Assessment of ISO Standardisation to Identify an Industrial Robot's Base Frame. (April 2022)

• Record Type: Journal Article
• Authors: McGarry, Lauren; Butterfield, Joseph; Murphy, Adrian
• Is Part Of: Robotics and computer-integrated manufacturing. Volume 74(2022)
• Publication Date: 2022-04
• Subjects: Industrial robot -- Robot base frame -- Industry 4.0 -- Accuracy -- ISO 9283 -- ISO/TR 13309; Robots, Industrial -- Periodicals; Computer integrated manufacturing systems -- Periodicals; Robotics -- Periodicals; Robots industriels -- Périodiques; Productique -- Périodiques; Robotique -- Périodiques; 670.285
• DOI: 10.1016/j.rcim.2021.102275
• Languages: English
• ISSNs: 0736-5845

Abstract

Highlights: BS EN ISO 9283:1998 and ISO/TR 13, 309:1995 require a definitive method on how to construct the robot base frame with modern equipment and associated metrology software. Bespoke methods in the literature can vary the robot base frame position, when repeated. A design of experiments based method is presented that investigates if factors used in the robot base frame construction affect the repeatability of the process, and if they have a statistically significant influence on the outcome. Abstract: There is a growing need for industrial robots to undertake high tolerance operations in line with Industry 4.0 (I4.0) demands and requirements. This requires robotic accuracy to be understood and quantified within appropriate bounds, relative to their application area. One such area is complex aerospace assembly where robotic accuracy is of particular importance if the full potential and benefits of I4.0 are to be realised in the sector. The standards BS EN ISO 9283:1998 and ISO/TR 13, 309:1995 outline the requirements for calculating an industrial robot's accuracy. The standards highlight equipment capable of achieving this and they note that the robot base frame (RBF) must be determined as part of the process. The RBF is an exact position within the robot, and therefore it should be established with both accuracy and precision. However, a specific process or approach is not provided in either standard for the determination of a RBF. This has resulted in the use of bespoke methods by various researchers for the determination of their RBF using metrological equipment and associated software. These ad-hoc methods are not globally applied and the rationale and justification for their use remains unpublished. Previous research that presented a process used to construct the RBF, resulted in a varying RBF origin position when repeated. The work presented in this paper provides the basis for a common approach to the determination of a RBF which integrates metrology hardware with a Design of Experiments (DOE) approach to select an appropriate measurement routine. The DOE approach investigates how different factors (e.g. robot axis used, number of point positions used, their positions, and repetitions of their occurrence) influence the repeatability in establishing the RBF, by measuring the positions of points that the robot attains using different levels for each factor. This study used a Universal Robot to develop and demonstrate the proposed method for RBF determination using the factors that were found to affect point repeatability. This new method was validated by comparing the outcome of the applied process to four methods that used random combinations of factors. The approach was found to increase the repeatability in establishing the RBF origin point by 93.4%, compared to a previous method that used arbitrarily chosen factors.