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	<title>additive manufacturing technologies &#8211; Science</title>
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	<title>additive manufacturing technologies &#8211; Science</title>
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		<title>Sana Elyas Appointed President of SAMPE North America</title>
		<link>https://scienmag.com/sana-elyas-appointed-president-of-sampe-north-america/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Wed, 27 May 2026 20:17:25 +0000</pubDate>
				<category><![CDATA[Bussines]]></category>
		<category><![CDATA[additive manufacturing technologies]]></category>
		<category><![CDATA[advanced composites innovation]]></category>
		<category><![CDATA[AI-driven materials optimization]]></category>
		<category><![CDATA[artificial intelligence in material science]]></category>
		<category><![CDATA[bio-based materials engineering]]></category>
		<category><![CDATA[hybrid material development]]></category>
		<category><![CDATA[Manufacturing Demonstration Facility partnerships]]></category>
		<category><![CDATA[multidisciplinary materials engineering]]></category>
		<category><![CDATA[Oak Ridge National Laboratory advanced manufacturing]]></category>
		<category><![CDATA[predictive analytics for materials]]></category>
		<category><![CDATA[SAMPE North America leadership 2026]]></category>
		<category><![CDATA[Sana Elyas SAMPE president]]></category>
		<guid isPermaLink="false">https://scienmag.com/sana-elyas-appointed-president-of-sampe-north-america/</guid>

					<description><![CDATA[The Society for the Advancement of Material and Process Engineering (SAMPE) North America has officially elected Sana Elyas as the president of its 2026–2027 Executive Cabinet. Elyas, a distinguished technical leader at Oak Ridge National Laboratory (ORNL), is set to begin her term on July 1, 2026, marking a historic step in SAMPE’s leadership trajectory. [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>The Society for the Advancement of Material and Process Engineering (SAMPE) North America has officially elected Sana Elyas as the president of its 2026–2027 Executive Cabinet. Elyas, a distinguished technical leader at Oak Ridge National Laboratory (ORNL), is set to begin her term on July 1, 2026, marking a historic step in SAMPE’s leadership trajectory. With over 17 years of dedicated involvement in the organization, Elyas has ascended through a progressive series of leadership roles, culminating in this prestigious appointment.</p>
<p>Sana Elyas brings a depth of experience and expertise that spans across multidisciplinary domains within advanced manufacturing and materials engineering. At ORNL, she spearheads industrial partnerships in the Manufacturing Demonstration Facility, a hub where government research initiatives, academic innovation, and industrial applications intersect. Her role emphasizes strategic alignment of stakeholders to push the frontier of advanced composites, additive manufacturing, and hybrid material technologies.</p>
<p>Her leadership extends into emerging fields such as bio-based materials and the integration of artificial intelligence into material sciences, a cutting-edge area poised to revolutionize how materials are designed, processed, and optimized. By harnessing AI algorithms, Elyas’s team works on predictive analytics for material properties and performance, enhancing efficiency and accelerating discovery cycles. This forward-looking approach positions SAMPE to address critical challenges in sustainable manufacturing and materials innovation.</p>
<p>The impact of Elyas’s work is underscored by her stewardship of complex, multidisciplinary projects. She oversees partnerships that navigate the intricacies of critical materials research—especially vital given the global focus on securing supply chains for materials essential to energy technologies and national security. These endeavors reflect her ability to foster collaboration between government agencies, industrial partners, and academia, creating a cohesive ecosystem for technological progress.</p>
<p>Her election as SAMPE president is not only a personal milestone but also significant for the broader scientific community. Elyas is notably the first ORNL researcher and the first female from India to hold the presidential role in SAMPE’s rich history, symbolizing a breakthrough in diversity and inclusion within the technical leadership of advanced materials engineering societies.</p>
<p>Yarom Polsky, director of ORNL’s Manufacturing Science Division, lauded Elyas’s capacity to transform advanced manufacturing capabilities into impactful, pragmatic applications. Under her guidance, programs have grown in scope and influence, fostering innovation that spans from conceptual research to industrial-scale production and commercialization.</p>
<p>Elyas’s vision for SAMPE focuses on leveraging its most valuable asset—its people. She advocates for strengthening the organization’s technical excellence while expanding opportunities for collaboration across all levels of membership. Her commitment to growing partnerships and creating enriched engagement platforms aims to invigorate the professional network and facilitate the exchange of ideas necessary for sustained innovation.</p>
