Publication: Automatic additive manufacturing product generation for 5d printing through computer aided process planning
| datacite.subject.fos | oecd::Engineering and technology::Mechanical engineering | |
| dc.contributor.author | Muhammad Asyraf Bin Abdul Jalil | |
| dc.date.accessioned | 2026-01-14T03:57:13Z | |
| dc.date.available | 2026-01-14T03:57:13Z | |
| dc.date.issued | 2023-07-01 | |
| dc.description.abstract | Additive Manufacturing (AM) has gained significant traction across various industries, including engineering, medicine, dentistry, aerospace, and related fields. This literature review aims to explore the existing 3D and 4D printing technologies, as well as their inherent limitations. Furthermore, it examines the benefits offered by 4D and 5D printing in terms of material and resource management, along with the capacity to fabricate intricate shapes and structures. The review primarily emphasizes the application of 3D printing technology in addressing complex medical challenges such as surgical instruments, bioengineered products, medical implants, and surgical guides. By leveraging this technology, healthcare professionals can enhance patient outcomes and treatment efficacy through customized and patient-specific solutions. Moreover, the study proposes an innovative 5-axis dynamic slicing algorithm designed to enable non-supporting material printing (NSMP). This algorithm represents a significant advancement, as it tackles a prevalent limitation in conventional 3D printer technology, thereby broadening the scope of feasible designs and reducing material waste. By shedding light on the constraints of traditional 3D printing techniques and presenting a viable approach to overcome these issues, this research provides valuable insights. These insights have the potential to drive further advancements in additive manufacturing, enabling its continued evolution and widespread adoption in various industries. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/23425 | |
| dc.language.iso | en | |
| dc.title | Automatic additive manufacturing product generation for 5d printing through computer aided process planning | |
| dc.type | Resource Types::text::report::research report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Muhammad Asyraf Bin Abdul Jalil |