Cyber-based design for additive manufacturing using artificial neural networks for Industry 4.0

Elhoone, Hietam; Zhang, Tianyang; Anwar, Mohd; Desai, Salil

doi:10.1080/00207543.2019.1671627

Cited by 80 publications

(34 citation statements)

References 36 publications

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“…Thus, today additive manufacturing represents a real alternative that is applied in very different productive contexts [ 57 , 58 ], what has been driving a great development in terms of increasingly efficient equipment and processes, as well as new materials [ 59 , 60 , 61 ]. Thus, additive manufacturing radically changes the productive paradigm, offering new scenarios and possibilities, both in relation to the agents involved and their roles and in the way in which products are thought and conceived [ 62 , 63 , 64 , 65 , 66 ]. In this sense, it highlights the impact of the low-cost alternatives for additive manufacturing systems, already regularly present in schools, small businesses, and even homes.…”

Section: Initial Considerations and Main Synergies Of The Technolomentioning

confidence: 99%

Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach

2020

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The use of current computer tools in both manufacturing and design stages breaks with the traditional conception of productive process, including successive stages of projection, representation, and manufacturing. Designs can be programmed as problems to be solved by using computational tools based on complex algorithms to optimize and produce more effective solutions. Additive manufacturing technologies enhance these possibilities by providing great geometric freedom to the materialization phase. This work presents a design methodology for the optimization of parts produced by additive manufacturing and explores the synergies between additive manufacturing, parametric design, and optimization processes to guide their integration into the proposed methodology. By using Grasshopper, a visual programming application, a continuous data flow for parts optimization is defined. Parametric design tools support the structural optimization of the general geometry, the infill, and the shell structure to obtain lightweight designs. Thus, the final shapes are obtained as a result of the optimization process which starts from basic geometries, not from an initial design. The infill does not correspond to pre-established patterns, and its elements are sized in a non-uniform manner throughout the piece to respond to different local loads. Mass customization and Fused Deposition Modeling (FDM) systems represent contexts of special potential for this methodology.

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Section: Initial Considerations and Main Synergies Of The Technolomentioning

confidence: 99%

Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach

2020

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“…In the coming decades, AM will fuel the advancement of Industry 4.0 in shaping the future of global industrial market. Industry 4.0 is an adaptive, cognitive and largely self-optimizing factory (Elhoone et al, 2019). Combining AM with Internet-of-Things, cloud computing, robotics and big data will revolutionize all industry sectors.…”

Section: Future Prospectsmentioning

confidence: 99%

A Comprehensive Review of Additive Manufacturing (3D Printing): Processes, Applications and Future Potential

Parupelli¹,

Desai²

2019

American Journal of Applied Sciences

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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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“…They include proton compensators (Trofimov & Bortfeld, 2003), photon compensators (Chang, Cullip, Deschesne, Miller, & Rosenman, 2004) and electron boluses (Hogstrom & Almond, 2006), all designed to optimize the radiation dose distribution in the cancer treatment. For electron beam therapy, customized boluses are commercially available but processing time and cost prevents its widespread application (Dotdecimal, 2019).…”

Section: Introductionmentioning

confidence: 99%

Design and manufacture of a high precision personalized electron bolus device for radiation therapy

2020

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The Centers for Disease Control and Prevention reported that there were more than 1.5 million people in the United States suffering from cancer, and the estimated death toll was about half a million (Murphy, Kochanek, Xu, & Arias, 2015). Globally, the estimated deaths from cancer-related illness have reached about 9.6 million every year (Bray et al., 2018). The growing number of cancer patients indicates the importance of new discoveries and inventions to effectively and safely treat cancer. Radiation therapy is a powerful and effective treatment to treat malign tumours. However, radiation can also damage normal tissues. Thus, optimizing radiation dose, such as electron beam dose, can have important impact on the quality of cancer treatment. The optimization of radiation dose distribution can be accomplished by personalized radiation modulation devices such as compensators for photon beams (Zhu et al., 2015) and bolus for electron beams (Ma et al., 2003). Using high-energy radiation, radiation therapy controls the growth of cancer cells, relieves the symptoms (Baskar, Lee, Yeo, & Yeoh, 2012)

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Cyber-based design for additive manufacturing using artificial neural networks for Industry 4.0

Cited by 80 publications

References 36 publications

Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach

Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach

A Comprehensive Review of Additive Manufacturing (3D Printing): Processes, Applications and Future Potential

Design and manufacture of a high precision personalized electron bolus device for radiation therapy

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