技术
- 机器人 - 并联机器人
- 传感器 - 触觉传感器
适用行业
- 海洋与航运
- 金属
适用功能
- 产品研发
用例
- 预测性维护
- 结构健康监测
关于客户
Delta Marine Industries Inc. 是一家屡获殊荣的游艇制造商,也是世界领先的巨型游艇制造商之一。公司拥有一支由船舶建筑师、轮机工程师和在专业领域具有多年经验的技术工人组成的团队。 Delta Marine 专业地将传统工艺与最新技术相结合,为客户提供高品质的定制游艇。他们的客户主要包括 100 英尺以上巨型游艇的购买者,他们期望游艇的室内设计实现高水平的定制。
挑战
Delta Marine Industries Inc. 是一家领先的巨型游艇制造商,在满足客户的高定制需求方面面临着重大挑战。该公司的客户(100 英尺以上巨型游艇的购买者)期望能够高度定制其游艇的室内设计。这种对定制的需求,特别是在任何需要的地方自由放置墙壁或隔断的需求,通过增加负载路径的复杂性而带来了结构设计挑战。支柱不对齐使得很难确定荷载如何分布在各种结构元件上。由于高度非线性且难以离散化载荷路径,传统的设计方法是不够的。此外,Delta Marine 还负责建造一艘巨型游艇,不仅具有豪华的内饰和高巡航速度,而且还优化了重量和结构元件,以提高强度和抗振性。
解决方案
为了克服这些挑战,Delta Marine 使用了 ANSYS Mechanical 仿真软件。该公司在 Rhinoceros 中对游艇的主要形状进行建模,并将其导入 ANSYS Mechanical 中。他们使用复合壳单元对层压板堆叠进行建模,并使用实体单元对树脂铸造的尺寸零件进行建模。这种方法使他们能够评估全局和局部应力,简化了板、梁和柱的设计。他们还使用有限元报告来详细说明和捍卫监管规则手册无法充分涵盖的结构性决策。此外,他们还进行了模态分析,以确定关键振动模式,并通过加强高弯曲区域的船体和甲板来解决高弯矩问题。该解决方案使设计师能够将墙壁和隔断放置在他们想要的任何地方,同时保持强度,将重量保持在最低限度,防止振动,并在美观的豪华游艇中提供高水平的性能。
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.