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) 背景(考古学) 质量(理念) 计算机科学 快速成型 生产(经济) 过程(计算) 工业工程 工程类 机械工程 操作系统 认识论 哲学 宏观经济学 航空航天工程 古生物学 经济 化学 生物 色谱法
作者
Lucas Aurélio Stelziner Fischer,José Aguiomar Foggiatto,Paulo Victor Preste Marcondes,Sérgio Fernando Lajarin
出处
期刊:Research Square - Research Square
标识
DOI:10.21203/rs.3.rs-1792868/v1
摘要

Abstract 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 to obtain the approval of the APQP is in the preparation of the “Master Sample”, which will be used for 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 The procedures for manufacturing Master Samples through conventional manufacturing processes are outdated, slow and cost-effective, which goes against the concepts of Industry 4.0.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
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
Zhai发布了新的文献求助10
刚刚
称心夏彤完成签到,获得积分10
刚刚
1秒前
1秒前
2秒前
陈亮完成签到,获得积分10
2秒前
72101394发布了新的文献求助10
3秒前
哈里鹿呀完成签到,获得积分20
5秒前
打打应助敏er好学采纳,获得10
5秒前
7秒前
哈里鹿呀发布了新的文献求助10
8秒前
9秒前
10秒前
我是老大应助吐司采纳,获得10
11秒前
平淡雪枫发布了新的文献求助10
12秒前
北北发布了新的文献求助10
13秒前
爱笑的访梦完成签到,获得积分10
15秒前
dara997发布了新的文献求助10
16秒前
xixi发布了新的文献求助10
16秒前
17秒前
我是老大应助北北采纳,获得30
18秒前
零添加完成签到 ,获得积分10
19秒前
19秒前
ZSB完成签到,获得积分10
20秒前
万能图书馆应助张芙瑶采纳,获得10
21秒前
21秒前
顺利毕业完成签到 ,获得积分10
21秒前
吐司完成签到,获得积分10
21秒前
xhm发布了新的文献求助10
22秒前
科目三应助sususu采纳,获得10
22秒前
24秒前
25秒前
jj发布了新的文献求助10
26秒前
景木游发布了新的文献求助10
26秒前
可爱的函函应助kersen采纳,获得10
29秒前
风铃发布了新的文献求助10
29秒前
fat完成签到,获得积分10
30秒前
31秒前
chuan发布了新的文献求助10
31秒前
赘婿应助左右的左采纳,获得10
34秒前
高分求助中
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
The Elgar Companion to Consumer Behaviour and the Sustainable Development Goals 540
The Martian climate revisited: atmosphere and environment of a desert planet 500
Images that translate 500
Transnational East Asian Studies 400
Towards a spatial history of contemporary art in China 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3844610
求助须知:如何正确求助?哪些是违规求助? 3387017
关于积分的说明 10547192
捐赠科研通 3107611
什么是DOI,文献DOI怎么找? 1711877
邀请新用户注册赠送积分活动 824223
科研通“疑难数据库(出版商)”最低求助积分说明 774638