<p>Her professional journey encompasses a wide array of roles that integrate project leadership, engineering design, and research in thermoplastic and thermoset composites. This blend of expertise supports industries including aerospace, transportation, energy, and infrastructure—each field demanding sophisticated material solutions to meet evolving performance and sustainability requirements.</p>
<p>Elyas has been particularly active in governance and organizational enhancements within SAMPE’s regional chapters. Her efforts to expand financial oversight, enrich member services, and promote internship and partnership programs have contributed to building a robust community that nurtures both emerging professionals and seasoned experts.</p>
<p>Recognition of her contributions to the field comes through accolades such as the SAMPE 2021 Community Materials &amp; Processes Award and the 2020 Young Professional Emerging Leader Award. These honors reflect her influence and dedication to advancing material science and engineering disciplines.</p>
<p>As the scientific community faces ever-increasing demands for innovative materials and sustainable manufacturing practices, Elyas’s presidency represents a pivotal moment for SAMPE. Her expertise and visionary leadership are poised to guide the organization in addressing pressing global challenges through material and process engineering breakthroughs.</p>
<p>Managed by UT-Battelle for the U.S. Department of Energy’s Office of Science, ORNL remains at the forefront of physical sciences research. The Office of Science’s mission to tackle fundamental scientific questions aligns closely with Elyas’s work, situating SAMPE as a crucial platform for knowledge dissemination and collaboration across research, government, and industry.</p>
<p>Elyas’s upcoming tenure as president will focus on harnessing technological advances, strengthening technical communities, and catalyzing innovation partnerships that accelerate the transition from scientific discovery to impactful applications. Her leadership vision promises to reinforce SAMPE’s position as a beacon for material science professionals worldwide.</p>
<hr />
<p><strong>Subject of Research</strong>: Advanced composites, additive manufacturing, bio-based materials, artificial intelligence in materials science, critical materials for energy technologies, sustainable manufacturing technologies</p>
<p><strong>Article Title</strong>: Sana Elyas Named President of SAMPE North America 2026–2027 Executive Cabinet</p>
<p><strong>News Publication Date</strong>: Not specified in the original content</p>
<p><strong>Web References</strong>: <a href="https://www.energy.gov/science/office-science">https://www.energy.gov/science/office-science</a></p>
<p><strong>Image Credits</strong>: Alonda Hines/ORNL, U.S. Dept. of Energy</p>
<p><strong>Keywords</strong>: Manufacturing, Advanced Composites, Additive Manufacturing, Bio-based Materials, Artificial Intelligence, Critical Materials, Sustainable Manufacturing, Material Science Leadership, Oak Ridge National Laboratory, SAMPE, Materials Innovation</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">161962</post-id>	</item>
		<item>
		<title>3D-Printed Metallic TPMS Lattices: Design to Application</title>
		<link>https://scienmag.com/3d-printed-metallic-tpms-lattices-design-to-application/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Fri, 31 Oct 2025 07:54:38 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[3D-printed metallic TPMS lattices]]></category>
		<category><![CDATA[additive manufacturing technologies]]></category>
		<category><![CDATA[advanced manufacturing applications]]></category>
		<category><![CDATA[computational demands in lattice design]]></category>
		<category><![CDATA[computer-aided design for lattices]]></category>
		<category><![CDATA[fabrication of complex geometries]]></category>
		<category><![CDATA[functional applications of TPMS structures]]></category>
		<category><![CDATA[geometric design challenges]]></category>
		<category><![CDATA[optimization of lattice architectures]]></category>
		<category><![CDATA[technical limitations in 3D printing]]></category>
		<category><![CDATA[transitions from virtual to physical models]]></category>
		<category><![CDATA[triply periodic minimal surface structures]]></category>
		<guid isPermaLink="false">https://scienmag.com/3d-printed-metallic-tpms-lattices-design-to-application/</guid>

