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The Static/Dynamic Performance Analysis And Structure Optimization Of Sawing And Milling Machining Equipment For Long Narrow Aluminum Components

Posted on:2017-03-22Degree:MasterType:Thesis
Country:ChinaCandidate:W Q LiuFull Text:PDF
GTID:2271330485982548Subject:Engineering
Abstract/Summary:PDF Full Text Request
The long narrow aluminum components have the characteristics of small density, high intensity, easy processing, corrosion resistance and easy recycling, which widely used in the fields of construction, automotive, rail transportation, aviation and shipping. The machining efficiency and the precision of the aluminum need to be improved and the processing technology and equipment of narrow long aluminum components gain increasing attention. At present, the long narrow aluminum components are usually manufactured with the large span gantry machining center, but it spends highly and has low processing efficiency. The C-shape aluminum machining center is suitable for the fast loading and unloading and processing of the narrow long aluminum workpiece, but it has poor static/dynamic performance and can’t guarantee the processing quality. Therefore, it is of great significance to design a machining equipment to complete the sawing and milling combined processing of the long narrow aluminum components, which is efficient, economical and good at the static/dynamic performance.According to the structure and processing characteristics of the narrow long aluminum components and the research of the related processing equipment at home and abroad, determine the design requirements, general layout, main technical parameters and precision index of the sawing and milling machining equipment for long narrow aluminum components. On the basis of the principle of modular design, make the module partition of the machining center. In this chapter, introduce the beam and the separated as well.Analyze the static and dynamic characteristics of the whole machine structure and optimize the fracture. Analyze static deformation of machining equipment considering the cutting force or not. On the basis of the series stiffness field theory, draw the series stiffness atlas, according to which the percentage of the deformation of parts to the system and the sudden change of the system stiffness can be determined. According to the modal analysis, the first six order natural frequency and mode shape can be obtained, then we can find the weakness of the system dynamic performance. Finally, use the method of the gradient optimization to optimize the thickness of the ram, which is the weakness of the machining equipment.Analyze the static and dynamic characteristics of the beam. Analyze the static performance of the beam in different positions and obtain the deformation curve of the beam in the Z-axis and the linear error of the equipment in the Y-axis. According to the modal analysis and the harmony response analysis, the first six order natural frequency, mode shape and the frequency response curves of the beam can be obtained, which can provide a theoretical foundation for the choice of the cutting parameter.On the basis of the response surface modal and the Genetic Algorithm, realizing the lightweight design of the bed. On the basis of the Central Composite Design and Kriging, establish the response surface modal of the design variables and the response output of the bed. According to the response surface modal, establish and solve the Genetic Algorithm (GA) optimization model about the mass of the bed. Analyze the design parameters on the sensitivity of the objects and the constraints, then get the bed dynamic optimization design parameters of fixed optimal solution set, realizing the lightweight design of the bed.The study provides a method for the design of the long narrow aluminum components machining equipment and the basis for the static/dynamic performance analysis and structure optimization. The study can improve the processing quality of the long narrow aluminum components.
Keywords/Search Tags:long narrow aluminum components, sawing and milling machining equipment, static/dynamic performance, genetic algorithm, size optimization
PDF Full Text Request
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