Robotics & Machine Learning Daily News2024,Issue(Dec.2) :201-201.

New Machine Learning Findings from University of Toronto Outlined (Cfd and Predi ctive Modeling of Temperature and Calcination In a Rotary Lime Kiln - Potential for Steadier Kiln Operation)

多伦多大学的机器学习新发现概述(石灰回转窑温度和煅烧的Cfd和预测模型-稳定窑操作的潜力)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :201-201.

New Machine Learning Findings from University of Toronto Outlined (Cfd and Predi ctive Modeling of Temperature and Calcination In a Rotary Lime Kiln - Potential for Steadier Kiln Operation)

多伦多大学的机器学习新发现概述(石灰回转窑温度和煅烧的Cfd和预测模型-稳定窑操作的潜力)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习新报告。根据新闻报道NEWSRX记者在加拿大多伦多发起了一项研究,研究称:“石灰回转窑用于制浆造纸工业将石灰泥煅烧成石灰。石灰窑模型提供了一种理解窑内出现的复杂现象,有助于在操作过程中解决问题。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Toronto, Canada, by N ewsRx journalists, research stated, “Rotary lime kilns are used in thepulp and paper industry to calcine lime mud to lime. Lime kiln models provide a means to understand thecomplex phenomena occurring within the kiln to aid in problem-sol ving during operation.”

Key words

Toronto/Canada/North and Central Ameri ca/Computational Fluid Dynamics/Cyborgs/Emerging Technologies/Fluid Mechanic s/Machine Learning/University of Toronto

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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