Abstract
Abstract:Modeling and robotic handling of a plastic box buckle is discussed in this paper. The closing mechanism of the box buckle is simulated to determine the characteristic of the nonlinear load-deflection curve. An intelligent end-effector was designed and manufactured to handle the assembly with a robot. The closing force is measured by a built-in load cell and its values are processed by a micro-controller. The intelligent end-effector can be used in a robotic system, which deals with different snap-fit applications.
Highlights
The human haptic concept is important for numerous manual assembly operations [1]
Modeling and robotic handling of a plastic box buckle is discussed in this paper
The closing force is measured by a built-in load cell and its values are processed by a micro-controller
Summary
The human haptic concept is important for numerous manual assembly operations [1]. Industrial robots cannot provide haptic feedback [1]. In this paper an intelligent end-effector is. The load-deflection curve of most of the snap-fit elements contains an unstable branch. There are several approaches to develop an end-effector, which contains load cells [6], [7]. The main purpose of this paper is modeling and simulating the closing process of a plastic box buckle using nonlinear Finite Element Method (FEM), to compare the results obtained via an industrial robot. An intelligent end-effector has been developed, which contains a load cell to measure the forces during the assembly operation and a Micro-Controller (MC), which processes the measured data in order to determine snapthrough point
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