Optimi-ation of Manufacturing Process for Thin-Walled Structures Based on Cold Metal Transfer

doi:10.7652/xjtuxb201908011

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Optimi-ation of Manufacturing Process for Thin-Walled Structures Based on Cold Metal Transfer

更新时间：2025-07-09

- Optimi-ation of Manufacturing Process for Thin-Walled Structures Based on Cold Metal Transfer
- Vol. 53, Issue 8, Pages: 82-89(2019)
- 作者机构：
  
  1. 北京工业大学机械工程及应用电子技术学院,北京,100124
  2. 北京工业大学汽车结构部件先进制造技术教育部工程研究中心,北京,100124
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201908011
  CLC： TG47
- Online First：10 August 2019，
  
  Published：2019
- 稿件说明：
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Optimi-ation of Manufacturing Process for Thin-Walled Structures Based on Cold Metal Transfer[J]. 2019, 53(8): 82-89.
DOI：

Optimi-ation of Manufacturing Process for Thin-Walled Structures Based on Cold Metal Transfer[J]. 2019, 53(8): 82-89. DOI： 10.7652/xjtuxb201908011.

摘要

针对传统薄壁结构制造方法中的工序流程烦琐、制造的零件性能不均一或成形精度低等问题

提出采用冷金属过渡工艺(CMT)直接成形薄壁构件的工艺方法

并对工艺参数进行优化。该方法以单壁墙为研究对象

构建以送丝速度、单位长度焊缝的金属熔敷量为输入变量、熔敷层宽度和宽高比为输出变量的3D响应面模型

进而对成形几何特征进行预测; 研究电弧长度和焊枪行走角对熔敷过程及最终成形形貌的影响; 采用高速摄像机拍摄熔滴过渡行为并分析过渡特征

阐述工艺参数对成形形貌的作用机理

进行典型薄壁结构件的优化制造。实验结果表明

几何特征预测模型精度较高

误差小于5%; 采用-15%的弧长修正值能够改善成形

避免侧边驼峰缺陷的产生; 当焊枪行走角达到10°时

能够明显改善单壁墙上表面和侧壁成形精度; 推角熔敷极易产生驼峰缺陷

因此不适用于增材制造。

Abstract

The CMT technology is adopted to directly fabricate thin-walled parts and the process parameters are optimi-ed to overcome the shortcomings of complex procedure and uneven performance or low accuracy of the fabricated part in the traditional manufacturing process. Thin-walled parts are taken as research objects to establish a 3D response surface model with the wire feed speed and the ratio of wire feed speed to welding gun travel speed as input variables

and the layer width and the ratio of layer width to height as output variables to predict the geometry features of the parts. The effects of the arc length and the gun travel angle on deposition procedure and finally formed shape are studied. The behaviour and characteristics of the transfer are analy-ed by using a high speed camera

and the action mechanisms of the process parameters on formed shape are described. Experimental results show that the accuracy of the geometric feature prediction model is higher and its prediction error

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references

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