Research on the Optimal Design and Quality Control of Prefabricated Components and Molds
- DOI
- 10.2991/978-94-6463-650-5_10How to use a DOI?
- Keywords
- Prefabricated building; Optimal design; Revit parametric model; Quality control; Production efficiency
- Abstract
This study aims to optimize the design of molds for prefabricated building components. By utilizing Revit software, a digital parametric model encompassing both prefabricated concrete components and their corresponding molds has been established. Through precise adjustments to mold dimensions and critical design parameters, an exact alignment between the components and molds has been achieved. The findings indicate that the optimized mold design significantly elevates the quality of components, ensuring their compliance with industry-wide quality standards. Additionally, it enhances production efficiency and facilitates the rapid generation of mold drawings. Furthermore, this study contributes to advancing the level of informatization management and accelerating the industrialization process in the prefabricated building industry.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuanfang Guo AU - Bei Xiong AU - Zhenggang Yin PY - 2025 DA - 2025/01/31 TI - Research on the Optimal Design and Quality Control of Prefabricated Components and Molds BT - Proceedings of the 2024 7th International Conference on Civil Architecture, Hydropower and Engineering Management (CAHEM 2024) PB - Atlantis Press SP - 88 EP - 93 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-650-5_10 DO - 10.2991/978-94-6463-650-5_10 ID - Guo2025 ER -