Provided are material testing devices and methods for measuring certain physical properties of materials, such as for example, drying, curing, film formation, friction, adhesion, print resistance, and scratch resistance. The testing device includes a platform, a stylus comprising a probe, an angle sensor, a linear position sensor, a control system with a power supply and a control center which may be programmed with testing parameters.

A method of predicting joining strength of joined dissimilar materials, includes performing a joining strength test on a plurality of specimens of joined dissimilar materials each having different joining information, and acquiring force-displacement data on a basis of the joining information; constructing, in a prediction system, an artificial neural network model for predicting the force-displacement data and the joining strengths from the joining information; learning the artificial neural network model by inputting the force-displacement data to the prediction system, the force-displacement data obtained through the joining strength test; inputting joining information to be predicted to the prediction system by using a computer running a software for performing prediction for the joining strength and connected to a host computer of the prediction system through a network; and predicting, by the learned artificial neural network model, force-displacement value and joining strength.

Provided is a battery grid pellet adhesion/cohesion strength tester that can accurately determine the push-out strength of a battery grid pellet by measuring the binding of the active material to the battery grid during the pasting and curing process. A programmable test stand and force gage are used with a selectable active material punching tool fixture and a set of selectable set of grid location pins. Active material from a lead-acid battery is forced out of the battery grid at a programmed feed rate with the force gage reporting precise force measurements for each battery grid pellets adhesion/cohesion strength. The inventive device can be utilized as a quality control measure following the battery pasting and curing process, which will ensure that consistent and uniform adhesion/cohesion has occurred during battery manufacture, thereby avoiding battery premature performance failure.

Provided is a battery grid pellet adhesion/cohesion strength tester that can accurately determine the push-out strength of a battery grid pellet by measuring the binding of the active material to the battery grid during the pasting and curing process. A programmable test stand and force gage are used with a selectable active material punching tool fixture and a set of selectable set of grid location pins. Active material from a lead-acid battery is forced out of the battery grid at a programmed feed rate with the force gage reporting precise force measurements for each battery grid pellets adhesion/cohesion strength. The inventive device can be utilized as a quality control measure following the battery pasting and curing process, which will ensure that consistent and uniform adhesion/cohesion has occurred during battery manufacture, thereby avoiding battery premature performance failure.

Disclosed are a method using a sequential contact analysis of a nano-asperity in order to predict an adhesion force between two contacting surfaces and a recording medium recording a program. According to an exemplary embodiment, the method may include: receiving surface roughness data of each of the two target objects; modeling a rough surface based on the surface roughness data; computing an adhesion force value when the two target objects contact and a deformation value of the first nano-asperity; determining whether a next contact is established; iteratively performing the computing and the determining when the deformation value of the first nano-asperity is larger than the separation distance of the next nano-asperity; and determining that a next contact is not established and computing and outputting force adhesion force in a final contact situation, when the deformation value of the first nano-asperity is smaller than the separation distance of the next nano-asperity.

Disclosed are a method using a sequential contact analysis of a nano-asperity in order to predict an adhesion force between two contacting surfaces and a recording medium recording a program. According to an exemplary embodiment, the method may include: receiving surface roughness data of each of the two target objects; modeling a rough surface based on the surface roughness data; computing an adhesion force value when the two target objects contact and a deformation value of the first nano-asperity; determining whether a next contact is established; iteratively performing the computing and the determining when the deformation value of the first nano-asperity is larger than the separation distance of the next nano-asperity; and determining that a next contact is not established and computing and outputting force adhesion force in a final contact situation, when the deformation value of the first nano-asperity is smaller than the separation distance of the next nano-asperity.

A method and system for selecting chemical reagents in measurement of asphalt surface energy are provided. The method includes: selecting different chemical reagents and obtaining contact angle values formed between the respective chemical reagents and asphalt slides; obtaining asphalt surface energy parameters corresponding to each of combinations of the chemical reagents according to the contact angle values; obtaining variation coefficients of the asphalt surface energy parameters corresponding to each of the combinations of the chemical reagents and selecting a group of combinations of the chemical reagents according to the variation coefficients; and obtaining numbers of abnormal values of asphalt surface energy components in the group of combinations of the chemical reagents and obtaining a target combination of the chemical reagents according to the numbers of the abnormal values. The combination of the chemical reagents with high stability of testing data can be selected by using the method.

A method and system for selecting chemical reagents in measurement of asphalt surface energy are provided. The method includes: selecting different chemical reagents and obtaining contact angle values formed between the respective chemical reagents and asphalt slides; obtaining asphalt surface energy parameters corresponding to each of combinations of the chemical reagents according to the contact angle values; obtaining variation coefficients of the asphalt surface energy parameters corresponding to each of the combinations of the chemical reagents and selecting a group of combinations of the chemical reagents according to the variation coefficients; and obtaining numbers of abnormal values of asphalt surface energy components in the group of combinations of the chemical reagents and obtaining a target combination of the chemical reagents according to the numbers of the abnormal values. The combination of the chemical reagents with high stability of testing data can be selected by using the method.

A testing method of thermal barrier coating (TBC) is for evaluating the presence or absence of damage to TBC formed on a bending part on which compression stress acts. The method includes a test piece that includes a pair of arm parts, a bending part arranged between the pair of arm parts, and a TBC layer on a bending surface of the bending part; attaching the test piece to a compression testing device after preparing the test piece; and applying compression stress to the test piece in a direction for bringing the pair of arm parts close together after attaching the test piece with the compression testing device. The pair of arm parts are arranged so as to separate from each other from base end portions toward front end portions of the arm parts. The bending part is arranged between the base end portions.

A method of conducting a shear strength test on a semiconductor element with improved pressing force direction includes pressing a peripheral surface of the semiconductor element with a shear tool in a direction inclined to gradually head away from the surface of the substrate along the direction of pressing to conduct a shear strength test with a die shear strength tester.