Seeing (Infra)red for Improved Quality Control  

Oleh:

Styron, Jason

Jenis: Article from Bulletin/Magazine - ilmiah internasional
Dalam koleksi: Machine Design (Soft Copy ada dalam http://search.proquest.com/) vol. 81 no. 13 (Jul. 2009), page 64.
Topik: Automated Infrared (IR) Imaging; Products; Quality Control; Temperature

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: MM44.59 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Manufacturing and process engineers boost efficiency and cut costs by turning to machine-vision systems like automated infrared (IR) imaging. The technique is being used in a host of industrial production applications, including process monitoring and control, quality assurance, asset management, and machine-condition monitoring. In IR imaging, an infrared camera converts heat radiating from an object or scene into a visual image depicting temperature variations. In many cases, temperature readout is a direct indication of process progress or final part quality. Operators use this data to adjust processes and reject bad parts. Calibrated temperature data from IR cameras can isolate or mark bad parts for rejection.

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