المؤلفون: Tasnim, Farzana, Grose, Joshua, Sheu, Nathan F., Dingreville, Remi, Cullinan, Michael

مصطلحات موضوعية: Micro-Selective Laser Sintering µSLS, Transfer learning, Scanning Electron Microscope SEM images, Process parameter prediction, Microstructure analysis

الاتاحة: https://dx.doi.org/10.26153/tsw/58145
https://repositories.lib.utexas.edu/handle/2152/130797

المؤلفون: Camden A. Chatham, Michael J. Bortner, Blake N. Johnson, Timothy E. Long, Christopher B. Williams

المصدر: Materials & Design, Vol 201, Iss , Pp 109474- (2021)

مصطلحات موضوعية: Additive manufacturing, Powder bed fusion, Selective laser sintering, Polymer coalescence, Process parameter prediction, Physical gelation, Materials of engineering and construction. Mechanics of materials, TA401-492

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0264127521000277; https://doaj.org/toc/0264-1275

URL الوصول: https://doaj.org/article/2d449858514a437fba2cb38731a7b3af

المؤلفون: Blake N. Johnson, Michael J. Bortner, Camden A. Chatham, Timothy Edward Long, Christopher B. Williams

المصدر: Materials & Design, Vol 201, Iss, Pp 109474-(2021)

مصطلحات موضوعية: Physical gelation, Work (thermodynamics), Materials science, Additive manufacturing, Nuclear engineering, 02 engineering and technology, Process variable, 010402 general chemistry, Plateau (mathematics), 01 natural sciences, Polymer coalescence, law.invention, law, Powder bed fusion, Thermal, Ultimate tensile strength, lcsh:TA401-492, General Materials Science, Composite material, Coalescence (physics), chemistry.chemical_classification, Mechanical property, Fusion, Mechanical Engineering, Polymer, 021001 nanoscience & nanotechnology, Laser, 0104 chemical sciences, Process parameter prediction, Selective laser sintering, chemistry, Mechanics of Materials, Powder bed, lcsh:Materials of engineering and construction. Mechanics of materials, 0210 nano-technology

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e4c548468552d23e895dc5ecbddbc42
https://doi.org/10.2139/ssrn.3805240

المؤلفون: Frye, Maik, Gyulai, David, Bergmann, Julia, Schmitt, Robert H.

مصطلحات موضوعية: Artificial intelligence, Machine learning, Data analytics, Adaptive scheduling, Process parameter prediction, Process optimization, Job shop scheduling

Time: 658, 670

Relation: MM Science journal; Centre of Excellence in Production Informatics and Control; 739592; https://publica.fraunhofer.de/handle/publica/261846

الاتاحة: https://publica.fraunhofer.de/handle/publica/261846
https://doi.org/10.17973/MMSJ.2019_11_2019051

المؤلفون: Maik Frye, Júlia Bergmann, Robert Schmitt, Dávid Gyulai

المساهمون: Publica

المصدر: MM Science Journal

مصطلحات موضوعية: Artificial intelligence, 0209 industrial biotechnology, business.industry, Computer science, Mechanical Engineering, Scheduling (production processes), QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány, 02 engineering and technology, Process variable, Job shop scheduling, Industrial and Manufacturing Engineering, Process parameter prediction, 020303 mechanical engineering & transports, 020901 industrial engineering & automation, 0203 mechanical engineering, Data analytics, Machine learning, Automotive Engineering, Adaptive scheduling, Electrical and Electronic Engineering, business, Process optimization

وصف الملف: text

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbff9cb78c43a386465bc906570becdb
https://eprints.sztaki.hu/10020/

المؤلفون: Chatham, Camden A., Bortner, Michael J., Johnson, Blake N., Long, Timothy E., Williams, Christopher B.

مصطلحات الفهرس: Additive manufacturing, Powder bed fusion, Selective laser sintering, Polymer coalescence, Process parameter prediction, Physical gelation, Article - Refereed

URL: http://hdl.handle.net/10919/102972