Prediction of radial bit cutting force in high-strength rocks using multiple linear regression analysis

Yılmaz, N. Günes; Yurdakul, Murat; Göktan, R.M.

doi:10.1016/j.ijrmms.2007.02.005

Cited by 80 publications

(22 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite their limitation of high tool wear rate in cutting hard and abrasive rocks, drag picks have a promising and potentially useful future through the development of abrasive resistant tip materials and optimised bits design. These advantages can be coupled with water jet assisted cutting thus enhancing their cutting capacity to higher strength rocks [7]. This process is cyclical and the cutting force will increase again as the pick penetrates forward along the rock surface, leading to a typical saw-tooth shape of the force-time diagram for a pick.…”

Section: Rock Cutting Mechanismmentioning

confidence: 99%

“…One aspect that limits the current excavation of hard rock is the capacity of cutting tools to bear the high forces [4]. Prediction of the magnitude of cutting forces applied to cutting tools under different cutting scenarios is of paramount importance in bit and machine design, as it can be used to estimate the cutterhead torque and cutter motor power for a given set of geological formation, cutterhead design, and operational conditions of the machine [7,39]. Therefore, it is vitally important to develop accurate pick force estimation models and to understand the basic rock cutting mechanism, they provide a better insight into the interaction between cutting tools and rock.…”

Section: Research On Cutting Forcesmentioning

confidence: 99%

“…Estimation of tool forces from full-scale laboratory rock cutting test is the most widely accepted, reliable and precise method [7,[40][41][42]. Although the full-scale cutting test is usually a very complicated, costly and a time consuming process, and there are only a few of such laboratories 11 around the world, the cutting forces measured from the laboratory can be directly input into cutterhead design software to determine the capability and efficiency of the selected cutterhead and excavation machines [2,7,28,[41][42][43].…”

Section: Research On Cutting Forcesmentioning

confidence: 99%

“…Although the full-scale cutting test is usually a very complicated, costly and a time consuming process, and there are only a few of such laboratories 11 around the world, the cutting forces measured from the laboratory can be directly input into cutterhead design software to determine the capability and efficiency of the selected cutterhead and excavation machines [2,7,28,[41][42][43]. Analytical, semi-empirical and empirical models can be employed as an alternative way to estimate the pick forces when the standard rock cutting rig is not available.…”

Section: Research On Cutting Forcesmentioning

confidence: 99%

“…While point attack picks with conical shape inserts are more durable and have a self-sharpening property due to their free rotation in tool holders, and hence wear evenly which prolongs tool life. But their free rotation in the tool holders is not always the case due to operational and design reasons [1,[5][6][7]. Underground coal mining has shifted away from cyclic to continuous mining, achieving high rates of excavation and high productivity through the employment of mechanised excavation methods.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A study of rock cutting with point attack picks

Shao¹

View full text Add to dashboard Cite

Hard rock mining is currently carried out by drill-and-blast. With the increasing demand for automated, selective and remote mining, the industry hopes to replace conventional drill-and-blast with mechanical excavation. Modern mining machines have sufficient power for cutting hard rocks.The 'bottleneck' which limits the use of mechanical excavation for hard rock mining is the cutting tool wear. Rock cutting tools usually use tungsten carbide (WC) tipped picks. The WC tipped picks are effective and adequate for cutting relatively soft rocks, but unsuitable for hard rocks. To address this issue, CSIRO has developed Super Material Abrasive Resistant Tool (SMART*CUT), aiming at providing an effective cutting tool for hard rock mining. The key feature of the SMART*CUT technology is replacing the conventional WC with thermally stable diamond composite (TSDC) as the cutting tip of the pick. The main advantages of the TSDC tipped picks include (a) good thermal stability, (b) high wear resistance and (c) the ability to mine relatively hard deposits in comparison with the WC tipped picks. The disadvantage of the TSDC tipped picks is their low fracture toughness. To optimise the application of the TSDC tipped picks, this work aimed to improve the understanding of the rock cutting process and mechanisms, in particular to gain a better insight into the interaction between tools and rocks through systematic experimental and numerical studies. The rock cutting processes with the TSDC and WC tipped point attack picks were comprehensively investigated in terms of cutting force, specific energy, tool tip temperature and cutting chips.A study of rock cutting was systematically carried out using the Taguchi method to determine the effects of the cutting parameters on the performance of the TSDC tipped picks. The signal-to-noise (S/N) ratios and the analysis of variance (ANOVA) were applied to investigate the effects of the depth of cut, attack angle, spacing and cutting speed on the mean cutting, normal and bending forces involved in the rock cutting process. The statistical significance of process factors was determined and the optimum parametric combinations were successfully identified. Furthermore, the multiple linear regression (MLR) and artificial neural network (ANN) techniques were adopted to develop the empirical models for predicting the mean cutting and normal forces with the TSDC tipped picks. The established empirical force models showed good predictive capabilities with acceptable accuracy. The ANN models offered better accuracy and less deviation than the MLR models.The pick cutting temperature involved in rock cutting was measured using thermal infrared imaging and embedded thermocouple techniques. The temperature distribution in the cutting area was acquired by using a thermal infrared camera with high speed imaging rates. The results showed that II the TSDC tipped picks generated much lower thermal energy and much fewer sparks than the WC tipped picks. The temperature at the pick tip in the contact area wi...

show abstract

Section: Rock Cutting Mechanismmentioning

confidence: 99%

Section: Research On Cutting Forcesmentioning

confidence: 99%

Section: Research On Cutting Forcesmentioning

confidence: 99%

Section: Research On Cutting Forcesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A study of rock cutting with point attack picks

Shao¹

View full text Add to dashboard Cite

show abstract

In silico prediction of drug‐induced rhabdomyolysis with machine‐learning models and structural alerts

Cui

Liu

Zhang

et al. 2019

J of Applied Toxicology

View full text Add to dashboard Cite

Drug-induced rhabdomyolysis (DIR) is a serious adverse reaction and can be fatal. In the present study, we focused on the modeling and understanding of the molecular basis of DIR of small molecule drugs. A series of machine-learning models were developed using an Online Chemical Modeling Environment platform with a diverse dataset. A total of 80 machine-learning models were generated. Based on the topperforming individual models, a consensus model was also developed. The consensus model was available at https://ochem.eu/model/32214665, and the individual models can be accessed with the corresponding model IDs on the website. Furthermore, we also analyzed the difference of distributions of eight key physicochemical properties between rhabdomyolysis-inducing drugs and non-rhabdomyolysisinducing drugs. Finally, structural alerts responsible for DIR were identified from fragments of the Klekota-Roth fingerprints.

show abstract