The invention relates to a system (10) adapted to measure multiple biophysical characteristics of cells, the system (10) comprising: a microfluidic chip (12) provided with a microfluidic channel (14) which allows cells to flow through, the microfluidic channel (14) having an inlet (14a), an outlet (14b), and a lateral opening (14c) situated between the inlet (14a) and the outlet (14b); and a capacitive sensor (30) integrated in the microfluidic chip, adapted to obtain biophysical characteristics of a single cell in the microfluidic channel (14) by directly manipulating the single cell by sensor elements (31, 32) through the lateral opening (14c) of the microfluidic channel (14), the sensor (30) comprising a stationary part and an electrostatically driven movable part which is movable relative to the stationary part, the stationary part being fixed to the microfluidic chip (12), the movable part being arranged in the lateral opening (14c) of the microfluidic channel (14), wherein a portion of the sensor elements (31, 32) provides an interface between fluid and air in the system.

The invention relates to a system (10) adapted to measure multiple biophysical characteristics of cells, the system (10) comprising: a microfluidic chip (12) provided with a microfluidic channel (14) which allows cells to flow through, the microfluidic channel (14) having an inlet (14a), an outlet (14b), and a lateral opening (14c) situated between the inlet (14a) and the outlet (14b); and a capacitive sensor (30) integrated in the microfluidic chip, adapted to obtain biophysical characteristics of a single cell in the microfluidic channel (14) by directly manipulating the single cell by sensor elements (31, 32) through the lateral opening (14c) of the microfluidic channel (14), the sensor (30) comprising a stationary part and an electrostatically driven movable part which is movable relative to the stationary part, the stationary part being fixed to the microfluidic chip (12), the movable part being arranged in the lateral opening (14c) of the microfluidic channel (14), wherein a portion of the sensor elements (31, 32) provides an interface between fluid and air in the system.

A material evaluation device includes one or more memories; and one or more processors coupled to the one or more memories and the one or more processors configured to: store a certain number of hysteresis curves that, with respect to a change in a first physical quantity of N times at least one of a plurality of positions of a material, each represents a change in a second physical quantity of each time, the N being an integer equal to or greater than 2, extract points extracted by scanning each of the N hysteresis curves with a value of the second physical quantity for at least one of the plurality of positions, generate one-dimensional information regarding the second physical quantity by arraying the extracted points, and acquire a physical property value of the material by using the generated one-dimensional information.

A material evaluation device includes one or more memories; and one or more processors coupled to the one or more memories and the one or more processors configured to: store a certain number of hysteresis curves that, with respect to a change in a first physical quantity of N times at least one of a plurality of positions of a material, each represents a change in a second physical quantity of each time, the N being an integer equal to or greater than 2, extract points extracted by scanning each of the N hysteresis curves with a value of the second physical quantity for at least one of the plurality of positions, generate one-dimensional information regarding the second physical quantity by arraying the extracted points, and acquire a physical property value of the material by using the generated one-dimensional information.

A method of evaluating a residual stress including a condition setting step of setting a processing condition of water jet peening for a processing target; an analysis step of analyzing a jet flow when a fluid is injected from a nozzle model to a processing target model in accordance with the processing condition, and obtaining a void fraction which is a volume fraction of babbles contained in a unit volume of the fluid, and a collapse fraction, which is a volume fraction of the bubbles which collapse in a unit time in the unit volume of the fluid, at each position on a surface of the processing target model; an impact pressure correlation value calculating step of obtaining an impact pressure correlation value, which is a product of the void fraction and the collapse fraction at each position; an experimental value acquisition step of obtaining an impact pressure experimental value.

A method for predicting a multiaxial fatigue life. The method includes: obtaining a first temperature rise value of a to-be-tested material in a first cycle; determining first inherent dissipation energy of the to-be-tested material in the first cycle according to the first temperature rise value and a time constant; and determining the multiaxial fatigue life of the to-be-tested material according to a first proportional value, the first inherent dissipated energy, axial fatigue test parameters and torsional fatigue test parameters; the first proportional value is a ratio of an axial strain amplitude to a torsional strain amplitude of a multiaxial fatigue test, the axial fatigue test parameters are configured to represent an axial fatigue resistance of the to-be-tested material, and the torsional fatigue test parameters are configured to represent a torsional fatigue resistance of the to-be-tested material.

A method for predicting a multiaxial fatigue life. The method includes: obtaining a first temperature rise value of a to-be-tested material in a first cycle; determining first inherent dissipation energy of the to-be-tested material in the first cycle according to the first temperature rise value and a time constant; and determining the multiaxial fatigue life of the to-be-tested material according to a first proportional value, the first inherent dissipated energy, axial fatigue test parameters and torsional fatigue test parameters; the first proportional value is a ratio of an axial strain amplitude to a torsional strain amplitude of a multiaxial fatigue test, the axial fatigue test parameters are configured to represent an axial fatigue resistance of the to-be-tested material, and the torsional fatigue test parameters are configured to represent a torsional fatigue resistance of the to-be-tested material.

The present invention relates to alternating stress fatigue testing equipment. The alternating stress fatigue testing equipment includes a pedestal on which linear guide rails are arranged; a deflection loading device which is arranged on the pedestal and configured to, in response to a clamped to-be-measured object being driven to slide to a first position, enable the to-be-measured object to be bent to a target degree and keep the to-be-measured object after the to-be-measured object is bent to the target degree, wherein the deflection loading device is rotatably connected to the to-be-measured object; two hinged shaft supports which are arranged on the linear guide rails, wherein the hinged shaft supports are symmetrically arranged about a longitudinal center line of the deflection loading device, connected to both ends of the to-be-measured object respectively, and configured to be adjusted obliquely to adapt to the bending of the to-be-measured object to the target degree.

A method of displaying stress distribution on a sample surface includes: step S4 of capturing images of the sample surface before loading, during the loading, and after unloading; step S5 of measuring a first strain amount for each pixel position based on correlation between the image before the loading and the image after the unloading; step S6 of measuring a second strain amount for each pixel position based on correlation between the image before the loading and the image during the loading; step S7 of calculating stress for each pixel position based on the difference between the first strain amount and the second strain amount; and step S8 of displaying the distribution of the calculated stress at each pixel position.

The present disclosure relates to an information processing device, an information processing method, and a program for enabling more accurate prediction of a crack to be made. A model acquisition unit acquires a structure model M.sub.D from a model generation unit, an external device (not illustrated), or the like. Amplitude load energy A in an element E0 having no cracks is set on the basis of a relationship between an equivalent stress σ and an equivalent elastic strain ε experimentally obtained according to a material constituting the element E0. Since the equivalent elastic strain ε depends on a crack variable φ, the amplitude load energy A is expressed as a function of the crack variable φ. A crack prediction unit predicts a crack to be generated in a structure D by calculating a differential equation having a term proportional to the amplitude energy. The present disclosure can be applied to, for example, a crack prediction device that predicts a crack.