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The fluorescent magnetic particle inspection is widely used as a visual inspection method for checking cracks generated in hardening and grinding of induction-hardened parts. However, automation of this inspection process has strongly been demanded, due to poor environmental conditions and production line speed. To satisfy such a demand, we have developed a method for picking up images of automotive parts with higher S/N ratio and an original algorithm for image processing which helps measure cracks accurately without being affected by the illuminance and magnetic particle solution concentration. Then we selected the front axle shaft as the object to study practical use and have solved various technical problems in actual use, thereby succeeding in actual application to our production lines.

In contrast to the sensory inspection conventionally performed on the firing bench during final assembly, a technology in which quality inspections are distributed throughout the engine assembly line by using an electric motor to drive the engine, has been developed. Through this process, combustion conditions can be quantitatively tested by component, and leak test conditions can be optimized. Consequently, defects can be detected and their causes identified at an early stage of assembly, thus accelerating the feedback of information to the appropriate process. The result, a level of product quality that is higher than through the conventional means.