Simcenter Testlab 2606: A New Era for Physical Testing
Physical testing remains essential to engineering validation, helping teams understand how products behave under real-world operating conditions. However, as products become more complex and development schedules tighten, engineers face increasing pressure to generate reliable results faster, reduce testing bottlenecks and make informed decisions earlier in the design process.
Simcenter Testlab 2606 introduces a significant step forward for physical testing, combining more integrated workflows, automated data processing and virtual validation capabilities to help engineers move from measurement to trusted engineering insight more efficiently.
The latest release from Siemens Digital Industries Software brings together advances in structural dynamics, noise, vibration and harshness (NVH), AI-ready engineering data, environmental testing and data acquisition.
In this article, we explore the key developments in Simcenter Testlab 2606 and what they mean for engineering teams.
What's new in Simcenter Testlab 2606?
The latest release focuses on five key areas:
More efficient testing workflows: Integrated capabilities in Simcenter Testlab Neo reduce manual work and unnecessary handovers.
AI-ready engineering data: Improved annotation, processing and automation help teams create structured, reusable datasets.
Earlier virtual validation: Virtual shaker testing helps engineers investigate potential issues before critical physical tests.
Flexible data acquisition: New license-free acquisition software for Simcenter SCADAS hardware makes measurement more accessible.
Automated NVH prediction workflows: Improved component characterisation supports more efficient system-level noise and vibration prediction.
Together, these developments aim to help engineers spend less time managing test processes and more time understanding product behaviour.
1. Faster structural dynamics testing with Simcenter Testlab Neo
Structural dynamics testing helps engineers understand how structures respond to excitation, identify resonances and validate simulation models against physical measurements.
Traditionally, these activities can involve multiple stages of measurement setup, data acquisition, modal analysis and model validation. Moving between tools and manually transferring information can introduce delays into the process.
Simcenter Testlab 2606 advances the transition towards integrated structural dynamics workflows within Simcenter Testlab Neo, bringing more testing and analysis activities together in a connected environment.
Enhancements include Shaker Acquisition, expanded modal analysis capabilities through MLMM and Modal Synthesis, and improvements to Impact Acquisition, Virtual Instrumentation and Virtual Point Transformation.
Siemens reports potential efficiency gains of up to 35% across complete structural dynamics workflows.
For engineering teams, this can mean less repetitive work, fewer workflow interruptions and a more efficient route from measured data to validated structural understanding.
Why does this matter?
A more connected workflow can help structural engineers:
Identify and investigate resonant behaviour.
Improve the efficiency of modal testing and analysis.
Correlate physical measurements with simulation results.
Reduce manual data handling between testing activities.
Accelerate decisions during product development.
For teams working on complex structures, machinery or vehicle components, these improvements can help make physical testing a more integrated part of the engineering process.
2. More efficient NVH prediction and virtual prototyping
Noise, vibration and harshness (NVH) performance is an important consideration across automotive, aerospace, industrial machinery and other engineering sectors.
Understanding how individual components contribute to the behaviour of a complete system can be challenging, particularly when engineers need to predict performance before a full physical prototype is available.
Simcenter Testlab 2606 brings together Transfer Path Analysis (TPA), Virtual Prototype Assembly (VPA) and NVH Simulator within an integrated next-generation workflow.
This supports a connected process for characterising components, assembling virtual systems and assessing predicted system-level NVH performance.
The release also introduces enhancements to VPA Definition, operational dataset generation and analysis, experimental frequency-based decoupling and NVH Simulator functionality.
Siemens reports that these integrated workflows can deliver up to 60% greater efficiency in system-level NVH prediction.
From component testing to system-level insight
An integrated workflow can help engineers understand how individual components influence the performance of a complete product.
For example, in vehicle development, engineers can characterise vibration sources, combine validated component models and investigate how those components interact within a virtual assembly.
This provides opportunities to explore design alternatives and investigate potential NVH issues earlier, reducing reliance on repeated physical prototype iterations.
The result is a more connected approach to test-based virtual development, helping teams make informed engineering decisions before committing to further physical testing.
3. Creating AI-ready engineering data
Artificial intelligence is creating new opportunities in engineering, from identifying patterns in test results to supporting predictive analysis and automating parts of the development process.
However, successful AI applications depend on the quality and context of the data used. Measurement data without clear information about test conditions, sensor configurations or operating scenarios can be difficult to interpret and reuse.
Simcenter Testlab 2606 addresses this challenge by improving how engineering data is captured, contextualised, processed and managed.
Capture more context during testing
Descriptive Annotation helps teams capture engineering context within their testing workflows, making measurement results easier to understand and reuse.
Schedule Acquisition also supports structured, repeatable measurement campaigns, helping teams standardise data collection across projects.
Capturing relevant information at the point of measurement can reduce the need to reconstruct test conditions later and improve the traceability of engineering datasets.
Automate data processing and preparation
The release continues to develop capabilities across Process Designer, Workflow Automation and Testlab Data Management.
Engineers can use automated workflows to process measurements and work with centrally managed historical datasets using annotation and search criteria.
This can help organisations make better use of existing test data rather than relying exclusively on newly acquired measurements for every investigation.
For engineering teams exploring AI-driven workflows, structured and traceable datasets provide a stronger foundation for future analytics, model training and data-driven decision-making.
