Abstract
Technological and material issues in 3D printing technologies should take into account sustainable development, use of materials, energy, emitted particles, and waste. The aim of this paper is to investigate whether the sustainability of 3D printing processes can be supported by computational intelligence (CI) and artificial intelligence (AI) based solutions. We present a new AI-based software to evaluate the amount of pollution generated by 3D printing systems. We input the values: printing technology, material, print weight, etc., and the expected results (risk assessment) and determine if and what precautions should be taken. The study uses a self-learning program that will improve as more data are entered. This program does not replace but complements previously used 3D printing metrics and software.
Highlights
The ability to handle advanced technologies requires increased attention to education, shaping the technological awareness of the public, and a high level of organizational capacity to manage such emerging complexity
The aim of this paper is to investigate whether the sustainability of 3D printing processes can be supported by computational intelligence (CI)- and artificial intelligence (AI)-based solutions
The best results for ANN2 were achieved for n = 9, m = 6, and 35 neurons in the hidden hidden layer (i.e., multilayer perceptron (MLP) 9-35-6), but we found that other ANN2 structures were layer (i.e., MLP 9-35-6), but we found that other ANN2 structures were effective, such as MLP 9-18-6, MLP 9-27-6, and MLP 9-45-6 (Table 4)
Summary
The ability to handle advanced technologies requires increased attention to education, shaping the technological awareness of the public, and a high level of organizational capacity to manage such emerging complexity. Sustainability within three-dimensional (3D) printing technology ( known as additive manufacturing) should consider the use of materials, energy, emitted particles, and waste. The lower prices of 3D printers (even under $100) and materials make these devices and related technologies accessible and useful to many people. Various authors have mentioned that the possibilities of digital fabrication [1,2] are enhanced by a widespread use of technology. It can be predicted that many people will use this technology, generating a lot of waste in the near future. The novel problems of 3D printer energy consumption, improperly disposed or recycled materials, and harmful emission rates require urgent diagnosis, monitoring, and effective solutions. Environmental pollution of plastic waste is a serious problem due to its non-degradability [3,4,5]
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