Select your language

Tubes measurement in 3DViewStation

In the modern industrial world, the precision of tube and pipe measurements represents a critical challenge for design, manufacturing, and maintenance. A recent study shows that automating these measurements can reduce the time needed for a complete analysis of a complex piping network by up to 85%. Facing this technical challenge, designers and engineers are seeking innovative solutions to accurately measure diameters, bend radii, and neutral axes of tubes in their CAD models.

As the complexity of tubular assemblies continues to increase, traditional manual measurement methods are reaching their limits in terms of precision and efficiency. The emergence of automated shape recognition technologies in CAD environments is radically transforming this approach, allowing considerable gains in time and reliability.

This article explores the challenges, methods, and advanced solutions for automatic measurement of tubes and pipes in CAD models, with a particular focus on the innovative features offered by the latest 3D visualization technologies.

Table of Contents

The challenges of precise tube measurement in CAD models

The precise measurement of tubes and pipes in CAD environments constitutes a major technical challenge for many industries. This complexity is explained by several factors specific to tubular geometries:

  • Variability of diameters and sections along the same tubular component
  • Complex geometries with multiple curves and variable bend radii
  • Interconnections and junctions in complex tubular networks
  • Need to precisely identify the neutral axis for manufacturing calculations
  • Large volumes of tubes to measure in industrial assemblies

Traditional manual approaches present significant limitations: time-consuming, they can require up to 4 hours of analysis for an assembly of average complexity. Moreover, the risks of human errors increase proportionally to the complexity of the models, with potentially critical consequences on manufacturing and system performance.

The increasing digitalization of industrial processes and the rising precision requirements now make the adoption of automated tools for these technical measurements essential.

Critical parameters in tubular component analysis

Several dimensional parameters are particularly critical when analyzing tubes and pipes in CAD:

  • External and internal diameter: Determinant for flow calculations, pressure, and mechanical constraints
  • Bend radii: Critical for manufacturability and mechanical performance of tubes
  • Neutral axis (or neutral fiber): Essential to precisely define the actual path of the tube
  • Bend centers: Reference points necessary for manufacturing operations
  • Developed length: Fundamental dimension for procurement and manufacturing

The neutral axis represents a particularly important parameter as it constitutes the geometric reference for manufacturing and assembly operations. Its precise determination allows for optimized material use and ensures the functional integrity of tubular systems.

Precise measurements of these parameters directly influence:

  • The hydraulic or pneumatic performance of systems
  • The mechanical strength of assemblies
  • The compatibility of components during assembly
  • Manufacturing costs and scrap rates

Evolution of measurement technologies in computer-aided design

The evolution of measurement technologies in CAD environments has gone through several development phases:

First generation: assisted manual measurements

The first CAD tools only allowed point-to-point measurements, requiring manual intervention for each dimensioning. This approach presented several limitations:

  • Time-consuming process requiring manual selection of measurement points
  • Variable precision heavily dependent on user expertise
  • Practical impossibility of analyzing complex assemblies
  • Laborious documentation of measurement results

Second generation: semi-automatic recognition

The introduction of geometric recognition algorithms enabled semi-automatic identification of cylindrical shapes, with:

  • Assisted selection of tubular geometries
  • Automatic calculation of certain parameters after manual selection
  • First features for extracting neutral axes on simple geometries

Current generation: artificial intelligence and complete recognition

Modern solutions rely on advanced artificial intelligence and machine learning algorithms to:

  • Automatically identify tubular structures in complex assemblies
  • Recognize different geometries (cylinders, elbows, reducers, junctions)
  • Calculate all dimensional parameters without human intervention
  • Generate comprehensive reports that can be used in other systems

This technological evolution has drastically reduced the time needed for analyses, while significantly increasing the precision and reliability of the measurements obtained.

Advanced techniques for automatic recognition of tubular geometries

Modern tube recognition algorithms rely on several sophisticated techniques:

Recognition through geometric analysis

This approach uses topological analysis algorithms to:

  • Identify cylindrical faces and their geometric properties
  • Detect continuities between cylindrical segments
  • Recognize junctions and branches in complex networks

Recognition through meshing and tessellation

Particularly effective on imported or tessellated geometries, this technique allows:

  • Analysis of surface meshes to detect areas of constant curvature
  • Reconstruction of cylinders from mesh portions
  • Identification of neutral axes even on degraded geometries

Hybrid approaches and artificial intelligence

The most advanced solutions combine several technologies:

  • Learning algorithms to improve recognition of complex shapes
  • Automatic assembly segmentation techniques
  • Expert systems capable of identifying industrial standards (standardized diameters)

These techniques achieve recognition rates exceeding 95% on complex industrial assemblies, considerably reducing the need for manual interventions.

3DViewStation: advanced solution for automating tubular measurements

Among the solutions available on the market, 3DViewStation stands out for its advanced capabilities in analyzing and automatically measuring tubular structures. This professional platform offers an integrated and particularly powerful approach.

Architecture and fundamental capabilities

3DViewStation offers a modern software architecture particularly suited to tube analysis:

  • Intuitive user interface inspired by Office standards
  • Ultra-fast loading capacity for voluminous assemblies (a few seconds)
  • Native multi-format compatibility (CATIA, NX, SolidWorks, Creo, STEP, IGES, etc.)
  • High-performance graphics engine for visualizing complex structures

Neutral axis recognition functionality

The flagship functionality of 3DViewStation for tube analysis is its ability to automatically identify the neutral axes of tubular structures. This technology allows:

  • Automatic detection of tubular geometries in assemblies
  • Recognition of tubes even on tessellated or imported models
  • Analysis of complex connections and junctions
  • Precise calculation of critical dimensional parameters: diameters, radii, lengths

This automated approach allows processing in minutes assemblies that would require several hours of manual analysis, while ensuring consistent and reliable precision.

