Abstract: A prediction management system that makes a prediction regarding a material, includes: a descriptor storage unit that stores descriptors each describing a parameter regarding processing means, a structure, a property, or a performance of the material; a prediction model storage unit that stores prediction models each describing an input and output relationship among the descriptors, wherein each prediction model accepts, as an input, one of at least two of the processing means, the structure, the property, and the performance, and outputs another one thereof; a workflow storage unit that stores workflows each describing that at least two of the prediction models are connected to each other via the descriptor, wherein an output of one prediction model is accepted as an input of another prediction model; an execution unit that gives an input to each of the workflows, executes the workflow, and stores an execution result including an output result of each prediction model included in the workflow; and a processi

Abstract: A method of evaluating impact force input to a workpiece member with a laser irradiated in laser peening processing is provided. This evaluation method includes a signal acquiring step, an input function calculating step, and an evaluating step. In the signal acquiring step, a detected waveform is acquired. The detected waveform is output during the laser peening processing by an AE sensor that detects an elastic wave generated in the workpiece member. In the input function calculating step, an input function I(t) by laser irradiation is calculated. In the evaluating step, impact force is evaluated using the input function I(t) by the laser irradiation.

Abstract: A method of evaluating impact force input to a workpiece member with a laser irradiated in laser peening processing is provided. This evaluation method includes a signal acquiring step, an input function calculating step, and an evaluating step. In the signal acquiring step, a detected waveform is acquired. The detected waveform is output during the laser peening processing by an AE sensor that detects an elastic wave generated in the workpiece member. In the input function calculating step, an input function I(t) by laser irradiation is calculated. In the evaluating step, impact force is evaluated using the input function I(t) by the laser irradiation.