文章摘要
激光熔覆系统能耗建模分析方法研究
Investigation on Energy Consumption Modeling Analysis Method of Laser Cladding System
投稿时间:2017-11-16  修订日期:2018-01-06
DOI:
中文关键词: 增材制造  激光熔覆  能耗模型  比能耗
英文关键词: additive manufacturing  laser cladding  energy consumption models  specific energy consumption
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位邮编
董萌萌 大连理工大学 机械工程学院 辽宁 大连 116024 116024
李 涛* 大连理工大学 机械工程学院 辽宁 大连 116024 116024
郭燕春 大连理工大学 机械工程学院 辽宁 大连 116024 
吴祖鹏 大连理工大学机械工程学院 辽宁 大连 116024 
唐梓珏 大连理工大学机械工程学院 辽宁 大连 116024 
彭世通 大连理工大学机械工程学院 辽宁 大连 116024 
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中文摘要:
      针对增材制造过程耗能机理复杂和能耗难以预测的问题,开展激光熔覆系统能耗建模分析方法的研究。根据激光熔覆系统的工作原理及能耗特性,将其分为激光发生器系统、冷却系统、机械手臂控制柜、送粉系统以及辅助系统等五部分,通过理论分析和实验规律研究得到各部分能耗模型,以及整体系统能耗模型。最后通过单道多层316L不锈钢粉的激光熔覆实验,进行了能耗模型和比能耗的分析和验证,结果表明预测结果与实验测量结果误差为1.37%和2.17%,从而验证了模型的准确性和有效性。本文提出的能耗建模分析方法可以为激光熔覆系统能耗预测、改善工艺路线、实现绿色发展等奠定理论基础,也为其他增材制造技术相关能耗研究提供了研究方法。
英文摘要:
      Aiming at the problem that the energy consumption mechanism of additive manufacturing process is complex and the energy consumption is difficult to predict, the energy consumption modeling analysis method of laser cladding system is studied. According to the working principles and characteristics of energy consumption,the laser cladding system is divided into five subsystems: laser generator system, cooling system, mechanical arm control cabinet, powder feeding system, and auxiliary system. Each subsystem energy consumption model is obtained by theoretical analysis and experimental studies. The total energy consumption model can be obtained by aggregating the five subsystem energy consumption models. Then the experiment of processing a 316L stainless steel specimen is conducted as an illustrative example. The energy consumption model and the specific energy consumption are analyzed. The results show that the errors between predictive value and real measure are 1.37% and 2.17%, which verify the validity of the model. The model can provide theoretical support for predicting laser cladding system energy consumption, improving process routes, and implementing the green development. Also, the approach proposed in the present study can be useful to studying energy consumption issues of other additive manufacturing technologies.
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