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Academic Partnership

Certified Research Partner University of Jordan

PRINTie 3D is the official industry partner of the DTMBA (Digital Transformation, Manufacturing & Biomedical Applications) research group at the University of Jordan, Department of Industrial Engineering — in a research project funded by the Royal Academy of Engineering (UK).

Funded by the Royal Academy of Engineering (UK) · Transforming Systems through Partnership Programme
The Research Partnership

A Truly International Collaboration

This project brought together academia, industry, and government funding across Jordan and the United Kingdom to achieve a first for Jordan.

Lead Academic Institution

University of Jordan

DTMBA Research Group

Department of Industrial Engineering — led by Dr. Wafa H. AlAlaween, Associate Professor (PhD, University of Sheffield, UK, 2018).

Jordan
DTMBA Research Group
International Academic Partner

University of Sheffield

United Kingdom

Professor Mahdi Mahfouf — international co-investigator, bringing global expertise in computational intelligence and manufacturing systems.

United Kingdom
Research Funder

Royal Academy of Engineering

Engineering X

Funded under the Transforming Systems through Partnership (TSP) programme, backed by UK Government ODA funding (DSIT) and the Industrial R&D Fund in Jordan.

United Kingdom
Official Industry Partner

PRINTie 3D

Alsoussi Technologies

Ahmad Al Soussi, founder and CEO — named industry partner in the Royal Academy of Engineering official case study.

Jordan
The Research Project

Right-First-Time Fused Deposition for Healthcare Manufacturing

Funded by the Royal Academy of Engineering (UK) — Transforming Systems through Partnership

The goal of this research was to produce, for the first time in Jordan, patient-specific medical implants and surgical tools using PEEK (Polyether Ether Ketone) — a high-performance, medical-grade thermoplastic — using FDM (Fused Deposition Modelling) 3D printing.

The team developed AI and fuzzy logic prediction models to optimise FDM printing parameters for 'right-first-time' manufacturing — meaning products print correctly on the first attempt, eliminating costly trial-and-error cycles critical in medical manufacturing.

The research brought together industrial engineering, medicine, dentistry, and AI/computational intelligence in a multidisciplinary team spanning Jordan and the United Kingdom.

Verified Impact

Real Patients. Real Results.

These outcomes are verified through the Royal Academy of Engineering official case study and peer-reviewed academic publications.

10%
Cost vs European implants

Medical implants produced at 10% the cost of equivalent European-manufactured implants

2+
Academic papers published

Peer-reviewed publications at international conferences and journals

3
Countries collaborating

Jordan, United Kingdom, and international research institutions

1st
In Jordan

First-ever 3D-printed patient-specific medical implants produced in Jordan

Implants successfully implanted in patients with hemifacial microsomia and skull lacerations — significantly reducing treatment costs for Jordanian patients and refugees.

Voices from the Research

What the Researchers Say

When you can see that you helped a 21-year-old patient, it's something really changing… My knowledge, my experience, whatever I learned during my life, [is used] to help these patients. It's really something different. I've never done something like this before.

Dr. Wafa H. AlAlaween
Associate Professor, University of Jordan · Research Lead

We've been able to carry out the project successfully with such a multidisciplinary team and with funding from the Royal Academy for which we are thankful of course, because they allowed the team to come together from both sides of the world and assemble a synergetic team.

Professor Mahdi Mahfouf
University of Sheffield, UK · International Partner
Academic Output

Research Publications

Findings from this collaboration have been published in international peer-reviewed journals and presented at academic conferences.

Fuzzy logic-based FDM simulation and optimisation for medical-grade PEEK

Journal of Intelligent and Fuzzy Systems

Right-first-time additive manufacturing for patient-specific implants

Results in Engineering

Computational intelligence for FDM parameter optimisation in healthcare manufacturing

Advances in Fuzzy Systems (Wiley)

Research additionally funded by: King Abdullah II Fund for Development (KAFD) and Jordan Design and Development Bureau (JODDB).

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We welcome partnerships with research institutions, universities, hospitals, and government bodies seeking an industry partner in Jordan's additive manufacturing sector.

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