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Showing 1 to 20 of 49 for “"Alloy Design"”.
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Aluminium Alloy Design Using Machine Learning
Aluminium alloys play a pivotal role in modern engineering and manufacturing, owing to their unique combination of strength-to-weight ratio. The design of aluminium alloys often encounters a trade-off between strength and ductility, making it challenging to achieve desired properties. Machine …
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Aluminium Alloy Design Using Machine Learning
Aluminium alloys play a pivotal role in modern engineering and manufacturing, owing to their unique combination of strength-to-weight ratio. The design of aluminium alloys often encounters a trade-off between strength and ductility, making it challenging to achieve desired properties. Machine …
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Alloy Design for a Fusion Power Plant
… and embrittlement of a set of candidate alloys, reduced-activation ferritic-martensitic steels. The models have been compared to other methods, and it is demonstrated that a neural network approach to modelling the properties of irradiated steels provides a useful tool in the future …
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Hydrogen trapping in bearing steels: mechanisms and alloy design
… bearings display a significant decrease in alloy strength and accelerated failure due to rolling contact fatigue. In spite of these problems being well recognised, there is little understanding as to which mechanisms are present in hydrogen induced bearing failure. The objective of this …
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Alloy design or three-dimensional printing of hardenable tool materials
… infiltrant; (4) computer-aided material system design and (5) methodology exploration of the material system development.The 420/bronze material system with a minimum reaction was developed experimentally, by screening 30 potential material systems. Compared to the initial 3DP and reactive …
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Understanding the Stability of Retained Austenite in High-Carbon Steels: Modelling and Alloy Design
… tailoring chemical composition and processing to design steels that possess optimal austenite stability, but do not require too many expensive austenite stabilising elements such as nickel. This research aims to develop equations for modelling the critical stress and progress of …
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Hydrogen embrittlement in nuclear and bearing applications: from quantum mechanics to thermokinetics and alloy design
Hydrogen embrittlement in ferrous and non-ferrous alloys is, and has been for over a century, a prominent issue within many sectors of industry. Despite this, the mechanisms by which hydrogen embrittlement occurs and the suitable means for its prevention are yet to be fully established. As hydrogen …
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From Functionally Graded to Grain-Boundary-Decorated Nanograined Alloys: a New Approach to Bulk Lightweight Alloy Design via Friction Stir Processing
… For the Al–Zn system, a full factorial design of experiment (DOE) with regression modeling is employed to quantify the effects of processing parameters: rotational and traverse speeds, on peak temperature and groove length percentage. Following DOE analysis, further investigation of …
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Design of Superelastic Secondary-Phase-Toughened Alloys
… is to increase material lifetime through alloy design aimed at improving mechanical performance under difficult conditions like fatigue. This thesis presents an alloy design strategy to benefit from transformation toughening without retention of the transformation product by designing a …
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Microstructure design of mechanically alloyed materials
… densification of powders or foils. Several alloy design strategies have been developed to overcome these thermal stability issues, but their efficacy depends on the spatial distribution of the stabilizing element in the feedstock materials, which are typically prepared using extensive …
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Irradiation effects on mechanical and physical properties of SS304L-nanotube composites
… performance under irradiation and increase their design lifetime. Traditional alloy design always sacrifices one property for another, such as strength for ductility, or creep strength for radiation resistance.
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Grain Boundary Solute Segregation in Vanadium
Vanadium alloys are a candidate structural material in nuclear fusion applications, where the presence of grain boundaries can improve mechanical properties and act as a sink for radiation- induced defects. Solutes with a thermodynamic preference to segregate to grain boundaries can stabilize them, …
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The Spectral Model of Grain Boundary Solute Segregation
… impact the structural properties of metallic alloys, and induce effects that range from strengthening to embrittlement. And, as such, the control of solute segregation is emerging as an alloy design tool, uses of which include the stabilization of nanocrystalline alloys. To date, the standard …
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Exploring crystallographic compatibility in polycrystalline Cu-based shape-memory alloys
Shape-memory alloys (SMAs) are a class of materials that can recover from apparent permanent strain (on the order of 5%) due to a solid-to-solid phase transformation. It has been recently suggested that SMAs satisfying a set of so-called cofactor conditions possess perfect interface compatibility …
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Diffusional lithium trapping as a failure mechanism of aluminum foil anodes in lithium-ion batteries
… in aluminum foil anodes can be mitigated through alloy design, with the addition of 2 - 3 wt.% Li yielding improved first cycle efficiency, and the addition of 1 wt.% Si yielding improved cycle life. These results provide a mechanistic understanding of diffusional lithium trapping in aluminum foil …
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Overcoming the limits of strain-induced martensitic transformation in metastable face-centered cubic alloys
… substantial property enhancement for metallic alloys. Amongst them, martensitic phase transformations activated by plastic straining are considered as one of the most effective pathways to promote strength while preserving desirable ductility. The resultant transformation-induced plasticity …
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Atomistic Insights into Alloy Solidification using Machine-Learning Potentials
Alloy solidification is a critical process in materials design and manufacturing, as it governs the formation of microstructures that determines the mechanical, thermal, and chemical properties of materials. However, direct in situ observation remains extremely challenging due the need for high …
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Machine-Learning Assisted Atomic Simulations of Defect Dynamics in Multicomponent Concentrated Alloys
… behaviors in concentrated solid solution alloys (CSAs) including high-entropy alloys (HEAs), which are critical for understanding their exceptional mechanical and radiation-resistant properties. Through a combination of multiple atomistic-level simulation techniques and novel machine …
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PERITECTIC BEHAVIOR DETECTION AND PREDICTION IN Fe-C-Si-Mn-Al SYSTEM
… to predict and avoid peritectic behavior at the alloy design stage is important from an academic and industrial standpoint as it helps shorten implantation cycle time to produce new advanced high strength steels. In the present dissertation, an improved method for predicting the composition …
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Stochastic methods for improving secondary production decisions under compositional uncertainty
… 1) blending decisions in manufacturing, and 2) alloy design decisions in product development. The usage of recycled aluminum in alloy blends is greatly hindered by variation in the raw material composition. Currently, to accommodate compositional variation, firms commonly set production targets …
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