Study
Final ProductionHigh ImpactStrong effect

In-process geometric measurement enhances robotic grinding accuracy for turbine blades

Integrating a high-accuracy contact measurement device into a robotic grinding feedback loop significantly improves the precision of turbine blade manufacturing.

Sensors · 2020

01

Key Findings

  • 01The developed measuring device exhibits an accuracy one order of magnitude better than the required accuracy for turbine blades.
  • 02The device is suitable for real-time control of the robotic grinding process.
  • 03The device's output interface allows for integration into a robotic station's feedback loop.
02

Application

Design takeaway

Incorporate real-time measurement and feedback mechanisms into automated manufacturing processes to achieve superior product quality and process efficiency.

How to apply

When designing automated manufacturing cells for high-tolerance components, consider integrating sensors that provide real-time dimensional feedback to the control system.

Project actions

  • 01Consider how to measure critical dimensions during a manufacturing process.
  • 02Explore the potential for integrating measurement feedback into automated systems.
03

Method & Evidence

AimTo design, implement, and test the accuracy and repeatability of a contact measurement device for real-time geometric control of turbine blades during robotic grinding.
MethodExperimental validation and system integration
ProcedureA contact measurement device was designed and manufactured. Its accuracy and repeatability were tested using a standard workpiece. Subsequently, the device was integrated into a robotic grinding station's feedback loop to measure aircraft engine blade thickness during the grinding process.
ContextAerospace manufacturing, specifically robotic grinding of turbine blades

Variables

IVIntegration of the measurement device into the robotic grinding feedback loop.
DVAccuracy and repeatability of turbine blade geometry measurement; Grinding process control.
CVType of turbine blade, robotic grinding parameters, standard workpiece properties.
04

Strengths & Limitations

Strengths

  • +Demonstrates a practical application of advanced measurement technology in manufacturing.
  • +Provides quantitative data on the accuracy and repeatability of the developed device.

Limitations

The study used a specific type of measurement device and a particular manufacturing process. Results may vary with different technologies or materials.

Reliability & validity

The study reports specific accuracy and repeatability metrics, suggesting a robust experimental design. The validation against required blade tolerances further supports its validity in the intended context.

Think critically

How might the choice of measurement technology (contact vs. non-contact) impact the design of the feedback loop and the overall manufacturing outcome?

05

Design Principles

"Implement closed-loop control systems for precision manufacturing by integrating in-situ measurement with automated process adjustment."

This research demonstrates a practical method for real-time quality control in complex manufacturing. By providing immediate feedback on geometry, designers and engineers can ensure that production processes consistently meet stringent tolerances, reducing scrap and rework.

06

What This Means for Your Design

A special tool was made to measure how thick airplane engine blades are while a robot is grinding them. This tool is very accurate and can tell the robot to adjust its grinding in real-time, making the blades much better.

How to use in your project

  • 1.Reference this study when discussing the importance of measurement accuracy in production.
  • 2.Use it to justify the inclusion of quality control measures in your design project.
07

Add to My Project

08

Quick Cite

(2020). Device for Contact Measurement of Turbine Blade Geometry in Robotic Grinding Process. Sensors. https://doi.org/10.3390/s20247053 Retrieved from https://designdex.org/study/2ab0b705-a29a-4445-8d29-5b3a77e17eb9/in-process-geometric-measurement-enhances-robotic-grinding-accuracy-for-turbine-blades

Paragraph starter

The integration of in-situ measurement devices, as demonstrated in the robotic grinding of turbine blades, highlights the critical role of real-time geometric feedback in achieving high manufacturing precision. This approach allows for immediate process adjustments, ensuring that components meet stringent tolerances and reducing the need for extensive post-production inspection.

09

Source

Sensors

Device for Contact Measurement of Turbine Blade Geometry in Robotic Grinding Process

journal · 2020

View source

Questions about this research

What does the research say about in-process geometric measurement enhances robotic grinding accuracy for turbine blades?
Incorporate real-time measurement and feedback mechanisms into automated manufacturing processes to achieve superior product quality and process efficiency. Evidence: Sensors (2020).
Why does "In-process geometric measurement enhances robotic grinding accuracy for turbine blades" matter for design?
This research demonstrates a practical method for real-time quality control in complex manufacturing. By providing immediate feedback on geometry, designers and engineers can ensure that production processes consistently meet stringent tolerances, reducing scrap and rework.
How can designers apply this research?
Incorporate real-time measurement and feedback mechanisms into automated manufacturing processes to achieve superior product quality and process efficiency.
What were the main findings?
The developed measuring device exhibits an accuracy one order of magnitude better than the required accuracy for turbine blades.. The device is suitable for real-time control of the robotic grinding process.. The device's output interface allows for integration into a robotic station's feedback loop.
What research method was used?
Experimental validation and system integration.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2020 journal from Sensors.
What should I do differently in my next project?
When designing automated manufacturing cells for high-tolerance components, consider integrating sensors that provide real-time dimensional feedback to the control system.
What are the limitations?
The study focuses on contact measurement, which may not be suitable for all geometries or materials. The effectiveness of the feedback loop depends on the responsiveness and calibration of both the measurement device and the robotic system.
Is there evidence that robotic grinding affects design outcomes?
The measurement device is highly accurate and repeatable, exceeding manufacturing requirements, and can be directly integrated into the robotic grinding system for real-time process control and final product inspection. This research demonstrates a practical method for real-time quality control in complex manufacturing Source: Sensors (2020).
Where does this measurement research apply?
Aerospace manufacturing, specifically robotic grinding of turbine blades It sits within final production research on designdex.org.

Related research topics

robotic grinding design research · evidence on robotic grinding · does robotic grinding improve design outcomes · measurement studies for designers · robotic grinding and measurement findings · final production research evidence