4. Virtual shaker testing: Reduce risk before physical qualification
Environmental testing is critical when products must withstand demanding operating conditions. In aerospace, for example, vibration qualification can involve valuable hardware, carefully controlled test environments and tightly scheduled programmes.
Discovering an issue during a critical test can result in delays, additional investigation and costly retesting.
Simcenter Testlab 2606 introduces Virtual Shaker Testing, enabling engineers to model the complete test setup and investigate qualification scenarios before applying full test levels to physical hardware.
The workflow uses system identification measurements to derive a model of the test setup. Engineers can then explore potential responses, investigate controller settings and evaluate test scenarios virtually.
The release also introduces enhanced Model Compare capabilities to help compare predicted and measured frequency response functions and assess how closely the virtual model represents the physical system.
Why is virtual validation important?
Virtual shaker testing helps engineers investigate potential issues before committing valuable hardware to a critical test.
Potential benefits include:
Exploring test scenarios earlier in the development process.
Investigating controller settings and limiting strategies.
Comparing virtual predictions with measured system behaviour.
Identifying potential concerns before qualification testing.
Improving confidence in test preparation and execution.
For organisations working on spacecraft, aerospace systems and other products subject to demanding vibration requirements, earlier validation can help reduce uncertainty and support more informed test planning.
Virtual validation complements rather than replaces the physical qualification process: the aim is to enter testing with a better understanding of the system and the likely response.
5. License-free data acquisition with Simcenter Testlab Go
Data acquisition is the foundation of physical testing, enabling engineers to capture measurements and validate how products behave in real operating conditions.
Simcenter Testlab 2606 introduces Simcenter Testlab Go, a free, PC-based time data acquisition software extension for Simcenter SCADAS hardware.
It enables engineers to acquire, monitor and validate measurements without requiring an additional software licence for this acquisition capability.
This can make it easier to start measurement activities, particularly when engineers need a straightforward way to capture data before carrying out more advanced analysis.
The release also introduces Simcenter SCADAS Go, providing another license-free acquisition option for supported SCADAS hardware and workflows.
What does this mean for testing teams?
License-free acquisition can help organisations:
Begin measurement activities without additional acquisition software licensing costs.
Monitor and validate measurement signals.
Support testing across laboratory and field environments.
Make better use of existing compatible SCADAS hardware.
Feed acquired data into broader engineering analysis workflows.
These capabilities offer greater flexibility for teams carrying out routine measurements, troubleshooting and validation activities.
The applicable hardware compatibility and workflow requirements should be checked for each deployment.
6. Automated component characterisation for NVH development
Component characterisation is an important part of test-based virtual development. Engineers need reliable component models to predict how individual parts will behave when integrated into a larger system.
However, characterising components and preparing models for reuse can require specialist knowledge and significant manual effort.
Simcenter Testlab 2606 introduces advances in automated blocked force testing and component model extraction, helping industrialise this process.
The solution supports automated extraction of invariant component models in accordance with ISO 20270, enabling more repeatable characterisation workflows for use in system-level NVH prediction.
By reducing manual processing and standardising the workflow, organisations can make component characterisation more scalable across projects.
Supporting virtual product development
Automated component characterisation can help engineering teams:
Reduce repetitive manual processing.
Improve the consistency of component models.
Accelerate preparation for virtual prototype assembly.
Support system-level NVH prediction.
Make test-based models easier to reuse across development programmes.
This is particularly relevant for organisations looking to increase their use of virtual prototyping while maintaining confidence in the physical measurement data underpinning their models.
What does Simcenter Testlab 2606 mean for engineers?
The value of the release extends beyond individual features. Its broader focus is on connecting physical measurement, data processing, model validation and engineering analysis into more efficient workflows.
For testing teams, this creates opportunities to improve productivity while generating more useful and reusable engineering data.
Engineering challenge | Relevant Simcenter Testlab 2606 development |
Time-consuming structural dynamics workflows | Integrated Simcenter Testlab Neo capabilities |
Complex system-level NVH prediction | Transfer Path Analysis, Virtual Prototype Assembly and NVH Simulator |
Disconnected or poorly contextualised test data | Annotation, automation and data management |
Risk during critical vibration qualification | Virtual Shaker Testing and Model Compare |
Barriers to routine data acquisition | License-free Simcenter Testlab Go capabilities |
Manual component characterisation | Automated blocked force testing and component model extraction |
The most relevant improvements will depend on an organisation's testing requirements, existing hardware, software configuration and engineering workflows.
Explore Simcenter Testlab with Kaizen PLM
Physical testing remains essential to understanding real-world product behaviour, but engineering teams increasingly need to generate reliable insights faster and make decisions earlier in the development process.
Simcenter Testlab 2606 supports this shift through integrated structural dynamics workflows, more efficient NVH prediction, AI-ready data preparation, virtual validation and flexible data acquisition.
For organisations looking to improve testing efficiency, strengthen test-based simulation or make better use of engineering measurement data, the release provides several areas worth exploring.
Want to find out how Siemens Simcenter can support your testing and validation workflows?
Kaizen PLM works with Siemens engineering software to help organisations identify suitable solutions for their product development and validation challenges.
Explore Simcenter solutions on the Kaizen PLM website or contact our team to discuss your engineering requirements.
Feature details and performance figures are based on Siemens' Simcenter Testlab 2606 release information. Actual results depend on the workflow, configuration and application.
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