【電磁技術(shù)在線】【電機(jī)篇】- 3. 多物理DOE（Process Composer）
講師：Christian Kremers
00：00 內(nèi)容介紹
02：30 電機(jī)總體設(shè)計(jì)流程
03：45 電機(jī)CAD
04：30 第一階段
CATIA 電機(jī)CAD->Abaqus分析機(jī)械特性, CAD->CST powerby 分析電磁特性
07：30 結(jié)構(gòu)和應(yīng)力分析
09：30 電磁和力矩分析 (DQ, 動(dòng)態(tài)特性，渦流損耗，退磁）
16：00 DOE優(yōu)化
18：00 結(jié)果和數(shù)據(jù)分析
21：10 第二階段 demo
CST 電機(jī)FMU模型->Dymola系統(tǒng)控制->電流波形->CST 電機(jī)損耗和效率圖
24：30 電機(jī)終端繞組如何仿真
27：00 第三階段
CST 電機(jī)損耗->熱力學(xué)管理， CST 集總力->噪聲和振動(dòng)分析
電機(jī)設(shè)計(jì)流程：
噴油霧仿真：
水冷仿真：
噪聲和振動(dòng)仿真
The electric drive constitutes a critical component for the electrification of vehicles and hence the electro-mobility strategy. A complex system in its own right, the electric drive needs to be integrated into both the electric powertrain and the full vehicle. Gaining early insights into system interdependencies using Model-Based Systems Engineering (MBSE) is key to achieving the best possible performance for competing design objectives. It enables tight integration of design and simulation activities, including connecting system simulation with physics simulation.
Multiphysics simulation enables engineers to predict and verify the system performance across multiple design objectives and in all possible operating scenarios. However, many of the disciplines are competing and finding the best trade-offs is a challenge. The teams need a collaborative environment which allows them to optimize designs by simultaneously taking into account thermal and mechanical requirements, electromagnetic performance, durability, noise and vibration control, as well as lubrication requirements.
Dassault Systèmes offers best-in-class solutions for electric drive engineering within a collaborative environment.
更多內(nèi)容：https://www.3ds.com/products-services/simulia/solutions/transportation-mobility/electric-drive-engineering/
