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Celik, et al.                                       the physical prototype of the face shield, an AM



                    Candidate 5  Weighted   Grade*  grade  0.75  5  1  5  0.4  4  0.15  3  0.4  4  0.8  4  0.2  4  0.2  4  3.9  1  √  approach was utilized in this study; however, the
                                                               critical  point here is that  DfAM  is a challenge
                                                               for most designers as the convenient  design
                                                               methods that consider the unique capabilities of
                                                               AM technologies are needed. Depending on the
                                                               capabilities of the AM technology being utilized,

                                                               method  whereby  functional  performance  and/or
                    Candidate 4  Weighted   grade  0.75  1  0.4  0.15  0.4  0.6  0.2  0.2  3.7  5  -  DfAM  can  be  described  as  a  type  of  design
                                                               other  key  product  lifecycle  considerations  such
                                                               as manufacturability, reliability, and cost can be
                       Grade*
                                                               optimized . In this regard, a useful worksheet/
                                                                        [25]
                                         3
                                            4
                                              4
                                       4
                               5
                             5
                                    3
                                  4
                                                               application guide designed for novices to AM was
                                                               published by Booth et al. (2017) . In using the
                                                                                               [26]
                                                               DfAM method, some important  approaches  are
                    Candidate 3  Weighted   Grade*  grade  0.45  3  1  5  0.4  4  0.2  4  0.4  4  0.6  3  0.2  4  0.2  4  3.45  4  -  in  macroscale,  mesoscale  or microscale  design
                                                               studies:  Structural  optimization  approach  (i.e.,
                                                               size, shape, and topological) and manufacturability
                                                               related  to  AM technology type,  AM machine,
                                                               material, build orientation, surface quality needs,
                                                                 The production of the prototype was realized
                    Candidate 2  Weighted   Grade*  grade  0.45  3  0.6  3  0.4  4  0.2  4  0.3  3  0.6  3  0.2  4  0.2  4  2.95  3  -  production time, etc.
                                                               using an OEM - FDM machine with a production
                                                               volume capacity of 200 mm × 220 mm × 220 mm,
                                                               nozzle  diameter  of  0.4  mm  at  210°C  nozzle
                                                               temperature.  The  production  material  was  PLA
                                                               thermoplastic with a filament diameter of 1.75 mm.
                 Table 6. Analysis of the alternative designs for a face shield.

                                                               face  shield  product  handled  in  this  study  were
                    Candidate 1  Weighted   grade  0.3  0.4  0.4  0.2  0.2  0.4  0.15  0.2  2.25  2  -  Solid modeling and AM setup procedures for the
                                                               conducted  under  consideration  of  these  key
                                                               approaches  related  to  the  DfAM  methodology.
                       Grade*  2  2  4  4  2  2  3  4          To  obtain  time  efficiency  (short  production),
                                                               optimally  designed (geometry and topology),
                                                        *Grading scale: 1 – least important; 5 – most important
                                                               and  a  functionally  readytouse  prototype  with
                    Weight   (%)  15  20  10  5  10  20  5  5  satisfying surface quality, production trials were
                                                               made  on  STL  conversion  quality  (geometrical
                                                               parameters) and production layer heights during
                                                               AM  operations.  The  trials  showed  that  despite
                                                               the rearrangements, more precise (use of smaller
                                                               triangles) STL conversion parameters and shorter
                    Analysis criteria  Functional characteristics  Life span  Re-usage  Complexity  DfAM characteristics  Ergonomics  Environmental effect  production layer heights gave a smoother surface
                                                               quality, the fine level of STL conversion (deviation
                                                               tolerance:  0.099  mm,  angle  tolerance:  10°,  and
                                                               number of triangles: 16,736) and the layer height

                                                               of  the  physical  prototype  when  considering  the
                    No.      Cost  1  2  3  4  5  6  7  8  Total score  Rank  Selected model  of  0.25  provided  satisfactory  results  in  the  use
                                                               time efficiency approach (approximately 35 min

                                       International Journal of Bioprinting (2020)–Volume 6, Issue 4        43
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