Indiana University-Purdue University Indianapolis (IUPUI) / Fused deposition modeling (FDM) represents one of the most common techniques for rapid proto-typing in additive manufacturing (AM). This work applies image based thermography to monitor the FDM process in-situ. The nozzle temperature, print speed and print orientation were adjusted during the fabrication process of each specimen. Experimental and numerical analysis were performed on the fabricated specimens. The combination of the layer wise temperature profile plot and temporal plot provide insights for specimens fabricated in x, y and z-axis orientation. For the x-axis orientation build possessing 35 layers, Specimens B16 and B7 printed with nozzle temperature of 225 C and 235 C respectively, and at printing speed of 60 mm/s and 100 mm/s respectively with the former possessing the highest modulus, yield strength, and ultimate tensile strength. For the y-axis orientation build possessing 59 layers, Specimens B23, B14 and B8 printed with nozzle temperature of 215 C, 225 C and 235 C respectively, and at printing speed of 80 mm/s, 80 mm/s and 60 mm/s respectively with the former possessing the highest modulus and yield strength, while the latter the highest ultimate tensile strength. For the z-axis orientation build possessing 1256 layers, Specimens B6, B24 and B9 printed with nozzle temperature of 235 C, 235 C and 235 ➦C respectively, and at printing speed of 80 mm/s, 80 mm/s and 60 mm/s respectively with the former possessing the highest modulus and ultimate tensile strength, while B24 had the highest yield strength and B9 the lowest modulus, yield strength and ultimate tensile strength. The results show that the prints oriented in the y-axis orientation perform relatively better than prints in the x-axis and z-axis orientation.

Indiana University-Purdue University Indianapolis (IUPUI) / Powder bed fusion (PBF) process is a metal additive manufacturing process, which can build parts with any complexity from a wide range of metallic materials. Research in the PBF process predominantly focuses on the impact of a few parameters on the ultimate properties of the printed part. The lack of a systematic approach to optimizing the process parameters for a better performance of given material results in a sub-optimal process limiting the potential of the application. This process needs a comprehensive study of all the influential parameters and their impact on the mechanical and microstructural properties of a fabricated part. Furthermore, there is a need to develop a quantitative system for mapping the material properties and process parameters with the ultimate quality of the fabricated part to achieve improvement in the manufacturing cycle as well as the quality of the final part produced by the PBF process. To address the aforementioned challenges, this research proposes a framework to optimize the process for 316L stainless steel material. This framework characterizes the influence of process parameters on the microstructure and mechanical properties of the fabricated part using a series of experiments. These experiments study the significance of process parameters and their variance as well as study the microstructure and mechanical properties of fabricated parts by conducting tensile, impact, hardness, surface roughness, and densification tests, and ultimately obtain the optimum range of parameters. This would result in a more complete understanding of the correlation between process parameters and part quality. Furthermore, the data acquired from the experiments are employed to develop an intelligent parameter suggestion multi-layer feedforward (FF) backpropagation (BP) artificial neural network (ANN). This network estimates the fabrication time and suggests the parameter setting accordingly to the user/manufacturers desired characteristics of the end-product. Further, research is in progress to evaluate the framework for assemblies and complex part designs and incorporate the results in the network for achieving process repeatability and consistency.

No description available.

No description available.

No description available.

It is known that altering different processing parameters will yield completely different results in additive manufacturing. Some of the most common ones to alter to increase material quality or to increase productivity are laser power, hatch distance, layer thickness and scan speed. These parameters directly affect the material quality and are well understood. This study investigates how the process for additive manufacturing is being affected by the more unexplored minor process parameters stripe width, stripe overlap, and gas flow, with a goal to increase to knowledge of the process stability in additive manufacturing. Density measurements and investigations in optical tomography were made to determine the minor process parameters effect on the material density and process stability. The density is measured using white light interferometry and the results from the density analysis showed that the minor process parameters does not affect the density of the produced material within the interval used in this study. The minor process parameters effect on the process stability were investigated using the measured gray value obtained from optical tomography. A higher gray value means that the process is kept at a higher temperature for a longer period of time. A decrease in stripe width increased the measured gray value, while an increase of the stripe overlap increased the measured gray value. To understand what the measured gray value means for the process, the spatter area was measured using ImageJ, and a strong correlation between measured spatter area and measured gray value was found, showing that a larger spatter area will be visible as higher measured gray value. The effect of the scan angle was investigated in optical tomography, comparing the mean gray value to the scan angle. Results showed that the mean gray value increases when the angle is close to perpendicular to the gas flow at higher stripe widths and higher stripe overlaps. / Det är känt att olika processparametrar erhåller olika materialkvalitéter när de ändras. Några av de vanligaste att variera för att öka materialkvalitén eller öka produktiviteten är lasereffekten, hatch-avståndet, lagertjocklek and skannhastighet. Dessa parametrar påverkar materialkvalitén och är väl undersökta. Denna studie undersöker hur processen påverkas av de mer okända parametrarna skannbredd, överlapp och gasflödet, med målet att utöka kunskapen kring processtabiliteten i additiv tillverkning. Densitetsmätningar och undersökningar i optisk tomografi gjordes för att bestämma påverkan av de sekundära processparametrarnas påverkan på materialdensiteten och processtabiliteten. Densiteten mäts med en vit-ljus interferometer och resultatet från densitetsanalysen visade att de sekundära parametrarna inte påverkade densiteten av de producerade materialet inom intervallen som användes i denna studie. Påverkan av de sekundära parametrarna på processtabiliteten undersöktes med det uppmätta gråvärdet från optisk tomografi. Ett högra gråvärde innebär att temperaturen är högre under en längre period. En ökning av skannbredden sänkte det uppmätta gråvärdet och en ökning av överlappet ökade de uppmätta gråvärdet. För att förstå vad gråvärdet innebär för processen så mättes arean av stänk i ImageJ. En stark korrelation mellan uppmätt area av stänk och uppmätt gråvärde upptäcktes, vilket visades i att det uppmätta gråvärdet var högre när arean av stänk var större. Påverkan av skannvinkeln undersöktes också i optisk tomografi där jämföranden mellan gråvärdet och skannvinkeln gjordes. Resultatet visade att gråvärdet ökar när skannvinkeln är nära vinkelrät mot gasflödets vid höga värden på skannbredden och överlappet.

Subscription articles: Theses and dissertations which contain embedded PJAs as part of the formal submission can be posted publicly by the awarding institution with DOI links back to the formal publications on ScienceDirect.doi:10.1016/j.msec.2015.10.069 / 京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第19578号 / 医博第4085号 / 新制||医||1013(附属図書館) / 32614 / 京都大学大学院医学研究科医学専攻 / (主査)教授 安達 泰治, 教授 開 祐司, 教授 妻木 範行 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

No description available.

No description available.

No description available.