Process for extracting and analyzing tubular measurements

The process of extracting and analyzing tubular measurements in 3DViewStation follows an optimized sequence:

Model import and preparation

The first step consists of importing the CAD model into the 3DViewStation environment:

  • Loading the native CAD file or neutral format (STEP, IGES, JT, etc.)
  • Possible configuration of import parameters according to specific needs
  • Visual preparation of the assembly (hiding non-relevant components)

Launching automatic recognition

Once the model is loaded, the user activates the neutral axis recognition function:

  • Selection of the analysis area (entire assembly or subset)
  • Configuration of recognition parameters (tolerance, level of detail)
  • Launching the automatic analysis process

Visualization and utilization of results

After automatic analysis, 3DViewStation presents the results in a structured manner:

  • Visual generation of neutral axes directly on the 3D model
  • Display of dimensional parameters in the form of dynamic dimensions
  • Production of a detailed report of measurements performed
  • Possibility to export data to other systems (PLM, ERP, etc.)

This approach not only allows for quickly obtaining the necessary measurements but also documenting them in a clear and usable manner for later phases of the project.

Industrial applications and concrete use cases

The automatic measurement of tubes and pipes presents concrete applications in many industrial sectors:

Aerospace and defense industry

In this demanding sector, hydraulic and pneumatic systems are particularly critical:

  • Compliance analysis of fuel and hydraulic fluid circuits
  • Verification of air conditioning and pressurization systems
  • Precise measurement of engine cooling circuits
  • Dimensional control of oxygen and de-icing systems

Automotive sector

The automotive industry intensively uses tubular networks for different functions:

  • Optimization of exhaust systems for compliance with emission standards
  • Analysis of engine and cabin cooling circuits
  • Verification of fuel supply systems
  • Measurement of hydraulic brake and power steering circuits

Energy and petrochemical industry

These sectors manage particularly extensive and complex tubular networks:

  • Compliance analysis of industrial piping installations
  • Dimensional verification of pressurized fluid transport systems
  • Measurement of heat exchange circuits in power plants
  • Control of distribution networks in petrochemical installations

In each of these sectors, the automation of tubular measurements allows for optimizing design processes, reducing manufacturing errors, and improving system reliability.

Practical guide to using the neutral axis function

To fully benefit from the neutral axis functionality of 3DViewStation, here is a detailed practical guide:

Optimal model preparation

Before launching the analysis, some preparatory steps can optimize the results:

  • Simplify the display by hiding non-tubular components
  • Verify that tubular structures are correctly loaded in the model
  • Ensure that the model scale is correct for optimal detection

Configuration of analysis parameters

The quality of results often depends on appropriate configuration:

  • Adjust the detection tolerance according to the precision of the model
  • Define the appropriate level of detail (simplified for quick analyses, detailed for precise measurements)
  • Configure filtering options to focus on relevant diameters

Utilization and documentation of results

Once the analysis is performed, several options allow for effectively utilizing the results:

  • Use complementary measurement tools to verify specific points
  • Generate annotated views to document key parameters
  • Export results in PDF format or in structured formats for integration into other systems
  • Save the session with analyses for future reference or sharing with other stakeholders

This structured approach ensures optimal use of the functionality and efficient exploitation of the results obtained.

Return on investment and competitive advantages

The adoption of an automated tube measurement solution such as the one offered by 3DViewStation generates quantifiable benefits:

Significant productivity gains

Industrial case studies show considerable improvements in processes:

  • Reduction in analysis time by up to 90% compared to manual methods
  • Decrease in design and verification cycles by 40% on average
  • Acceleration of technical documentation processes
  • Reduction in time-to-market for new products

Improvement in design quality

Beyond time savings, the overall quality of engineering work is improved:

  • Elimination of human errors in measurement processes
  • Standardization of analyses between different teams and sites
  • Complete traceability of measurements performed
  • Early detection of potential design problems

Optimization of manufacturing costs

Precise and automated measurements also allow for optimizing economic aspects:

  • Reduction of waste and rework in manufacturing thanks to more precise specifications
  • Optimization of material use through exact definition of lengths
  • Decrease in assembly costs thanks to better anticipation of problems

These combined advantages represent a rapid return on investment, generally less than 6 months for companies regularly dealing with complex tubular assemblies.

Conclusion and future perspectives

The automation of tube and pipe measurements in CAD environments represents a major technological advance that is profoundly transforming engineering practices in many industrial sectors. Solutions like 3DViewStation perfectly illustrate this evolution by offering innovative functionalities that combine artificial intelligence, advanced geometric recognition, and intuitive user interfaces.

These technologies will continue to evolve in several promising directions:

  • Deeper integration with PLM systems and simulation tools
  • Continuous improvement of recognition algorithms through machine learning
  • Development of predictive capabilities to anticipate manufacturing problems
  • Extension of functionalities to other types of complex geometries

For companies facing the challenges of designing and analyzing tubular systems, adopting these automated tools now represents not just an option but a strategic necessity. The precision, speed, and reliability they bring constitute decisive competitive advantages in an increasingly demanding industrial environment.

Faced with the growing complexity of assemblies and constant pressure on development deadlines, automated tubular measurement solutions have established themselves as indispensable allies for engineers and designers, transforming a once tedious task into a smooth and efficient process.

3DViewStation