Short answer

When designing robotic machining systems, incorporate real-time monitoring to compensate for inherent positional errors, enabling higher precision and cost-effectiveness.

Field: Final Production
Source: The International Journal of Advanced Manufacturing Technology (2016)
Method: Experimental testing adapted from ISO 9283 performance criteria.
Evidence: Moderate effect

The inherent positional inaccuracies of hexapod robots in non-cutting stages of robotic machining can lead to dimensional errors, but these may be mitigated through in-situ condition monitoring to enable higher tolerance machining and reduce overall manufacturing costs. This final production research insight is drawn from a 2016 study published in The International Journal of Advanced Manufacturing Technology. Using Experimental testing adapted from iso 9283 performance criteria., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing robotic machining systems, incorporate real-time monitoring to compensate for inherent positional errors, enabling higher precision and cost-effectiveness.

Study

Final ProductionHigh ImpactModerate effect

Hexapod robot positional accuracy impacts large-scale manufacturing cost reduction potential

The International Journal of Advanced Manufacturing Technology · 2016

Key Findings

01Hexapod robots exhibit significant positional errors prior to the cutting stage.
02A portion of these pre-cutting errors can potentially be compensated for using in-situ condition monitoring.
03Mitigating these errors can facilitate higher tolerance machining, making robotic machining more viable for cost reduction in large-scale industries.

Application

Design takeaway

When designing robotic machining systems, incorporate real-time monitoring to compensate for inherent positional errors, enabling higher precision and cost-effectiveness.

How to apply

When evaluating robotic machining solutions, conduct thorough positional accuracy tests and explore the integration of sensor-based feedback loops for real-time error correction.

Project actions

01When designing a robotic system, think about how accurate it needs to be and if a standard robot can achieve that.
02Consider adding sensors to your robot to measure its position and movement in real-time.

Method & Evidence

AimTo investigate the accumulation of positional errors in hexapod robots during non-cutting stages of robotic machining programs and assess their impact on dimensional accuracy.

MethodExperimental testing adapted from ISO 9283 performance criteria.

ProcedureA hexapod robot's positional accuracy and repeatability were measured using a procedure adapted from ISO 9283, focusing on errors introduced during non-cutting phases of its operation.

ContextLarge-volume manufacturing, robotic machining applications.

Variables

IVNon-cutting stages of robotic machining programs.

DVPositional accuracy and repeatability (dimensional errors).

CVType of robot (hexapod), specific machining application, testing procedure (adapted from ISO 9283).

Strengths & Limitations

Strengths

+Applies a recognized standard (ISO 9283) for performance testing.
+Addresses a practical challenge in industrial manufacturing.
+Proposes a potential solution (in-situ monitoring) for error mitigation.

Limitations

The accuracy of the measurements taken during testing can be a limitation. Also, the specific type of robot used might not represent all robots.

Reliability & validity

Reliability could be improved by repeating measurements multiple times and averaging results. Validity is supported by adapting established testing procedures from ISO 9283.

Think critically

To what extent can in-situ condition monitoring fully compensate for the inherent positional limitations of industrial robots in achieving high-precision manufacturing?

Design Principles

"In robotic manufacturing, integrate real-time condition monitoring to actively compensate for system inaccuracies and achieve desired production tolerances."

This research highlights a critical trade-off in adopting robotic machining for large-volume manufacturing. While the 'process-to-part' concept offers cost savings by reducing component movement, the positional limitations of robots like hexapods must be addressed to achieve the required precision for feature machining.

What This Means for Your Design

Robots used for making things can be a bit wobbly before they start cutting. This study found that by watching the robot closely while it works, we can fix some of that wobble, making the final product more accurate and cheaper to make.

How to use in your project

1.Reference this study when discussing the limitations of robotic systems and the importance of accuracy in manufacturing processes.

Add to My Project

Quick Cite

Paragraph starter

Research by Barnfather et al. (2016) indicates that hexapod robots, while promising for cost reduction in large-scale manufacturing via the 'process-to-part' concept, exhibit significant positional inaccuracies during non-cutting stages. However, the study suggests that implementing in-situ condition monitoring can help offset a portion of these errors, thereby enabling higher tolerance machining and enhancing the viability of robotic machining for cost-effective production.

Source

The International Journal of Advanced Manufacturing Technology

Positional capability of a hexapod robot for machining applications

journal · 2016

View source

Questions About This Research

What does the research say about hexapod robot positional accuracy impacts large-scale manufacturing cost reduction potential?: When designing robotic machining systems, incorporate real-time monitoring to compensate for inherent positional errors, enabling higher precision and cost-effectiveness. Evidence: The International Journal of Advanced Manufacturing Technology (2016).
Why does "Hexapod robot positional accuracy impacts large-scale manufacturing cost reduction potential" matter for design?: This research highlights a critical trade-off in adopting robotic machining for large-volume manufacturing. While the 'process-to-part' concept offers cost savings by reducing component movement, the positional limitations of robots like hexapods must be addressed to achieve the required precision for feature machining.
How can designers apply this research?: When designing robotic machining systems, incorporate real-time monitoring to compensate for inherent positional errors, enabling higher precision and cost-effectiveness.
What were the main findings?: Hexapod robots exhibit significant positional errors prior to the cutting stage.. A portion of these pre-cutting errors can potentially be compensated for using in-situ condition monitoring.. Mitigating these errors can facilitate higher tolerance machining, making robotic machining more viable for cost reduction in large-scale industries.
What research method was used?: Experimental testing adapted from ISO 9283 performance criteria..
How strong is the evidence?: Evidence strength is rated Moderate effect, based on a 2016 journal from The International Journal of Advanced Manufacturing Technology.
What should I do differently in my next project?: When evaluating robotic machining solutions, conduct thorough positional accuracy tests and explore the integration of sensor-based feedback loops for real-time error correction.
What are the limitations?: The study focuses on a specific hexapod robot and may not be generalizable to all robotic machining systems. The effectiveness of in-situ monitoring for error offset requires further validation across various machining conditions.