森林工程2026，Vol.42Issue(1)：140-150,11.DOI:10.7525/j.issn.1006-8023.2026.01.013
木勺毛坯捆抓取柔性夹持器结构优化
Structural Optimization of Wooden Spoon Blank Bundle Gripping Flexible Gripper
摘要
Abstract
To address the low efficiency of manual water immersion and the susceptibility to damage of wooden spoon blanks in the molding process,this paper presents the design of an adaptive flexible gripper for grasping wooden spoon blank bundles.An optimized experimental design was developed using finite element analysis software.A regression pre-diction model for the gripper's strain energy was constructed using a Random Forest(RF)method optimized by a Bayes-ian optimization(BO)algorithm,termed BO-RF.Furthermore,the explainable machine learning method,SHAP(SHapley Additive exPlanations),was employed to provide both global and local interpretability analysis of the model.Based on this predictive model,a genetic algorithm(GA)was utilized to perform an optimal design of the flexible grip-per,with the conflicting objectives of maximizing the top surface strain energy and minimizing the overall strain energy.The multi-objective Pareto front was computed using the BO-RF model.Simulation results validate the effectiveness and feasibility of the proposed modeling and optimization methodology.关键词
柔性夹持器/木勺毛坯捆/有限元分析/BO-RF随机森林/SHAP分析/遗传算法/多目标优化/应变能Key words
Flexible gripper/wooden spoon blank bundle/finite element analysis/Bayesian optimization-random for-est/shapley additive explanations/genetic algorithm/multi-objective optimization/strain energy分类
信息技术与安全科学引用本文复制引用
张加成,张森,刘玉童,黄辉,赵辉..木勺毛坯捆抓取柔性夹持器结构优化[J].森林工程,2026,42(1):140-150,11.基金项目
木勺生产线上下料机械手技术开发(HKF220400021). （HKF220400021）
