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Ansys optiSLang
Process Integration & Design Optimization 

Orchestrate and automate your simulation toolchains and connect to state-of-the art optimization algorithms to perform parametric design studies and better understand your designs. 

BETTER PRODUCT IN LESS TIME

Parametric Design Studies Made Easy

Ansys optiSLang is a constantly evolving, leading-edge answer to the challenges posed by CAE-based Robust Design Optimization (RDO). Its state-of-the-art algorithms efficiently and automatically search for the most robust design configuration, eliminating the slow, manual process that used to define RDO. With optiSLang as your process integration and design optimization solution, you’ll make the right decisions sooner.

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    Process Automation
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    Optimization & Uncertainty Quantification
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    Design of Experiments & Sensitivity Analysis
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    Ansys Minerva Integration

Quick Specs

Accelerate searches for the best and most robust design configuration by automating the search process with interactive visualization and AI technologies. State-of-the-art algorithms for design exploration, optimization, robustness and reliability analysis let you make better decisions with less effort using design optimization software.

  • Process Automation
  • Robust Design
  • Reduced-Order Modeling
  • Simulation Workflow Building
  • Design of Experiments
  • CAx Connectors
  • Optimization
  • Model Calibration
  • Ansys Minerva Integration

Multi-Body Simulation of Truck Mountings on Rough Road Conditions

Ansys optiSLang enables a simulation of loads based on fast and cost-effective measurable signals for an efficient assessment of changes to the drivetrain configuration without the repetition of expensive driving tests.

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Multi-Body Simulation of Truck Mountings on Rough Road Conditions

Ansys optiSLang enables a simulation of loads based on fast and cost-effective measurable signals for an efficient assessment of changes to the drivetrain configuration without the repetition of expensive driving tests.

July 2025

What's New

Ansys optiSLang 2025 R2 introduces significant advancements across its core platform, connectivity, and algorithmic capabilities, enhancing the efficiency and integration of simulation-driven optimization workflows.

2025 R2 OptiSLang Connect base
Ansys optiSLang Base

The base update empowers engineers to perform direct optimization within their solvers, supporting up to 10 parameters and leveraging Ansys Workbench with basic optimizers and meta-modeling, streamlining early-stage design exploration.

2025 R2 OptiSLang Connect connectors and workflow
Connectors and Workflow

In the connectors and workflow domain, the release expands interoperability through new project export options and connectors, enabling seamless integration with tools such as Ansys ConceptEV, Ansys Thermal Desktop, and Ansys SimAI.

2025 R2 OptiSLang Connect interfaces and algorithms
Interfaces and Algorithms

The interfaces and algorithms update introduces PyOptiSLang v1.0, consolidating all connectors into a unified environment and enhancing algorithmic capabilities, MOP signal completion, and availability of Ansys Engineering Copilot directly into the optiSLang UI/UX.

利用领先的AI和交互式可视化,将RDO流程进行简化和自动化

Ansys optiSLang提供流程集成和设计优化解决方案,可自动执行鲁棒性设计优化流程的关键方面。optiSLang将多种CAX工具和不同的物理特性连接到一个全面、多学科的优化方法中。此外,它还支持仿真流程的标准化和共享,使新员工和仿真初学者能够更直接地访问仿真。借助这一强大的工具集,您的整个工程师和设计师团队可以更好、更完整地了解其设计,并更快做出正确的决策。

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主要特性

optiSLang支持与各种CAx程序集成,并提供强大的RDO工具,以更快地获得关键洞察

Ansys optiSLang提供了GUI支持的二进制接口,与虚拟产品开发中使用的主要CAE工具进行交互。其他工具可以通过脚本、基于文本的界面或自定义集成进行集成。您可以获得CAD、CAE、脚本、桌面应用、存储库、数据库和内部求解器等工具的支持。得益于高性能计算策略,您可以使用队列系统或Ansys提供的提交功能提交任务。无论选择哪种环境,optiSLang都提供相同的设置和对话框。

流程自动化和集成以及获得最佳参数化仿真模型,是成功进行基于CAE的参数研究的关键。我们的图形用户界面提供了易于理解的图表和控制面板,可实现对整个工作流程的完全访问和可追溯性。 

仿真在了解产品和流程(尤其是复杂的产品和流程)方面发挥着重要作用。基于参数的变量分析可让您深入了解设计在可变性条件下的性能。多学科优化任务通常需要大量的变量,因此很难知道重点在哪里。optiSLang的算法和相关性分析可以自动识别最显著的变量,从而减少需要考虑的设计变量的数量。该程序的敏感度分析,还为根据目标的选择和数量或可能的约束适当制定优化任务奠定了基础,从而帮助您快速锁定最佳近似模型。

降阶建模—Ansys optiSLang构建元模型以实现快速反馈和鲁棒性设计分析,只需花费特定设计仿真所需的一小部分时间。

设计优化和参数识别—Ansys optiSLang强大的算法和自动化工作流程基于敏感度分析的早期步骤;其通过向导驱动的决策树来推荐具有默认设置的优化器

optiSLang AI+—可为仿真用户提供用于敏感度分析、优化和鲁棒性设计的先进机器学习方法。更高效的方法可提供更高质量的CAE结果预测,并使工程师更好地了解设计参数与产品性能之间的关系。在更短的时间内设计出更好的产品。

