Study On Process Precision Of Fused Deposition Modeling

Fused deposition modeling (FDM) is one of the most widely used rapid prototyping technologies. It can materialize the designing concept from CAD model to prototype or part with a certain feature quickly and accurately, thereby allowing the quick evaluation and modification of the product, shortening the product development cycle effectively. The process precision has big effects on the quality of products in fused deposition modeling, but the process precision of rapid prototyping machines is lower, how to improve the process accuracy of today's rapid prototyping is an important direction for researching.This paper analyzes various factors that affect accuracy of the entire FDM process on aspects of fundamental errors and molding process errors and post-processing errors and put forward countermeasures, providing guidance for subsequent forming piece precision analysis.This paper studies on surface roughness, dimensional accuracy and mechanical properties by selecting parameters such as direction and layer thickness. The theoretical formula for calculating roughness is got by establishing staircase error model and finally obtains the roughness curve. Compared with actual roughness of the part, both have a good match. The compensation equation of dimension is got by establishing theoretical compensation model of ABS filament with certain direction in the molding process and the feasibility of this model is verified, then studies the impact of direction on dimensional accuracy by using this model. Finally, the mechanical properties of FDM parts are studied through tensile and compression tests by using various parameters.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 and finally 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.