技术
- 分析与建模 - 数字孪生/模拟
- 基础设施即服务 (IaaS) - 虚拟私有云
适用行业
- 生命科学
- 金属
适用功能
- 产品研发
用例
- 虚拟原型与产品测试
- 虚拟现实
服务
- 硬件设计与工程服务
- 测试与认证
关于客户
Nemag BV 是一家抓斗制造商,其设计用于处理从煤炭、铁矿石到谷物、动物饲料、废金属、矿物和生物质等一系列散装物料。他们与代尔夫特理工大学 (TU Delft) 的 Dingena Schott 博士团队合作,开发了速度更快、重量更轻的新一代铁矿石抓斗。他们使用 Altair EDEM™ 散装材料仿真软件来测试和优化新设计。
挑战
Nemag BV 是一家散装物料抓斗制造商,在开发更快、更轻的新一代铁矿石抓斗方面面临着挑战。开发抓取工具的传统过程涉及构建物理原型,这是昂贵、耗时且有限的。很难预测新设计的性能,尤其是散装材料和抓斗之间的相互作用,这对性能有很大影响。传统方法不足以了解抓斗内部发生的情况。因此,代尔夫特理工大学开发了一种虚拟原型方法,用于模拟铁矿球团与抓斗的相互作用。
解决方案
代尔夫特理工大学使用 Altair EDEM™ 散装材料仿真软件对抓斗设计进行虚拟测试并预测其性能。他们开发了一种耦合器,将 EDEM 离散元法与多体动力学仿真软件结合使用,使他们能够在虚拟环境中对铁矿球团和起重机进行建模。开发了广泛的模型校准程序来考虑材料结构的相互作用。这种方法有效地捕获了物质行为和抓取行为。荷兰塔塔钢铁公司艾默伊登的联合仿真通过工业规模的测量得到了验证。然后,耦合模拟被用于创新设计过程,为抓斗和铁矿石的动态提供关键见解。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Goldcorp: Internet of Things Enables the Mine of the Future
Goldcorp is committed to responsible mining practices and maintaining maximum safety for its workers. At the same time, the firm is constantly exploring ways to improve the efficiency of its operations, extend the life of its assets, and control costs. Goldcorp needed technology that can maximize production efficiency by tracking all mining operations, keep employees safe with remote operations and monitoring of hazardous work areas and control production costs through better asset and site management.
Case Study
KSP Steel Decentralized Control Room
While on-site in Pavlodar, Kazakhstan, the DAQRI team of Business Development and Solutions Architecture personnel worked closely with KSP Steel’s production leadership to understand the steel production process, operational challenges, and worker pain points.
Case Study
Bluescope Steel on Path to Digitally Transform Operations and IT
Increasing competition and fluctuations in the construction market prompted BlueScope Steel to look toward digital transformation of its four businesses, including modern core applications and IT infrastructure. BlueScope needed to modernize its infrastructure and adopt new technologies to improve operations and supply chain efficiency while maintaining and updating an aging application portfolio.
Case Study
RobotStudio Case Study: Benteler Automobiltechnik
Benteler has a small pipe business area for which they produce fuel lines and coolant lines made of aluminum for Porsche and other car manufacturers. One of the problems in production was that when Benteler added new products, production had too much downtime.
Case Study
Continuous Casting Machines in a Steel Factory
With a very broad range of applications, steel is an important material and has been developed into the most extensive alloy in the engineering world. Since delivering high quality is absolutely crucial for steel plants, ensuring maximum productivity and the best quality production are the keys to competitiveness in the steel industry. Additionally, working conditions in steel factories are not suitable for workers to stay in for long periods of time, so manufactures usually adopt various machines to complete the steel production processes. However, the precision of these machines is often overestimated and the lack of flexibility also makes supervisors unable to adjust operating procedures. A renowned steel factory in Asia planned to improve its Distributed Control System (DCS) of furnaces as well as addressing the problem of insufficient accuracy. However, most well-known international equipment suppliers can not provide a satisfactory solution and local maintenance because the project needed new technologies to more accurately control equipment operations. By implementing Advantech’s automated monitoring and control solution, steel factories can not only improve the manufacturing processes but can also allow users to add additional functions to the existing system so as to make sure the operation runs at high efficiency.
Case Study
Automated Predicitive Analytics For Steel/Metals Industry
Asset to be monitored: Wire Compactor that produces Steel RebarCustomer Faced The Following Challenges:Dependent upon machine uptime.Pressure cylinders within the compactor fail to control compression and speed causing problems in binding the coil.Equipment failure occurs in the final stage of production causing the entire line to stop, can you say bottleneck?Critical asset unequipped with sensors to produce data.