Surface characterization of die inserts used for LED lamp plastic lenses
| Autor: | Antoine Tahan, Ali Aidibe, Mohammad Jahazi, Sylvain G. Cloutier, Mojtaba Kamali Nejad |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Surface (mathematics)
business.product_category Materials science 02 engineering and technology Surface finish engineering.material 01 natural sciences Industrial and Manufacturing Engineering 010309 optics Diamond cutting Optics 0203 mechanical engineering 0103 physical sciences Sensitivity (control systems) Insert (composites) business.industry Mechanical Engineering Diamond Computer Science Applications 020303 mechanical engineering & transports Control and Systems Engineering Principal component analysis engineering Die (manufacturing) business Software |
| Zdroj: | The International Journal of Advanced Manufacturing Technology. 88:3395-3403 |
| ISSN: | 1433-3015 0268-3768 |
| DOI: | 10.1007/s00170-016-9038-x |
| Popis: | The main objective of this paper is to investigate the effect of material characteristics and manufacturing processes on the surface textures of diamond cut inserts used for injected plastic optics in lighting applications. An overview of surface texture measurement is presented followed by an experimental procedure developed on 18 different die insert samples. A list of profile (2D) and areal (3D) surface texture measurement parameters characterizing the surface of the different samples is presented. The results of the analysis show that the average absolute roughness Ra, which is commonly used in industry, is not the only parameter representing the surface texture and is not a reliable discriminator for different types of surface textures. By using a principal component analysis technique, a list of significant parameters is proposed for a more accurate characterization of the surfaces resulting from different high precision diamond cutting processes. It is shown that the proposed parameters can be considered as optimum descriptors of the condition of the surface in diamond cutting and are those that show the greatest sensitivity to process variables. |
| Databáze: | OpenAIRE |
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