Publication: Computer Aided Process Planning for Generating Additive Manufacturing Products using 3D Printing and 5D Printing
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Date
2024-07-01
Authors
Siti Nur Nazmi Azyyati Binti Hairul Nizam
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Abstract
Additive manufacturing, or 3D printing, has impacted the manufacturing sector by allowing the creation of intricate shapes with reduced waste. With ongoing technological progress, 5D printing has emerged, providing enhanced precision and efficiency. The objective of this research is to develop a sophisticated algorithm to decide if a product should be produced using either 3D printing or 5D printing and to connect this decision-making process with CAD/CAM systems to enhance automation. The main goal of this project is to create an automated system that integrates with CAD/CAM software, specifically SolidWorks 2023, in order to enhance manufacturing processes. The developed algorithm is embedded within a comprehensive macro that includes user forms for data input and detailed cost analysis modules. These features are intended to assist in making informed choices about the best printing method, hence optimizing the production process. The technology is further integrated with Ultimaker Cura to enable flawless operation. The methodology focuses on developing simple user interfaces to facilitate data collecting and conducting in-depth cost evaluations to help decision-making. By automating the choice between 3D and 5D printing, the system improves production efficiency, reduces material usage, and lowers energy consumption, all of which contribute to more sustainable manufacturing methods. The results show that integrating the algorithm with CAD/CAM systems considerably improves printing automation. This integration not only optimizes material and energy resources, but it also simplifies the entire production process, making it more efficient and sustainable. In conclusion, this study shows a solid framework for automating decision-making in additive manufacturing. Future research will seek to broaden the algorithm's capabilities to fully enable 5D printing, including advances in artificial intelligence, the Internet of Things (IoT), and novel materials to improve manufacturing efficiency and sustainability.