Application of 3D Printing in Separation Science: Manufacturing and Modelling

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 7208

Special Issue Editors


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Guest Editor
Department of Chemical Engineering, Centre for Advanced Separations Engineering, University of Bath, Bath BA2 7AY, UK
Interests: 3D printing; membrane separations; chemical absorption; modelling and simulation of separation processes

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Guest Editor
School of Environmental Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: covalent/metal organic framework membrane; polymeric membrane; ion separation membrane; nanofiltration; resources recovery by membrane separation; scale up of high-performance membrane
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Special Issue Information

Dear Colleagues,

Additive manufacturing (AM), also known as three dimensional (3D) printing, is considered a new manufacturing revolution which can enable cutting-edge research in the field of separation science due to its ability to fabricate objects with complicated structures in a single-step process. The constantly improving print resolution and increasing variety of available printing materials ensure the printing of highly customized separation devices and materials with complex structures, which would be extremely challenging to achieve using traditional manufacturing techniques. Devices and materials applied in separation science such as membranes, trays or packings, sorbents, and modules have internal structures, which include cavities, channels, and pores, as well as superficial structures like patterns. These structures play a critical role in achieving high separation performance. However, there is a challenge in designing and fabricating these complicated structures due to the inefficiencies of the available manufacturing processes. They are unable to ensure excellent precision of dimensions of the internal or superficial structures of separation devices and materials, thus limiting the achievement of excellent separation properties. 3D printing could play a key role in separation systems because it can control the fundamental properties of separation devices and materials such as thickness, pore size, roughness, and surface patterns. Moreover, 3D printing can also control architectural variables of separation devices and materials (e.g., shape, arrangement, channels, and pores), which are almost impossible to achieve with conventional fabrication methods. 

This Special Issue focuses on the latest advancements of 3D printing in the fabrication and development of separation devices and materials. Topics include, but are not limited to:

  • 3D-printed membrane-based devices and materials
  • 3D-printed modules in separation systems
  • 3D-printed selective sorbents
  • 3D-printed solid-phase extraction preconcentrator 
  • 3D-printed flow injection analysis systems
  • Modelling and simulation of 3D-printed separation devices

Dr. Saeed Mazinani
Dr. Shushan Yuan
Guest Editors

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Keywords

  • 3D printing
  • Additive manufacturing
  • Rapid prototyping
  • 3D-printed separation devices
  • Separations
  • Membranes
  • Sorbents

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Published Papers (1 paper)

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Research

25 pages, 7482 KiB  
Article
System Dynamics Modeling in Additive Manufacturing Supply Chain Management
by Jairo Nuñez Rodriguez, Hugo Hernando Andrade Sosa, Sylvia Maria Villarreal Archila and Angel Ortiz
Processes 2021, 9(6), 982; https://doi.org/10.3390/pr9060982 - 2 Jun 2021
Cited by 10 | Viewed by 6313
Abstract
A system dynamics model was developed with the primary purpose of visualizing the behavior of a supply chain (SC) when it adopts a disruptive technology such as additive manufacturing (AM). The model proposed a dynamic hypothesis that defines the following issue: what is [...] Read more.
A system dynamics model was developed with the primary purpose of visualizing the behavior of a supply chain (SC) when it adopts a disruptive technology such as additive manufacturing (AM). The model proposed a dynamic hypothesis that defines the following issue: what is the impact of the AM characteristics and processes in the SC? The model was represented through a causal diagram in thirteen variables related to the SC, organized in two feedback cycles and a data flow diagram, based mainly on the three-essential links of the SC and the order display traceability: supplier–focal manufacturer–distribution Network. Once proposed, the model was validated through the evaluation of extreme conditions and sensitivity analysis. As a result, the dynamic behavior of the variables that condition the chain management was analyzed, evidencing reduction times in production, especially in products that require greater complexity and detail, as well as reductions in inventories and the amount of raw material due to production and storing practices from AM. This model is the starting point for alternative supply chain scenarios through structural operating policies and operating policies in terms of process management. Full article
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