一种新的基于云的半导体芯片外壳增材制造技术

IF 0.6 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
S. Viswanath, S. Siddharth, Jeyanthi Subramanian
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引用次数: 1

摘要

多年来,特别是在COVID-19大流行期间,对非接触式快速制造的需求有所增加。增材制造(AM)是一种快速制造,是一种基于计算机的精确制造产品的系统。当与基于云的制造(CBM)集成时,它被证明是一个更快、更便宜、更高效的生产系统。同样,对半导体的需求在过去五年中呈指数级增长。由于种种原因,一些公司无法满足日益增长的需求。其中一个主要原因是由于COVID-19协议而缺乏劳动力。本文提出了一种快速制造半导体芯片的新技术。一种算法集成了云、机器视觉、传感器和电子邮件访问,以实时反馈进行监控,并在出现异常情况时纠正制造过程。一些实时数据(如性能图、剩余时间和其他当前信息)可以根据需要发送回给用户。建立了优化沉积参数的实验。实验成功实施,说明了基于云的增材制造的优势。©
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Cloud-Based Additive Manufacturing Technique for Semiconductor Chip Casings
The demand for contactless, rapid manufacturing has increased over the years, especially during the COVID-19 pandemic. Additive manufacturing (AM), a type of rapid manufacturing, is a computer-based system that precisely manufactures products. It proves to be a faster, cheaper, and more efficient production system when integrated with cloud-based manufacturing (CBM). Similarly, the need for semiconductors has grown exponentially over the last five years. Several companies could not keep up with the increasing demand for many reasons. One of the main reasons is the lack of a workforce due to the COVID-19 protocols. This article proposes a novel technique to manufacture semiconductor chips in a fast-paced manner. An algorithm is integrated with cloud, machine vision, sensors, and email access to monitor with live feedback and correct the manufacturing in case of an anomaly. Several real-Time data such as performance graphs, time left, and other current information were sent back to the user on demand. An experiment was set up to optimize deposition parameters. The experiment was successfully executed and stated the advantage of cloud-based AM. ©
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来源期刊
SAE International Journal of Materials and Manufacturing
SAE International Journal of Materials and Manufacturing TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.30
自引率
12.50%
发文量
23
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