Training Engineers in the Use of Constraints to Create Quality 2D Profiles for 3D Models

Historically, di erent strategies utilized in engineering and technical graphics reect growing concern about improvement in CAD instruction and the introduction of product quality data in curricular activities. Our vision was that early introduction of quality criteria through "good practices" is feasible and increases the quality, robustness, and reliability of CAD models. This paper describes a strategy applied to improve the knowledge of novice CAD users on the use of geometric constraints in 2D parametric pro les. This approach consists of supplementing student training with activities in order to provide rapid and e ective feedback. A Chi-Squared Test was performed to assess the e ectiveness of this strategy, indicating that trainees need continuous and additional autonomous learning to create quality 2D parametric pro les. Future work will include developments to promote student awareness of the need for quality in 3D models using an online checker that acts as a lter of semantic quality errors while providing feedback.

[1]  Manuel Contero,et al.  A Case Study on the Use of Model Quality Testing Tools for the Assessment of MCAD Models and Drawings , 2017 .

[2]  Manuel Contero,et al.  Implementation of Adaptable Rubrics for CAD Model Quality Formative Assessment , 2016 .

[3]  Manuel Contero,et al.  On the Role of Geometric Constraints to Support Design Intent Communication and Model Reusability , 2019, Computer-Aided Design and Applications.

[4]  Jami J. Shah,et al.  Parametric and Feature-Based CAD/CAM: Concepts, Techniques, and Applications , 1995 .

[5]  Nathan W. Hartman,et al.  Integrating Constraint Based Cad Into An Introductory Engineering Graphics Course: Activities And Grading Strategies , 2003 .

[6]  C. González-Lluch,et al.  Are we training our novices towards quality 2D profiles for 3D models , 2019 .

[7]  Carmen González Lluch.  CAD 3D con SolidWorks® Tomo I: Diseño básico , 2013 .

[8]  Manuel Contero,et al.  Web-Based System for Adaptable Rubrics: Case Study on CAD Assessment , 2017, J. Educ. Technol. Soc..

[9]  Basilio Ramos Barbero,et al.  Learning CAD at university through summaries of the rules of design intent , 2017 .

[10]  A. E. Tshibalo.  The potential impact of computer-aided assessment technology in higher education , 2008 .

[11]  Keith Alan Hekman,et al.  AUTOMATED GRADING OF FIRST YEAR STUDENT CAD WORK , 2013 .

[12]  Holly K. Ault,et al.  Solid Modeling Strategies – Analyzing Student Choices , 2014 .

[13]  Manuel Contero,et al.  Parametric CAD modeling: An analysis of strategies for design reusability , 2016, Comput. Aided Des..

[14]  Steven Joseph Kirstukas.  Development and Evaluation of a Computer Program to Assess Student CAD Models , 2016 .

[15]  Manuel Contero,et al.  Approach for developing coordinated rubrics to convey quality criteria in MCAD training , 2015, Comput. Aided Des..

[16]  Holly K. Ault,et al.  Using Geometric Constraints to Capture Design Intent , 1999 .

[17]  Manuel Contero,et al.  A survey on 3D CAD model quality assurance and testing tools , 2016, Comput. Aided Des..

[18]  Manuel Contero,et al.  Product data quality and collaborative engineering , 2002, IEEE Computer Graphics and Applications.

[19]  Manuel Contero,et al.  On the effects of the fix geometric constraint in 2D profiles on the reusability of parametric 3D CAD models , 2018, International Journal of Technology and Design Education.

[20]  Holly K. Ault,et al.  A Comparison of Manual vs. Online Grading for Solid Models , 2013 .