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Technical Paper

The Auto-Generation of Calibration Guides from MATLAB® Simulink®

2019-03-19
2019-01-1332
With the inception of model-based design and automatic code generation, many organizations are developing controls and diagnostics algorithms in model-based development tools to meet customer and regulatory requirements. Advances in model-based design have made it easier to generate C code from models and help software engineers streamline their workflow. Typically, after the software has been developed, the models are handed over to a calibration team responsible for calibrating the features to meet specified customer and regulatory requirements. However, once the models are handed over to the calibration team, the calibration engineers are unaware of how to calibrate the features because documentation is not available. Typically, model documentation trails behind the software process because it is created manually, most of this time is spent on formatting. As a result, lack of model documentation or up-to date documentation causes a lot of pain for OEM’s and Tier 1 suppliers.
Journal Article

Analysis of E-85 Fuel for Formic, Acetic, Propionic, Butyric, Glycolic and Citric Acids using Reversed Phase High Performance Liquid Chromatography

2008-10-06
2008-01-2509
An HPLC (High Performance Liquid Chromatography) method to measure the concentration of six organic acids in E-85 fuel has been developed. A three point calibration curve is established using standard solutions of the following organic acids: formic acid, acetic acid, propionic acid, butyric acid, glycolic acid and citric acid. An internal standard (maleic acid) is used to monitor HPLC system suitability and peak retention time stability. The method utilizes UV detection at 210 nm to detect and quantify the levels of each acid in E-85 fuel. Test results from nine commercially available E-85 fuel samples are reported. Analytical method validation was achieved by performing and confirming system suitability or injection repeatability (percent relative standard deviation ≤ 3%), calibration curve linearity (R2 ≥ 0.999), analysis repeatability (standard deviation < 1 mg/L) and recovery (percent recovery 91 - 102%).
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