The biological substrates and organelle multi-targeted photosensitizers for ultra-efficient cancer treatment through photodynamic therapy (PDT) are highly desirable. Herein, a multiple pyridinium anchored photosensitizer containing the triphenylamine unit, TPA-2PI has...
Organelle-targeted two-photon near-infrared photosensitizers are highly desirable for photodynamic therapy (PDT) of cancer. Herein, in this contribution, we have developed a 2-dicyanomethylenethiazole based D-π-A structured near-infrared photosensitizer (TTR). TTR depicts...
Radial jet drilling (RJD) is applied to low-permeability and unconventional natural gas. A self-propelled bit chiefly affects the borehole length and drilling efficiency. Herein, for a straight-swirling mixed jet (SSMJ) bit, a prediction model of the drilling extension limit L EL was established by analysing the forces and pressure loss of RJD system. L EL of a specific project was calculated and the pressure loss and forces distribution were obtained. Additionally, the influence laws of the main factors on L EL were studied using the established model. The results indicated that the high-pressure hose contributes the main system pressure loss, and the recoil force of backward nozzles is the sole driving force of RJD. The recoil force of forward nozzle and friction between the hose and borehole constitute the main resistances. Increasing the pump pressure p b , backward nozzle diameter d b , and jet diffusion angle θ x and reducing forward nozzle diameter d f , impeller central hole diameter d m , and backward nozzle inclination angle θ b are conducive to improving L EL . However, larger p b and d b increase the hydraulic consumption, besides larger θ x or smaller d f , and d m will reduce the rock-breaking capability. From a sensitivity analysis, p b and d m have the maximum and minimum influence on L EL , respectively. Finally, prediction value L EL of an oil well in Eastern Sichuan can be up to 63.7 m. The results provide a guidance for the hydraulic parameters and key component selection, additionally bit structure optimization of RJD.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.