Towards artificial intelligence at scale in the chemical industry

In the Industry 4.0 era, the chemical industry is embracing broad adoption of artificial intelligence (AI) and machine learning (ML) methods. This article provides a holistic view of how the industry is transforming digitally towards AI at scale. First, a historical perspective on how the industry used AI to aid humans in better decision-making is shown. Then state-of-the-art AI research addressing industrial needs on reliability and safety, process optimization, supply chain, material discovery, and reaction engineering is highlighted. Finally, a vision of the plant of the future is illustrated with critical components of AI-ready culture, model life cycle management, and renewed role of humans in chemical manufacturing.     

Implementation of Multimodel-Based PID and Intelligent Controller for Simulated and Real-Time Temperature Control of Injection Molding Machine

The proposed real-time multimodel for the injection molding process mainly contributes to the barrel temperature control. Good control of the plastic melt temperature is very important for injection molding in reducing the operator setup time, ensuring product quality, and preventing thermal degradation of the melt. The controllability and set points of the barrel temperature also depend on the precise monitoring and control of the plastic melt temperature. Motivated by the practical temperature control of injection molding, this article proposes a multimodel-based proportional integral derivative (PID) control scheme in real-time and the simulation studies of the PID, fuzzy, and adaptive neuro fuzzy inference system (ANFIS) control schemes. The injection molding process consists of three zones, and the mathematical model for each zone is different. The control output for each zone controller is assigned a weight, based on the computed probability of each model, and the resulting action is the weighted average of the control moves of the individual zone controller.     

曲轴油孔电化学倒角去毛刺专机设计构思

利用电解加工原理对发动机曲轴的主轴颈及连杆颈上的油孔倒角去毛刺,是一项高效、优质的先进加工工艺,专机设计采用了以加工单元为基础的模块化设计方案,尤其适合于发动机产品的系列化及大批量生产的要求。     

上胶机微机控制系统的研制

描述了用8031单片机对国产上胶机控制系统进行改造的硬件和软件设计以及采取的控制方法。信号的采集、滑差电动机的控制、干扰的抑制、防抖动与防溢出的处理、数字滤波和快速动态调节等措施、保证了系统能够安全可靠地工作。上胶机微机控制系统已投入现场运行。     

关于物料在前置分级装置筛面上运动轨迹的研究

本文用计算机数值解法解决了物料在旋振筛筛面上的运动轨迹的理论分析问题,并对一些现行的观点提出了新的见解。     

热风烘茧机的温湿度分布初探

本文通过对热风烘茧机内各层的温湿度测定和干茧检验,弄清温湿度分布情况,并讨论了它对干燥均匀程度,干茧质量的影响,为进一步改进烘茧机,提高烘茧质量提供参考.     

一个英汉机器翻译实验系统的设计

在分析目前国内外机器翻译系统的技术和方法的基础上,本文提出了适合于以电力科技英语为翻译对象的英汉机器翻译实验系统的设计方法,即以定子句语法和格语法为基础进行算法设计。利用人工智能语言 PROLOG 加以实现。     

全基本电机的通用特性方程

本文首先提出了“全基本电机的通用特性方程”,在此基础上导出了直流电机的通用特性方程、同步电机的通用特性方程和异步电机的通用特性方程;利用这三个通用特性方程,并结合每种基本电机的特性,即可推导出所有基本电机的许多特性方程,这就解决了所有基本电机的非线性定量化问题。     

经济型CNC车床闭环控制的插补软件

针对目前以步进电机驱动的经济型CNC车床开环控制系统存在的主要问题,提出了一种闭环控制方法,使零件的轮廓精度得到提高。     

精密力源多维模糊控制的探讨

针对比对式测力机源系统力值自动调节中存在参数变化的变速扰动环节和滞后量变化的滞后环节,从而给自动调节带来很大难度的问题,采用多维模糊模型进行预测和采用多维模糊控制作为调节的算法。有效地消除了扰动和滞后的影响,实现了高精度的力值调节控制。