Technological capabilities of increasing surface quality of workpieces made of titanium alloy VT22 and stability of surface grinding

International Conference on Mechanical Engineering, Automation and Control Systems 2017

机械制造;无线电电子学;计算机科学

Soler, Ya I.^1 ; Salov, V.M.^1 ; Mai, D.S.^1

Irkutsk National Research Technical University, Lermontov St. 83, Irkutsk

664074, Russia^1

关键词: Artificial neural network models;    Processing technique;    Stability of surfaces;    Surface grinding;    Technological capability;    Workpiece;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/327/4/042123/pdf
DOI  :  10.1088/1757-899X/327/4/042123

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Surface grinding of flat workpieces made of alloy VT22 was conducted by the periphery of a highly porous wheel (HPW) from cubic boron nitride CBN30 B107 100 OV K27 KF40 with three processing techniques (ij). They are 10-cross-feed per stroke, HPW cutting into a workpiece changes alternately from up to down; 12-cross-feed per double stroke during the up HPW cutting-in at the working stroke; 22-cross-feed per double stroke during the down HPW cutting-in at the working stroke. With the involvement of artificial neural network models, it was revealed that to improve the quality of surfaces and stability of its formation, grinding should be conducted if ij = 12.