AMBER Lab’s Post

Another recent article with my Chinese colleagues, this time on creating oleogels using food-grade emulsion gels as a template. These oleo gels may be used for 3D food printing applications or as solid fat substitutes: "Construction of oleogels based on emulsion gels stabilized by glycyrrhizic acid and chitosan" Link (Free for 50 days): https://lnkd.in/eRhswZf2

A discussion we often have: When to impregnate the metal in a 3D-printed catalyst: before, during or after printing? Our research in the GLAMOUR Horizon 2020 project showed that for FT synthesis post-impregnation of Co on Al2O3 gives the best results. Want to know more: https://lnkd.in/dfDtKgPf

Check out our new paper focusing on the spatial variation of the physical, mechanical, and thermophysical properties of 3D printed concrete (3DPC) across a full-scale wall. https://lnkd.in/dgU4FkK2 3DPC is a layered anisotropic material whose properties are significantly impacted by the production parameters. To design and analyze large-scale printed structures, it is vital to understand the spatial variation of material properties throughout full-scale printed components. Presented study addresses this need by presenting a comprehensive experimental investigation that explores the variation of physical, mechanical, and thermophysical properties across a full-scale 3DPC wall with an approximate height of 2.36 m. The cores extracted from the wall were categorized in terms of the extraction location along the wall height and the alignment of the specimen’s longitudinal axis with respect to the printing space (printing (P), translation (T), and deposition (D) direction). Additionally, direct shear and four-point bending tests were carried out on printed beams. Control samples, mold-cast from the same concrete mix, were used for comparison. Obtained results indicated a pronounced anisotropy and property variation along the 3DPC wall height. These were linked not only to the frequency and orientation but also to the porosity of the interfaces which was significantly influenced by the self-weight compaction of the layers and the progressively increasing concrete viscosity caused by pump system heating over time. ODTÜ İnşaat Mühendisliği Bölümü Alper Tunga Bayrak, Nefize Shaban, Sepehr Seyedian (Karadağlı), Erman Tunçer, Shih-Hsien (Sam) Yang, Halit Dilşad Yılmaz, Abdallah Zaid Alkilani, Hüsnü Dal, CISE UNLUER, Ipek Gursel Dino, Emre Örtemiz, Afşin Sarıtaş #3Dprintedconcrete #Computedtomography #Anisotropy #Thermal_conductivity #Mechanical_performance #Durability #Water_penetration #Rate_of_water_absorption #Elastic_modulus #Poisson’s_ratio

Thrilled to see my first research paper published! 🎉 This is just the beginning of my journey in contributing to the field of 3D printed concrete. Stay tuned for more exciting discoveries and publications ahead! #3Dprintedconcrete #3DPC #3DCP #Computedtomography #Anisotropy #Thermal_conductivity #Mechanical_performance #Durability #Water_penetration #Rate_of_water_absorption #Elastic_modulus #Poissons_ratio

Attention Is All You Need (But Convolution Helps!) In our recently published paper, we developed a pairing strategy that exploits the complimentary performance of convolutional and attention-based models. End result? 93% accuracy on a foreign, class-imbalanced dataset. The proposed tool, MicroSegQ+, is made available to the industry, where experts can now quantify their images within one minute — traditional methods would have taken up to two hours... per image! Special thanks to Mutahar SAFDAR, Yifan Li, and Professor Fiona Zhao. Being surrounded by such brilliant people made my first research experience a very memorable one. Thanks to the Additive Design and Manufacturing Laboratory for being a hub of innovation, in both AM and AI. And thanks to all the co-authors for the data, the resources, as well as their expertise. Datasets are publicly released on Hugging Face. Please contact one of the authors directly for accessibility to the MicroSegQ+ tool, and for any other recommendation. Article: https://lnkd.in/ev6hNdkz

Here is the shared link for our recent research article on "Process-Material-Performance Trade-off Exploration of Materials Sintering with Machine Learning Models" published in Integrating Materials and Manufacturing Innovation Journal.

Progress in Additive Manufacturing, Springer journal (ESCI/Scopus indexed, Impact Factor: 4.4) invites manuscripts in the form of a research/technical paper (2000–4000 words), a short communication (2 pages/1000 words), or a review article. The journal welcomes manuscripts on several AM topics, including: • Design tools and data format • Material aspects and new developments • Multi-material and composites • Microstructure evolution of AM parts • Optimization of existing processes • Development of new techniques and processing strategies (combination subtractive and additive methods, hybrid processes) • Integration with conventional manufacturing techniques • Innovative applications of AM parts (for tooling, high temperature or high performance applications) • Process monitoring and non-destructive testing of AM parts • Speed-up strategies for AM processes • New test methods and special features of AM parts Link to the journal website: https://lnkd.in/gEYkwVrT Submission guidelines: https://lnkd.in/ggP63BZB

https://lnkd.in/ekk4dAqq An interesting article and lots to do here. We are getting there but in small steps. Some recent interesting discussions re AI and now need to make some changes to develop some systems for real life application. #mcbains #thefuture

🚨🚨My latest Law360 column on impacts to the #construction industry with my Cozen O'Connor colleague Jeff Mullen is out! You can read all about how AI is changing the landscape of the industry here: https://lnkd.in/e8iBjHXr #AI #3Dprinting #lawyer #news

In this episode of What’s Trending Now, NAPCO Research Analysts Lisa Cross and Cory Francer discuss the findings from the group’s report, “Artificial Intelligence in the Printing Industry: The Journey Begins.” Specifically exploring how printers have used and are using AI in print production currently as well as AI’s future potential. https://lnkd.in/eJ642bAx