Physical properties of transparent optical polymers Dissertation

Physical properties of transparent optical polymers - Dissertation Example substituted ethylenic) copolymer (Weber, 2003). Structural units of most of these polymers are given in the figure 5.2. Fig. 5.2: Structural units of common optical polymers (Martienssen and Warlimont, 2006). Because of the variations in structure, the properties such as refractive index, thermal stability, etc. vary among the different polymers (Losch et al., 1992). The properties of certain optical polymers (PC, PMMA, and ADC in comparison to glass are shown in figure 5.3. Fig. 5.3: Comparison of physical properties of glass and optical polymeric plastics – PC, PMMA and ADC (Optical Polymers International, 2010). This chapter describes and compares the physical properties of common optical polymers. The following physical properties will be discussed further: 1. ... The scattering loss of these materials is low and their refractive indices are controllable (Jones, 1997). This allows their fabrication into waveguide structures. 5.2.1. Comparison of Refractive Index The refractive index of most transparent polymeric materials is around 1.5. As these are carbon based, their refractive indices and dispersion are very different from crystals and glasses (Weber, 2003). Polyetherimide (PEI) has a refractive index higher than most other optical polymers. Other polymers with high refractive indices include polyarylsulfone, polyarylate, PC, and PS. PMMA has a refractive index of 1.491. The refractive indices of some common polymers are shown in table 5.1. The refractive index of ADC is 1.50, which compares well with that of glass. Polymer Refractive index PEI 1.658 Polyarylsulfone 1.651 Polyarylate 1.61 PS 1.590 PC 1.586 SAN 1.579 CR-39 1.504 PMMA 1.491 TPX 1.466 Table 5.1: Refractive indices of common polymeric materials. The refractive index of a polyme r is influenced by the polarizability, free volume and the difference between the maximum absorption wavelength and optical wavelength of the material (Ma et al., 2002). The higher the density and the polarizability of the material, the higher will be its refractive index. Various other polymeric materials have been used in optical focusing mechanisms. These include polyimides (PI), fluoropolymers (FP) such as Tedlar ® PVF, Tefzel ® ETFE, and Teflon ® FEP, and hydrocarbon polymers (HCP) like polyvinylbutyral (PVB). Among the fluoropolymers, the lowest index of refraction is that of Teflon FEP, which is completely fluorinated (French et al., 2011). It is observed that as the amount of

An audit of coded data Assignment Example | Topics and Well Written Essays - 3750 words

An audit of coded data - Assignment Example This report details the results of an audit of coder A data based on a set of reference data containing the correct inputs as present in Coder B data. This is to determine the accuracy of coding data, with the audit being in line with the prescriptions of the ACBA, or the Australian Coding Benchmark Audit. The basic method consists of analyzing coder A data for variances with the reference data as provided in coder B. Coder B data is correct, against which the accuracy of coder A data is vetted against. This is the fundamental method. The use of 40 records for the audit is in line with the ACBA prescription for audit sample size to be able to make a good assessment of the quality of the coding. The present research has identified that the ACBA audit process, in theory, is a convenient, practical and effective process for identifying coding error sources, not only from the coder side, but also from the wider system side, and in so doing allow for a more comprehensive view of the sourc es of and potential mitigations for the correction of coder and process/system mistakes in the coding process. ACBA in other words also shores up the reliability of coded data, by tracing coding mistakes in a comprehensive and systematic fashion. ACBA also makes it easier to understand that the coding process and coding mistakes that follow from certain coding processes can be as much a source of coding error as human error.