相关实验视频

Updated: Jul 8, 2025

Surrogate Model Development for Digital Experiments in Welding

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

基于人工神经网络的预测建模框架:纳米粉混合放电机械加工的一个案例

Muhammad Sana¹, Muhammad Umar Farooq², Saqib Anwar³

¹Department of Industrial and Manufacturing Engineering, University of Engineering and Technology, Lahore 54890, Pakistan.

|December 14, 2023

概括

本研究介绍了一个人工智能框架,以提高制造业的生产率,并实现净零目标. 该框架优化了Inconel 617的电放电加工,显著提高了材料去除率和表面表面.

科学领域:

制造业工程制造工程
人工智能在制造业中的应用
工业4.0 工业4.0 工业4.0 工业4.0 工业4.0 是什么?

背景情况:

工业4.0需要通过数字化提高生产力,质量和资源利用.
在制造业实现净零排放方面存在差距,需要先进的框架.
人工智能 (AI) 提供了优化复杂工业流程的潜力.

研究的目的:

建立一个全面的分析框架,以缓解制造业的研究和技术差距.
将基于人工智能的建模和优化纳入制造系统.
为了优化材料去除率 (MRR) 和表面粗度 (SR) 在Inconel 617 (IN617) 的电放电加工 (EDM) 中.

主要方法:

基于人工智能的通用分析框架的开发.
应用EDM实验的全因数设计.
使用人工神经网络 (ANN) 进行建模和超参数调整,通过外部测试和灵敏度分析 (SA) 验证.

主要成果:

在EDM中确定粉末度 (Cp) 为MRR (79.00%) 和表面活性剂度 (Sc) 为SR (36.86%) 的最重要的因素.
与实验数据相比,实现了参数优化,显示MRR的改善为93.75%和SR的改善为58.90%.
敏感性分析揭示了MRR和SR的关键影响因素.

结论:

拟议的AI框架有效优化了制造流程,通过EDM案例研究证明了这一点.
该框架成功地提高了材料去除率和表面处理,从而有助于提高工业效率.
开发的AI框架显示了在各种制造系统中广泛应用的潜力.

关键词:

人工智能的人工智能是人工智能.人工神经网络的人工神经网络在Inconel 617中使用.材料去除率材料去除率参数优化的参数优化在粉末中混合EDM.灵敏度分析是一种灵敏度分析.

更多相关视频

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

Environmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants

Environmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants

Published on: March 1, 2019

相关概念视频

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

Simplified Synchronous Machine Model

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...

Wind Turbine Machine Models

Wind Turbine Machine Models

In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...