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Data-Driven Method Of The Wing Position Analysis For Wing-Fuselage Joining Assembly

Posted on:2018-03-03Degree:MasterType:Thesis
Country:ChinaCandidate:M A NiFull Text:PDF
GTID:2381330596988813Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Wing-Fuselage Joining Assembly is an essential part of assembly process for large aircraft parts,which will directly affect the quality and pneumatic performance of the whole plane.Building a system to collect and analysis the wing position during its assembly process is of great significance,which can also monitor wing position state and the assembly quality.However,the traditional wing poisition analysis method based on the metrical data of key features measured directly by laser tracker makes it difficult to engage continuous online monitor for wing pose.Moreover,another traditional method based on finite element analysis focuses on the influence of key structural parts.It is mainly implemented in optimum design of structural parts,and could hardly be applied to online monitoring.Consequently,this paper present an online analytical method for wing position.The data collection system is built to collect the data in this assembly station and the method based on positioner data is researched to calculate the wing position.First,to deal with the magnanimity and multisource of data in this wing-joining assembly station,the workshop network framework is designed and the data collection system is built.The data interface of different equipments in this assembly station are researched and the data collection system based on OPC(OLE for process control)is developed.Different system variables are classified and transformed into OPC data access models.Different data access methods are used to access different system variables.This system can scan all of the data tag of this sataion in every 30 seconds and collect more than ten million data records every month.The data features of the equipments are studied,the data warehouse oriented wing position analysis subject is established.Through data modeling,the data is transformed for wing position analysis.Then,the method based on positioner time series data and Ko displacement theory is researched to calculate the wing position.The data characteristics and signal noise of the three-axis positioner are analysed,the series decoomposition method is used to clean the data.What's more,the analysis method of the position change of wing during wing-fuselage joining assembly is described,the dimensional allowance of the deviation of wing's seeting angle,positive-dihedral angle and sweep angle are transformed into linear dimensional allowance.This method can accurate calculate the wing position and monitor its change.Combined with assembly data from other system,the process stabilization and other issues in subassembly are found.This means this method can also monitor the subassembly in wing-joining assembly.Based on the research above,a prototype system of data collection and Wing Position Analysis for Wing-fuselage joining assembly is designed and developed based on an airplane manufacturing enterprise in Shanghai.By analyzing the system requirements,the software modules are designed.The process design and the database design of two modules are designed.Finally,the system operational interface is presented.
Keywords/Search Tags:Data-driven, three-axis positioner, time series decomposition, position analysis of wind
PDF Full Text Request
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