ope苹果客户端提供了所有构建模块,以封闭开发和运营之间的循环,融合仿真和现场数据,实现人工智能驱动的决策.

Industrial Machinery

任何机械制造项目的首要目标都是实现高质量产品的完美运行生产. By leveraging accurate virtual prototypes, 可以在开发过程的早期确保无缝生产,以帮助评估和提高产品的盈利能力.

机器的复杂性不断增加,要求在产品线开发和客户实施项目中积极管理技术风险. This can be achieved through multiphysics simulation and model-based development 对不良行为的现象和根源有更深入的了解. Altair的集成产品和过程模拟工具允许从不同角色获得系统的整体视图,以确保更早地完美运行生产.

Digital Transformation

Creating Equipment that Increases Cycle Speed and Improves Yields

Chad Jackson, CEO of Lifecyle Insights, confirms Altair's digital approach to industrial machinery design.

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Prototype Virtually

准确的虚拟原型提供了更深入的结构洞察力, mechanisms, and machine elements of industrial machinery, but also provides the foundation of AI-driven decision making.

When simulation correlates 从ly with test data, machine development can be accelerated with numerical optimization 提高操作效率,消除振动,改善机器的动力学.

Linking M-CAD, E-CAD, and controls, system simulation 能否应对日益复杂的机器时代带来的挑战.

Are you weld designs in compliance with FKM directives?

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Enable Virtual Commissioning

A variety of tools, methods, semantics, 实现使得结构工程师之间必要信息的交换变得复杂, software engineers, and testing departments. 将开发规程与目的驱动的仿真(系统开发解决方案)结合起来 Altair® Activate® 通过FMI (functional mockup interface)标准连接虚拟调试环境. 将控制顺序与机器的实际行为相结合,可以实现虚拟调试,并减少在客户设施的时间投资.

Eliminate Vibrations and Improve Dynamics

Multi-body simulation, which considers the detailed behavior of machine elements, 创建虚拟原型,为数值优化提供基础, making targeted mass savings and vibration reduction possible. Through multi-body simulation, process accuracy can be achieved faster, improving the productivity of the machine and production line. 详细的多体仿真,使寿命和疲劳评估 reduce maintenance intervals due to material fatigue.

Process Optimization with Machine Learning and AI

Machines can be programmed to become self-aware, learning to optimize itself, 允许机器制造商自动路径误差修正由于工件重量的变化, varying manufacturing tolerances, or mechanical aging of the system. Self-learning, automatic path error correction improves part and process quality, increases machine productivity, and reduces tool wear. Control parameter adjustment for speed, accuracy, and surface finish requirements can be automated using integrated electromechanical simulation. Combined with the control system in a holistic system simulation, it allows cause-effect analysis, reduces the adaptation time for control parameters, and creates the basis for machine learning.


Reduced machine noise increases the operator efficiency.

Reduce Machine Noise

一个有针对性的模拟可以揭示纠正措施,以降低噪声水平在生产设施. Structural optimization 是否可用于确定具有成本效益的设计方案,以及精确的多体仿真实现声学优化. With targeted mass savings and mass damping, 制造商可以减少振动,并确定减少声发射的建设性措施.

随后的轻量化设计贯穿整个机器,使生产减少, processing, and maintenance costs.

Reduce Weight in Machine Components

Consistent lightweight design throughout the machine helps reduce production, processing, and maintenance costs while also cutting production and idle times. Additionally, 轻量组件的调试受益于减少到客户途中的加载时间,以及在客户站点上更快的设置时间. Lightweight design results from Altair® Inspire™ and Altair® OptiStruct® 考虑各种制造工艺,包括焊接施工, plastic injection molding, sheet metal forming, casting, milling, 3D printing, and more.

Featured Resources

利用整体系统仿真提高数控铣床的速度和精度

该报告概述了如何一个数字孪生铣床是解决机电一体化挑战的解决策略. To improve cycle times, accuracy, 在解决振动问题时,整体系统仿真是优化的基础. 具有灵活性的真实系统行为的高效建模, contacts, gaps, friction, nonlinearities in the drives (incl. saturation effects of motors), 电力电子与控制系统的结合是进行有效控制器设计和控制参数优化的基础. 结合三维有限元分析多系统部件的动态交互作用 multi-body dynamics and control system helps avoiding Tracking-, drag-, positioning errors rebound, and accumulation effects.  

use cases

abb

To support the use of simulation tools in this endeavor, 在西班牙,abb获得了ope苹果客户端产品设计区域团队的帮助, 由于该公司在利用仿真工具解决机器人行业的工程挑战方面的经验. 该项目的重点是提高双机器人Xbar (TRX)的疲劳性能。, abb的机器人零件转移系统之一,用于在制造工位之间移动零件.

Customer Stories

数字孪生设计过程的高效开发和操作的定制机器人

In a joint project MX3D, abb, 和ope苹果客户端展示了如何通过使用数字孪生过程来改进3D打印机器人,以实现更精确的定位.

White Papers

Optimizing SCARA Robot

仿真驱动设计导致了3D打印,气动驱动,轻量级机器人.

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