Design for Additive Manufacturing (DFAM) applied in the manufacture of Master Sample for the automotive industry

汽车工业 制造工程 样品(材料) 工艺工程 工程类 化学 色谱法 航空航天工程
作者
Lucas Aurélio Stelziner Fischer,José Aguiomar Foggiatto,Paulo Victor Prestes Marcondes,Sérgio Fernando Lajarin
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture [SAGE]
卷期号:239 (1-2): 96-103 被引量:4
标识
DOI:10.1177/09544054241230571
摘要

In order to supply auto parts to the automotive industry the companies must meet all Advanced Product Quality Planning (APQP) requirements. One of the biggest difficulties in obtaining the approval of the APQP is in the preparation of the “Master Sample,” which will be used for the validation of jigs, production, and dimensional control devices. The procedures for manufacturing Master Samples through conventional manufacturing processes are outdated, slow, and cost-effective, which goes against the concepts of Industry 4.0. Therefore, this work aims to propose a procedure for Design for Additive Manufacturing (DFAM) that analyzes the feasibility and systematizes the manufacture of Master Sample through Additive Manufacturing (AM). Two model parts were submitted to the procedure, manufactured by AM and validated as Master Samples. In this work, a comparative analysis between the parts produced conventionally and those produced by AM showed that the time and costs in order to obtain the Master Samples using the proposed procedure was significantly shorter. The reduction in time to obtain Master Samples speeds up the evaluation and validation of control devices from suppliers, can speed up the acquisition of APQP documentation and reduce the time in the development of the serial parts by manufacturing process. Furthermore, the use of the proposed DFAM procedure is innovative in the context of the automotive industry, as it suggests a change in the production concept and inserts AM as another option in the manufacturing process and not just as a rapid prototyping tool.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
文静萤发布了新的文献求助10
3秒前
安详的琳完成签到 ,获得积分10
4秒前
benoit发布了新的文献求助10
5秒前
三橋gzzzzz发布了新的文献求助10
6秒前
7秒前
Green完成签到,获得积分10
8秒前
9秒前
AI_Medical完成签到,获得积分10
10秒前
12秒前
淑婷发布了新的文献求助10
12秒前
桐桐应助gx采纳,获得10
12秒前
科研通AI6应助迷路的映安采纳,获得10
12秒前
12秒前
14秒前
16秒前
一点通完成签到,获得积分10
16秒前
文静萤完成签到,获得积分10
16秒前
三明治发布了新的文献求助10
17秒前
吃花生酱的猫完成签到,获得积分10
17秒前
heli完成签到,获得积分10
17秒前
量子星尘发布了新的文献求助10
18秒前
巫青丝发布了新的文献求助10
18秒前
Czerkingsky完成签到,获得积分10
20秒前
夏青发布了新的文献求助10
21秒前
yare完成签到,获得积分20
21秒前
所所应助核桃采纳,获得10
22秒前
大模型应助核桃采纳,获得10
22秒前
汉堡包应助核桃采纳,获得10
22秒前
传奇3应助核桃采纳,获得10
23秒前
科研通AI6应助核桃采纳,获得10
23秒前
嘟噜嘟噜应助核桃采纳,获得10
23秒前
Ava应助核桃采纳,获得10
23秒前
23秒前
科研通AI6应助核桃采纳,获得10
23秒前
成绩好发布了新的文献求助10
23秒前
搜集达人应助KK采纳,获得10
23秒前
Owen应助山水之乐采纳,获得10
25秒前
26秒前
小马甲应助核桃采纳,获得30
28秒前
在水一方应助核桃采纳,获得10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Alloy Phase Diagrams 1000
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 871
Synthesis and properties of compounds of the type A (III) B2 (VI) X4 (VI), A (III) B4 (V) X7 (VI), and A3 (III) B4 (V) X9 (VI) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5422137
求助须知:如何正确求助?哪些是违规求助? 4537021
关于积分的说明 14155837
捐赠科研通 4453620
什么是DOI,文献DOI怎么找? 2442999
邀请新用户注册赠送积分活动 1434403
关于科研通互助平台的介绍 1411439