Automated Assessment Tool for 3D Computer-Aided Design Models

Author:

Eltaief Ameni1ORCID,Ben Amor Sabrine1ORCID,Louhichi Borhen2ORCID,Alrasheedi Nashmi H.2,Seibi Abdennour3

Affiliation:

1. LMS, ISSATSo, University of Sousse, Sousse 4000, Tunisia

2. Department of Mechanical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia

3. Department of Engineering, Utah Valley University, 800 W University Pkwy, Orem, UT 84058, USA

Abstract

Computer-aided design (CAD) has become an integral part of engineering education, particularly for those studying mechanical engineering. By providing practical skills that are highly valued in the engineering industry, proficiency in CAD systems enhances students’ employability. Generally, CAD systems provide students with the tools and knowledge necessary to excel in their engineering education and future careers. In order to help teachers to give the best training to their students and to make the right evaluations, an automatized tool is needed to support the evaluation of CAD models during training sessions. After an extensive bibliographical search, this paper proposes a CAD Model Automatized Assessment (MAA) Tool for mechanical courses called the CAD MAA Tool. This tool is mainly based on a developed model that takes into account different aspects of modeling, such as geometric, feature-based, and parametric modeling. To correctly evaluate a given part compared to a reference one, the proposed model uses different coefficients fixed by the teacher according to their teaching strategies or course objectives.

Funder

Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University

Publisher

MDPI AG

Reference38 articles.

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3. Osada, R., Funkhouser, T., Chazelle, B., and Dobkin, D. (2002, January 7–11). Matching 3D Models with Shape Distributions. Proceedings of the International Conference on Shape Modeling and Applications, Genova, Italy.

4. Ohbuchi, R., Otagiri, T., Ibato, M., and Takei, T. (2002, January 9–11). Shape-Similarity Search of Three-Dimensional Models Using Paramterized Statistics. Proceedings of the Pacific Graphics, Beijing, China.

5. Elinson, A., Nau, D.S., and Regli, W.C. (1997, January 14–16). Feature-based Similarity Assessment of Solid Models. Proceedings of the 4th ACM Symposium on Solid Modeling and Applications, Atlanta, GA, USA.

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