In the aerospace propulsion sector safety is an important driver to costs, vehicle design and mission capabilities. Hybrid rockets are considered some of the safest forms of chemical propulsion. That factor alone makes hybrid rocket propulsion systems desirable options. Hybrid systems often benefit from multiple additional advantages over conventional solid and liquid propellant systems, including: minimal environmental impact, higher density impulses, start-stop-restart capabilities, simplistic random throttle control, low development costs, and basic transportation and storage requirements. A major issue that continues to impact the effective use of hybrid systems, is that classical hybrid rocket fuels suffer in low regression rates. If fuel regression rates can be improved upon without diminishing any of the other beneficial factors to a hybrid rocket motor then a far greater market for such systems can be generated. In this work, additively manufactured polypropylene solid fuel grains were infused with gels as a means of significantly altering the fuel burning rates in a lab scale hybrid rocket motor. Gels based on Jet-A were created using both particulate (fumed silica, micro aluminum, nano aluminum) and polymeric (paraffin wax) gellants. The particle structure of the aluminum powders was characterized by means of microscopic imaging, particle size measurement, and thermal mass response analysis. The rheological behavior of the gels was characterized in order to determine the relationship between melt layer viscosity, viscoelastic properties, and combustion performance. High speed color video recording was used on select grains for spatially and temporally resolved three-color camera pyrometry analysis. The process showed promise in determining aluminized gel burn time across an entire rocket firing. The performance of the gel infused grains was compared to a traditional center perforated fuel grain, under similar flows of gaseous oxygen. Rocket motors fired with gel infused grains exhibited pressure increases of greater than 40%. Gel infused fuel grains demonstrated regression rate enhancements up to 90% higher than the baseline. The estimated gel regression rates were over 500% higher than the host polypropylene fuel. When the O/F was maintained near stoichiometric or lean conditions, c∗ efficiencies of the gel infused grains were similar to that of the baseline indicating thorough combustion of the gels. At low oxygen mass flows, the effects of gel infusion are not as significant, which is consistent with the liquefying fuel entrainment concept. / Master of Science / In the field of air and space flight, safety is an important driver to costs, vehicle design and mission capabilities. Hybrid rockets are considered some of the safest forms of vehicle lift systems compared to similar forms. That factor alone makes hybrid rockets desirable options. Hybrid systems often benefit from multiple additional advantages over similar systems often used, including: minimal environmental impact, greater force for a given time and volume of fuel, start-stop-restart capabilities, simplistic random motor control, low development costs, and basic transportation and storage requirements. A major issue that continues to impact the effective use of hybrid systems is that classical hybrid rocket fuels suffer in low burn rates. If fuel burn rates can be improved upon without diminishing any of the other beneficial factors to a hybrid rocket motor then a far greater market for such systems can be generated. In this work, specially manufactured solid fuel grains were combined with gels as a means of significantly altering the fuel burning rates in a small scale test setup. Gels based on a type of jet fuel were created using multiple gel forming and modifying materials. The structure of two types of small scale aluminum powders was characterized by means of microscopic imaging, particle size measurement, and weight response to thermal changes. Properties specific to the gels were characterized in order to determine performance relationships to individual material properties. High speed color video recording was used on select grains for space and time resolved three-color camera temperature analysis. The process showed promise in determining aluminized gel burn time across an entire rocket firing. The performance of the gel modified grains was compared to a traditional fuel grain design, under similar flows of gaseous oxygen. Rocket motors fired with gel modified grains exhibited pressure increases of greater than 40%. Gel modified fuel grains demonstrated burn rate enhancements up to 90% higher than the traditional fuel grain design. The estimated gel burn rates were over 500% higher than the host polypropylene fuel. When ideal conditions were maintained, fuel burn efficiencies of the gel modified grains were similar to that of the traditional fuel grain design indicating ideal burning of the gels. At low oxygen flow rates, the effects of gel addition are not as significant, which is consistent with an expectant similar concept.

