Metrology without technological boundaries: the practical guide to overcoming the limits of industrial software
At the heart of industrial precision, choosing the right software can transform metrology challenges into tangible competitive advantages. Discover how to implement universal solutions that eliminate operational rigidity and improve production efficiency.
Metrology teams face growing pressures: extreme precision, managing increasingly complex measuring devices, and a shortage of qualified personnel. The answer lies not in adding tools, but in adopting software platforms that unify the entire dimensional process.
The hidden limits of industrial metrology
Rigid software and non-intuitive interfaces slow down production efficiency and hinder integration between different technologies. These hidden obstacles cost time, precision, and competitiveness.
Metrologists work under constant pressure. They must increase the efficiency and accuracy of ultra-precise measurements, managing a complex variety of increasingly advanced devices and software.
Software rigidity represents the first critical obstacle. Many platforms do not adapt to new measurement technologies, forcing teams to work with separate systems for CMMs, scanners, gauges, and probing devices.
- Lack of flexibility: the software does not adapt to different or emerging measurement technologies
- Complex interfaces: slow down operations and increase the risk of human error
- Inefficient processes: fragmented project management with repeated manual adjustments
Non-intuitive interfaces worsen the problem. A complex user interface slows down daily operations and significantly increases the risk of errors, especially when teams deal with complex mold projects.
Case study: Borromini S.r.l. and the software turning point
A concrete example of how a universal platform solved operational criticalities and increased precision and productivity in a leading company in the design of automotive molds.
Borromini S.r.l. designs complex molds for the automotive lighting industry and small household appliances. The company has collaborated with Alfa Romeo, Volvo, and Toyota, but its 3D measurement capabilities had critical limitations.
The metrology team struggled to manage complex mold projects, with results requiring repeated costly adjustments in terms of time. The solution came with the adoption of PolyWorks|Inspector, a universal software platform.
Manuel Sofia, Quality Assurance Manager of Borromini, stated: “PolyWorks has transformed our workflow, making it faster, more intuitive, and more efficient. We have gone from the performance of a small car to the speed of a racing car.”
The software has been integrated with Borromini's CMM Hexagon. The universal platform allows teams to prepare inspection projects, execute measurement sequences, and analyze results, all within a single environment that optimizes operations and increases productivity.
The approach has radically transformed the company's operations. Borromini can now manage complex measurements with greater precision, reducing time and costs associated with multiple adjustments.
Practical guide to choosing metrology software
Operational guidelines for evaluating and implementing software solutions that meet the specific needs of the industrial context, from technological compatibility to regulatory compliance.
The selection of metrology software requires a structured approach. The first criterion is universality: the platform must process data acquired from any type of measuring device, including detailed datasets such as nanoscale 3D data captured with scanning electron microscopes.
Data processing algorithms must be governed by tolerance thresholds to preserve measurement accuracy. Feature fitting algorithms must be PTB certified, with GD&T calculations compliant with ASME and ISO standards.
Evaluation procedure
- Needs analysis: identify measuring devices in use and future technologies, evaluating compatibility with CMM CNC, scanners, calipers, and probing systems.
- Compliance verification: Check PTB certifications for fitting algorithms and ASME/ISO compliance for GD&T calculations, essential for critical applications.
- Integration test: Verify the ability to centralize data in a unified format and real-time accessibility for accelerated decisions.
Data management represents a crucial aspect. Solutions like PolyWorks|DataLoop provide real-time access to inspection results, accelerating decision-making and simplifying collaboration between teams.
Artificial intelligence is becoming an influential trend. In metrology, AI is used to facilitate product use and support result analysis, with AI-based innovations expected in upcoming releases.
End-to-end digital connectivity is fundamental. Manufacturers must reduce time-to-market by managing increasingly complex geometries, making access to measurement data collected by quality control teams critical.
| Criterion | Traditional software | Universal platform |
|---|---|---|
| Device compatibility | Limited to specific brands | Any measurement technology |
| Data management | Network or USB files | Centralized real-time access |
| Regulatory compliance | Variable | PTB, ASME/ISO certification |
| Scalability | Requires multiple software | Unified environment |
For critical applications, the platform must support large-scale assembly processes: alignment of aeronautical fuselage segments, construction of fusion reactors, quality control of wind turbines before installation. Companies in these sectors base high-risk decisions on insights provided by metrology software.
Conclusion: flexibility and integration for uncompromising quality
Modern metrology requires flexibility and integration. Choosing the right software is the first step towards uncompromising quality, eliminating operational inefficiencies and reducing costs.
Universal platforms transform industrial metrology management. They overcome the limitations of rigid software, complex interfaces, and fragmented processes, offering a unified environment that increases productivity and precision.
Evaluate your metrology platform today: you could gain precision, time, and reduced costs. Investing in universal software is not only technological but also strategic for industrial competitiveness.
article written with the help of artificial intelligence systems
Q&A
- What are the main hidden limitations of traditional industrial metrology software?
- Rigid software and non-intuitive interfaces slow down production efficiency and hinder integration between different technologies. These problems cause fragmented processes, repeated manual adjustments, greater risk of human error, and loss of time and competitiveness.
- How did Borromini S.r.l. overcome its 3D measurement criticalities?
- The company adopted the universal platform PolyWorks|Inspector, integrating it with the Hexagon CMM. This allowed managing inspection projects, executing measurement sequences, and analyzing results in a single environment, increasing speed, precision, and operational efficiency.
- What are the fundamental criteria for choosing metrology software?
- The first criterion is universality, i.e., the ability to process data from any measuring device. It is also essential to verify the PTB certification of the fitting algorithms and compliance with ASME/ISO standards for GD&T calculations, in addition to centralized data management.
- What is the difference between traditional software and a universal platform for data management?
- Traditional software often manages data via network or USB files and is limited to specific brands. A universal platform, on the other hand, offers centralized and real-time access to results, supporting any measurement technology.
- What role does artificial intelligence play in modern metrology?
- AI is used to facilitate the use of the software and support the analysis of inspection results. Further AI-based innovations are planned in upcoming releases of metrology platforms.
- Why is end-to-end digital connectivity fundamental in the current industrial context?
- It is fundamental because manufacturers must reduce time-to-market by managing increasingly complex geometries. Immediate access to measurement data enables faster decision-making and improves collaboration between teams.
