2020
DOI: 10.3390/ma13204641
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Evaluation of Ti–Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process Regression

Abstract: Compositionally graded cylinders of Ti–Mn alloys were produced using the Laser Engineered Net Shaping (LENS™) technique, with Mn content varying from 0 to 12 wt.% along the cylinder axis. The cylinders were subjected to different post-build heat treatments to produce a large sample library of a–b microstructures. The microstructures in the sample library were studied using back-scattered electron (BSE) imaging in a scanning electron microscope (SEM), and their mechanical properties were evaluated using spheric… Show more

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Cited by 18 publications
(8 citation statements)
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“…This mixture forms a compositional gradient in the laser scan plane when the powder bed is deposited. Thus, a horizontal compositional gradient forms rather than the typical vertical gradients achieved in DED combinatorial studies [168][169][170] . Wen et al used CoCrFe medium entropy alloy and Inconel 718 as the feedstock powders to prove this new technique's concept.…”
Section: Functionally Graded Materialsmentioning
confidence: 99%
“…This mixture forms a compositional gradient in the laser scan plane when the powder bed is deposited. Thus, a horizontal compositional gradient forms rather than the typical vertical gradients achieved in DED combinatorial studies [168][169][170] . Wen et al used CoCrFe medium entropy alloy and Inconel 718 as the feedstock powders to prove this new technique's concept.…”
Section: Functionally Graded Materialsmentioning
confidence: 99%
“…As such, one of the great advantages of this method is its rigorous treatment of uncertainty, which helps in avoiding overfitting problems [177]. Its inherent preference to smooth functions is an additional factor that increases its generalization capacity, as fitting artifacts are avoided [176].…”
Section: General Principle Of Some Popular ML Methods In Chemical Product Engineeringmentioning
confidence: 99%
“…Consequently, GPs are employed in numerous applications, in addition to typical regression problems, such as surrogate model identification, dynamic experimental design and manifold learning-based modeling [177][178][179]. On the other hand, a major drawback in the application of GPs is their high computational demands when dealing with large data sets [10,177,180].…”
Section: General Principle Of Some Popular ML Methods In Chemical Product Engineeringmentioning
confidence: 99%
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“…Gong et al [ 2 ] explored the material behavior of additive Ti-Mn samples, produced via the Laser Engineered Net Shaping (LENS™) technique and subsequent post-build heat treatment. In this work, novel cost-effective high-throughput experimental assays have been proposed and the feasibility of employing Gaussian process regression (GPR) for in-depth statistical analysis of these data has been shown.…”
mentioning
confidence: 99%