CAD-Q

The proposal

High-quality parametric CAD models can be defined as 3D models that are free from geometric and topological errors, can be modified without causing regeneration errors that may hinder reusability, and properly convey design intent. In this context, low-quality models incur significant financial costs, and companies struggle to quantify their impact.

This project aims to address this gap by assessing CAD quality issues, proposing formal modeling methodologies, and developing supporting tools. Methods include qualitative and quantitative research, including user activity tracking and analysis of modeling logs. Leveraging recent research, the project seeks to define systematic strategies for creating high-quality models. Tools will be implemented to evaluate model reusability, regeneration performance, and design intent preservation.

Methodology

In order to test the postulated hypotheses, a methodology has been designed based on the objectives outlined below. First, the research team will be conducting web questionnaires and semi-structured interviews with CAD professionals to determine the scope of CAD quality-related problems in industrial settings. The research team will interpret participants’ responses, acknowledging inherent subjectivity. The project’s remaining objectives are supported by a research strategy inspired by Design Science and Action Research Methodologies. This includes analyzing existing methodologies, developing new modeling methodologies based on findings, and iteratively refining them. The selected commercial CAD systems for methodology application are DS Solidworks and Siemens NX.

Results

The CAD-Q project aims to address significant gaps in the generation of scientific-technical knowledge within the realm of 3D CAD modeling, particularly focusing on its impact on Industry 4.0 initiatives. By conducting the first international study on the economic repercussions of low-quality 3D CAD models in industrial settings, CAD-Q seeks to shed light on this critical issue.

Through qualitative and quantitative research methods, the project endeavors to provide valuable insights into the scope and magnitude of problems associated with poor CAD quality. Dissemination of findings through scientific and professional channels will raise awareness and support for further research in this field, countering misconceptions that it is a resolved issue. Moreover, CAD-Q aims to bridge the current research gap by offering formal modeling methodologies and validation frameworks for creating high-quality 3D CAD models. This information will be freely accessible to stimulate advancements in CAD technology and promote collaboration within the international research community.

Furthermore, the project aligns with the thematic priorities outlined in the State Plan for Scientific, Technical, and Innovation Research 2021-2023, focusing on digital transformation and industrial transition. By fostering collaboration with key stakeholders and industry associations, CAD-Q aims to maximize the societal and economic impact of its results, ultimately contributing to sustainable economic growth, industrial resilience, and technological innovation. Through comprehensive plans for scientific communication, internationalization, dissemination, and transfer of results, CAD-Q seeks to establish itself as a cornerstone in the field of Product Data Quality, reinforcing the international network of collaboration and promoting gender-inclusive research practices.