Selection Guide for Additive Manufacturing Processes and Systems

Brampy, Tulip (2013). Selection Guide for Additive Manufacturing Processes and Systems B.Sc Thesis, School of Engineering, The University of Queensland.

       
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Author Brampy, Tulip
Thesis Title Selection Guide for Additive Manufacturing Processes and Systems
School, Centre or Institute School of Engineering
Institution The University of Queensland
Publication date 2013
Thesis type B.Sc Thesis
Supervisor Sara Eastwood
Total pages 117
Language eng
Subjects 0913 Mechanical Engineering
0901 Aerospace Engineering
Formatted abstract
Additive manufacturing (AM) has been gaining a large global following in recent years, owing to its many advantages and wide-ranging applications. AM allows 3D objects to be made using computer-aided design (CAD) through additive processes rather than subtractive processes traditionally employed [ 23]. Thus, inherently reducing material wastage, tooling and lead time whilst opening opportunities for creative and complex designs as restrictions imposed by moulds are eliminated [ 23]. The versatility of AM enables it to be employed in various fields like aerospace, biotechnology and fashion.

However, with greater flexibility comes the challenge for companies to decide on AM processes and systems that can appropriately help them achieve their desired business goals and manufactured product capabilities and specifications. This paper presents a selection guide (AMPS Select) to assist companies in choosing suitable AM processes and systems by weighing end-product and production parameters against each other based on the company's input of their requirements. This is portrayed through graphical feedback and reasoning after each input to a question to show why certain technology options were filtered out from the potential technologies list and thus, reasons for the suitable technology that was derived from the company's inputs. This enables the company to identify trade-offs associated with their choices. A representative database of 31 possible machine-material combinations was included and 8 key parameters were used to derive the best solution(s).

Case studies were also presented which verified the effectiveness of AMPS Select in selecting the best machine-material combination(s) and assisting them in understanding the trade-offs between parameters.
Keyword Additive manufacturing

Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
 
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Created: Wed, 10 Dec 2014, 12:53:56 EST by Ahmed Taha Siddiqui on behalf of Scholarly Communication and Digitisation Service