Modular Intelligent Fixture Design for Bodywork of Electric Vehicles
Keywords:Bodywork fixture, Electric vehicles, Artificial intelligence
A modular intelligent fixture is designed for bodywork of electric vehicles. An electromechanical system for the fixture is proposed and an intelligent algorithm to automate the car production is developed. In this system, the mechanism of movement is designed using an electric actuator and a transmission system including ball screw, bearings, slot and saddle movement system. This is particularly applied to the manufacturing of the bodywork of an electric vehicle. This application minimizes the time needed for fixture tools design and selection. An artificial intelligence code was developed for controlling the fixture system. The flexible system allows for simultaneous manufacturing of different bodyworks of electric vehicles.
Soleimanimehr H, Nategh MJ, Najafabadi AF, Zarnani A. The analysis of the Timoshenko transverse vibrations of workpiece in the ultrasonic vibration-assisted turning process and investigation of the machining error caused by this vibration. Precis. Eng. 2018;54:99-106.
Soleimanimehr H, Nategh MJ. An investigation on the influence of cutting?force’s components on the work?piece diametrical error in ultrasonic?vibration?assisted turning. AIP Conf. Proc. 2011;1315:1145-1150.
Soleimanimehr H, Nategh MJ, Amini S. Analysis of diametrical error of machined workpieces in ultrasonic vibration assisted turning. Adv. Mater. Res. 2011;264:1079-1084.
Arjangi A, Soleimanimehr H, Mirzaei M. Simulation of rock drilling process using smoothed-particle hydrodynamics method. Adv. J. Sci. Eng. 2020;1:52-58.
Nategh MJ. Machine tools-design: Design of tools and parts of tools. Scientific Publishing Center; 2007.
Nee AY, Tao ZJ. An advanced treatise on fixture design and planning. World Scientific; 2004.
Ponder C. “Prolog vs. Lisp,” United States Army Research Office; 1989.
Olaiz E, Zulaika J, Veiga F, Puerto M, Gorrotxategi A. Adaptive fixturing system for the smart and flexible positioning of large volume workpieces in the wind-power sector. Proc. CIRP 2014;21:183-188.
Hamedi M. Intelligent fixture design through a hybrid system of artificial neural network and genetic algorithm. Art. Intel. Rev. 2005;23:295-311.
Qin GH, Zhang WH, Wan M. A mathematical approach to analysis and optimal design of a fixture locating scheme. Int. J. Adv. Manufact. Technol. 2006;29:349-359.
Armillotta A, Moroni G, Polini W. To analytically estimate the 3D position deviation of a holes pattern due to fixturing. Proc. CIRP. 2013;10:186-193.
Monavary SH, Maani E, Nejat Pishkenari H, Alvandi M. Experimental analyses of connection torques on fixture vibration characteristics. Modares Mech. Eng. 2017;16:323-329.
Mohring HC, Wiederkehr P, Lerez C, Schmitz H, Goldau H, Czichy C. Sensor integrated CFRP structures for intelligent fixtures. Proc. Technol. 2016;26:120-128.
Parvaz H, Nategh MJ. Design of clamping system for workpiece with freeform geometry. Modares Mech. Eng. 2016;16:195-206.
Khodabandeh M, Ghassabzadeh Saryazdi M, Ohadi A. Fixture's clamp layout optimization for sheet metal with initial variation based on ant colony algorithm. Modares Mech. Eng. 2018;18:380-388.
Gardynski L, Caban J, Barta D. Research of composite materials used in the construction of vehicle bodywork. Adv. Sci. Technol. Res. J. 2018;12:181-187
Kasza Z. Thoughts about the lightning protection of some electric vehicles. Interdisciplin. Descrip. Complex Sys. Sci. J. 2019;17:497-502.
Rincon LEC, Ossa HOV, Cardona OL, Rodríguez VHR, Camargo RHA, Pareja JFZ. Chemical-metallographic test with nitric acid on the vehicle body and chassis of steel. Revis. Criminal. 2014;56:309-317.
Arsene S, Sebesan I, Popa G. The influence of wind on the pantograph placed on the railway electric vehicles bodywork. Proc. Soc. Behav. Sci. 2015;186:1087-11094.
Manea AM, Iozsa D, Stan C, Teodorescu C, Fratila G. Mathematical model for study of behavior of the bodywork at impact. SIAR Int. Cong. Auto. Trans. Eng. 2019;214-220.
SurblyS V, ZurAuliS V, SokoloVSkij E. Estimation of road roughness from data of on-vehicle mounted sensors. Eksploat. Niezawod. 2017;19.369-374.
How to Cite
Copyright (c) 2020 Advanced Journal of Science and Engineering
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.