Welding Robot Dust Detection Threshold Method

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Welding robots often erroneously detect dust due to noise-generated temporary resistance value decreases and rapid increases caused by foreign matter, leading to improper operations and abnormal welding current settings.

Innovation Solution

A method that monitors resistance value variations over time, setting thresholds to differentiate between dust generation and noise or foreign matter-induced changes, preventing erroneous dust detection and ensuring accurate welding operations by determining dust presence based on sustained resistance value changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the welding robot monitors resistance value to detect dust, then dust detection capability is improved, but erroneous detection due to noise and foreign matter increases

Engineering Contradiction:
Improvedust detection accuracyVSAvoidoperation reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The dust detection process is segmented into multiple stages: initial resistance value acquisition before welding, real-time resistance value monitoring during welding, and post-processing analysis. This segmentation allows the system to distinguish between different phases of welding and apply appropriate detection thresholds for each phase, reducing erroneous detections.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary action by acquiring the initial resistance value before welding starts and setting a reference threshold based on this initial value. This preliminary setup enables the system to quickly distinguish between normal resistance variations and actual dust generation events during welding.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 3:

The detection method dynamically adjusts the resistance value threshold based on the initial resistance value and welding conditions. By changing the threshold parameter adaptively rather than using a fixed value, the system maintains high detection accuracy across different welding scenarios while minimizing false positives.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If the welding robot responds to resistance value decrease by performing dust detection processes, then welding quality is improved, but productivity decreases due to unnecessary operations

Engineering Contradiction:
Improvewelding qualityVSAvoidwelding efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The system introduces an intermediary filtering mechanism that analyzes the pattern and duration of resistance value changes before triggering dust detection processes. This intermediary layer distinguishes between temporary noise-induced resistance drops and genuine dust generation events, allowing the system to perform dust detection only when truly necessary.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes the detection parameters dynamically based on welding conditions. By adjusting the threshold and response time parameters according to the initial resistance value and real-time welding state, the system maintains high welding quality while avoiding unnecessary dust detection operations that would reduce productivity.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Prevents erroneous dust detection and subsequent improper operations by accurately distinguishing between dust and noise or foreign matter-induced resistance changes, ensuring reliable welding processes.

Implementation Method 1

when welding operation is performed, for example, under condition in which the spot welding guns of two adjacent welding robots are close to each other, the magnetic field of the first spot welding gun affects that of the second spot welding gun, so that the resistance value may temporarily decrease

Methodology Applied
Scientific EffectMagnetic field: Magnetic Field

Implementation Method 2

when foreign matter such as dust enters between material members to be welded, the initial resistance value for resistance welding extremely increases compared with that at the start of normal resistance welding. Then, the foreign matter melts, so that the initial resistance value may rapidly decrease

Methodology Applied
Scientific EffectMelting: Melting

Data Source

PatentUS8969751B2Method of detecting dust and method of preventing erroneous determination of dust detection
Publication Date: 2015.03.03 HONDA MOTOR CO LTD
  • US8969751B2 patent drawing
  • US8969751B2 patent drawing
  • US8969751B2 patent drawing

AI summary

A method of detecting dust includes: a first step of monitoring a resistance value welding and determining if a variation amount of the resistance value per unit time is equal to or more than a first threshold; a second step of monitoring the resistance value after the first step and determining if a variation amount of this resistance value per unit time is equal to or less than a second threshold; a third step of determining if a difference value between a resistance value for calculating the variation amount equal to or more than the first threshold and a resistance value for calculating the variation amount determined equal to or less than the second threshold is equal to or more than a third threshold; and a fourth step of determining that dust is generated when the difference value is equal to or more than the third threshold.