会议论文详细信息
World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium - WMCAUS
Automation in the Teaching of Descriptive Geometry and CAD. High-Level CAD Templates Using Script Languages
土木建筑工程
Moreno, R.^1 ; Bazán, A.M.^2
University of Granada, Dpto. Expresión Gráfica, E.T.S. Ingeniería de Edificación, Granada
18071, Spain^1
UPM, Dpto. Ingeniería Civil, E.T.S. Ingeniería de Caminos, Canales y Puertos, Madrid
28040, Spain^2
关键词: Automated process;    Automation process;    Descriptive geometry;    Parametric geometries;    Technical drawing;    Traditional teachings;    Traditional techniques;    User intervention;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/245/6/062040/pdf
DOI  :  10.1088/1757-899X/245/6/062040
学科分类:土木及结构工程学
来源: IOP
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【 摘 要 】

The main purpose of this work is to study improvements to the learning method of technical drawing and descriptive geometry through exercises with traditional techniques that are usually solved manually by applying automated processes assisted by high-level CAD templates (HLCts). Given that an exercise with traditional procedures can be solved, detailed step by step in technical drawing and descriptive geometry manuals, CAD applications allow us to do the same and generalize it later, incorporating references. Traditional teachings have become obsolete and current curricula have been relegated. However, they can be applied in certain automation processes. The use of geometric references (using variables in script languages) and their incorporation into HLCts allows the automation of drawing processes. Instead of repeatedly creating similar exercises or modifying data in the same exercises, users should be able to use HLCts to generate future modifications of these exercises. This paper introduces the automation process when generating exercises based on CAD script files, aided by parametric geometry calculation tools. The proposed method allows us to design new exercises without user intervention. The integration of CAD, mathematics, and descriptive geometry facilitates their joint learning. Automation in the generation of exercises not only saves time but also increases the quality of the statements and reduces the possibility of human error.

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