Appearance inspection of machined surfaces | How to distinguish scratches, chatter, and peeling
In the inspection of machined surfaces, scratches, peeling, and discoloration are often visible in 2D, while the depth of chatter (periodic wave patterns), burr height, and differences in surface roughness require 3D analysis. The way the machined surface shines changes with gloss and grain direction, making it difficult to distinguish between normal tool marks and defects; therefore, the basic approach is to change the direction of the light when taking photographs. 【Key Points】 ■ Scratches, peeling, and discoloration are observed in 2D, while chatter and burr height are assessed in 3D. ■ The direction of the grain on the machined surface affects how it shines. ■ The distinction between normal tool marks and defects should be predetermined numerically. *For detailed explanations, please refer to the technical notes in the related links and the downloadable materials.
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**Contents of this Technical Note** - What to look for in the visual inspection of machined surfaces - The appearance of the machined surface changes with the direction of the grain - Scratches, peeling, and discoloration are 2D, while the depth of chatter and height of burrs are 3D - The approach to taking photos involves changing the direction of light and comparing them side by side - Mirror finishes, inner surfaces of holes, and scratches of the same fineness as the grain are challenging - A method to find effective lighting directions using actual machined surfaces **Consultation** I will confirm whether it can be measured or captured with the actual workpiece. Please consult with a single photo.
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The technical notes can be read by anyone from the related links. We will discuss the costs of development and testing based on the details you provide.
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【Frequently Asked Questions】 Q. Can scratches and ripples be distinguished in images? A. Scratches often appear as lines or dots, while ripples show up as periodic stripes, so they can often be distinguished by their shape. Changing the angle of the light can make it easier to tell them apart. Q. Can inspections be conducted with processing oil still on the surface? A. It can sometimes be minimized by the choice of lighting, but the amount of oil affects how it reflects light. It is necessary to check the actual condition. Q. Can roughness values be measured from images? A. Fine roughness values are best measured using methods similar to microscopy. However, the field of view is narrow, and it takes time to measure the entire surface. The measurement locations should be narrowed down according to the purpose.
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We specialize in 2D and 3D inspection and measurement technologies using cameras. We possess a wide range of knowledge in optics, mechanics, electronics, and software, enabling us to provide technical support for both hardware and software. Not only do we have personnel with experience working as researchers at image inspection device manufacturers, major electronic component manufacturers, and universities, but we also have numerous successful implementations of developed products in actual production environments, making our ability to adapt advanced technology to on-site needs a strong point. Additionally, we are skilled not only in developing proprietary algorithms but also in using off-the-shelf products such as image processing controllers from Keyence and Omron, allowing us to excel in selecting and utilizing the most suitable equipment for specific needs. In recent years, while AI technology has garnered attention, there are cases where utilizing 2D and 3D technologies can be implemented more easily than AI, and cases where optical devices and mechanical jigs can improve performance and reduce software load. We offer services related to image systems, including "equipment selection," "implementation support," "performance improvement of existing equipment," "technology development," and "joint development," so please feel free to consult with us first.












