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Design Of Rapid Prototyping Machine Based On FDM Technology And The Optimal Inquiry Of Molding Accuracy

Posted on:2017-04-10Degree:MasterType:Thesis
Country:ChinaCandidate:J F ZhuFull Text:PDF
GTID:2272330488485000Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
3D printing technology has been widely used in many fields, including architecture, industrial design, jewelry design, civil engineering, and so on.3D printing improves product innovation speed, and reduces the cost of innovation. With the process characteristics of digital manufacture and rapid prototyping,3D printing technology can save a lot of R&D manufacturing time, accelerate the design innovation speed, and be expected to create a "individual creativity+ community participation+cloud service" as the representative of the new business model. Although 3D printing technology has a broad space for development, there are still some limitations and technology shortcomings, such as the manufacturing speed of simple structure parts is slow, relatively low manufacturing accuracy, the quality of the machined surface is relatively rough and the use range and properties of material are relatively restricted and other issues, and these problems remains to be further explored and researched.In this paper, we designed a single nozzle FDM molding equipment, made the first test prototype, and the optimization of process parameters with the forming process was studied by.the prototype as the experimental platform. The work of this dissertation includes the following.(1) Based on the research of FDM molding process, we finished the FDM process equipment of the overall design of mechanical system, mainly including the design of the XYZ axis movements, extrusion mechanism design and the virtual assembly of the whole equipment, and at the same time made a test prototype and completed the debugging and normal print job.(2) The construction of the control system of FDM rapid prototyping machines was completed; the main circuit module was analyzed, mainly including the Arduino Mega2560 micro controller circuit, stepper motor driver circuit, nozzle temperature control circuit, communication interface circuit, power supply module circuit and switch circuit; and the assembly debugging of circuit and the revision and perfection of firmware was finished.(3) From hardware and software parameters settings, the Q-01 type fast machine precision molding influence of error sources, error formation mechanism and its influencing factors were analyed. For hardware error factors generated, an improved method and optimization direction were given; for the five main issues that exist in the actual printing process, from the perspective of the software parameters set its formation mechanism, and provide appropriate solutions to further improve printing accuracy of the device provides an important reference.(4) This paper presents experimental investigations on influence of important process parameters on dimensional accuracy of Fused Deposition Modeling. The Taguchi method and orthogonal test method are used in experiments and obtain optimum level of process parameters under the single-objective situation. Grey Taguchi method is adopted to obtain optimum level of process parameters for multi-response to minimize percentage change andf nally get the results and forming a complete set of process of FDM based on parameter optimization, which has guiding significance on both process accuracy and selection of relevant parameters.
Keywords/Search Tags:Fused deposition molding, Structurc design, Forming precision, Optimization of process parameters, Orthogonal test
PDF Full Text Request
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