Additive manufacturing (AM) has impacted the manufacturing of complex three-dimensional objects in multiple materials for a wide array of applications. However, additive manufacturing, as an upcoming field, lacks automated and specific design rules for different AM processes. Moreover, the selection of specific AM processes for different geometries requires expert knowledge, which is difficult to replicate. An automated and data-driven system is needed that can capture the AM expert knowledge base and apply it to 3D-printed parts to avoid manufacturability issues. This research aims to develop a data-driven system for AM process selection within the design for additive manufacturing (DFAM) framework for Industry 4.0. A Genetic and Evolutionary Feature Weighting technique was optimized using 3D CAD data as an input to identify the optimal AM technique based on several requirements and constraints. A two-stage model was developed wherein the stage 1 model displayed average accuracies of 70% and the stage 2 model showed higher average accuracies of up to 97.33% based on quantitative feature labeling and augmentation of the datasets. The steady-state genetic algorithm (SSGA) was determined to be the most effective algorithm after benchmarking against estimation of distribution algorithm (EDA) and particle swarm optimization (PSO) algorithms, respectively. The output of this system leads to the identification of optimal AM processes for manufacturing 3D objects. This paper presents an automated design for an additive manufacturing system that is accurate and can be extended to other 3D-printing processes.
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A Comprehensive Review of Additive Manufacturing (3D Printing): Processes, Applications and Future Potential
Additive manufacturing (AM) also known as 3D printing is a technology that builds three-dimensional (3-D) solid objects. Customized 3D objects with complex geometries and integrated functional designs can be created using 3D printing. A comprehensive review of AM process with emphasis on recent advances achieved by various researchers and industries is discussed. Summary of each 3D printing technology capabilities, advantages and limitations is provided. This article reviews significant developments of 3D printing applications in different fields such as electronics, medical industry, aerospace, automobile, construction, fashion and food industry.
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- Award ID(s):
- 1435649
- PAR ID:
- 10124832
- Date Published:
- Journal Name:
- American journal of applied sciences
- Volume:
- 16
- Issue:
- 8
- ISSN:
- 1546-9239
- Page Range / eLocation ID:
- 244-272
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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