RoboDK Case Studies ABB Robot Calibration

	ABB Robot Calibration RoboDK

ABB Robot Calibration

RoboDK

Technology Category	Robots - Robot Application & Programming Software
Applicable Industries	Equipment & Machinery
Applicable Functions	Field Services
Use Cases	Autonomous Robots
Challenge	The company manufactures marina products through robot milling but observed important errors in the surface quality of their machined parts. It uses an ABB IRB 6640-130/3.2 robot, which has 130 kg payload, 3.2 m reach, 0.050 mm repeatability, and was not factory calibrated. On top of that, the robot is placed on a linear track, which introduces yet another source of errors. Read More
About Customer	A Auckland-based (New Zealand) company. Read More
Customer Name	Undisclosed Read More
Solution	The robot calibration solution was delivered using RoboDK. The software tool for robot simulation and off-line programming (OLP). This simulation and OLP platform is highly versatile and can deploy the calibration methods developed in our lab. It currently supports more than 200 robots from 10 different manufacturers. The robot calibration can be performed in 4 steps: 1. Reference frame calibration (6 measurements) 2. Tool calibration (7 measurements) 3. Robot calibration (50-80 measurements) 4. Validation (optional, as many measurements as desired) The measurement acquisition is fully automated by RoboDK and the calibration can be performed in less than an hour using the C-Track or a FARO laser tracker. The C-Track is a photogrammetry-based optical CMM developed by Creaform. It is a bit less accurate than a laser tracker (volumetric accuracy is 0.065 mm) and has a smaller measurement volume, but is way more compact and less than half the price of a laser tracker. Furthermore, it can measure the pose of the robot’s end-effector (not just the position) and (if properly used) is not influenced by vibrations or air currents. Read More Log in to view content
Data Collected	Accuracy, Error Logs, Machine Performance Read More Log in to view content
Contents

Technology Category

Robots - Robot Application & Programming Software

Applicable Industries

Equipment & Machinery

Applicable Functions

Field Services

Use Cases

Autonomous Robots

Challenge

The company manufactures marina products through robot milling but observed important errors in the surface quality of their machined parts. It uses an ABB IRB 6640-130/3.2 robot, which has 130 kg payload, 3.2 m reach, 0.050 mm repeatability, and was not factory calibrated. On top of that, the robot is placed on a linear track, which introduces yet another source of errors.

About Customer

A Auckland-based (New Zealand) company.

Customer Name

Undisclosed

Solution

The robot calibration solution was delivered using RoboDK. The software tool for robot simulation and off-line programming (OLP). This simulation and OLP platform is highly versatile and can deploy the calibration methods developed in our lab. It currently supports more than 200 robots from 10 different manufacturers. The robot calibration can be performed in 4 steps: 1. Reference frame calibration (6 measurements) 2. Tool calibration (7 measurements) 3. Robot calibration (50-80 measurements) 4. Validation (optional, as many measurements as desired) The measurement acquisition is fully automated by RoboDK and the calibration can be performed in less than an hour using the C-Track or a FARO laser tracker. The C-Track is a photogrammetry-based optical CMM developed by Creaform. It is a bit less accurate than a laser tracker (volumetric accuracy is 0.065 mm) and has a smaller measurement volume, but is way more compact and less than half the price of a laser tracker. Furthermore, it can measure the pose of the robot’s end-effector (not just the position) and (if properly used) is not influenced by vibrations or air currents.

Data Collected

Accuracy, Error Logs, Machine Performance

Impact #1	[Efficiency Improvement - Quality Assurance] The ABB robot’s mean position error was improved from 3.443 mm to 0.765 mm, as validated in 315 arbitrary robot configurations. The robot position accuracy was also validated by milling a series of slots equally spaced and machined at different tool orientations. After calibration, machined distance errors between slots were reduced by half or better.

Impact #1

[Efficiency Improvement - Quality Assurance]
The ABB robot’s mean position error was improved from 3.443 mm to 0.765 mm, as validated in 315 arbitrary robot configurations. The robot position accuracy was also validated by milling a series of slots equally spaced and machined at different tool orientations. After calibration, machined distance errors between slots were reduced by half or better.

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Overview

ABB Robot Calibration

Operational Impact