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A Comparative Guide to Optical Strain Measurement Methods: Local DIC vs. Global DIC – Which Method Is Best Suited for Your Application?

A Comparative Guide to Optical Strain Measurement Methods: Local DIC vs. Global DIC – Which Method Is Best Suited for Your Application?

2026-03-12

The key to choosing the right method lies not in algorithmic performance, but in the intended use of the data. For testing laboratories that need to feed measurement results into simulation models, global DIC based on the finite element method is the optimal solution. It generates data ready for immediate use—no post‑processing required, no interpolation bias, and no spatial transformation needed.

Accelerated Durability Testing Methods for Critical Components of Vehicles and Aircraft in Complex Operational Environments: Failure Mechanism Analysis Based on HALT and Case Study Validation

Accelerated Durability Testing Methods for Critical Components of Vehicles and Aircraft in Complex Operational Environments: Failure Mechanism Analysis Based on HALT and Case Study Validation

2026-03-11

As a core tool for enhancing product reliability in complex operational environments, ALT’s value has expanded beyond mere “defect activation” to encompass a closed-loop methodology that integrates “failure physics–accelerated modeling–process traceability.” Fatigue testing of automotive structural components, thermal cycling degradation analysis of electronic devices, and mission profile–driven assessments of aircraft electrical systems all collectively corroborate the following key conclusions: (1) Accelerated testing must be anchored in genuine failure mechanisms to avoid result biases caused by incorrect acceleration models; (2) Degradation behavior often exhibits nonlinear characteristics, and linear extrapolation may severely underestimate reliability risks; (3) Cross-scale failure analysis serves as the critical bridge that enables HALT to transition from “identifying problems” to “solving problems.”

A Detailed Overview of All New Features in EikoTwin Version 2026.1: Three Major Core Upgrades—Python Programmability, Batch Processing Automation, and Independent Marker Tracking

A Detailed Overview of All New Features in EikoTwin Version 2026.1: Three Major Core Upgrades—Python Programmability, Batch Processing Automation, and Independent Marker Tracking

2026-03-04

In early 2026, EikoSim, a leading company in digital image correlation (DIC) technology, held its annual Echo Day online seminar. Co‑founder Florian Macher and Chief Technology Officer Renaud Gras jointly unveiled the full suite of new features in EikoTwin version 2026.1, with three major core upgrades: Python programmability, batch processing automation, and independent marker tracking.

Application of DIC Technology in Quality Monitoring of High‑Performance Composite Structural Components: From Non‑Contact Full‑Field Measurement to Intelligent Damage Early Warning

Application of DIC Technology in Quality Monitoring of High‑Performance Composite Structural Components: From Non‑Contact Full‑Field Measurement to Intelligent Damage Early Warning

2026-02-25

Looking ahead, with DIC technology at its core, integrating multiple non‑destructive testing methods such as ultrasound, thermal imaging, and acoustic emission, and leveraging artificial intelligence to achieve automated damage detection and early warning, the development of an intelligent quality monitoring system that covers the entire lifecycle of composite structural components will become a crucial technological foundation for ensuring structural safety in the aerospace, wind power, and high‑end manufacturing sectors.

In which biomechanical analysis software can human motion files collected using markerless motion capture technology be simulated and modeled?

In which biomechanical analysis software can human motion files collected using markerless motion capture technology be simulated and modeled?

2025-09-11

With the rapid development of computer vision and deep learning technologies, markerless motion capture technology is gradually becoming an important tool in biomechanics research. Compared to traditional marker-based motion capture systems, the markerless approach does not require attaching reflective markers to the subject's body, greatly enhancing the convenience and naturalness of data collection. It is especially suitable for practical applications such as sports training, rehabilitation assessment, and sports biomechanics analysis.

How to extract a company's historical drawing data for use in the MBD workflow? You need to look at the 2D version of the MBDVidia Suite software — Balloon2D!

How to extract a company's historical drawing data for use in the MBD workflow? You need to look at the 2D version of the MBDVidia Suite software — Balloon2D!

2025-09-11

How traditional 2D drawings can be integrated into modern digital workflows has become a key challenge in the transformation of the manufacturing industry. CAPVIDIA's Balloon2D software uses intelligent technology to convert 2D drawing data into the structured information required for MBD workflows, building a bridge between traditional and digital manufacturing.

Specific Application Analysis of Human Motion Biomechanics Data in the "Artificial Intelligence+" Environment

Specific Application Analysis of Human Motion Biomechanics Data in the "Artificial Intelligence+" Environment

2025-09-10

The integration of artificial intelligence and human motion biomechanics analysis has brought new opportunities to the field of industrial intelligent manufacturing. The combination of motion capture systems and biomechanics software not only provides rich data support but also enhances the efficiency and safety of human-computer interaction design through intelligent analysis. In fields such as automotive and aerospace, this technology has become an important tool for optimizing product design and improving user experience.

CAPVIDIA QIFmaster MBD model quality management solution leads industrial manufacturing enterprises to successfully start the MBD process automation journey!

CAPVIDIA QIFmaster MBD model quality management solution leads industrial manufacturing enterprises to successfully start the MBD process automation journey!

2025-09-10

MBD technology significantly enhances the efficiency from design to manufacturing by integrating geometric and non-geometric information (such as dimensions, tolerances, and material specifications) into 3D models. According to a report released by the Society of Manufacturing Engineers (SME) in 2023, companies adopting MBD reduced design change time by an average of 40% and improved production accuracy by 20%. However, the complexity of MBD models often leads to data quality issues, such as model errors, format incompatibility, or missing information, which can cause manufacturing delays and cost overruns. A paper published in the Journal of Manufacturing Systems pointed out that up to 30% of manufacturing defects stem from data inconsistencies in MBD models, highlighting the urgent need for robust quality management.

Solving the challenge of 2D drawing digitization: extraction of annotation data information and automatic generation of bubble charts

Solving the challenge of 2D drawing digitization: extraction of annotation data information and automatic generation of bubble charts

2025-09-08

Explore how to solve various problems through precision calibration during the digitization of 2D drawings, improving efficiency and accuracy.

See how human musculoskeletal simulation modeling can help you identify blind spots in ice skating training!

See how human musculoskeletal simulation modeling can help you identify blind spots in ice skating training!

2025-09-08

In competitive sports, technical details often determine the success or failure of athletes. Especially in speed skating, a discipline that demands high efficiency of movement and power output, traditional training methods often rely on the coach's experience and visual observation, making it difficult to comprehensively capture the biomechanical characteristics of athletes during high-speed motion. In recent years, with the deep integration of motion capture technology and human biomechanics analysis software, athletes and coaches have been able to glimpse into the "black box" behind technical movements, accurately identify training blind spots, and improve athletic performance.

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