Work with thought leaders and academic experts in mechanics of materials

Companies can greatly benefit from working with experts in the field of Mechanics of Materials. These researchers bring a deep understanding of the behavior of materials under different conditions, allowing companies to enhance their innovation, problem-solving, and product development capabilities. By collaborating with academic researchers, companies can gain access to cutting-edge research, advanced testing techniques, and specialized knowledge. This collaboration can lead to the development of new materials, improved product performance, and optimized manufacturing processes. Additionally, academic researchers can provide valuable insights and recommendations for solving complex engineering challenges, helping companies stay ahead of the competition.

Researchers on NotedSource with backgrounds in mechanics of materials include Edward Elliott, Ph.D., Dr. Fantai Kong, Ph.D., Siddharth Maddali, Edohamen Awannegbe. PhD, CMatP, Xiaolei Wang, Mohammad Imran Khan, Michael Hickner, Dr. Olusanmi Adeniran, Tim Osswald, and Vladimir Shapiro, Ph.D..

Dr. Fantai Kong, Ph.D.

Dallas, Texas, United States of America
Hunt Energy
Most Relevant Research Interests
Mechanics of Materials
Other Research Interests (19)
Energy Storage
Renewable Energy, Sustainability and the Environment
Electronic, Optical and Magnetic Materials
Surfaces, Coatings and Films
Materials Chemistry
And 14 more
About
With over 10 years of research and development experience in the field of energy storage and conversion technologies, I have gained extensive expertise in diverse areas such as Li-ion batteries, Zn-ion batteries, Na-ion batteries, Li extraction, fuel cells, and topological insulators. Throughout my career, I have actively collaborated with partners from industrial, national labs, and universities to overcome technology challenges and develop innovative solutions that have resulted in a prolific publication record, including more than 30 peer-reviewed articles, and 10 awarded/pending patents.
Most Relevant Publications (4+)

31 total publications

CT-MEAM interatomic potential of the Li-Ni-O ternary system for Li-ion battery cathode materials

Computational Materials Science / Feb 01, 2017

Kong, F., Longo, R. C., Liang, C., Yeon, D.-H., Zheng, Y., Park, J.-H., Doo, S.-G., & Cho, K. (2017). CT-MEAM interatomic potential of the Li-Ni-O ternary system for Li-ion battery cathode materials. Computational Materials Science, 127, 128–135. https://doi.org/10.1016/j.commatsci.2016.10.030

Charge-transfer modified embedded-atom method for manganese oxides: Nanostructuring effects on MnO2 nanorods

Computational Materials Science / Aug 01, 2016

Kong, F., Longo, R. C., Zhang, H., Liang, C., Zheng, Y., & Cho, K. (2016). Charge-transfer modified embedded-atom method for manganese oxides: Nanostructuring effects on MnO2 nanorods. Computational Materials Science, 121, 191–203. https://doi.org/10.1016/j.commatsci.2016.04.029

A large-scale simulation method on complex ternary Li–Mn–O compounds for Li-ion battery cathode materials

Computational Materials Science / Feb 01, 2016

Kong, F., Zhang, H., Longo, R. C., Lee, B., Yeon, D.-H., Yoon, J., Park, J.-H., Doo, S.-G., & Cho, K. (2016). A large-scale simulation method on complex ternary Li–Mn–O compounds for Li-ion battery cathode materials. Computational Materials Science, 112, 193–204. https://doi.org/10.1016/j.commatsci.2015.10.027

Influence of interstitial beryllium on properties of ZnO: A first-principle research

Computational Materials Science / Aug 01, 2012

Kong, F. T., & Gong, H. R. (2012). Influence of interstitial beryllium on properties of ZnO: A first-principle research. Computational Materials Science, 61, 127–133. https://doi.org/10.1016/j.commatsci.2012.04.008

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Siddharth Maddali

Fremont, California, United States of America
Computational physicist with a specialization in X-ray and optical imaging and microscopy for condensed matter and materials systems.
Most Relevant Research Interests
Mechanics of Materials
Other Research Interests (21)
Computational microscopy
Fourier/physical optics
signal processing
physics
HPC
And 16 more
About
Computational materials, imaging and microscopy scientist with **8 years combined experience** in industry and national laboratories. Expert in physics-based imaging and characterization with X-rays and optical probes, high-performance computing for light-matter interaction and materials data analysis. Experienced in machine learning for materials discovery. Previous experience at the National Energy Technology Laboratory, Argonne National Laboratory and KLA Corporation. <br>
Most Relevant Publications (4+)