In this thesis, we develop a new method for Additive Manufacturing of felt to make three dimensional objects. Felting is a method of intertwining fibers to make a piece of textile. In this work, a 6 DOF UR-5 robotic arm equipped with a 3 DOF tool head to test various approaches to using felting. Due to the novelty of this approach several different control architectures and methodologies are presented. We created felted test samples using a range of processing conditions, and tested them in an Instron machine. Samples were tested parallel to the roving fiber direction and perpendicular to the roving fiber direction. Additionally, two pieces of felt were attached to each other with needling, and these were tested with T-peel tests, pulling both in the direction of the roving fibers and perpendicular to the fibers. We present results for the Young's Modulus and Ultimate Strength of each of these samples. It is anticipated that given the appropriate combination of materials and robotic tooling, this method could be used to make parts for a multitude of applications ranging from custom footwear to advanced composites. / Master of Science / In this paper a new approach to Additive Manufacturing centered on mechanically binding fibers together into a cohesive part is presented. This is accomplished via a robotic system and a process called felting, whereby needles push fibers into each other, entangling them. To validate this approach each system and method was tested individually. We present the results of mechanical tests of a variety of felted samples. Given the results, it is believed that robotic needle felting may be a beneficial method of manufacture for several fields, and it has the potential to easily make customized products.

Consumer additive manufacturing (3D printing) has rapidly grown over the last decade. While the technology for the most common type, Fused Filament Fabrication (FFF), has systematically improved and sales have increased, fundamentally, the capabilities of the machines have remained the same. FFF printers are still limited to depositing layers onto a flat build plate. This makes it difficult to combine consumer AM with other objects. While consumer AM promises to allow us to customize our world, the reality has fallen short. The ability to directly modify existing objects presents numerous possibilities to the consumer: personalization, adding functionality, improving functionality, repair, and novel multi-material manufacturing processes. Indeed, similar goals for industrial manufacturing drove the research and development of technologies like direct write and directed energy deposition which can deposit layers onto uneven surfaces. Replicating these capabilities on consumer 3-axis FFF machines is difficult mainly due to issues with reliability, repeatability, and quality. This thesis proposes, demonstrates, and tests a method for scanning and printing dimensionally-accurate (unwarped) digital forms onto physical objects using a modified consumer-grade 3D printer. It then provides an analysis of the machine design considerations and critical process parameters. / Master of Science / Consumer additive manufacturing (3D printing) has rapidly grown over the last decade. While the technology for the most common type, Fused Filament Fabrication (FFF), has systematically improved and sales have increased, fundamentally, the capabilities of the machines have remained the same. FFF printers are still limited to depositing layers onto a flat build plate. This makes it difficult to combine consumer AM with other objects. While consumer AM promises to allow us to customize our world, the reality has fallen short. The ability to directly modify existing objects presents numerous possibilities to the consumer: personalization, adding functionality, improving functionality, repair, and novel multi-material manufacturing processes. Indeed, similar goals for industrial manufacturing drove the research and development of technologies like direct write and directed energy deposition which can deposit layers onto uneven surfaces. Replicating these capabilities on consumer 3-axis FFF machines is difficult mainly due to issues with reliability, repeatability, and quality. This thesis proposes, demonstrates, and tests a method for scanning and printing dimensionally-accurate (unwarped) digital forms onto physical objects using a modified consumer-grade 3D printer. It then provides an analysis of the machine design considerations and critical process parameters.

Unlike traditional stochastic scaffold fabrication techniques, additive manufacturing (AM) can be used to create tissue-specific three-dimensional scaffolds with controlled porosity and pore geometry (meso-structure). However, due to the relatively few biocompatible materials available for processing in AM machines, direct fabrication of tissue scaffolds is limited. To alleviate material limitations and improve feature resolution, a new indirect scaffold fabrication method is developed. A four step fabrication process is explored: Fused Deposition Modeling (FDM) is used to fabricate scaffold patterns of varied pore size and geometry. Next, scaffold patterns are surface treated, and then mineralized via simulated body fluid (SBF); forming a bone-like ceramic throughout the scaffold pattern. Finally, mineralized patterns are heat treated to pyrolyze the pattern and sinter the minerals. Two scaffold meso-structures are tested: "tube" and "backfill." Two pattern materials are tested [acrylonitrile butadiene styrene (ABS) and investment cast wax (ICW)] to determine which material is the most appropriate for mineralization and sintering. Mineralization is improved through plasma surface treatment and dynamic flow conditions. Appropriate burnout and sintering temperatures to remove pattern material are determined experimentally. While the "tube scaffolds" were found to fail structurally, "backfill scaffolds" were successfully created using the new fabrication process. The "backfill scaffold" meso-structure had wall thicknesses of 470 – 530 µm and internal channel diameters of 280 – 340 µm, which is in the range of appropriate pore size for bone tissue engineering. "Backfill scaffolds" alleviated material limitations, and had improved feature resolution compared to current indirect scaffold fabrication processes. / Master of Science

Master of Science / As parts in any device age, something inevitably breaks. When dealing with a broken metallic part, one can either replace it or repair it. Repairing is generally preferred so long as it is not too costly. Unfortunately, repairing a component is often more expensive due to the material being difficult to work with or the geometry being too intricate to fix. Additive manufacturing, commonly known as 3D printing, allows precise placement of material to build a part and has allowed the repair of complex parts. However, some materials are severely weakened using traditional additive manufacturing technologies, which melt small amounts of material and force it to cool in place quickly. To combat this, methods that do not require the material to melt could be used. Currently, these methods place a large amount of material at once, causing significant waste if the excess needs to be removed. Therefore, this work aims to create a small-scale device using a traditional milling machine. It was shown to be capable of placing small amounts of material while offering the advantage of not melting the metal. In the future, it could provide an avenue to repair previously unreachable.