为了在多物理场仿真和多学科优化中开展协作,实现自动化、发布多个重复性任务的工作流程,以及仿真数据管理,变得至关重要,例如:

  • 将某个学科的结果作为输入传递到下一步操作中
  • 后处理步骤、报告和结果提取
  • 模型生成任务
  • 比较替代方案以找出最优设计
  • 后续优化在调整后的约束和目标下运行

Ansys optiSLang和Ansys Minerva的结合,成为了应对这些挑战的强大解决方案。

与敏感度分析类似,鲁棒性分析可确定最重要的波动变量,并提供决策树来选择最合适的算法,以验证产品或情况的鲁棒性和可靠性。对于必须满足安全性或质量要求较高、事件概率不足千分之一的设计而言,这一点至关重要。可靠性分析可以量化超出极限的概率,并证明其小于可接受的值。optiSLang强大的算法有助于确保产品质量,最大限度地减少废品、召回和法律诉讼风险。

与敏感度分析类似,鲁棒性分析可确定最重要的波动变量,并提供决策树来选择最合适的算法,以验证产品或情况的鲁棒性和可靠性。对于必须满足安全性或质量要求较高、事件概率须小于千分之一的设计,这一点至关重要。可靠性分析可以量化超出极限的概率,并证明其小于可接受的值。optiSLang强大的算法有助于确保产品质量,最大限度地减少废品、召回和法律诉讼风险。

optiSLang软件包和许可

Ansys optiSLang许可证

我们提供包括Ansys optiSLang Premium和Enterprise许可类别,您可以选择最适合您需求的产品。通过Premium产品,用户能够访问广泛的仿真工作流程自动化和优化功能。用户需要持有Enterprise许可证,才能构建自动化应用程序,并执行更多的并行变量分析。optiSLang AI+附加组件可实现利用AI进行元建模,并可以添加到Pro、Premium或Enterprise软件包中。

产品包

功能DesignXploration-BASEoSL ProoSL PremiumoSL EnterpriseoSL AI+
几何结构
参数、约束和目标数量≤ 10、≤ 5、≤ 2 没有限制  
基础DOE能力     
基础优化器(NLPQL、EA)     
基础响应面法     
高级优化器    +
高级DOE和MOP    +
鲁棒性设计和可靠性分析     
信号UQ,2D/3D     
基于场的元模型建模(2D/3D)     
高级标量和信号元模型建模     
流程集成和工作流程协调
嵌入在Ansys中*     
构建和自动化工作流程     
Ansys工具连接器     
通用脚本和基于文本的连接器     
集成第三方工具连接器     
应用生成     
并发设计求解许可  +3+7 

运行optiSLang后处理器时,需要根据“Design Studies“中列出的方式获取许可证
*对于2025 R2版本:optiSLang可在Workbench、Electronics Desktop和Fluent中使用。LS-OPT可以通过optiSLang Pro启用

OPTISLANG RESOURCES & EVENTS

Featured Webinars

On Demand
Ansys Fluent 2023 R1 Images
Ansys 2025 R2: Ansys optiSLang What’s New

Join us for an exclusive preview of Ansys optiSLang's latest advancements, including direct solver optimization and new integrations to enhance your design efficiency.

Webinar Series
optiSLang webinar series
Orchestrate and Optimize Your Simulations with Ansys optiSLang

Integrate and optimize simulation workflows across CAE tools (e.g. HFSS, Workbench, AEDT). This series covers sensitivity analysis, design exploration, reliability, robustness, and workflow automation. 


Case Studies

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Diversity of Variations in the Virtual Prototyping of Tennis Rackets

Robustness evaluation and optimization of HEAD tennis rackets with multiple input and objective parameters using optiSLang® and Ansys.

 

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Safety Assessment of Automated Driver Assistance Systems

Statistical methods combined with Software-in-the-Loop (SiL) simulation help to analyze the reliability of Advanced Driver Assistance Systems (ADAS).

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TMF Panel Optimization

Ariane Group GmbH developed a simulation procedure in order to reduce the effort on full scale hardware testing. optiSLang was used for parameter identification and optimization of Thermo-Mechanical Fatigue (TMF) panels representing in design and size one part of the combustion chamber of the Ariane 6 European launch vehicle. 

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Validation of ADAS using Reliability Analysis Methods to Save a Factor of 1000 Simulations Per Scenario

Find out how Mercedes Benz uses Ansys technology to develop and test the reliability advanced driver assistance systems (ADAS). 

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Virtual Quality Assurance in the Digital Orthopaedic Workshop of the Future

The emerging field of virtual medical certification requires accurate and reliable FE-simulations in order to speed up the regulatory approval process of individualized prostheses and orthoses.

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Analysis of Low Cycle Fatigue Considering Geometric Manufacturing Tolerances: Ansys + SIEMENS

SIEMENS AG applies Ansys, Statistics on Structures and Ansys optiSLang for probabilistic analyses of geometric variations and their influence on the fatigue behavior of a gas turbine housing.

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Rheinmetall Leverages Ansys Tools to Streamline and Optimize Automotive Product Design

Find out how Ansys optiSLang hosts key capabilities of workflows that enable early innovative designs and significant performance improvements of up to 45% compared to reference design.


White Papers & Articles

 

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How Combining Parametric Model Variations with Electronics Simulation Enables Complex Circuit Board Optimization

This article provides a preview of parametric modelling in optiSLang that leads to more robust circuit board optimization.

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