The present disclosure relates to bendable and/or foldable articles and uses thereof and to a method of providing bendable and/or foldable articles. The articles are of translucent and brittle material, such as glass, glass ceramic, ceramic or crystals. The articles may be used as a display cover such as a protecting cover in displays in, for example, smartphones, tablet computers, or TV devices. The articles may also be used as a substrate for electronic components, such as OLEDs or LEDs.

The present invention relates to a method for evaluating the properties of a plastic resin molded product, more specifically to a novel method for evaluating the properties of a plastic resin molded product that can exactly derive impact resistance of practically prepared molded products, using the property measurement values by the existing ASTM.

A tool-life determination device includes: a test-workpiece supporter having a cutting tool attached thereto, rotating the cutting tool, and supporting a test workpiece disposed in a processable range of the cutting tool of a working machine that performs a process while changing a relative position between the cutting tool and a workpiece; a load sensor disposed between the test-workpiece supporter and a base of the working machine fixed to an installation surface and detecting a load applied to the test workpiece; a storage unit storing a load pattern acting on the test workpiece and detected by the load sensor when the test workpiece is processed using a new cutting tool; and a determination unit determining an abrasion status of the cutting tool by comparing the load pattern with the load acting on the test workpiece at an appropriate timing during an actual process performed on the workpiece.

A method for material lifetime evaluation includes: causing a stress or a strain to be applied to a material surface based at least on a cycle of properties over time; causing an image of the material surface to be captured as a captured image; and determining a surface strain energy density (SSED) model for the material surface based at least on the captured image. A system for material evaluation includes: a load generator configured to apply a stress or a strain to a material surface based at least on a cycle of properties over time; a sensor configured to capture an image of the material surface as a captured image; and a processor configured to determine a SSED model for the material surface based at least on the captured image. In the method and the system the captured image is correlated to the cycle of properties.

A method for determining characteristics of a crack detected in a material, comprising: determining initial mechanical loads applied to the material, applying a plurality of crack-opening mechanical loads to the material, each opening mechanical load being a linear combination of the initial mechanical loads, and measuring the relative displacement of the first point with respect to the second point induced by each opening mechanical load, applying a plurality of crack-closing mechanical loads to the material, each closing mechanical load being a linear combination of the initial mechanical loads, and measuring the relative displacement of the first point with respect to the second point induced by each closing mechanical load, and estimating the direction of the crack as a function of the amplitude of each opening and closing mechanical load applied to the material and of the measured relative displacements.

A measurement apparatus for carrying out an indentation creep test on a specimen, including a measurement control apparatus that includes a load measurement device, a constant-load compression device configured to compress a tip of a transparent indenter to a surface of the specimen, and an image capturing device configured to optically capture an image including a contact area portion which is a part of the specimen to which the load is applied by the constant-load compression device. The apparatus also includes an information processing apparatus that includes an image analysis unit configured to analyze a contact area, and a physical property value calculation unit. The physical property value calculation unit conducts linear regression with respect to a plot of a logarithmic value of the contact stress and a logarithmic value of the contact strain rate so as to determine a creep index n and creep constant k.

A method of determining a minimum wall thickness for a pipe joint for use in a subsea pipeline comprises the steps of: i) determining an internal diameter of the pipe joint; ii) determining a minimum allowable hydrostatic pressure at the depth at which the pipe joint is to be used; iii) determining a target wall thickness for the pipe joint, the target wall thickness corresponding to the internal diameter and the minimum allowable hydrostatic pressure; iv) manufacturing a plurality of preliminary pipe joints having the internal diameter and the target wall thickness; v) carrying out external pressure collapse tests resulting in data representative of the hydrostatic collapse pressures at which the plurality of preliminary pipe joints collapse; vi) determining a probability distribution corresponding to the data based on a statistical tail model derived from Extreme Value Theory; vii) determining from the probability distribution a hydrostatic collapse pressure occurring with a probability of 10.sup.5 or lower; and, viii) determining a wall thickness of the pipe joint corresponding to the internal diameter and the hydrostatic collapse pressure.

There is provided a method for estimating a hardness of a cold worked component including: preparing a test piece for hardness measurement having a dent portion of a shape corresponding to a shape of the contact surface of the punch by using a mounting base on which a test piece is mounted and a punch of which a contact surface to be in contact with the test piece is a curved surface, and compressing the test piece mounted on the mounting base using the punch; measuring hardnesses of the test piece for hardness measurement at a plurality of hardness measurement positions in a measurement direction while taking, as the measurement direction, a direction in the dent portion in which a sheet thickness changes; performing numerical analysis to calculate equivalent plastic strains of the test piece for hardness measurement, and acquiring a hardness-equivalent plastic strain curve on the basis of the hardnesses and the equivalent plastic strains at the hardness measurement positions; and specifying a hardness from the calculated value of equivalent plastic strain of an arbitrary part of the cold worked component on the basis of the hardness-equivalent plastic strain curve by performing numerical analysis to calculate a value of equivalent plastic strain of a cold worked component.

A device and computer-implemented method for determining an, in particular, micromechanical property of a material, in particular, for describing grain size dependencies, wherein a grain size-independent parameter is predefined (202), a grain size-dependent parameter being determined (204, 206) as a function of the grain size-independent parameter, and the property of the material being determined (208) as a function of the grain size-independent parameter and of the grain size-dependent parameter.

A physical property estimation device for a resin composition, which estimates a physical property of a resin composition that is manufactured by using a base polymer, a flame retardant, a flame retardant auxiliary, and other materials. The physical property estimation device is provided with a regression model building processing unit that learns by machine learning a relationship between explanatory variable data and physical property data including physical property data as an estimation target, and builds a regression model that shows a correlation between the explanatory variable data and the physical property data, and a physical property estimation processing unit that estimates the physical property of an estimation target by using the regression model. The explanatory variable data includes compound amount data of the base polymer, the flame retardant, and the flame retardant auxiliary respectively, when a physical property to be estimated by the physical property estimation processing unit is either initial elongation or initial tensile strength of the estimation target.