Title :
Predicting and Verifying Forces on Boring Parameters
Author :
Zhaoqian Wang ; Kai Zhang ; Wang, W.S. ; Haifeng Zhao
Author_Institution :
Sch. of Mech. & Autom., Northeastern Univ., Shenyang, China
Abstract :
It is notoriously known there are lots of factors influence cutter efficiency and tool life for boring operations. The key problem is how much each influenced and where is the best balance point. This paper uses the orthogonal test method to simulate and verified the influence by the most two important cutting parameters, like cutting speed, cutting penetration (which is the same as cutting depth as in the mechanical machine). Firstly, we used the optimized model and designed a new test mechanism. In the simulation part, we use Rock Failure Process Analysis in simulates the rock fragments and the changes of stress field. With these new numerical algorithms, we can simulate the mass and cutting forces in the boring, and we finally find each balance point in the real boring in different cutting parameters. And we also updated a new liner cutting test experimental mechanism, which can simulate the real boring operations in the lab when we set different cutting parameters. We use the simulation and test method to verify our predicting result. We show that the best penetration is 3.8mm and the best cutting speed is 2.1mm/s for 17 inches cutter ring in our cutting test. However, since we understand the complex of different factors we can bound the balance point to those values in certain boring condition.
Keywords :
boring; cutting; cutting tools; force; production testing; reliability; balance point; boring operations; boring parameters; cutter efficiency; cutting parameters; cutting penetration; cutting speed; force prediction; force verification; liner cutting test experimental mechanism; orthogonal test method; rock failure process analysis; rock fragments; stress field changes; tool life; Boring; Educational institutions; Force; Magnetic heads; Predictive models; Rocks; Stress; cutter forces; cutting parameters; predicting model; tool lifetime;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
DOI :
10.1109/ISCID.2013.101