Mohamed, S. (2025). The benefits of using 3D CAD software to modify clothing virtual prototype. International Design Journal, 15(2), 415-426. doi: 10.21608/idj.2025.347787.1242
Shaimaa Mostafa Mohamed. "The benefits of using 3D CAD software to modify clothing virtual prototype". International Design Journal, 15, 2, 2025, 415-426. doi: 10.21608/idj.2025.347787.1242
Mohamed, S. (2025). 'The benefits of using 3D CAD software to modify clothing virtual prototype', International Design Journal, 15(2), pp. 415-426. doi: 10.21608/idj.2025.347787.1242
Mohamed, S. The benefits of using 3D CAD software to modify clothing virtual prototype. International Design Journal, 2025; 15(2): 415-426. doi: 10.21608/idj.2025.347787.1242
The benefits of using 3D CAD software to modify clothing virtual prototype
Apparel Department, Faculty of Applied Art, Helwan University
Abstract
The automated garment pattern making system plays a crucial role in increasing development efficiency and achieving a sustainable environment. In traditional methods, processes must be repeated multiple times to prepare 3D clothing samples, leading to increased time, effort, and costs. This research addresses the following questions: What is a clothing sample, what are its implementation requirements, and what are its types? How effectively does the CLO 3D program create prototype samples? How can the Gerber program be integrated with CLO 3D to produce the best garment sample? The significance of this research lies in keeping pace with technological advancements by applying the latest technologies in advanced product fields, and reducing time, effort, and cost wastage through 3D technologies instead of traditional methods. The research aims to define garment samples, their requirements, and types, maximize the benefits of 2D and 3D software for obtaining virtual garment samples, and overcome errors caused by adjusting the prototype using only the CLO 3D program. The research hypotheses involve the possibility of combining the Gerber program with CLO 3D to achieve the best garment sample, and the use of 2D and 3D software to reduce costly errors before garment execution. Two complex models were selected for the experimental work. A questionnaire containing four main axes was designed to assess the research factors and validate the hypotheses. The results were statistically analyzed using SPSS, and high evaluations of the main axes confirm the success of the research hypotheses.
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