29 total publications

9Cr steel visualization and predictive modeling

Computational Materials Science / Oct 01, 2019

Krishnamurthy, N., Maddali, S., Hawk, J. A., & Romanov, V. N. (2019). 9Cr steel visualization and predictive modeling. Computational Materials Science, 168, 268–279. https://doi.org/10.1016/j.commatsci.2019.03.015

Topology-faithful nonparametric estimation and tracking of bulk interface networks

Computational Materials Science / Dec 01, 2016

Maddali, S., Ta’asan, S., & Suter, R. M. (2016). Topology-faithful nonparametric estimation and tracking of bulk interface networks. Computational Materials Science, 125, 328–340. https://doi.org/10.1016/j.commatsci.2016.08.021

Dark field X-ray microscopy below liquid-helium temperature: The case of NaMnO2

Materials Characterization / Oct 01, 2023

Plumb, J., Poudyal, I., Dally, R. L., Daly, S., Wilson, S. D., & Islam, Z. (2023). Dark field X-ray microscopy below liquid-helium temperature: The case of NaMnO2. Materials Characterization, 204, 113174. https://doi.org/10.1016/j.matchar.2023.113174

Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization

npj Computational Materials / May 23, 2023

Maddali, S., Frazer, T. D., Delegan, N., Harmon, K. J., Sullivan, S. E., Allain, M., Cha, W., Dibos, A., Poudyal, I., Kandel, S., Nashed, Y. S. G., Heremans, F. J., You, H., Cao, Y., & Hruszkewycz, S. O. (2023). Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization. Npj Computational Materials, 9(1). https://doi.org/10.1038/s41524-023-01022-7

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Edohamen Awannegbe. PhD, CMatP

Sydney, New South Wales, Australia
Seeking a research position in fabrication, post-fabrication processing, microstructural characterisation and mechanical analysis of materials.
Most Relevant Research Interests
Mechanics of Materials
Other Research Interests (7)
Condensed Matter Physics
Mechanical Engineering
Materials Chemistry
Metals and Alloys
Microstructural characterisation
And 2 more
About
▪ High impact journal publications ▪ Seeking a research position ▪ PhD in Materials Science and Engineering, Australia o Structure and properties of additively manufactured titanium alloys ▪ MSc in Drilling Engineering, Norway ▪ BSc in Mechanical Engineering, United States of America ▪ Experienced in the analysis of solid-state transformation during additive manufacturing, microstructural characterisation of metals, mechanical testing design (tensile, compressive, fatigue, impact, torsional, bending, wear and corrosion), data visualization and analysis
Most Relevant Publications (4+)

4 total publications

Influence of heat treatment on the tensile properties of Ti–15Mo additively manufactured by laser metal deposition

Materials Science and Engineering: A / Feb 01, 2024

Awannegbe, E., Zhao, Y., Qiu, Z., & Li, H. (2024). Influence of heat treatment on the tensile properties of Ti–15Mo additively manufactured by laser metal deposition. Materials Science and Engineering: A, 892, 146062. https://doi.org/10.1016/j.msea.2023.146062

Effect of thermomechanical processing on compressive mechanical properties of Ti–15Mo additively manufactured by laser metal deposition

Materials Science and Engineering: A / Jan 01, 2024

Awannegbe, E., Chen, L., Zhao, Y., Qiu, Z., & Li, H. (2024). Effect of thermomechanical processing on compressive mechanical properties of Ti–15Mo additively manufactured by laser metal deposition. Materials Science and Engineering: A, 889, 145834. https://doi.org/10.1016/j.msea.2023.145834

Microstructural characterisation and mechanical evaluation of Ti-15Mo manufactured by laser metal deposition

Journal of Alloys and Compounds / Jun 01, 2023

Awannegbe, E., Li, H., Song, T., Niessen, F., Qian, M., Gazder, A. A., Nancarrow, M. J. B., & Pereloma, E. (2023). Microstructural characterisation and mechanical evaluation of Ti-15Mo manufactured by laser metal deposition. Journal of Alloys and Compounds, 947, 169553. https://doi.org/10.1016/j.jallcom.2023.169553

Hot Deformation Behavior and Microstructural Evolution of Wire-Arc Additively Fabricated Inconel 718 Superalloy

