Robotics & Machine Learning Daily News2024,Issue(Jul.3) :109-110.

Data from Technical University Munich (TU Munich) Advance Knowledge in Machine L earning (Porosity Prediction In Laser-based Powder Bed Fusion of Polyamide 12 Us ing Infrared Thermography and Machine Learning)

来自慕尼黑工业大学(慕尼黑理工大学)的数据先进的机器学习知识(聚酰胺12激光粉末床熔融的孔隙率预测,红外热成像和机器学习)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :109-110.

Data from Technical University Munich (TU Munich) Advance Knowledge in Machine L earning (Porosity Prediction In Laser-based Powder Bed Fusion of Polyamide 12 Us ing Infrared Thermography and Machine Learning)

来自慕尼黑工业大学(慕尼黑理工大学)的数据先进的机器学习知识(聚酰胺12激光粉末床熔融的孔隙率预测,红外热成像和机器学习)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-机器学习的新数据在一份新的报告中呈现。根据NewsRx Edi Tors在德国Garching的新闻报道,研究表明,“实现聚合物激光粉末床熔敷的精确控制对于确保航空航天和汽车部件的结构完整性至关重要。使用过程监控技术的闭环反馈控制系统,如红外热成像,有可能通过控制熔敷温度提供可靠的生产。”这项研究的财政支持来自Projekt DEAL。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting out of Garching, Germany, by NewsRx edi tors, research stated, “Achieving precise control in laser-based powder bed fusi on of polymers is crucial for ensuring the structural integrity of aerospace and automotive components. Closed-loop feedback control systems using process monit oring techniques, such as infrared thermography, have the potential to provide r eliable production by controlling the temperature of the melt.” Financial support for this research came from Projekt DEAL.

Key words

Garching/Germany/Europe/Automobiles/Cyborgs/Emerging Technologies/Machine Learning/Transportation/Technical Univ ersity Munich (TU Munich)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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