Impedance-based Non-Destructive Evaluation for Additive Manufacturing (INDEAM) is rooted in the field of Structural Health Monitoring (SHM). INDEAM generalizes the structure-to-itself comparisons characteristic of the SHM process through introduction of inter-part comparisons: instead of comparing a structure to itself over time, potentially-damaged structures are compared to known-healthy reference structures. The purpose of INDEAM is to provide an alternative to conventional nondestructive evaluation (NDE) techniques for additively manufactured (AM) parts. In essence, the geometrical complexity characteristic of AM processes combined with a phase-change of the feedstock during fabrication complicate the application of conventional NDE techniques by limiting direct access for measurement probes to surfaces and permitting the introduction of internal defects that are not present in the feedstock, respectively. NDE approaches that are capable of surmounting these challenges are typically highly expensive. In the first portion of this work, the procedure for impedance-based NDE is examined in the context of INDEAM. In consideration of the additional variability inherent in inter-part comparisons - as opposed to part-to-itself comparisons - the metrics used to quantify damage or change to a structure are evaluated. Novel methods of assessing damage through impedance-based evaluation are proposed and compared to existing techniques. In the second portion of this work, the INDEAM process is applied to a wide variety of test objects. This portion considers how the sensitivity of the INDEAM process is affected by defect type, defect size, defect location, part material, and excitation frequency. Additionally, a procedure for studying the variance introduced during the process of instrumenting a structure is presented and demonstrated. / Doctor of Philosophy / Impedance-based Non-Destructive Evaluation for Additive Manufacturing (INDEAM) is a quality control approach for detecting defects in structures. As indicated by the name, impedance-based evaluation is discussed in this work in the context of qualifying additively manufactured (3D printed) structures. INDEAM fills a niche in the wider world of nondestructive evaluation techniques by providing a less expensive means to qualify structures with complex geometry. Complex geometry complicates inspection by preventing direct, physical access to all the surfaces of a part. Inspection approaches for parts with complex geometry suffuse a structure with energy and measure how the energy propagates through the structure. A prominent technique in this space is CT scanning, which measures how a structure attentuates x-rays passing through it. INDEAM uses piezoelectric materials to both vibrate a structure and measure its response, not unlike listening for the dull tone of a cracked bell. By applying voltage across a piezoelectric patch glued to a structure, the piezoelectric deforms itself and the bonded structure. By monitoring the electrical current needed to produce that voltage, the ratio of applied voltage to current draw---impedance---can be calculated, which can be thought of as a measure of how a system stores and dissipates energy. When the applied voltage oscillates near a resonant frequency of a structure (the pitch of a rung bell, for example) the structure vibrates much more intensely, and that additional movement dissipates more energy due to viscosity, friction, and transmitting sound into the air. This phenomenon is reflected in the measured impedance, so by calculating the impedance value over a large range of frequencies, it is possible to identify many resonances of the structure. So, the impedance value is tied to the vibrational properties of the structure, and the vibration of the structure is tied to its geometry and material properties. One application of this relationship is called impedance-based structural health monitoring: taking measurements of a structure when it is first built as a reference, then measuring it again later to watch for changes that indicate emerging damage. In this work, the reference measurement is established by measuring a group of control structures that are known to be free of defects. Then, every time a new part is fabricated, its impedance measurements will be compared to the reference. If it matches closely enough, it is assumed good. In both cases, impedance values don't indicate what the change is, just that there was a change. A large portion of this work is devoted to determining the types and sizes of defects that can be reliably detected through INDEAM, what effect the part material plays, and how and where the piezoelectric should be mounted to the part. The remainder of this work discusses new methods for conducting impedance-based evaluation. In particular, overcoming the extra uncertainty introduced by moving from part-to-itself structural health monitoring comparisons to the part-to-part quality control comparisons discussed in this work. A new method for mathematically comparing impedance values is introduced which involves extracting the resonant properties of the structure rather than using statistical tools on the raw impedance values. Additionally, a new method for assessing the influence of piezoelectric mounting conditions on the measured impedance values is demonstrated.

