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Optimal Design Of Quantitative Wormwood Stick Winding Machine

Posted on:2022-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhangFull Text:PDF
GTID:2492306722463374Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
As traditional Chinese medicine moxibustion therapy is accepted by people gradually,wormwood stick is widely used in the field of moxibustion.The traditional manual or semi-automatic processing wormwood stick methods cannot completely meet the wormwood stick production and quantitative requirements.In order to solve the problems such as inaccurate quantity of wormwood stick,this paper uses an improved multi-objective genetic algorithm to optimal design of the fixed quality wormwood stick winding machine,and obtain its key structural parameters.Based on the rolling principle,the schemes of the preforming mechanism,the feeding mechanism,and the paper feeding mechanism are analyzed.In order to solve the problem of inaccurate quantitative measurement of wormwood stick,the existing wormwood stick winding machine is studied to understand the winding principle,the movement and force of the preforming roller mechanism,and the parameters affecting the accuracy of quantitative measurement of wormwood stick are obtained as the spacing between the rollers e and the density of moxa pile.The analysis and comparison of metering devices,the intermittent weighing measuring device as a feeding mechanism can meet the matching quantitative requirements.Through the analysis of the process,scheme and influencing factors of the paper feeding mechanism,it is found that when the motor mode is matched with the speed of the paper feeding roller,it is beneficial to reduce the influence of the weight change of wormwood stick caused by the paper relaxation.Combined with rolling technical parameters,the preforming mechanism,feeding mechanism,and paper feeding mechanism are designed.In the design of the preforming mechanism,the mathematical model of the preforming roller mechanism is established according to the technical parameters of the coil.The parameters that affect the quantitative accuracy after the increase of the mold cavity are the radius of the roller,the distance between the rollers and the density of the moxa.In the design of the feeding mechanism,combined with the actual production of wormwood stick,the conveying capacity of the feeding mechanism W,limit speed N,screw diameter D and the feeding bin are designed.When designing the paper loading mechanism,combining with the requirement of wormwood stick wrapping,the electromagnetic resistance moment of the generator is designed according to the actual working conditions.Based on the improved genetic algorithm,the preforming mechanism is optimized and designed.The multi-objective optimization models of R and e of the preformed mechanism are established,and the improved genetic algorithm combined with the superior and inferior solution distance method is used to analyze and solve the problems.Considering the requirements of lightweight and deformation comprehensively,using ANAYS to perform statics and modal analysis of the mechanism,the parameters R=26 and e=2.79,ρ=0.4693g/cm3,which can meet the requirements of lightweight and deformation,are obtained.Moxa is analyzed by motion simulation in the preforming mechanism.The quantification of wormwood stick.is related to the squeezing of moxa between the preformed rollers.The finite element analysis software ABAQUS is used to carry out kinematics simulation of the preforming mechanism with different roller radius R and roller spacing e,and to analyze the stress and strain between the rollers,R=26 and e=2.79 are obtained.When W=25.6kg/h,N=100r/min,D=150mm and the rotational speed of the screw shaft is 77r/min.At this time,the average mass of Moxa sticks is about 23.59g,compared with the required sample 24g,the quantitative error is 1.6%,the theoretical simulation results are in good agreement with the actual production parameters of wormwood stick.
Keywords/Search Tags:wormwood stick rolling machine, Quantitative winding, Preforming, Multi-objective optimization, The pros and cons solution distance method
PDF Full Text Request
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