基于多机协同的复杂建筑装饰形态设计与打印研究OA
Complex architectural decoration form design and printing based on multi-machine collaboration
建筑装饰领域复杂化形态需求快速增长,传统建模设计、加工等手段存在设计周期长、加工成本高及效率低下等问题,难以满足高效制造需求.因此,研究提出基于多机协同的复杂建筑装饰形态设计与打印模型.通过引入混沌反向学习策略的鲸鱼优化算法,实现形态美学与结构安全的协同优化.在此基础上结合粒子群优化算法动态分配多打印机任务,并依托蚁群算法规划打印路径.实验显示,研究提出的设计优化算法可快速降低设计成本与设计时间.同时,研究提出的模型设备利用率最高达92.23%、材料利用率最高可达90.03%,平均任务重分配率仅为1.04%,显著优于对比模型,可为复杂建筑装饰高效制造提供技术支撑.
The demand for complex architectural decoration forms is growing rapidly.Traditional modeling design,processing and other methods have problems such as long design cycles,high processing costs and low efficiency,which are difficult to meet the requirements of efficient manufacturing.Therefore,we proposed a design and printing model for complex architectural decoration forms based on multi-machine collaboration.The study introduced the whale optimization algorithm with chaotic reverse learning strategy to achieve the collaborative optimization of form aesthetics and structural safety.On this basis,the particle swarm optimization algorithm was used to dynamically allo-cate tasks to multiple printers,and the ant colony algorithm was used to plan the printing path.Experiments show that the design optimization algorithm proposed can quickly reduce design cost and time.Meanwhile,the equipment utili-zation rate of the proposed model reaches up to 92.23%,the material utilization rate reaches up to 90.03%,and the average task re-allocation rate is only 1.04%,which is significantly better than the compared model and can provide technical support for efficient manufacturing of complex architectural decoration.
刘夏;丁一
合肥职业技术学院 建筑工程学院,安徽 合肥 236000湖北师范大学 人工智能与计算机学院,湖北 黄石 435000
信息技术与安全科学
多机协同建筑装饰形态设计3D打印
multi-machine collaborationarchitectural decorationform design3D printing
《苏州科技大学学报(自然科学版)》 2026 (2)
79-84,6
安徽省高等学校自然科学研究项目(2022AH052240)安徽省高等学校人文社会科学研究项目(2024AH053157)
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