In recent years, there has been a growing concern over the adverse effects of traditional fossil fuels on the environment and health. Therefore, there is an increased interest in hydrogen as a fossil-free fuel source, making the need for hydrogen solutions apparent. This supports the purpose and research questions of this study, which aim to determine the suitable materials for handling hydrogen and the necessary design for structural integrity to withstand pressure. This will be achieved through additive manufacturing using polymers. The study also considers the potential of additive manufacturing for large-scale production. After conducting literature studies, polymers are of special interest due to their different structural build compared to metals. Metals do not handle hydrogen well because of the phenomenon known as hydrogen embrittlement. The preferred material properties in polymers are a crystalline structure, high density, and strong mechanical properties. The design and production are conducted using SolidWorks, with simulations of pressure and topology optimization, making it possible to create a part ready for 3-D printing after slicing. The results provide insights into the effects of parameter adjustments on the structure of the parts and the feasibility of large-scale production through additive manufacturing. By analysing the slicer program, conclusions can be made that additive manufacturing is a viable option for large-scale production, given the availability of multiple printers. However, the conclusion regarding the optimal design for handling pressurized hydrogen could not be made due to a lack of time for testing.

At the present work the UO2 fuel production process was extensively studied and analyzed. The objectives of such investigation were to understand and analyze the influence of different additives and the variation of the production process steps on the microstructure and consequently in the mechanical strength of the nuclear fuel pellet. Moreover, an improvement of the qualitative characteristics of the ceramic fuel pellets was also aimed. For this purpose UO2 pellets without additives, the so-called standard pellets, pellets containing as additive for example AZB (Azodicarbonamid), black U3O8 (Oxidized uranium pellet scrap - OS), green U3O8 (Oxidized uranium powder - OP), keratin fibers (a non conventional additive) were produced. The introduction of these additives to the UO2 powder mixture prior or after the granulation production step and in different concentrations produced several microstructure configurations. As it would not be possible to analyze all of them here so during the investigation pre-tests some of them were separated to be studied in more detail. Pellets with AZB added after the granulation presented larger grains and larger pores than those with AZB added before granulation, also porosity free grains and a granulate structure instead of a homogeneous one. Pellets with OS present fine porosity distributed all over the pellet matrix with some porosity clusters whereas pellets containing OP show in its matrix porosity agglomerated in form of hooks. As for the grain size, a more uniform grain size distribution can be observed in pellets OS than in pellets with OP. The variations in the amount of keratin fibers added, sintering dwell time and green density resulted indeed in different microstructures. Nevertheless, some common characteristics among them were observed such as the presence of elongated pores, porosity clusters and larger grains located at the pellets borders while the smaller ones were concentrated more in the central part of the pellet. This distribution of grains was identified as bi-modal structure. The mentioned microstructure aspects certainly influence on the mechanical properties of the fuel pellet. However, the sintering parameters, the green and final pellet density and the pellet dimensions also have an influence on the mechanical characteristics of the pellets. For studying the influence of all these parameters on the pellet mechanical properties four testing procedures were utilized the so-called squirrel-cage where the mechanical resistance of the not sintered pellets against mechanical shocks was tested, the diametrical compression test (Brazilian Test) where the strength of sintered and not sintered pellets was studied, the Vickers indentation technique and the creep test where the pellet plasticity respectively at room and at elevated temperatures was analyzed. The squirrel-cage results showed that the pellets with keratin fibers were much more mechanically resistant than those pellets without it, which means that the keratin fibers acted, prior sintering, as a powder binder increasing the cohesion among the powder granules proportionating the green pellets higher mechanical resistance against impacts. The Brazilian test evaluated the influence of the pellet length to the pellet diameter (L/D ratio), the influence of different additives mixed to the UO2 powder and the different pellet production processes. The L/D influence analysis showed that if one fixes the pellet diameter and increase the pellet length the Weibull modulus (here a measure of the pellet lot reliability) will also increase. By comparing pellets with OS, OP and 0.3% keratin fibers it was observed that pellets with OS presented the highest volume of pores smaller than 10 mm while pellets with OP and keratin presented the highest volume of pores larger than 20 mm. It seems that this relevant characteristic favored to the highest Weibull strength value for pellets with OS. In the indentation test standard pellets, pellets with OS and pellets with keratin fibers were tested. The results showed that the calculated hardness for the standard pellets is slightly lower when compared to the values obtained by the pellets with keratin fibers. Also the pellets containing OS when compared to the keratin fibers pellets have in most of the cases a lower hardness. The calculated fracture toughness and fracture surface energy values show also a better mechanical behavior for the keratin fibre pellets than in the standard pellets. Standard pellets, pellets with 30%OP, which had the smallest grain size, pellets with keratin fibers, having the bi-modal structure and pellets with chromium oxide, which had the largest grain size, were tested in the creep furnace. The results showed that all pellets with additives presented a better creep behavior than the standard pellets. Among the pellets prepared with additives the comparison clearly showed that under lower stresses pellets with smaller grains have a better creep rate. By increasing the applied stresses we observe an improvement of the creep rate of the pellets with chromium oxide and keratin fibre even slightly overcoming the pellets with 30%OP at the highest applied stress. / Sacramento Santana, HH. (2014). Improving mechanical properties and microstructure development of fiber reinforced ceramic nuclear fuel [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/37199

