Graphic Simulation of Robot Process Capability

Abstract

Develops a graphic simulation system in conjunction with a kinematic error model to assist management in making investment decisions. Uses Taguchi‐type experimental design to predict the robot process capability. Two sets of charts are created by the system to represent the repeatability and accuracy of the robot performing a given operation. These charts are, first, histograms in the x, y, and z directions and, second, scattered ellipses in the xy, yz, and xz planes. Central to the system are three characteristics: a description of the geometric error and of the kinematic error; a common function to request and display a robot moving from one position to the next; and a family of charts showing the capability of the robot implementing a given task. The results provided by the system can help management to analyse robot projects concerning robot selection and implement action in a more systematic manner.

A performance evaluation methodology for robotic machine tools used in large volume manufacturing

“…Thermal concerns are supported by Kamrani et al [10]. Olabi et al highlight that trajectory planning is a key nongeometric contributor to path error [11].…”

Process capability – a surrogate measure of process robustness: a case study

“…In Phase 2, the univariate PCI developed by Kane (1986) and the MVPCI (C PM ) developed by Shahriari et al (1995) is used as a measure of process robustness (Kazmer and Roser, 1999;Koc et al, 2011;Frey et al, 2000) using multiple performance characteristics (Periyanan and Natarajan, 2014). An experimentation scheme is proposed which comprises combined array design proposed by Taguchi (1986) and simulation (Shoemaker and Tsui, 1993;Johnson and Wichern, 2006;Robinson et al, 2006;Wu and Hamada, 2000;Aomar, 2006;Wei et al, 1994;Mayer and Benjamin, 1992) to find the value of the process capability indices. For monitoring the performance of a process in term of robustness is proposed using Shewhart's R-chart in Phase 3.…”

“…Preforms obtained by hardening and tempering show better performance for predicting the properties of the formed tubes and accuracy. Liu et al (2003) developed a finite element modelling to simulate the thermo-mechanical behaviours during quenching and tempering of a rotor (Wei et al, 1994;Chaouch et al, 2012;Zabett and Mohamadi Azghandi, 2012). Wei et al (1994) applied graphic simulation and Taguchi-type experimental design to predict the robot process capability.…”

“…Liu et al (2003) developed a finite element modelling to simulate the thermo-mechanical behaviours during quenching and tempering of a rotor (Wei et al, 1994;Chaouch et al, 2012;Zabett and Mohamadi Azghandi, 2012). Wei et al (1994) applied graphic simulation and Taguchi-type experimental design to predict the robot process capability. Zhang et al (2012) were investigated the effects of niobium on tempered microstructure in the scanning electron microscope.…”