2018 Joint 7th International Conference on Informatics, Electronics &Amp; Vision (ICIEV) and 2018 2nd International Conference 2018
DOI: 10.1109/iciev.2018.8641073
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Mechanical Property Prediction Method Based on Multi-material 3D Printer

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Cited by 3 publications
(4 citation statements)
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“…The material properties of the ABS and PLA were also obtained. Yerbolat et al (2018a, 2018b) presented the latest results on the material optimization and mechanical property prediction applying modeling and simulation techniques on ANSYS (Yerbolat et al , 2018a, 2018b; Ali et al , 2018; Gibson and Shi, 1997).…”
Section: Discussion: Materials Prediction and Optimizationmentioning
confidence: 99%
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“…The material properties of the ABS and PLA were also obtained. Yerbolat et al (2018a, 2018b) presented the latest results on the material optimization and mechanical property prediction applying modeling and simulation techniques on ANSYS (Yerbolat et al , 2018a, 2018b; Ali et al , 2018; Gibson and Shi, 1997).…”
Section: Discussion: Materials Prediction and Optimizationmentioning
confidence: 99%
“…This process causes the powders to sinter together layer by layer and form a 3D model. This type of technology was developed in the 1980s by Carl Deckard (Yerbolat et al , 2018a, 2018b). In 1989, he founded the additive manufacturing company “Desk Top Manufacturing”.…”
Section: The Materials and Methodsmentioning
confidence: 99%
“…Nowadays, there is great progress in 3D printing technologies, both in the 3D printers themselves and in the materials from which the final object is printed. Threedimensional printing is the process of creating a three-dimensional fixed object from a digital file, where the resulting printed object is gradually created by laying (printing) continuous layers of material until the entire object is completed [1][2][3]. This technology is rapidly developing along with today's demands of end users.…”
Section: Introductionmentioning
confidence: 99%
“…15 Multiple possible combinations of the manufacturing parameters briefly discussed above make it very difficult for the strength to be estimated in conventional ways which are based on building empirical relations and material models. 18 These models and relationships rely on previous knowledge and a large quantity of costly and time-consuming experiments. At the same time, they become less flexible and more complex due to a large number of aforementioned possible combinations of manufacturing parameters.…”
mentioning
confidence: 99%