技术
- 分析与建模 - 数字孪生/模拟
适用行业
- 建筑物
- 建筑与基础设施
适用功能
- 产品研发
- 质量保证
用例
- 添加剂制造
- 制造过程模拟
服务
- 系统集成
- 测试与认证
关于客户
Schiebel Group 是一家无人机系统 (UAS) 制造商,总部位于奥地利维也纳。该公司因为国防和人道主义领域制造可靠且成熟的产品而建立了国际声誉。为了实现其技术先进产品的精确设计和可靠性能,Schiebel 使用各种高端制造技术,例如金属增材制造 (AM) 和先进的仿真解决方案来开发和构建 CAMCOPTER® S-100。自 2020 年起,Schiebel 借助内部金属 3D 打印机为 S-100 转子发动机制造起落架支架和钛零件,具有最大的耐用性和功率输出,同时重量和尺寸尽可能最小。
挑战
Schiebel Group 是一家位于奥地利维也纳的无人机系统 (UAS) 制造商,在优化 CAMCOPTER® S-100 的设计方面面临着重大挑战。 S-100 是一种活跃于整个欧洲的空中系统,其飞行距离必须达到 160 公里,飞行时间超过 8 小时。这需要可靠、稳健的车辆架构和燃料供应。除了功能要求外,Schiebel 还希望 S-100 尽可能轻,以增加车辆的行驶范围。此外,Schiebel 必须确保其产品符合多项国家法规,包括欧盟航空安全局 (EASA) 的轻型无人机操作员证书 (LUC)。 LUC 包括有关安全操作、控制系统可靠性和飞行许可的指南。为了满足这些苛刻的开发目标并让 Schiebel 将今天的 S-100 带到未来,该公司需要采用多学科设计方法。
解决方案
为了应对这一挑战,Schiebel 将 Altair 解决方案与 3D 打印相结合。工程师们进行了一系列模拟,特别是为了优化增材制造发动机零件的设计。利用 Altair 的拓扑优化结构设计工具,Schiebel 在保持高刚度水平的同时显着减轻了重量,实现了稳健的设计。然后使用 Altair CFD™ 通过层流和湍流模拟以及共轭传热模拟对系统进行评估。然后使用 Altair® MotionView® 和 Altair® MotionSolve® 对接触、非线性有限元 (NLFE) 和复杂动态系统进行建模。 Schiebel 还利用他们对 APA 解决方案的访问权,并应用 Amphyon 等工具来模拟增材制造工艺,包括对零件进行预变形以达到所需的精度。 Amphyon 还用于热应力模拟,使工程师能够识别热热点并模拟支撑结构的强度。
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
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Case Study
Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.