Metallurgical and Materials Transactions A / Nov 05, 2022

Sujan, G. K., Gazder, A. A., Awannegbe, E., Li, H., Pan, Z., Liang, D., & Alam, N. (2022). Hot Deformation Behavior and Microstructural Evolution of Wire-Arc Additively Fabricated Inconel 718 Superalloy. Metallurgical and Materials Transactions A, 54(1), 226–240. https://doi.org/10.1007/s11661-022-06863-3

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Xiaolei Wang

Raleigh, North Carolina, United States of America
R&D Scientist in biomedical imaging and surgical microscope development
Most Relevant Research Interests
Mechanics of Materials
Other Research Interests (19)
Optical imaging system development
image analysis algorithm development
Atomic and Molecular Physics, and Optics
Mechanical Engineering
Biotechnology
And 14 more
About
I am an R&D Optical Scientist and Expert specializing in Optical Imaging and Optical Microscope Development for biomedical and clinical applications. With a background in Physics and over 15 years of experience in optical science and imaging, I am passionate about pushing the boundaries of what light can achieve in the realm of medicine and healthcare. My journey in the world of optics has led me to become a leader in the research and development of next-generation optical imaging products that have a profound impact on surgical procedures and patient outcomes. My areas of expertise encompass optical physics, optical microscopy, optical metrology, photonics, and computational modeling and simulation. I've had the privilege of sharing my insights through multiple peer-reviewed publications in prestigious journals like ACS Nano, Optical Letter, and Advanced Materials. Additionally, I hold certifications in machine learning and deep learning for image analysis, allowing me to harness the power of cutting-edge technology in my work.
Most Relevant Publications (1+)

33 total publications

Superplastic Formation of Metal Nanostructure Arrays with Ultrafine Gaps

Advanced Materials / Aug 29, 2016

Hu, Y., Xuan, Y., Wang, X., Deng, B., Saei, M., Jin, S., Irudayaraj, J., & Cheng, G. J. (2016). Superplastic Formation of Metal Nanostructure Arrays with Ultrafine Gaps. Advanced Materials, 28(41), 9152–9162. Portico. https://doi.org/10.1002/adma.201602497

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Michael Hickner

Michigan State University
Most Relevant Research Interests
Mechanics of Materials
Other Research Interests (35)
polymers : 3D printing : materials chemistry : energy : water
Colloid and Surface Chemistry
Biochemistry
Catalysis
Pollution
And 30 more
About
Michael Hickner is an accomplished researcher and educator with an extensive background in chemical engineering. He received his PhD in Chemical Engineering from Virginia Tech in 2003. For the past 15 years, Hickner has been a Rogerson Endowed Professor at Michigan State University, where he has conducted highly acclaimed research in the areas of sustainable energy technologies and nanomanufacturing. Previous to this appointment, Hickner was a Senior Member of the Technical Staff at Sandia National Laboratories, where he conducted post-doctoral research in the fields of materials science, nanotechnology, and catalysis. Given his diverse skill set and supportive leadership style, Michigan State students look to Hickner to provide them with the guidance, mentorship, and educational tools necessary to excel in the field of chemical engineering.
Most Relevant Publications (6+)

217 total publications

Ion-containing polymers: new energy & clean water

Materials Today / May 01, 2010

Hickner, M. A. (2010). Ion-containing polymers: new energy &amp; clean water. Materials Today, 13(5), 34–41. https://doi.org/10.1016/s1369-7021(10)70082-1

Additive manufacturing of silicone-thermoplastic elastomeric composite architectures

Journal of Composite Materials / Oct 10, 2022

Liu, W., Campbell, R. R., Periyasamy, M., & Hickner, M. A. (2022). Additive manufacturing of silicone-thermoplastic elastomeric composite architectures. Journal of Composite Materials, 56(29), 4409–4419. https://doi.org/10.1177/00219983221131614

Design, manufacture and test of a novel structural battery based on sandwich construction

Journal of Sandwich Structures &amp; Materials / Jun 24, 2015

Singh, A. K., Cao, L., Ma, J., Seo, J., Bakis, C. E., Zhang, Y., Hickner, M. A., & Rahn, C. D. (2015). Design, manufacture and test of a novel structural battery based on sandwich construction. Journal of Sandwich Structures &amp; Materials, 17(6), 666–690. https://doi.org/10.1177/1099636215591908

Elucidating Liquid Water Distribution and Removal in an Operating Proton Exchange Membrane Fuel Cell via Neutron Radiography

Journal of Fuel Cell Science and Technology / Oct 05, 2009

Hickner, M. A., Chen, K. S., & Siegel, N. P. (2009). Elucidating Liquid Water Distribution and Removal in an Operating Proton Exchange Membrane Fuel Cell via Neutron Radiography. Journal of Fuel Cell Science and Technology, 7(1). https://doi.org/10.1115/1.3115624

