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논문 기본 정보
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- 학위논문
- 저자정보
- 지도교수
- 고정한
- 발행연도
- 2017
- 저작권
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The direct-write powder-based additive manufacturing system possesses great potential to produce functionally graded materials (FGM) that require complex material property change within a product. The stable powder deposition is critical for successfully developing a new direct-write powder additive manufacturing system using bio-plastic powders. This thesis focuses on identifying the optimal process conditions of the stable powder deposition for the new additive manufacturing system.
This study uses statistical analysis to uncover the relationship of the process parameters with the powder deposition consistency. The statistical analysis considers main process conditions such as the dispensing nozzle diameter, powder size range, powder type, and agitation frequency. The linearity of the cumulative deposition over time is selected as the criteria to compare the deposition consistency. The study identifies the most suitable statistical model and parameter combinations by examining the curvature of the linear model using replicated center points. The statistical analysis also evaluated the lack-of-fitness of the suggested quadratic models. In addition, this study characterizes an appropriate method to handle exceptional cases of no powder flow data by replacing this missing data value with some values in the dataset. Through these statistical analysis, this study presents a response surface model that best describes the optimal parameter combinations of stable linear powder deposition and verifies the optimal conditions. This study will help develop new additive manufacturing systems and create superior FGM structure.
This study uses statistical analysis to uncover the relationship of the process parameters with the powder deposition consistency. The statistical analysis considers main process conditions such as the dispensing nozzle diameter, powder size range, powder type, and agitation frequency. The linearity of the cumulative deposition over time is selected as the criteria to compare the deposition consistency. The study identifies the most suitable statistical model and parameter combinations by examining the curvature of the linear model using replicated center points. The statistical analysis also evaluated the lack-of-fitness of the suggested quadratic models. In addition, this study characterizes an appropriate method to handle exceptional cases of no powder flow data by replacing this missing data value with some values in the dataset. Through these statistical analysis, this study presents a response surface model that best describes the optimal parameter combinations of stable linear powder deposition and verifies the optimal conditions. This study will help develop new additive manufacturing systems and create superior FGM structure.
목차
1. Introduction 12. Review of the State-of-the-Art Research 43. Development of Direct-write AM Systems 73.1. Powder materials 73.2. Nozzle sizes 83.3. Agitation system 93.4. Overall experimental setup 104. Plan of the Experiments 114.1. Expression of the uniformity in powder deposition 114.2. Screening experiments: selection of variables and their ranges 134.3. Model selection using a 2³ design with center point replicates 154.4. Design of the experiments for an RSM 185. Results and Discussion 205.1. Experiment results and additional statistical treatment 205.2. Statistical analysis: response surface model 215.3. Identification of the optimal condition and validation 276. Conclusions 31References 32Abstract (Korean) 34Appendix 35
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