Vakil Parth N, Muhammed Faheem, Hardy David, Dickens Tarik J, Ramakrishnan Subramanian, Strouse Geoffrey F
Department of Chemistry and Biochemistry, Florida State University, 95 Chieftan Way, Tallahassee, Florida 32306, United States.
Chemical & Biomedical Engineering and Department of Industrial and Manufacturing Engineering, FAMU-FSU College of Engineering, 2525 Pottsdamer Street, Tallahassee, Florida 32310, United States.
ACS Omega. 2018 Oct 8;3(10):12813-12823. doi: 10.1021/acsomega.8b01477. eCollection 2018 Oct 31.
Nanomaterial-loaded thermoplastics are attractive for applications in adaptive printing methods, as the physical properties of the printed materials are dependent on the nanomaterial type and degree of dispersion. This study compares the dispersion and the impact on the dielectric properties of two common nanoparticles, nickel and iron oxide, loaded into polystyrene. Comparisons between commercial and synthetically prepared samples indicate that well-passivated synthetically prepared nanomaterials are dispersed and minimize the impact on the dielectric properties of the host polymer by limiting particle-particle contacts. Commercial samples were observed to phase-segregate, leading to the loss of the low- performance of polystyrene. The change in the real and imaginary dielectric was systematically studied in two earth abundant nanoparticles at the concentration between 0 and 13 vol % (0-50 wt %). By varying the volume percentage of fillers in the matrix, it is shown that one can increase the magnetic properties of the materials while minimizing unwanted contributions to the dielectric constant and dielectric loss. The well-dispersed nanoparticle systems were successfully modeled through the Looyenga dielectric theory, thus giving one a predictive ability for the dielectric properties. The current experimental work coupled with modeling could facilitate future material choices and guide design rules for printable polymer composite systems.
负载纳米材料的热塑性塑料在自适应印刷方法中具有吸引力，因为印刷材料的物理性质取决于纳米材料的类型和分散程度。本研究比较了两种常见的纳米颗粒（镍和氧化铁）负载到聚苯乙烯中后的分散情况及其对介电性能的影响。商业样品和合成制备样品之间的比较表明，经过良好钝化的合成制备纳米材料能够分散，并通过限制颗粒间接触将对主体聚合物介电性能的影响降至最低。观察到商业样品会发生相分离，导致聚苯乙烯性能变差。在两种储量丰富的纳米颗粒中，系统研究了浓度在0至13体积%（0至50重量%）之间时实部和虚部介电常数的变化。通过改变基体中填料的体积百分比表明，人们可以在使对介电常数和介电损耗的不必要贡献最小化的同时提高材料的磁性能。通过洛伊enga介电理论成功地对分散良好的纳米颗粒系统进行了建模，从而赋予了人们预测介电性能的能力。当前的实验工作与建模相结合，可为未来的材料选择提供便利，并为可印刷聚合物复合系统指导设计规则。