Relaxation of Proton Conductivity and Stress in Proton Exchange Membranes Under Strain

Journal of Engineering Materials and Technology / Jun 06, 2006

Liu, D., Hickner, M. A., Case, S. W., & Lesko, J. J. (2006). Relaxation of Proton Conductivity and Stress in Proton Exchange Membranes Under Strain. Journal of Engineering Materials and Technology, 128(4), 503–508. https://doi.org/10.1115/1.2345441

Correlation of capacitance and actuation in ionomeric polymer transducers

Journal of Materials Science / Jul 01, 2005

Akle, B. J., Leo, D. J., Hickner, M. A., & McGrath, J. E. (2005). Correlation of capacitance and actuation in ionomeric polymer transducers. Journal of Materials Science, 40(14), 3715–3724. https://doi.org/10.1007/s10853-005-3312-x

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Dr. Olusanmi Adeniran

Dallas, TX
Solid background in Materials Science and author of 10+ technical publications across industrial, manufacturing, & systems engineering. United States patents Grantee with 16 years of industry experience.
Most Relevant Research Interests
Mechanics of Materials
Other Research Interests (8)
Ceramics and Composites
Materials Chemistry
Polymers and Plastics
Mechanical Engineering
Industrial and Manufacturing Engineering
And 3 more
About
Dr. Olusanmi Adeniran is a highly skilled and experienced engineer with expertise in materials and energy systems. He received his Ph.D. in Systems Engineering - Materials & Manufacturing from Texas Tech University in 2022, where he focused on developing advanced materials for diverse applications ranging from aerospace to energy and automotive. Before this, he obtained his M.S. in Materials Science & Engineering from The University of Texas at Arlington in 2013. With over 16 years of industry experience under his belt, Dr. Adeniran has worked in various roles, including as a Staff Engineer at Lockheed Martin, where he was involved in various developments in defense manufacturing. He also served as a Principal Consultant at Abacoll Solutions LLC, providing engineering support services to a range of industries. His other experiences include a Principal Process Engineer role with Simens Energy, and a Senior Development Engineer with Schaeffler Group, amongst others. Dr. Adeniran's research interests include the development of advanced materials for diverse applications including, aerospace, energy, automotive, environmental, etc. He has published numerous articles in peer-reviewed journals and has presented his research at various conferences and symposiums. In addition to his technical skills, Dr. Adeniran is also a skilled leader and communicator, having led teams in various engineering projects and mentored undergraduate and graduate students in their research. He is passionate about using his knowledge and experience to contribute to the advancement of materials and energy technologies.
Most Relevant Publications (5+)

10 total publications

A machine learning approach to characterise fabrication porosity effects on the mechanical properties of additively manufactured thermoplastic composites

Journal of Reinforced Plastics and Composites / Mar 04, 2024

Udu, A. G., Osa-uwagboe, N., Adeniran, O., Aremu, A., Khaksar, M. G., & Dong, H. (2024). A machine learning approach to characterise fabrication porosity effects on the mechanical properties of additively manufactured thermoplastic composites. Journal of Reinforced Plastics and Composites. https://doi.org/10.1177/07316844241236696

Finite element model of fiber volume effect on the mechanical performance of additively manufactured carbon fiber reinforced plastic composites

Forces in Mechanics / Feb 01, 2023

Adeniran, O., Cong, W., Aremu, A., & Oluwole, O. (2023). Finite element model of fiber volume effect on the mechanical performance of additively manufactured carbon fiber reinforced plastic composites. Forces in Mechanics, 10, 100160. https://doi.org/10.1016/j.finmec.2022.100160

Material design factors in the additive manufacturing of Carbon Fiber Reinforced Plastic Composites: A state-of-the-art review

Advances in Industrial and Manufacturing Engineering / Nov 01, 2022

Adeniran, O., Cong, W., & Aremu, A. (2022). Material design factors in the additive manufacturing of Carbon Fiber Reinforced Plastic Composites: A state-of-the-art review. Advances in Industrial and Manufacturing Engineering, 5, 100100. https://doi.org/10.1016/j.aime.2022.100100

Thermoplastic matrix material influences on the mechanical performance of additively manufactured carbon-fiber-reinforced plastic composites

