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    Writing Engineering Abstracts(46)

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    :(+)

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    (1 of 2) (+) The FJP method originatedfrom the demand for miniaturized optical elements in recentyears and the inability of the conventional polishing methodcan not satisfy the fabrication requirements of thoseelements. The FJP method facilitates the removal of

    nanometer deep material, subsequently correcting errors inthe optical elements. However, the FJP method fails tocomply with the requirement of a higher pressure, i.e. >6bar, to pump the slurry in order to remove the material ofelements. Additionally, the shape that the FJP produces on

    the surface is not the Gaussian distribution, thus making itextremely difficult to more accurately control formcorrection. Therefore, this work itroduces a modifiedFJP method to ensure not only that the shape is close toGaussian distribution with a low pressure air source, butalso that the resolution of material removal should be small

    and stable.

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    (2 of 2) Slurry is carried with low air pressure, based on use ofsiphonic and laminar flow theories. The Gaussian shape is thenachieved by using a nozzle different from the conventional one,in which both air and slurry passed through simultaneously. Next,fine resolution of material removal is obtained by optimization ofthe slurry concentration and air pressure. Simulation results indicate that the modified FJP methodproduces stable material removal less then 50 nm deep by using1~2 bar air pressure source and the new nozzle. Via themodified FJP method, small optical elements can be fabricated

    using accurate mater ia l removal . Furthermore, the enhanced capability of material removal canfabricate precise optical elements, ultimately improving theperformance of an optical system.

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    (1 of 2) (+) Extensively adopted in the opto-electronics industry for producing polymer optical elements such ascondenser lens, light pipe, lens array, and Fresnel lens for mobiledevices, injection molding technology varies the temperature andpressure in a polymer-based mold to reduce the number of shrinkagedefects in products. The conventional means of optimizing process

    parameters is inaccurate owing to its reliance on the subjectiveexperience of an operator to eliminate shrinkage defects in products.Shrinkage can vary based on the polymer material, geometricalconfiguration of the part, subsequently explaining the complexity of theshrinkage phenomenon and the difficulty in eliminating shrinkage faults.Therefore, this work describes a novel injection molding methodthat can accurately estimate shrinkage defects during productmanufacturing by estimating the shrinkage rate of a product part andpre-compensation of the mold cavity via simulation, ultimately reducingshrinkage defects in products and streamlining the manufacturingprocess.

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    (2 of 2) Shrinkage of wafer products is reduced based on moldshrinkage compensation. The shrinkage compensation rates forvarious materials are then determined via computer-aidedengineering (CAE) simulation. Next, compensation dimensionsof shrinkage and injection molding process parameters are

    optimized by performing CAE simulations repeatedly.Additionally, design is simplif ied and manufacturing timesignificantly lowered by using those compensation rates, whichare stored in a database made available for engineers. Analysis results indicate that the proposed injectionmolding method streamlines product design by decreasing the

    shrinkage rate of defective products to less than 2%. Importantly, the proposed method ensures pre-compensation of the mold part, ultimately ensuring highprecision in the manufacturing of exterior injection mold parts.

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