| 注册
首页|期刊导航|木材科学与技术|基于木材纹理-力学性能协同优化的实木家具零部件排料方法研究

基于木材纹理-力学性能协同优化的实木家具零部件排料方法研究

朱正坤 康小燕 肖粲 王孜豪

木材科学与技术2026,Vol.40Issue(2):80-87,8.
木材科学与技术2026,Vol.40Issue(2):80-87,8.DOI:10.12326/j.2096-9694.2025120

基于木材纹理-力学性能协同优化的实木家具零部件排料方法研究

Allocation Method of Solid Wood Furniture Components Based on Collaborative Optimization of Wood Texture and Mechanical Properties

朱正坤 1康小燕 1肖粲 2王孜豪3

作者信息

  • 1. 江西环境工程职业学院,江西 赣州 341000||江西省林业局木竹家具绿色制造重点实验室,江西 赣州 341000
  • 2. 江西环境工程职业学院,江西 赣州 341000||中南林业科技大学材料与能源学院,湖南 长沙 410004
  • 3. 江西铂源家具有限公司,江西 赣州 341000
  • 折叠

摘要

Abstract

To address the problem of low wood utilization rate and difficulty in balancing the mechanical properties of components during the cutting process of solid wood furniture,an improved genetic algorithm that integrates a texture-mechanics mapping model and a dynamic segmentation strategy was proposed.The method quantifies the relationship between wood grain direction and component bending strength,incorporating this mechanical performance indicator into the fitness function of the improved genetic algorithm.Bézier curves were applied for contour fitting and dynamic computer numerical control path planning to enable high-precision and efficient processing of specially shaped components.Furthermore,an adaptive mutation operator was introduced to balance global exploration and local optimization capabilities.Experiments results based on actual enterprise panel and components data demonstrated that,compared to manual allocation,commercial software and a standard genetic algorithm,the improved genetic algorithm increased the wood utilization rate to 92.3%,achieved a grain orientation matching rate of 95.2%,and improved the average component flexural strength by 17.6%(P<0.01),and controls the algorithm convergence time within 8.2 minutes,meeting production requirements.The ablation experiment further verified the necessity and collaborative effect of each module in the improved genetic algorithm.This research provided a feasible solution for achieving efficient resource utilization and collaborative optimization of product performance in the cutting process of solid wood furniture.

关键词

实木家具/异形零部件/遗传算法/木材纹理/力学性能/优化排料/智能制造

Key words

solid wood furniture/irregular component/genetic algorithm/wood grain/mechanical properties/allocation optimization/smart manufacturing

分类

轻工纺织

引用本文复制引用

朱正坤,康小燕,肖粲,王孜豪..基于木材纹理-力学性能协同优化的实木家具零部件排料方法研究[J].木材科学与技术,2026,40(2):80-87,8.

基金项目

江西省现代家具产业创新联合体项目"江西省实木家具全屋定制发展现状、趋势及关键技术需求"(JXJJLHT202302). (JXJJLHT202302)

木材科学与技术

2096-9694

访问量0
|
下载量0
段落导航相关论文