可重构连续履带机器人重量优化的生成设计

Daniil Valme, K. Kudelina, Diana Belolipetskaja, A. Rassõlkin, T. Vaimann, A. Kallaste
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引用次数: 1

摘要

机电一体化设备的快速成型技术越来越受到人们的欢迎。增材制造技术的快速发展和广泛可用的开源微控制器允许在业余爱好和大学项目水平上实现想法。目前的工作提出了可重构连续履带机器人的权重优化,作为塔林理工大学的学生论文项目开发。本文介绍了基于牵引力要求的原型机开发阶段和开发后电机驱动优化选择的优化方法。作为改进机械结构的趋势方法之一,选择生成设计技术来进一步开发原型,并降低开发平台所需的电机驱动系统的额定功率。此外,打印原型所需的时间也减少了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generative Design in Weight Optimization of Reconfigurable Continuous Track Robot
Rapid prototyping of mechatronic devices is becoming more and more popular nowadays. The rapid development of additive manufacturing technologies and a wide range of available open-source microcontrollers allows realizing ideas on both hobby and university project levels. Current work presents a weight optimization of the reconfigurable continuous track robot, developed as a student theses project at Tallinn University of Technology. The paper describes prototype development stages and post-development optimization methodology for optimal motor-drive selection based on the requirements of traction forces. As one of the trending methods for improving mechanical construction, the generative design technique was selected to further development of the prototype, and to reduce the rated power of the motor-drive system required for developed platform. Moreover, the time needed for the printing of the prototype was reduced.
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