8 results about "Shear band" patented technology

The present invention relates to an airless tire (1) for extraterrestrial vehicles, the airless tire (1) comprising a tread made of three-dimensional fabric for vehicles capable of traveling on various types of surfaces at very low temperatures in extraterrestrial environments. This airless tire includes, radially from the inside to the outside, a support structure (2), a shear band (3), and a tread (4), the support structure (2) being designed to mate with a rim. According to the invention, the material used to manufacture the tread (4) has a tensile Young's modulus E of at least 1 GPa and at most 6 GPa measured at a temperature equal to 20°C and a tensile Young's modulus E of at least 1.2 GPa and at most 9 GPa measured at a temperature equal to -196°C, and a maximum tensile stress Sm of at least 25 MPa and at most 150 MPa measured at a temperature equal to 20°C and a maximum tensile stress Sm of at least 40 MPa and at most 260 MPa measured at a temperature equal to -196°C. These mechanical properties are measured according to standard ASTM D638, and the tread (4) is made solely of three-dimensional fabric (T).

This invention relates to an intelligent flow sensing method and system for cold-pressing amorphous alloy powder, belonging to the field of flow measurement technology. The method includes constructing an acoustic emission feature vector; inputting the original capacitance measurement tensor and acoustic emission feature vector into a capacitance tomography reconstruction algorithm to construct a multi-frequency dielectric-mechanical coupled Gaussian mixture model; performing soft classification decoupling on the dielectric constant distribution matrix to generate a shear band density field and a porosity distribution field; introducing the shear band density field to perform free volume correction on the powder's apparent density distribution field, and solving to obtain a real-time flow characteristic scalar; inputting this time-series graph structure data into a graph neural network-long short-term memory coupled model; comparing the shear band network connectivity with a threshold in real time; and constructing a multi-objective cost function to achieve coordinated control of high-precision flow tracking and active suppression of shear band instability during cold pressing. This invention improves the flow sensing accuracy, instability early warning timeliness, and process control coordination of cold-pressing amorphous alloy powder.

A non-oriented electrical steel sheet according to an embodiment of the present invention contains, by wt%, 1.5 to 5.0% Si, 0.1 to 2.0% Al and 0.1 to 2.0% Mn, with the balance being Fe and inevitable impurities. In a cross section that includes the rolling direction and the thickness direction of the steel sheet, in the central portion going from 1 / 4 to 3 / 4 of the total thickness of the steel sheet, the angle between {113}<110> and the shear band in the rolling direction of the steel sheet is 25 to 55°.

A shear band that may be used e.g., in a non-pneumatic tire is provided. The shear band uses interlaced reinforcing elements positioned within a shear layer of elastomeric material. A variety of configurations may be used to create the interlaced positioning of the reinforcing elements including e.g., a horizontal diamond or vertical diamond configuration. The shear layer formed from a rubber composition having a very low hysteresis reinforced with silica and carbon black and one or more anti-reversion chemical selected from 1,3 bis((3-methyl-2,5-dioxopyrrol-1-yl)methyl)benzene (CAS No.: 119462-56-5) and hexamethylene 1,6-bis(thiosulphate), disodium salt, dihydrate (CAS No.: 5719-73-3).

This invention discloses a PVC conduit and its preparation method, belonging to the field of polymer materials technology. By incorporating functionalized grafted elastomers, this invention significantly improves toughness while effectively inducing numerous crazing and shear bands in the matrix at low temperatures, absorbing impact energy and thus significantly improving the brittle fracture problem of PVC-U pipes under low-temperature conditions. Furthermore, the modified functional filler not only significantly improves the compatibility with PVC resin and elastomers, but also utilizes needle-like nano-hydroxyapatite combined with silicon carbide to form a stable three-dimensional network structure in the system, further hindering the intrusion of oxygen and heat, thereby delaying material aging. Due to the overlapping effect of needle-like hydroxyapatite and the rigidity point effect of silicon carbide, it significantly strengthens the PVC matrix, thereby improving the overall performance of the PVC conduit, achieving a balance between rigidity and toughness, and possessing higher application value.

This invention discloses a preparation process for copper-nickel-silicon alloys for server connectors. This scheme optimizes the proportions of components such as nickel, silicon, and magnesium, and specifically designs the preparation process. Continuous extrusion causes dynamic recrystallization of the ingot, followed by solution treatment to form a supersaturated solid solution. High-density slip bands are generated during cold rolling. During the first-stage aging treatment, the reduction of shear bands promotes the growth of discontinuous Ni2Si phases. Fine cold rolling helps to combine precipitation strengthening and work hardening to achieve a dual-mechanism superposition, further improving the strength and other properties of the copper-nickel-silicon alloy. Second-stage aging helps eliminate internal stress from cold rolling and promotes the precipitation of trace amounts of solute, thereby improving stress relaxation resistance and electrical conductivity. This invention optimizes the component proportions of the copper-nickel-silicon alloy and specifically designs the preparation process, eliminating the need for hot rolling equipment and reducing costs. The prepared copper-nickel-silicon alloy exhibits excellent strength and electrical conductivity.

The application relates to a kind of amorphous alloy powder cold pressure flow intelligent perception method and system, it is related to flow measurement technical field, including constructing acoustic emission feature vector;Original capacitance measurement tensor and acoustic emission feature vector are input into the reconstruction algorithm of electrical capacitance tomography, construct multi-frequency dielectric-mechanical coupling Gaussian mixture model;Soft classification decoupling is carried out to dielectric constant distribution matrix, and shear band density field and porosity distribution field are generated;Introduce shear band density field to the apparent density distribution field of the powder to carry out free volume correction, and solve to obtain real-time flow characteristic scalar;The time series graph structure data are input into graph neural network-long short-term memory coupling model;Shear band network connectivity is compared with the threshold value in real time;Multi-objective cost function is constructed, and the collaborative control of high-precision tracking of flow and active inhibition of shear band instability in cold pressing process is realized.The application improves the flow perception accuracy, instability early warning timeliness and process control synergy of amorphous alloy powder cold pressing.

This invention relates to a method and system for predicting recrystallization nucleation sites based on a multi-factor scoring model. The method includes: performing electron backscatter diffraction (ESD) scanning on a cold-deformed metal sample to acquire ESD data containing crystal orientation information; calculating a local orientation difference field based on the ESD data; extracting grain boundary information from the local orientation difference field, including the spatial distribution of large-angle grain boundaries and lattice grain boundaries at overlapping locations; automatically identifying shear band regions based on the morphological characteristics and spatial distribution of the local orientation difference field; establishing a multi-factor weighted scoring model to calculate a nucleation tendency score for each pixel location, wherein the multi-factors include a local energy storage factor, a large-angle grain boundary distance factor, a shear band factor, and a lattice grain boundary factor at overlapping locations; determining priority nucleation sites based on a scoring threshold, and outputting a spatial distribution map of nucleation sites and statistical results. Compared with existing technologies, this invention achieves automated and accurate prediction of nucleation sites.