Learning Materials Development of Parametric Curves and Surfaces for Modeling the Objects Using Maple on Differential Geometry Courses
- 10.2991/acsr.k.220202.025How to use a DOI?
- Development; Learning materials; Curves and surfaces; Modeling; Parametric formulas; Maple
Modeling industrial objects needs the formulas of curves and surfaces to construct a precise shape of real goods and simulate some process of form creations. For this reason, the study of the equations of curves and surfaces for objects modeling is essential for resulting in a required shape and feature of the goods. This study aims to enhance the instructional materials of differential geometry for fourth-semester college students. Learning materials help students to be able to design a real object using some parametric formulas of curves and surfaces with the software Maple. The method of research is as follows. (a) Instructional materials design for constructing objects; (b) Formulations and evaluations of graphs for goods modeling; (c) Modeling and simulating to realize these items. The research found some instructional materials and parametric formulas of curves and surfaces to equip students to design and evaluate real objects and home industry goods. The use of Maple can help them to present the graphs and the simulation process. The contributions of this study support the students to learn autonomously and creatively with their knowledge, technological skills, and experiences in implementing some differential geometry formulas (especially the curves and surfaces) for designing objects using the Maple tool.
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Kusno AU - Abduh Riski PY - 2022 DA - 2022/02/08 TI - Learning Materials Development of Parametric Curves and Surfaces for Modeling the Objects Using Maple on Differential Geometry Courses BT - Proceedings of the International Conference on Mathematics, Geometry, Statistics, and Computation (IC-MaGeStiC 2021) PB - Atlantis Press SP - 125 EP - 132 SN - 2352-538X UR - https://doi.org/10.2991/acsr.k.220202.025 DO - 10.2991/acsr.k.220202.025 ID - 2022 ER -