成本估算计算机辅助设计增强工具的验证研究

Apurva Patel, Joshua Ortiz, J. Summers, James L. Mathieson
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摘要

虽然DFMA(为制造和装配而设计)的基本原理在工程界被广泛接受和使用,但许多CAD环境缺乏通过提供有关设计选择导致的成本的快速反馈来解决制造问题的工具。本文介绍了一种基于实验的快速反馈工具的测试和验证,该工具可以根据设计的当前状态为用户提供基于历史的制造时间预测。设计了一个受试者之间的实验,以评估基于建模时间、零件质量和制造时间的工具对设计结果的影响。该研究的参与者包括机械工程研究生和至少有一个学期使用solidworks经验的本科生。实验包括三种建模活动和三种工具条件。参与者在不同的实验条件下完成了多达三次的实验。对收集到的数据的分析表明,使用设计工具会导致建模时间的小幅但不显著的增加。此外,该工具的使用平均减少了零件质量(受试者之间和受试者内部)。在开放式活动中,工具的使用减少了制造时间,但是当活动更多地关注于减少质量时,工具的使用增加了制造时间。参与者的反馈表明,该工具通过显示对制造时间的影响,帮助指导他们的材料去除行动。最后,讨论了该工具的潜在改进和未来扩展。
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Validation Study of a Computer-Aided Design Augmentation Tool for Cost Estimation
While fundamentals of DFMA (design for manufacturing and assembly) are widely accepted and used in the engineering community, many CAD environments lack tools that address manufacturing concerns by providing rapid feedback about costs resulting from design choices. This article presents an experiment-based testing and validation of a rapid feedback tool that provides users history-based prediction of manufacturing time based on the current state of the design. A between-subject experiment is designed to evaluate the impact of the tool on design outcomes based on modeling time, part mass, and manufacturing time. Participants in the study included mechanical engineering graduate and undergraduate students with at least one semester of experience using solidworks. The experiment included three modeling activities and three tool conditions. Participants completed up to three sessions with different experimental conditions. Analysis of the data collected shows that the use of the design tool results in a small but nonsignificant increase in modeling time. Moreover, the use of the tool results in reduced part mass on average (both between subjects and within subjects). Tool use reduced manufacturing time in open-ended activities, but increased manufacturing time when activities focus more on mass reduction. Participant feedback suggests that the tool helped guide their material removal actions by showing the impact on manufacturing time. Finally, potential improvements and future expansions of the tool are discussed.
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