Journal of Composite Materials / Mar 04, 2022

Adeniran, O., Cong, W., & Oluwabunmi, K. (2022). Thermoplastic matrix material influences on the mechanical performance of additively manufactured carbon-fiber-reinforced plastic composites. Journal of Composite Materials, 56(9), 1391–1405. https://doi.org/10.1177/00219983221077345

Environmental affected mechanical performance of additively manufactured carbon fiber–reinforced plastic composites

Journal of Composite Materials / Feb 08, 2022

Adeniran, O., Cong, W., Bediako, E., & Adu, S. P. (2022). Environmental affected mechanical performance of additively manufactured carbon fiber–reinforced plastic composites. Journal of Composite Materials, 56(7), 1139–1150. https://doi.org/10.1177/00219983211066548

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Tim Osswald

Polymers Professor - University of Wisconsin
Most Relevant Research Interests
Mechanics of Materials
Other Research Interests (44)
Polymer Engineering
Advanced Manufacturing
Composites
Additive Manufacturing
Materials Chemistry
And 39 more
About
T. Osswald is Hoeganaes Professor of Materials at the University of Wisconsin-Madison, where he has been a faculty member since 1989. Osswald received the PhD in Mechanical Engineering from the University of Illinois at Urbana-Champaign in 1987, the MS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1982, and the BS in Mechanical Engineering from the South Dakota School of Mines and Technology in 1981. Before joining the UW-Madison faculty, Osswald was a Humboldt Fellow at the Rheinisch Westfalische Technische Hochschule Aachen. Osswald’s research interests are in the areas of processing-structure-property relationships for metals and composites, with a focus on powder metallurgy and metal injection molding. His research has been supported by the National Science Foundation, the Department of Energy, the US Army Research Office, and industry. Osswald is a Fellow of ASM International and the American Academy of Mechanics, and he has received the Extrusion Division Award, the Powder Metallurgy Division Award, and the Distinguished Teaching Award from TMS.
Most Relevant Publications (14+)

117 total publications

Evaluation of various fire retardants for use in wood flour–polyethylene composites

Polymer Degradation and Stability / Sep 01, 2010

Stark, N. M., White, R. H., Mueller, S. A., & Osswald, T. A. (2010). Evaluation of various fire retardants for use in wood flour–polyethylene composites. Polymer Degradation and Stability, 95(9), 1903–1910. https://doi.org/10.1016/j.polymdegradstab.2010.04.014

A thermo-viscoelastic approach for the characterization and modeling of the bending behavior of thermoplastic composites

Composites Part A: Applied Science and Manufacturing / Nov 01, 2016

Ropers, S., Kardos, M., & Osswald, T. A. (2016). A thermo-viscoelastic approach for the characterization and modeling of the bending behavior of thermoplastic composites. Composites Part A: Applied Science and Manufacturing, 90, 22–32. https://doi.org/10.1016/j.compositesa.2016.06.016

Prediction of Shrinkage and Warpage of Fiber Reinforced Thermoset Composite Parts

Journal of Reinforced Plastics and Composites / Aug 01, 1994

Tseng, S.-C., & Osswald, T. A. (1994). Prediction of Shrinkage and Warpage of Fiber Reinforced Thermoset Composite Parts. Journal of Reinforced Plastics and Composites, 13(8), 698–721. https://doi.org/10.1177/073168449401300803

The effects of e-beam irradiation induced cross linking on the friction and wear of polyamide 66 in sliding contact

Wear / Mar 01, 2010

Feulner, R., Brocka, Z., Seefried, A., Kobes, M. O., Hülder, G., & Osswald, T. A. (2010). The effects of e-beam irradiation induced cross linking on the friction and wear of polyamide 66 in sliding contact. Wear, 268(7–8), 905–910. https://doi.org/10.1016/j.wear.2009.12.025

Measuring fibre orientation in sisal fibre-reinforced, injection moulded polypropylene – Pros and cons of the experimental methods to validate injection moulding simulation

Composites Part A: Applied Science and Manufacturing / Apr 01, 2017

Albrecht, K., Baur, E., Endres, H.-J., Gente, R., Graupner, N., Koch, M., Neudecker, M., Osswald, T., Schmidtke, P., Wartzack, S., Webelhaus, K., & Müssig, J. (2017). Measuring fibre orientation in sisal fibre-reinforced, injection moulded polypropylene – Pros and cons of the experimental methods to validate injection moulding simulation. Composites Part A: Applied Science and Manufacturing, 95, 54–64. https://doi.org/10.1016/j.compositesa.2016.12.022

