Methods for assessing fiber and bundle orientations and mechanical properties of fiber reinforced composite materials using Thermal Digital Image Correlation (TDIC) are disclosed. In some examples, the method comprises exposing the composite material to a temperature change; imaging the composite material at a plurality of time points before, during and/or after the temperature change; and assessing the characteristic of the composite material based on the imaging. In others, temperature changes naturally occur during the cooling process after manufacturing can be employed for this method such as compression molding process, injection molding process, resin transfer molding processes and its variants.

A compression test fixture including a first specimen engagement member having a first channel, the first channel having a first depth; a second specimen engagement member having a second channel having a second depth that is different than the first depth; and at least one coupling member engaged to both the first specimen engagement member and the second specimen engagement member such that a gap is defined between the first specimen engagement member and the second specimen engagement member, where the first channel and the second channel support the test specimen within the gap such that at least one opposing major surface of the test specimen is visible within the gap.

The present disclosure relates to a method and a device for predicting fiber orientation. The method includes: obtaining a mechanical property parameter value of a fiber composite material; obtaining a change value of a fiber property of the fiber composite material after deformation of the fiber composite material, according to the mechanical property parameter value; and predicting fiber orientation in a forming process of the fiber composite material according to the change value of the fiber property and a preset fiber orientation model, the preset fiber orientation model indicating a mapping relationship between the change value of the fiber property and the fiber orientation after the deformation of the fiber composite material.

A physical property value estimation device that estimates a physical property value corresponding to a physical property required for a composite material is provided with a storage unit that stores a learned physical property regression formula corresponding to the physical property in order to calculate a physical property value corresponding to a physical property predetermined as an objective variable, by using compound data of a material that composes the composite material and feature data of the material as explanatory variables, and stores a feature amount value of the material required for calculating the feature data; a reception unit that receives compound data of the material that composes the composite material as an estimation target; and a physical property calculation unit that obtains the physical property regression formula corresponding to the physical property from the storage unit, and calculates the physical property value based on the obtained compound data by using the obtained physical property regression formula The physical property regression formula established by using the compound data and the feature data includes a feature function for calculating the feature data from the compound data and the feature amount value.

Provided herein are, inter alia, pH-triggered compounds and compositions comprising one or more peptides that are capable of inserting into a lipid bilayer below a certain pH. Treatment, imaging, diagnostic, and other uses of such compounds and compositions are also provided.

The disclosed technology relates to a method of selecting a material composition and/or designing an alloy. In one aspect, a method of selecting a composition of a material having a target property comprises receiving an input comprising thermodynamic phase data for a plurality of materials. The method additionally includes extracting from the thermodynamic phase data a plurality of thermodynamic quantities corresponding to each of the materials by a computing device. The extracted thermodynamic quantities are predetermined to have correlations to microstructures associated with physical properties of the material. The method additionally includes storing the extracted thermodynamic quantities in a computer-readable medium. The method further includes electronically mining the stored thermodynamic quantities using the computing device to rank at least a subset of the materials based on a comparison of at least a subset of the thermodynamic quantities that are correlated to the target property.

A method for monitoring property changes in a composite material structure includes: transmitting a radio-frequency (RF) signal towards the composite material structure using a millimeter-wave radar sensor embedded in the composite material structure; receiving a reflected signal from the composite material structure using the millimeter-wave radar sensor; processing the reflected signal; and determining a property change in the composite material structure based on processing the reflected signal.

The invention relates to a method for producing a fiber-plastic composite reference body for simulating delamination for the nondestructive testing of FPC components, in particular aircraft components, comprising the following steps: i. producing a first insert by a. arranging a first FPC layer; b. forming a recess in the first FPC layer; c. procuring the first FPC layer, in order to obtain the first insert; ii. producing a second insert by a. arranging a second FPC layer; b. pre-curing the second FPC layer, in order to obtain the second insert; iii. providing at least one first FPC layer and at least one second FPC layer with a first clearance and a second clearance; iv. inserting the first insert and the second insert into the respective clearance of the corresponding FPC layer; v. curing the arrangement, a delamination being simulated at the recess of the first insert.

A system for detecting liquid water in a sandwich structure, the sandwich structure comprising two outer skins and a honeycomb core that rigidly interconnects the outer skins, and wherein is obtained a plurality of cells closed at opposite ends by the two outer skins, the cells being further configured to be in fluid communication with each other, wherein the system comprises at least one sensor placed within one of said cells, the sensor being sensitive to the presence of free liquid water within the cells, and a processing unit configured to receive an output signal provided by the sensor and issue a warning in case of the presence of free liquid water within the cells.

Provided is a method for estimating abrasion resistance and fracture resistance by highly accurately analyzing aggregation (dispersion) of sulfur-based materials in polymer composite materials. The present invention relates to a method for estimating abrasion resistance and fracture resistance, the method including: irradiating a polymer composite material containing at least one sulfur-based material selected from the group consisting of sulfur and sulfur compounds with high intensity X-rays; measuring X-ray absorption of a measurement region of the polymer composite material while varying the energy of the X-rays; calculating areas of spots having a high sulfur concentration equal to or greater than a predetermined level in a two-dimensional mapping image of sulfur concentration of the measurement region; and estimating abrasion resistance and fracture resistance based on the areas.