Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/19311
Title: PREDICTIVE ANALYSIS OF FUSED DEPOSITION MODELLING OF PLA MATERIAL THROUGH MACHINE LEARNING
Authors: BISHT, HARDIK
Keywords: PREDICTIVE ANALYSIS
FUSED DEPOSITION
PLA MATERIAL
MACHINE LEARNING
Issue Date: May-2022
Series/Report no.: TD-5866;
Abstract: ADDITIVE. MANUFACTURING (AM) OR 3D Printing, the inception of the concept started very early in 1950s where material is fed and it come out through heated nozzle and solid and hardened according the need of design but in 2000s it started to rise with fast pace as the patent of FDM expire in 2009 and various technique get mature and with time the it get more affordable that now nit only it use in prototyping but also replace some part in finished product. It is an enhanced manufacturing technology that has given the manufacturing industry a new perspective. In contrast to subtractive manufacturing methods, AM refers to a group manufacturing process that fabricates parts and products by adding layer by layer. Computer systems, 3D modelling software (Computer Aided Design), and slicing software are used in this type of manufacturing process. New products, prototyped models, pre-surgical models, and conceptual models all benefited from AM technology. This technique is being used in a variety of technical and manufacturing areas, including aviation, fashion industry, medical implants, and automotive items. With increased global competitiveness, designers and production engineers must produce items faster than ever before to meet client demands and maintain a competitive advantage. Because no tooling is required, the AM process is a cost-effective way to manufacture complex geometries and reduce development and manufacturing cycle time. Lot of companies now working on it to make it more cost effective either in process basis or product basis and other aspect is to use new metal in 3d printing to make it more competitive when we produce them in conventional method.
URI: http://dspace.dtu.ac.in:8080/jspui/handle/repository/19311
Appears in Collections:M.E./M.Tech. Production Engineering

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