Dimensional Chain Calculation and Tolerance Analysis
Tolerance is the allowable variation in the geometric dimensions of part features. Tolerance design runs through design, manufacturing, and assembly, and is key to ensuring products are manufactured with excellent quality and lower cost.
公差是零件特征几何尺寸的允许变化量,公差设计贯穿了设计、制造及装配,是保证产品以优异的质量和较低的成本进行制造的关键。
-
Focusing on the front end of product design, precision planning and virtual validation are carried out simultaneously based on 3DCC 3D dimensional chain calculation and tolerance analysis software. It supports direct reading of original files from mainstream CAD platforms such as CATIA and UG, with automatic recognition of PMI information and mapping to the simulation environment, eliminating repetitive modeling steps.
Core calculations are based on the Monte Carlo algorithm. Through tens of thousands of virtual assembly iterations, it simulates dimensional variation patterns under actual working conditions, with simulation accuracy consistently above 95%. The built-in AI intelligent annotation module can automatically generate key tolerance recommendations, and deep learning algorithms automatically construct assembly constraints based on model features, significantly reducing human trial-and-error costs. The software supports dual-track parallel operation of virtual point modeling and MBD, flexibly adapting to rapid validation needs in the early concept stage of products.
Analysis outputs include contribution ranking, tolerance zone distribution charts, and CPK achievement rate assessment, supplemented by dual verification using the extreme value method and statistical method. Designers can use these to precisely locate tolerance-sensitive links and relax non-critical tolerances while ensuring assembly function, achieving the optimal balance between quality and cost.
- 聚焦产品设计前端,基于3DCC三维尺寸链计算及公差分析软件,同步开展精度规划与虚拟验证。支持与CATIA、UG等主流CAD平台的原文件直读,PMI信息自动识别并映射至仿真环境,省去重复建模环节。
- 核心计算基于蒙特卡洛算法,通过数万次虚拟装配迭代,模拟实际工况下的尺寸波动规律,仿真准确度稳定在95%以上。内置的AI智能标注模块可自动生成关键公差建议,深度学习算法根据模型特征自动构建装配约束,显著降低人为试错成本。软件支持虚拟点建模与MBD双轨并行,灵活适配产品早期概念阶段的快速验证需求。
- 分析输出包含贡献度排序、公差带分布图及CPK达成率评估,辅以极值法与统计法双重校验。设计人员可据此精准定位公差敏感环节,在保证装配功能的前提下放宽非关键公差,实现质量与成本的最优平衡。
CAT Case
- Chinese: 本作品属于www.caefea.com原创,版权归www.caefea.com所有,严禁商用,如果您有任何问题,请联系info@caefea.com,谢谢。
- English: The information is original and copyrighted by www.caefea.com. Commercial use is strictly prohibited. If you have any questions, please contact us info@caefea.com Thank you.
- Spanish: Este producto es original de digitaltwiall.com, todos los derechos de autor digitalwinall.com, solo para uso privado. si tiene alguna pregunta, Póngase en contacto con nosotros. info@caefea.com , gracias.
- French: Ce produit est original digitaltwiall.com, copyright digitaltwiall.com, pour un usage privé uniquement, contactez – nous pour toute question info@caefea.com Merci.
- Arabic: هذا المنتج هو digitaltwiall.com الأصلي ، حقوق الطبع والنشر digitalwinall.com للاستخدام الخاص فقط ، إذا كان لديك أي استفسار ، يرجى الاتصال بنا info@caefea.com شكرا.
- German: Dieses Werk ist original und urheberrechtlich geschützt von www.caefea.com. Kommerzielle Nutzung ist strengstens untersagt. Wenn Sie Fragen haben, kontaktieren Sie uns bitte info@caefea.com Danke.
- Russian: Этот продукт для digitaltwiall.com Оригинал, авторские права Digitalwinall.com, только для частного использования, если у вас есть вопросы, пожалуйста, свяжитесь с нами info@caefea.com Спасибо.
- Japanese: 本作品はwww.caefea.comオリジナルで、著作権はwww.caefea.comの所有であり、商用は厳禁です。何か問題があれば、連絡してくださいinfo@caefea.comあ、ありがとう。
- Korean:이 작품은 www.caefea.com 오리지널에 속하며 저작권은 www.caefea.com 소유이며 상업용이 금지되어 있습니다. 문제가 있으면 연락 주십시오.info@caefea.com고맙습니다.
- Italy:Questo lavoro è originale e protetto da copyright da www.caefea.com. L’uso commerciale è severamente vietato. Se avete domande, vi preghiamo di contattarci info@caefea.com Grazie.
- Indonesian:Pekerjaan ini adalah asli dan hak cipta oleh digitalttwinall.com. Penggunaan komersial sangat dilarang. Jika Anda memiliki pertanyaan, silakan hubungi kami info@caefea.com Terima kasih. Terima kasih.
- Vietnamese:Tác phẩm này thuộc về www.caefea.com gốc và bản quyền thuộc về www.caefea.com, thương mại bị nghiêm cấm, nếu bạn có bất kỳ câu hỏi nào, vui lòng liên hệ info@caefea.com Cảm ơn.


