Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing
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University of Cincinnati / OhioLINK
2017
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ndltd-OhioLink-oai-etd.ohiolink.edu-ucin1510916018463562021-08-03T07:04:34Z Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing Joshi, Anay Mechanics Hybrid Manufacturing Additive Manufacturing Design for Manufacturing Decision Making Redesign Geometric Complexity Hybrid Manufacturing (HM), which combines Additive Manufacturing (AM) and Subtractive Manufacturing (SM) operations in a single machine is gaining popularity among engineers because of its capability of leveraging the advantages of both processes. As a result, a product with complex geometries and organic designs can be manufactured with the desired surface quality with minimum fabrication setup. However, there is a need for selecting the correct manufacturing method for a given product and developing the optimum process plan. This research presents a novel approach for decision making between AM, SM and HM, along with an optimum component division methodology for HM. The proposed process plan selects the correct manufacturing method based on minimum geometric complexities, material and time. A novel metric, called complexity score, has been developed for quantifying the component’s geometric complexities which includes various parameters based on Design for Manufacturing rules for AM, SM and HM processes. Intermediate `Redesign’ steps have also been introduced in the process plan to facilitate dynamic design changes and further enhance manufacturability. The proposed methodology will be useful for detecting potential manufacturing difficulties before the actual fabrication of a product. Four case studies representing different manufacturing processes and DFHM are presented for validating the practical application of the research. 2017 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin151091601846356 http://rave.ohiolink.edu/etdc/view?acc_num=ucin151091601846356 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Mechanics Hybrid Manufacturing Additive Manufacturing Design for Manufacturing Decision Making Redesign Geometric Complexity |
| spellingShingle |
Mechanics Hybrid Manufacturing Additive Manufacturing Design for Manufacturing Decision Making Redesign Geometric Complexity Joshi, Anay Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing |
| author |
Joshi, Anay |
| author_facet |
Joshi, Anay |
| author_sort |
Joshi, Anay |
| title |
Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing |
| title_short |
Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing |
| title_full |
Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing |
| title_fullStr |
Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing |
| title_full_unstemmed |
Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing |
| title_sort |
geometric complexity based process selection and redesign for hybrid additive manufacturing |
| publisher |
University of Cincinnati / OhioLINK |
| publishDate |
2017 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=ucin151091601846356 |
| work_keys_str_mv |
AT joshianay geometriccomplexitybasedprocessselectionandredesignforhybridadditivemanufacturing |
| _version_ |
1719453200984047616 |