Performance-Driven Design Optimization of Linear Belt Drives using Analytical Modeling, Virtual Prototyping, and Experimental Validation

Abstract

This paper proposes a design optimization strategy aimed at improving the performance of a linear belt drive system. The elasticity of the belt and non-linear disturbances causes undesirable vibrations and reduces the trajectory tracking accuracy, affecting the precise positioning of the drive and reducing its efficiency. These issues are addressed by developing kinematics and dynamics models of the drive which include position-dependent stiffness, damping, and non-linear frictions. Based on these models, design optimization and control strategies are devised to enhance the efficiency of the system. To analyze and further enhance the performance of the system under actual operating conditions, a virtual prototype (V.P) model of this drive is developed using the multi-body dynamics simulations tool. This technique reduces the time and cost of prototyping by enabling design iterations without the need for physical prototyping. The results obtained from the V.P and analytical modeling are validated experimentally to ensure their accuracy and effectiveness in capturing the behavior of the drive. In the end, a reliable and cost-effective solution is provided for designing a high performance linear belt drive system.