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Research On The Equipment Configuration Of The Whole Process Of Robotic Automated Polyester Filament Winding Package

Posted on:2022-01-01Degree:MasterType:Thesis
Country:ChinaCandidate:C NiuFull Text:PDF
GTID:2481306494479054Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
In the background of "Made in China 2025",textile enterprises need to introduce robot to validly increase production efficiency and lower investment costs.Our country has established a full-process automated demonstration production line for polyester filament winding packages.However,due to the lack of systematic equipment configuration plan in its large-scale promotion process,unreasonable equipment configuration is prone to occur in actual production.The lack of close coordination between processes leads to invalid waiting congestion,which restricts the benefits of companies.Equipment configuration is a basic project for constructing a factory.Therefore,studying the whole-process equipment configuration is of great significance for accelerating the intelligent development of the polyester filament.This paper firstly automates the planning of the entire winding package process to optimize the equipment configuration from the overall perspective;secondly,it studies how to optimize the number of equipment based on the balance method,and provides an equipment configuration system.The purpose of this system is to simplify the quantity and save the cost while ensuring the production capacity and reliability.The research mainly includes the following contents:(1)Industrial engineering methods such as functional analysis and motion improvement are used to optimize equipment configuration in terms of time and space relationships.In-depth analyzing the process of polyester filament winding package.Combined with the characteristics of the robot operation,studying the design principles and planning schemes of the automation production line from the aspects of process,layout,and equipment.(2)On account of the research of balance analysis,the mathematical model of robot configuration is established to configuring the number of equipment.Summarizing the commonly used constraints and objective functions in balance optimization.Through the reliability analysis to study the relevance between the number of robot,costs,process reliability,etc.Deriving the constraints of planned automated production line process and layout,and considering packaging efficiency,line balance and cost to establish the objective function,so that the mathematical model of the whole process equipment configuration of the winding package is established.(3)The optimization algorithm is applied to find the solution of the equipment configuration problem.On account of the characteristics of the established mathematical model,the processes of genetic algorithm and the particle swarm algorithm are designed and important parameters are set.Integrating mathematical models and algorithms to design equipment configuration systems according to production requirements,which provides a platform basis for planning equipment configuration.(4)Based on the research information,application is given to test the availability of the equipment configuration system.The usability of genetic algorithm and particle swarm algorithm is analyzed through the algorithm comparison.In order to study the running status of the obtained configuration scheme at random operation time,the production line was simulated with the help of Flexsim to verify the rationality of the scheme.By studying the above content,the equipment configuration is optimized from the aspects of process,layout,quantity relationship,etc.The equipment configuration model is established and two optimization algorithms are designed.The equipment configuration system is provided,which has great functional meaning to promote the construction of the whole process of the automatic polyester filament winding package.
Keywords/Search Tags:textile equipment, equipment configuration, production line balance, design of optimization algorithm, industrial engineering, simulation
PDF Full Text Request
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