Parabolic blending (PB) is one of the important topics in applied mathematics and computer graphics. The use of generalized parabolic blending (GPB) for different scenarios adds flexibility to the polynomial. Overhauser (OVR) elements is a special case in GPB (r=0.5, s=0.5). GPB can also be used in estimation. In this study, data obtained from thickness distribution of a 3mm thick high impact polystyrene product after thermoforming using a mold was used for data estimation. For this purpose, software has been developed. The software development steps and formula usages are explained. Using the developed software, polynomials for GPB and default PB (OVR) were created. The data set was compared with the y values produced by the polynomials for certain x values. At the end of the research, it was determined that the results obtained from the GPB were 0.1728 percent more accurate than the data obtained from the PB for the default values.
Generalized parabolic blending computer graphics visualization software development thickness distribution
Primary Language | English |
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Subjects | Software Engineering, Software Testing, Verification and Validation, Software Engineering (Other) |
Journal Section | Articles |
Authors | |
Publication Date | December 31, 2022 |
Submission Date | May 27, 2022 |
Acceptance Date | November 18, 2022 |
Published in Issue | Year 2022Volume: 5 Issue: 3 |
The papers in this journal are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License