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Design Of Casting Grinding Dust Control Device Based On IASE

Posted on:2020-08-23Degree:MasterType:Thesis
Country:ChinaCandidate:J D ChenFull Text:PDF
GTID:2432330590957595Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
TRIZ theory and extenics innovation method are systematic,operable and widely applied innovation theories in the existing innovation theories.In order to solve the problem of difficulty and inefficiency in selecting innovation tools,an innovation tool selection strategy based on difficulty coefficient was proposed.On this basis,IASE innovation method was established and applied to the scheme design of dust control device for casting grinding.IASE is an English abbreviation word of Identification,Analysis,Solve and Evaluation.The main contents of this paper include two aspects.The first part is the establishment of IASE innovation method and the application of IASE in the design of dust control device for casting grinding.The second part is the analysis of dust control device for casting grinding,including forward and inverse kinematics,runner,perception system and control system analysis.On the basis of the above analysis,simulation research is carried out to verify the rationality of the design scheme.The foundation of IASE innovation method is the combination of innovation tools in TRIZ theory extenics innovation method,which benefits from the deep research and application foundation of TRIZ theory and extenics innovation method.The essence of IASE innovation method is to divide the problem solving process into four stages: problem identification,problem analysis,problem solving and scheme evaluation.On this premise,the innovation tools of TRIZ and extenics innovation method are reorganized according to the stages of problem identification,analysis,solution and evaluation,and the IASE toolbox is constructed.The key of IASE innovation method lies in the selection strategy of innovation tools.Firstly,this paper establishes a tool difficulty description model,calculates and determines the difficulty coefficients of all tools in IASE toolbox based on the results of the questionnaire survey,and finally constructs an innovation tool selection strategy based on the difficulty coefficients.In the last stage of innovation theory research,IASE’s solution process is modeled as a tree structure,and a path search algorithm is proposed.This algorithm can effectively reduce the number of failed attempts of innovation tools and improve the efficiency of problem solving.In order to verify the feasibility of IASE innovation method,it is applied to the scheme design of grinding dust control device for castings.Firstly,according to the guidance of path search algorithm,the initial path is used to solve the problem,and the tool with the least difficulty coefficient in each stage is used.Then,according to the feedback of the solution results and the difficulty coefficient,the innovation tools used in the next solution are determined.Finally,several schemes are obtained,one of which is selected as the final scheme,and the structural design of the dust control device is carried out according to the scheme.On the basis of the above research,the dust control device designed is analyzed.Firstly,the forward and inverse kinematics analysis and workspace analysis of the dust collector arm on dust control device are carried out,and validated by using MATLAB Robotics Toolbox.Secondly,the perception system of dust control device is analyzed,and three recognition methods for grinding tools based on image processing,classical machine learning and deep learning are studied and discussed,compared and summarized.Then,the control system of dust control device is analyzed,and the strategy of independent control of each joint of the dust collector arm is decided,and each joint uses cascade PID controller.Then,threedimensional model of simulation environment and URDF model of dust control device are established.Based on the analysis results of the dust control device mentioned above,the ROS nodes are programmed with C++ and Python programming languages.In the Gazebo environment,the simulation of automatic dust removal of dust control device is carried out,and finally the software system of dust control device is successfully developed,which primitively verifies that IASE innovation method has practical significance for innovation design of mechanical and electrical systems.
Keywords/Search Tags:IASE innovation method, tool selection strategy, dust control device, ROS, software system
PDF Full Text Request
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