Process-induced fiber matrix separation in long fiber-reinforced thermoplastics

Composites Part A: Applied Science and Manufacturing / Feb 01, 2018

Goris, S., & Osswald, T. A. (2018). Process-induced fiber matrix separation in long fiber-reinforced thermoplastics. Composites Part A: Applied Science and Manufacturing, 105, 321–333. https://doi.org/10.1016/j.compositesa.2017.11.024

CAE method for compression molding of carbon fiber-reinforced thermoplastic composite using bulk materials

Composites Part A: Applied Science and Manufacturing / Nov 01, 2018

Song, Y., Gandhi, U., Sekito, T., Vaidya, U. K., Vallury, S., Yang, A., & Osswald, T. (2018). CAE method for compression molding of carbon fiber-reinforced thermoplastic composite using bulk materials. Composites Part A: Applied Science and Manufacturing, 114, 388–397. https://doi.org/10.1016/j.compositesa.2018.09.002

Fabrication of hybrid composite T-joints by co-curing with 3D printed dual cure epoxy

Composites Part B: Engineering / Feb 01, 2020

Dahmen, V., Redmann, A. J., Austermann, J., Quintanilla, A. L., Mecham, S. J., & Osswald, T. A. (2020). Fabrication of hybrid composite T-joints by co-curing with 3D printed dual cure epoxy. Composites Part B: Engineering, 183, 107728. https://doi.org/10.1016/j.compositesb.2019.107728

Method to account for the fiber orientation of the initial charge on the fiber orientation of finished part in compression molding simulation

Composites Part A: Applied Science and Manufacturing / Sep 01, 2017

Song, Y., Gandhi, U., Pérez, C., Osswald, T., Vallury, S., & Yang, A. (2017). Method to account for the fiber orientation of the initial charge on the fiber orientation of finished part in compression molding simulation. Composites Part A: Applied Science and Manufacturing, 100, 244–254. https://doi.org/10.1016/j.compositesa.2017.05.021

A thermo-viscoelastic approach for the characterization and modeling of the bending behavior of thermoplastic composites – Part II

Composites Part A: Applied Science and Manufacturing / May 01, 2017

Ropers, S., Sachs, U., Kardos, M., & Osswald, T. A. (2017). A thermo-viscoelastic approach for the characterization and modeling of the bending behavior of thermoplastic composites – Part II. Composites Part A: Applied Science and Manufacturing, 96, 67–76. https://doi.org/10.1016/j.compositesa.2017.02.007

Modeling the behavior of fiber suspensions in the molding of polymer composites

Journal of Reinforced Plastics and Composites / May 01, 2011

Londoño-Hurtado, A., Osswald, T. A., & Hernandez-Ortíz, J. P. (2011). Modeling the behavior of fiber suspensions in the molding of polymer composites. Journal of Reinforced Plastics and Composites, 30(9), 781–790. https://doi.org/10.1177/0731684411400227

High-force dynamic mechanical analysis of composite sandwich panels for aerospace structures

Composites Part C: Open Access / Jul 01, 2021

Redmann, A., Montoya-Ospina, M. C., Karl, R., Rudolph, N., & Osswald, T. A. (2021). High-force dynamic mechanical analysis of composite sandwich panels for aerospace structures. Composites Part C: Open Access, 5, 100136. https://doi.org/10.1016/j.jcomc.2021.100136

Novel modeling approach for fiber breakage during molding of long fiber-reinforced thermoplastics

Physics of Fluids / Jul 01, 2021

Bechara, A., Goris, S., Yanev, A., Brands, D., & Osswald, T. (2021). Novel modeling approach for fiber breakage during molding of long fiber-reinforced thermoplastics. Physics of Fluids, 33(7), 073318. https://doi.org/10.1063/5.0058693

Data enriched lubrication force modeling for a mechanistic fiber simulation of short fiber-reinforced thermoplastics

Physics of Fluids / May 01, 2021

Kugler, S. K., Bechara, A., Perez, H., Cruz, C., Kech, A., & Osswald, T. A. (2021). Data enriched lubrication force modeling for a mechanistic fiber simulation of short fiber-reinforced thermoplastics. Physics of Fluids, 33(5), 053107. https://doi.org/10.1063/5.0049641

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Vladimir Shapiro, Ph.D.

Boston, Massachusetts, United States of America

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Example mechanics of materials projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on mechanics of materials?

Optimizing Material Selection for Automotive Components

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Designing High-Strength Structures for Aerospace Industry

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Developing Advanced Medical Implants

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Enhancing Energy Storage Systems

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Optimizing Manufacturing Processes

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