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Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing

Joshi, Anay
http://rave.ohiolink.edu/etdc/view?acc_num=ucin151091601846356

Abstract Details

2017, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
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.
Sam Anand, Ph.D. (Committee Chair)
Michael Alexander-Ramos, Ph.D. (Committee Member)
Ashley Paz y Puente, Ph.D. (Committee Member)
61 p.
Mechanics
Hybrid Manufacturing; Additive Manufacturing; Design for Manufacturing; Decision Making; Redesign; Geometric Complexity

Recommended Citations

Citations

  • Joshi, A. (2017). Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin151091601846356

    APA Style (7th edition)

  • Joshi, Anay. Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing. 2017. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin151091601846356.

    MLA Style (8th edition)

  • Joshi, Anay. "Geometric Complexity based Process Selection and Redesign for Hybrid Additive Manufacturing." Master's thesis, University of Cincinnati, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin151091601846356

    Chicago Manual of Style (17th edition)

ucin151091601846356
364
© 2017, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.