Analysis of thrust force in drilling B4C-reinforced aluminium alloy using genetic learning algorithm

Autor: Kemal Aldaş, Kenan Kütükde, İskender Özkul, Yavuz Zumrut, Ahmet Taskesen
Přispěvatelé: Mühendislik Fakültesi, Ozkul, iskender -- 0000-0003-4255-0564
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Popis: WOS: 000343722400019
This paper presents an analysis for the prediction of thrust force in drilling of aluminium-based composites, reinforced with boron-carbide B4C produced with the powder-metallurgy (PM) technique. The formulation was derived on experimental bases. The experiments were conducted with various cutting tools and parameters on conditions of dry machining in a computer numerical control (CNC) vertical machining centre. The thrust forces were obtained by measuring the forces between the drill bit and the work pieces during the experiments. In the experiments, particle fraction, feed rate, spindle speed and drill bit type were used as input parameters, and thrust force was the output data for the gene expression programming (GEP) software. Customizing for formulation in order to describe the problem was generated by GEP, and it was analysed from different perspectives and verified the reliability of equation.
Gazi University [07/2008-8]
This research was supported by Gazi University under Project Number 07/2008-8. The authors wish to thank TOBB Economy and Technology University for providing laboratory facilities during the research work. The authors are grateful to Mitas Civata and Mr. Serdar Iskender for carrying out the tensile and impact tests on the fabricated composite materials.
Databáze: OpenAIRE