<p dir="ltr">Repeated loading and unloading cycles lead to the formation of strain in the material which causes initiation of the crack formation this phenomenon is called fatigue. Fatigue properties are critical for structures subject to cyclic load; hence fatigue analysis is used to predict the life of the material. Fatigue analysis plays an important role in optimizing the design of the 3D printed material and predicting the fatigue life of the 3D printed component.</p><p><br></p><p dir="ltr">The main objective of this thesis is to predict the fatigue behavior of different microstructures of Ti-64 titanium alloy by using the PRISMS-Fatigue open-source framework. To achieve this goal Ti-64 microstructure models were created using programming scripts, then the structures were exported to a finite element visualization software package, with all the required properties embedded in the pipeline. The PRISMS-Fatigue framework is used to conduct a fatigue analysis on 3D printed materials, using the Fatigue Indicator Parameters (FIP), which measure the driving force of fatigue crack formation in the microstructurally small crack growth.</p><p><br></p><p dir="ltr">Three different microstructures, i.e., cubic equiaxed, random equiaxed, and rolled equiaxed microstructures, are analyzed. The FIP results show that the cubic equiaxed grains have the best fatigue resistance due to their isotropic structural characteristics. Additionally, the grain size effect using 1 and 10 micrometers is investigated. The results show that the 1 micrometer grain size cubic equiaxed microstructure has a better fatigue resistance because as grains are small and they have a higher mechanical strength.</p>

Doctor of Philosophy / The long-term research goal of this dissertation is to enable flaw-free production of metal parts using the laser powder bed fusion (LPBF) additive manufacturing (AM) process. As a step towards this long-term goal, the goal of this work is to predict and control the thermal history of an LPBF part. The thermal history is the spatiotemporal distribution of temperature in an LPBF part as it is created layer by layer. Thermal history is the primary cause of flaw formation in LPBF. To realize this goal, the objective of this dissertation is to establish and advance a novel thermal modeling method based on the concept of spectral graph theory, which is more than 10 times faster than existing finite element-based methods for the same level of accuracy. The central hypothesis is that physics-guided prediction, optimization, and control of thermal history mitigates flaw formation and enhances functionally critical properties of LPBF-processed parts when compared to parts produced without control of thermal history. The practical rationale and need for this work are as follows. LPBF is becoming increasingly prevalent due to its ability to fabricate complex structures that would otherwise be impossible with traditional subtractive and formative manufacturing processes. The freedom of geometry afforded by AM processes such as LPBF enables designers to place a stronger emphasis on design efficiency rather than the manufacturability of components. It also facilitates greater supply chain flexibility, reducing part lead times and costs. For example, making an aerospace part weighing just one kilogram with traditional subtractive and formative techniques requires processing 20 kilograms of raw material—a buy-to-fly ratio of 20:1—and lead times for new parts are often several months long. LPBF reduces the buy-to-fly ratio to less than 5:1, and the lead time is just a few weeks. Despite these advantages, LPBF has seen limited industry adoption and use, especially in safety-critical applications, due to the tendency of the process to form flaws. Approximately one in three parts are affected by flaws. Flaw formation leads to inconsistent part properties and can cause catastrophic failures in safety-critical aerospace, defense, and biomedical applications. Flaw formation in LPBF parts is mainly attributed to the thermal history. Thermal history, in turn, is influenced by complex design-process-material-machine interactions that require mathematical modeling. Rapid and accurate prediction of the thermal history can enable practitioners to avoid flaw formation and achieve desired part properties by optimizing the part design and process parameters before the part is printed. This dissertation leverages the graph theory modeling to address the burgeoning practical need for a rapid, accurate, and experimentally validated physics-based approach for mitigating flaw formation and ensuring part quality in LPBF