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RISS 인기검색어
- 검색키워드
- 저자 : Sadegh Rahmati (검색결과 2 건)
- 무료
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Ebrahim Vahabli,Sadegh Rahmati 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.12
To improve the surface roughness of parts fabricated using fused deposition modeling, modeling of the surface roughness distribution is used before the fabrication process to enable more precise planning of the additive manufacturing process. In this paper, a new methodology based on radial basis function neural networks (RBFNNs) is proposed for estimation of the surface roughness based on experimental results. The effective variables of the RBFNN are optimized using the imperialist competitive algorithm (ICA). The RBFNN-ICA model outperforms considerably comparing to the RBFNN model. A specific test part capable of evaluating the surface roughness distribution for varied surface build angles is built. To demonstrate the advantage of the recommended model, a performance comparison of the most well-known analytical models is carried out. The results of the evaluation confirm the capability of more fitted responses in the proposed modeling. The RBFNN and RBFNN-ICA models have mean absolute percentage error of 7.11% and 3.64%, respectively, and mean squared error of 7.48 and 2.27, respectively. The robustness of the network is studied based on the RBFNN’s effective variables evaluation and sensitivity analysis assessment for the contribution of input parameters. Finally, the comprehensive validity assessments confirm improved results using the recommended modeling.
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Science and Technology of Additive Manufacturing Progress: Processes, Materials, and Applications
Vahid Monfared,Seeram Ramakrishna,Navid Nasajpour‑Esfahani,Davood Toghraie,Maboud Hekmatifar,Sadegh Rahmati 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.12
As a special review article, several significant and applied results in 3D printing and additive manufacturing (AM) scienceand technology are reviewed and studied. Which, the reviewed research works were published in 2020. Then, we wouldhave another review article for 2021 and 2022. The main purpose is to collect new and applied research results as a usefulpackage for researchers. Nowadays, AM is an extremely discussed topic and subject in scientific and industrial societies, aswell as a new vision of the unknown modern world. Also, the future of AM materials is toward fundamental changes. Which,AM would be an ongoing new industrial revolution in the digital world. With parallel methods and similar technologies,considerable developments have been made in 4D in recent years. AM as a tool is related to the 4th industrial revolution. So,AM and 3D printing are moving towards the fifth industrial revolution. In addition, a study on AM is vital for generating thenext developments, which are beneficial for human beings and life. Thus, this article presents the brief, updated, and appliedmethods and results published in 2020.
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