A weld bead footprint locus model for predicting the overlap of weld beads in wire arc additive manufacturing

IF 6.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING Journal of Manufacturing Processes Pub Date : 2024-09-06 DOI:10.1016/j.jmapro.2024.08.063
{"title":"A weld bead footprint locus model for predicting the overlap of weld beads in wire arc additive manufacturing","authors":"","doi":"10.1016/j.jmapro.2024.08.063","DOIUrl":null,"url":null,"abstract":"<div><p>Weld bead models are crucial in the process planning phase for wire arc additive manufacturing. By simulating the overlap between weld beads, the toolpath can be optimized to obtain a high-quality production process. The creation of datasets covering all possible combinations of process parameters and boundary conditions is hindered by a high and costly experimental effort. Accurate and numerically efficient modelling approaches that can be derived from simple and cost-effective experimental campaigns are needed. This article introduces a new weld bead footprint model to address this challenge. The proposed footprint locus model is used to predict the weld bead footprint, which is afterwards used to predict the weld bead shape. A calibration procedure is introduced, which allows for calibrating the model parameters for a reference situation. The geometrical interpretation of the model parameters is exploited for estimating how they should change when welding parameters or boundary conditions different from the nominal ones are used. The model is validated with experimental data and compared to a baseline model derived from assumptions commonly found in the literature. The deposition of two parts produced with different processing conditions could be predicted with an error inferior to 2% the deposited height.</p></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":null,"pages":null},"PeriodicalIF":6.1000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1526612524008958/pdfft?md5=f98f0ae988a1425b21d0b57f5a0f45f9&pid=1-s2.0-S1526612524008958-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Processes","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1526612524008958","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0

Abstract

Weld bead models are crucial in the process planning phase for wire arc additive manufacturing. By simulating the overlap between weld beads, the toolpath can be optimized to obtain a high-quality production process. The creation of datasets covering all possible combinations of process parameters and boundary conditions is hindered by a high and costly experimental effort. Accurate and numerically efficient modelling approaches that can be derived from simple and cost-effective experimental campaigns are needed. This article introduces a new weld bead footprint model to address this challenge. The proposed footprint locus model is used to predict the weld bead footprint, which is afterwards used to predict the weld bead shape. A calibration procedure is introduced, which allows for calibrating the model parameters for a reference situation. The geometrical interpretation of the model parameters is exploited for estimating how they should change when welding parameters or boundary conditions different from the nominal ones are used. The model is validated with experimental data and compared to a baseline model derived from assumptions commonly found in the literature. The deposition of two parts produced with different processing conditions could be predicted with an error inferior to 2% the deposited height.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于预测线弧快速成型制造中焊珠重叠的焊珠足迹定位模型
焊缝模型在线弧快速成型制造的工艺规划阶段至关重要。通过模拟焊珠之间的重叠,可以优化工具路径,从而获得高质量的生产工艺。要创建涵盖所有可能的工艺参数和边界条件组合的数据集,需要进行大量昂贵的实验工作。我们需要从简单、经济的实验活动中得出精确、高效的数值建模方法。本文介绍了一种新的焊珠足迹模型来应对这一挑战。所提出的焊缝足迹定位模型用于预测焊缝足迹,然后用于预测焊缝形状。文章介绍了一种校准程序,可根据参考情况校准模型参数。利用对模型参数的几何解释,可以估算出当使用与标称参数不同的焊接参数或边界条件时,模型参数应如何变化。该模型通过实验数据进行了验证,并与根据文献中常见的假设推导出的基准模型进行了比较。可以预测在不同加工条件下生产的两个零件的沉积情况,误差小于沉积高度的 2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Manufacturing Processes
Journal of Manufacturing Processes ENGINEERING, MANUFACTURING-
CiteScore
10.20
自引率
11.30%
发文量
833
审稿时长
50 days
期刊介绍: The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.
期刊最新文献
Achieving high thermal conductivity joining of Cf/C and Haynes 230 by using Cu-Mo30Cu-Ti composite foil as thermal interface material Examining the impact of tool taper angle in Al-Si tube manufacturing by friction stir extrusion A theoretical calculation method for asymmetric active counter-roller spinning force by combining strain electrical measurement and simulation Laser powder bed fusion processing of plasma atomized AlSi10Mg powder: Surface roughness and mechanical properties modification Control of hole rolling on 3D Servo Presses
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1