					<description><![CDATA[The realm of metallic triply periodic minimal surface (TPMS) lattice structures has been revolutionized by the advent of additive manufacturing technologies. These complex geometries, once deemed nearly impossible to fabricate with traditional methods, have now become feasible due to the precision and flexibility offered by modern 3D printing techniques. However, despite this transformative progress, numerous [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>The realm of metallic triply periodic minimal surface (TPMS) lattice structures has been revolutionized by the advent of additive manufacturing technologies. These complex geometries, once deemed nearly impossible to fabricate with traditional methods, have now become feasible due to the precision and flexibility offered by modern 3D printing techniques. However, despite this transformative progress, numerous technical challenges and limitations continue to constrain their widespread adoption and optimal performance. Understanding these challenges is critical for pushing the boundaries of design, fabrication, and functional application in advanced manufacturing industries.</p>
<p>At the heart of the difficulties lies the geometric design phase. While contemporary computer-aided design (CAD) tools provide opportunities to explore intricate lattice configurations, the freedom is far from absolute, especially for highly complex TPMS structures. Current algorithms predominantly rely on Boolean operations for model construction, which drastically ramp up computational demands. These operations consume excessive processing power and memory, leading to execution bottlenecks and frequent interruptions when attempting to generate elaborate TPMS geometries. This computational overhead restricts rapid design iterations and hinders the timely development of optimized lattice architectures tailored to specific functional requirements.</p>
<p>Once the designs are generated, the transition from virtual models to physical structures presents another set of challenges. Additive manufacturing processes, including laser-powder bed fusion (L-PBF), micro laser powder bed fusion (μLPBF), material extrusion additive manufacturing (MEAM), and binder jetting, each carry inherent limitations that directly affect the quality of fabricated metallic TPMS lattices. For instance, L-PBF methods often leave partially melted or unmelted powder adhering to intricate surfaces, increasing roughness and serving as potential crack initiation points—weakening structural integrity under mechanical stress. Even the more precise μLPBF does not fully overcome powder adhesion issues, posing persistent reliability concerns for load-bearing applications.</p>
<p>MEAM presents a cost-effective alternative adapted for TPMS fabrication but sacrifices dimensional precision and is highly sensitive to process parameters, complicating repeatability and quality control. Binder jetting, while efficient and affordable, suffers from binder infiltration at the boundaries of lattice features, compromising dimensional accuracy and surface finish. Intriguingly, this issue remains resistant to simple scaling adjustments in the print files, limiting the potential to manufacture the ultra-fine geometries and smooth surfaces required for advanced engineering components. These manufacturing-induced imperfections necessitate carefully controlled post-processing strategies that balance improving surface quality against maintaining the delicate lattice integrity.</p>
<p>Beyond manufacturing constraints, the evaluation and optimization of metallic TPMS lattices have predominantly concentrated on uniform structures, neglecting the high potential of graded or heterogeneous arrangements. Mechanical testing frequently relies on compression testing due to its relative simplicity and repeatability, but this singular focus may miss critical insights. Tensile fatigue testing, in contrast, offers a nuanced understanding of structural deformation and fatigue behavior—factors paramount for materials subjected to cyclic loading in real-world applications. Expanding the scope of mechanical analyses to embrace fatigue and other complex testing methods is essential to more comprehensively characterize the multifunctional properties of these innovative lattices.</p>
<p>Heat and mass transfer properties represent another frontier in TPMS research, particularly relevant for applications such as thermal management, filtration, and catalysis. The complex internal topologies associated with heterogeneous and externally contoured TPMS lattices influence fluid flow and thermal conductivity in ways that are not yet fully understood. Investigations into these transport phenomena remain sparse, representing a critical knowledge gap that, when addressed, could unlock new multifunctionality and performance optimization opportunities for metallic TPMS structures in varying industrial sectors.</p>
<p>Design optimization, specifically topology optimization, further complicates the landscape. Although capable of enhancing performance by systematically modifying lattice geometries, topology optimization is computationally intensive and iterative in nature. Current methods often produce two-dimensional density results that lack real-world applicability due to insufficient precision. Real engineering scenarios introduce additional constraints, such as manufacturability limits, that increase computational complexity. Overcoming these challenges requires novel algorithms that provide efficient, highly accurate optimization that respects both the complex nature of TPMS lattices and the practical limitations of additive manufacturing equipment.</p>
