model and be to considering in step 8:Fertilising banking machine is carried out physical test to obtain experiment number According to, and virtual prototype is carried out identical l-G simulation test to obtain simulation result, entered by experimental data and simulation result Row relative analyses are verifying the accuracy of virtual prototype.
3. the Optimization Design of the driving shaft of Sugarcane Fertilization banking machine according to claim 1 is it is characterised in that in institute Stating the method carrying out analysis of fatigue to driving shaft in step 10 is:Using ANSYS, finite element analyses are carried out to driving shaft, to obtain The deformation of driving shaft and stress distribution, and carry out analysis of fatigue and the estimation of fatigue life, finally adopt APDL to join in ANSYS Numberization design language is optimized design to driving shaft, thus obtaining the optimization structure parameter of driving shaft.
CN201610848826.2A 2016-09-23 2016-09-23 A kind of Optimization Design of the driving shaft of Sugarcane Fertilization banking machine Pending CN106484970A (en)

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104965963A (en) * 2015-07-31 2015-10-07 桂林电子科技大学 Parametric modeling method of rigid-flexible coupled model

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104965963A (en) * 2015-07-31 2015-10-07 桂林电子科技大学 Parametric modeling method of rigid-flexible coupled model

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杜微等: "基于APDL参数化建模的万向联轴器法兰叉架的优化设计", 《矿山机械》 *
范雨杭等: "基于ADAMS&ANSYS的施肥机构仿真分析", 《农机化研究》 *

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Application publication date: 20170308