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作 者:庹军波 王晓 张贤明[1] 刘培基[3] TUO Junbo;WANG Xiao;ZHANG Xianming;LIU Peiji(Engineering Research Center for Waste Oil Recovery Technology and Equipment,Ministry of Education,Chongqing Technology and Business University,Chongqing 400067,China;College of Mechanical Engineering,Chongqing Technology and Business University,Chongqing 400067,China;State Key Lab of Mechanical Transmission,Chongqing University,Chongqing 400044,China)
机构地区:[1]重庆工商大学废油资源化技术与装备教育部工程研究中心,重庆400067 [2]重庆工商大学机械工程学院,重庆400067 [3]重庆大学机械传动国家重点实验室,重庆400044
出 处:《组合机床与自动化加工技术》2023年第9期44-47,共4页Modular Machine Tool & Automatic Manufacturing Technique
基 金:国家自然科学基金项目(52005065,52105507);重庆市教育委员会科学技术研究项目(KJQN20190813);重庆工商大学科学研究项目(CTBU1956057)。
摘 要:针对当前FDM3D打印切片过程中对轮廓路径的规划易陷入路径长度局部最优而导致能耗增加的问题,提出了一种面向低碳节能的轮廓路径规划方法。首先,根据FDM 3D打印多轮廓的打印顺序建立了轮廓路径的数学描述模型;然后,结合遗传算法收敛速度快与模拟退火算法能够接受较差解的优势,建立了基于遗传模拟退火算法的轮廓路径规划方法,包括:确定各轮廓几何中心并将其视作算法的初始点集合,通过遗传模拟退火算法求解各轮廓几何中心的最优连接路径,基于该路径确立各轮廓的打印起始点等步骤;最后,文章通过案例研究验证了所提方法的可行性。Aiming at the problem that the contour path planning in the current slicing process of FDM 3D printing tends to fall into the local optimal path length,which leads to increased energy consumption,a contour path planning method for low-carbon and energy-saving was proposed.Firstly,the mathematical description model of contour path was established according to the printing sequence of multi-contour in FDM 3D printing.Then,combining the advantages of the fast convergence speed of the genetic algorithm and the ability of the simulated annealing algorithm to accept poor solutions,a contour path planning method based on the genetic simulated annealing algorithm(GSAA)is established.It includes:Determine the geometric center of each contour and regard it as the initial point set of the algorithm;Genetic simulated annealing algorithm is used to solve the optimal connection path of geometric centers of each contour;The starting point of printing of each profile is established based on the path,etc.Finally,a case study verifies the feasibility of the proposed method.
关 键 词:FDM3D打印 低碳节能 路径规划 遗传模拟退火算法
分 类 号:TH165[机械工程—机械制造及自动化] TG659[金属学及工艺—金属切削加工及机床]
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