ED FAGAN MOLYBDENUM LANTHANUM OXIDE

Ed Fagan Molybdenum Lanthanum Oxide, often referred to as lanthanated molybdenum, MoLa or ML, is an oxide dispersion strengthened alloy. It is produced by combining small amounts of lanthanum oxide (La2O3) particles with molybdenum. This creates a special stacked fiber microstructure that is stable at temperatures up to 2000 °C (3630 °F). After recrystallization, the elongated grain structure with jagged grain boundaries provides a measurable increase in ductility and creep resistant strength over that seen with pure molybdenum. Ed Fagan Molybdenum Lanthanum Oxide is the preferred material when embrittlement after recrystallization must be avoided. This alloy maintains its dimensional shape stability at high-temperatures. This datasheet provides information on composition, physical properties, hardness, elasticity, and tensile properties as well as creep. It also includes information on wear resistance as well as heat treating and machining. Filing Code: Mo-21. Producer or source: Ed Fagan Inc.

Calibration of Fiber Orientation Simulations for LFT—A New Approach

Short fiber reinforced thermoplastics (SFT) are extensively used due to their excellent mechanical properties and low processing costs. Long fiber reinforced thermoplastics (LFT) show an even more interesting property profile and are increasingly used for structural parts. However, their processing by injection molding is not as simple as for SFT, and their anisotropic properties resulting from the fiber microstructure (fiber orientation, length, and concentration) pose a challenge with regard to the engineering design process. To reliably predict the structural mechanical properties of fiber reinforced thermoplastics by means of micromechanical models, it is also necessary to reliable predict the fiber microstructure. Therefore, it is crucial to calibrate the underlying prediction models, such as the fiber orientation model, within the process simulation. In general, these models may be adjusted manually, but this is usually ineffective and time-consuming. To overcome this challenge, a new calibration method was developed to automatically calibrate the fiber orientation model parameters of the injection molding simulation by means of optimization methods. This optimization routine is based on experimentally determined fiber orientation distributions and leads to optimized parameters for the fiber orientation prediction model within a few minutes. To better understand the influence of the model parameters, different versions of the fiber orientation model, as well as process and material influences on the resulting fiber orientation distribution, were investigated. Finally, the developed approach to calibrate the fiber orientation model was compared with a classical approach, a direct optimization of the whole process simulation. Thereby, the new optimization approach shows a calculation time reduced by the factor 15 with comparable error variance.

A modular modeling approach for investigating wool critical buckling from biologically variable along-fiber microstructure

Mammalian hair fibers are internally sophisticated. We introduce a modeling approach aimed at use in research that derives value from understanding how microstructural organization generates effects at the macroscopic level in the context of natural biological variation. Critical buckling load is solved using a numerical approach applied to a modular fiber microstructure model where fibers of arbitrary length are made up of snippets composed of serial cross-sections at 25 micrometer intervals. As an example, the model is applied to investigate how much effect changes to single microstructural properties (fiber ellipticity, cortical cell type distribution and cell type proportion) have on critical buckling load in the context of prickle. Potential uses and key weak areas in our knowledge of wool fiber morphology and biophysics are discussed.