<p>The multidisciplinary nature of metallic TPMS lattice design underscores the importance of integrating materials science, mechanical engineering, computational modeling, and thermal-fluid sciences into a cohesive research framework. The necessity of balancing competing performance factors—such as mechanical strength, thermal management, and porosity—demands collaborative approaches that span traditional disciplinary boundaries. By coordinating efforts in design, fabrication, and performance characterization, the creation of functionally optimized TPMS lattices with tailored porosity gradients and material distributions becomes achievable.</p>
<p>Nevertheless, the lack of standardized guidelines and protocols remains a critical bottleneck for the field. Unlike other lattice structures with established standards, metallic TPMS lattices suffer from data inconsistency and incomparable results due to the absence of unified assessment criteria. From the design viewpoint, the community requires standardized parametrization frameworks rooted in topology classification and rating systems, ideally supported by ISO or ASTM standards. On the manufacturing front, defining a consistent printing process window—accounting for geometry variations and machine calibrations—would substantially reduce variability and improve reproducibility.</p>
<p>Testing and characterization inconsistencies exacerbate these challenges. Non-standardized mechanical testing protocols, insufficient surface quality metrics, and disparate porosity measurement techniques hinder the objective evaluation and cross-study comparability of TPMS lattice materials. The establishment of comprehensive, unified testing methodologies is imperative to generate reliable, benchmarked performance data and accelerate adoption in industry applications.</p>
<p>Looking forward, advancements in computational power, machine learning-assisted design, and process monitoring could mitigate many existing issues in geometric design and manufacturing control. Intelligent algorithms capable of efficiently handling the complexity of Boolean operations without resource exhaustion will enable faster and more intricate TPMS lattice generation. Similarly, real-time process control and adaptive post-processing strategies can address surface roughness and defect mitigation effectively, ensuring high-quality outputs that maintain structural integrity under demanding operational conditions.</p>
<p>Furthermore, expanding mechanical testing regimes to include tensile fatigue and multi-physics analyses will deepen understanding of deformation mechanisms and multifunctional behavior, guiding the development of TPMS lattices for diverse industrial domains—ranging from aerospace components requiring high strength-to-weight ratios to biomedical implants needing optimized heat and mass transfer properties. Concurrently, progress in topology optimization algorithms tailored to the constraints of additive manufacturing will drive the creation of lattices with unprecedented performance customization.</p>
<p>Fundamentally, the transition of metallic TPMS lattice structures from promising laboratory technologies to robust industrial solutions hinges upon enhanced collaboration across disciplines and the institution of standardized frameworks. Coordinated efforts that converge materials science insights, mechanical engineering principles, manufacturing technology, and international standards will pose metallic TPMS lattices as cornerstones of future multifunctional material systems. Through these multifaceted endeavors, the transformative potential of additively manufactured metallic TPMS lattices can be fully realized, paving the way for innovative applications across sectors.</p>
<p>In conclusion, while additive manufacturing has unlocked the capability to produce sophisticated metallic TPMS lattice structures, a constellation of challenges spanning design, fabrication, testing, optimization, and standardization remains. Addressing these barriers requires not only technological innovation but also integrated research strategies and standard development initiatives. As the field advances, overcoming these obstacles will enable metallic TPMS lattices to achieve their promise as versatile, high-performance materials for the next generation of manufacturing and engineering applications.</p>
<hr />
<p><strong>Subject of Research</strong>: Metallic Triply Periodic Minimal Surface (TPMS) Lattice Structures and their Additive Manufacturing Challenges and Applications</p>
<p><strong>Article Title</strong>: Additively manufactured metallic TPMS lattice structures: design strategies, fabrication, multifunctional properties, and applications</p>
<p><strong>Article References</strong>:<br />
Li, J., Wang, L., He, X. <em>et al.</em> Additively manufactured metallic TPMS lattice structures: design strategies, fabrication, multifunctional properties, and applications. <em>npj Adv. Manuf.</em> <strong>2</strong>, 45 (2025). <a href="https://doi.org/10.1038/s44334-025-00057-6">https://doi.org/10.1038/s44334-025-00057-6</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
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