Multi-Material 3D Printing for Advanced Manufacturing Processes

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

Deadline for manuscript submissions: 30 June 2026 | Viewed by 76

Special Issue Editors


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Guest Editor
School of Engineering and Sciences, Tecnológico de Monterrey, Monterrey 64700, Nuevo León, Mexico
Interests: additive manufacturing; automation of manufacturing systems; advanced manufacturing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Engineering and Sciences, Tecnológico de Monterrey, Monterrey 64700, Nuevo León, Mexico
Interests: microfluidics; biomaterials; biosensors; micromixers; dielectrophoresis

Special Issue Information

Dear Colleagues,

Manufacturing is entering a new era defined by the convergence of artificial intelligence, multi-material additive manufacturing, and computational process design. As digital workflows merge with materials science and adaptive control, fabrication systems are evolving into intelligent, software-defined environments capable of delivering high precision, efficiency, and functional integration. These tools are driving the groundwork for a new generation of products and devices enhanced by emerging technology.

This Special Issue of Processes explores these advances by focusing on multi-material and hybrid manufacturing systems that combine process modeling, AI-driven optimization, and generative design to achieve adaptive and scalable production.

Particular emphasis is placed on nonplanar and adaptive slicing, microfluidic integration, and lattice or gradient structures that enable novel functionalities in mechanical, energy, and biomedical applications.

In the biomedical domain, additive and hybrid processes are redefining how implants, prosthetic components, and lab-on-chip microfluidic devices are designed and manufactured. Intelligent process control, bioinspired architectures, and data-driven optimization enable the development of custom devices with unprecedented resolution, performance, and material fidelity.

This Special Issue aims to showcase contributions that demonstrate how computation, materials, and design converge to produce intelligent, data-enriched manufacturing systems across multiple sectors—from aerospace and energy to biomedical device innovation.

Dr. Erick Guadalupe Ramirez-Cedillo
Dr. José Israel Martínez-López
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent manufacturing
  • multi-material additive manufacturing
  • generative design and topology optimization
  • AI-driven process modeling and control
  • hybrid manufacturing systems
  • nonplanar and adaptive slicing
  • lattice and gradient structures
  • microfluidic device fabrication
  • biomedical and functional devices
  • digital twin and process simulation

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Published Papers

This special issue is now open for submission.
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