Performance Evaluation of Operational Parameters on RFID Controlled Conveyor System

Author(s):  
Ozgur Kabadurmus ◽  
Serdar Kilinc ◽  
Hulya Behret ◽  
Gulcin Uygun
Author(s):  
V. G. Monteiro ◽  
J. T. Tomita ◽  
C. Bringhenti ◽  
A. Vastenavond ◽  
J. H. B. Sampaio

Turbodrill is a type of hydraulic axial turbomachine that rotates a bit by the action of the drilling fluid on turbine blades, which converts the hydraulic power provided by the high pressure from drilling fluid into mechanical power through turbine stages. The evaluation of hydraulic turbine performance characteristics are important to define feasible rotational speed and mass flow to attend the bit torque requirements during drilling through the post-salt and salt layers. As a result, optimum operational parameters are proposed for gaining the required rotational speed and torque for post-salt environments. The turbine motor presented in this study was established by design methods based on classical aeronautical turbomachinery blade profile to supply 30k Newton-meters (Nm) of torque requested by a polycrystalline diamond compact (PDC) bit to power the complex heterogeneous layer of rock. The performance evaluation of this innovative hydraulic turbine with 200 stages was carried out using computational fluid dynamics (CFD). The simulation considers two different drilling fluid types, sea water and brine. Besides, different flow rates were considered to investigate how velocity vectors, pressure profile, output power and other performance parameters are affected. Due the large amount of data, the first and second stages of the turbine have been used to predict the performance characteristics. This assumption gives interesting results and avoids too heavy computational costs. A commercial CFD solver (ANSYS CFX 15.0®) was used to calculate the governing equations based on Reynolds-Averaged Navier-Stokes (RANS equations) with the addition of turbulence model. The two-equation Shear-Stress Transport (SST) turbulence model was used to account the effects of flow eddy viscosity.


Author(s):  
Mohd Shahmihaizan Mat Jusoh ◽  
Wan Mohd Aznan Wan Ahamad ◽  
Mohd Nadzim Nordin ◽  
Md Akhir Hamid ◽  
Sentoor Kumeran Govindasamy ◽  
...  

A processing system for young coconut husk was developed to cater abandoned young coconut husk in the coconut industry. This was a new invention as an alternative to the current old coconut husk extractor in the coconut industry. There were several machines developed; 1) chopping machine, 2) young coconut husk extractor, 3) conveyor system, and 4) rotary screener. This processing system was introduced to ensure the abandoned young coconut husk can be extracted into fiber and cocopeat. The evaluation results showed that the average machine capacity of the young coconut husk extractor was 350.79 kg/hour with the average weight ratio of unfiltered cocopeat and fiber produced at 70 % and 30 % respectively. The assessment of quality for fiber and cocopeat was done by using rotary screener that equipped with 16 mesh nets. The result of cocopeat was 2.8 % in the extracted fiber after extraction and filtration. Based on the analysis, cost of operation was RM 3.80/hr or equal to RM 668.70/month for the entire processing system. Total monthly income for machines owner was RM52,923.30 and the ROI was 88.21%. The results showed that the processing system was able to process the abandoned young coconut husk into fiber and cocopeat. Performance evaluation of each machine should be carried out in the future research to identify machines efficiency and durability.


2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Xiaoyang Zou ◽  
Hui Zheng ◽  
Yongzhen Mi

This paper focuses on studying the correlations of the performance of hard rock tunnel boring machines (TBMs) with operational and rock conditions. Firstly, a rigid-flexible coupled multibody dynamic model of an opening hard rock TBM is established for the analysis of its vibration. Then four performance indexes including mean vibration energy dissipation rate, dynamic specific energy (DSE), disc cutter wear rate, and load sharing coefficient are introduced and formulated, respectively, for evaluating the vibration level, excavation energy efficiency, cutter’s vulnerability to wear, and load transmission performance of cutterhead driving system of the TBM. Finally, numerical simulation results of the TBM tunneling performance evaluation are obtained and validated by on-site vibration measurement and tunneling data collection. It is found that operational and rock conditions exert important impact on TBM vibration level, excavation energy efficiency, and structure damage. When the type of rock to be cut changes from soft to hard with operational parameters held constant, TBM performance evaluated by these three indexes deteriorates significantly, and both the decrease of excavation energy efficiency and the increase of cutter wear rate caused by TBM vibration are obvious. This study provides the foundation for a more comprehensive evaluation of TBM performance in actual tunneling process.


Author(s):  
David C Joy

The electron source is the most important component of the Scanning electron microscope (SEM) since it is this which will determine the overall performance of the machine. The gun performance can be described in terms of quantities such as its brightness, its source size, its energy spread, and its stability and, depending on the chosen application, any of these factors may be the most significant one. The task of the electron gun in an SEM is, in fact, particularly difficult because of the very wide range of operational parameters that may be required e.g a variation in probe size of from a few angstroms to a few microns, and a probe current which may go from less than a pico-amp to more than a microamp. This wide range of operating parameters makes the choice of the optimum source for scanning microscopy a difficult decision.Historically, the first step up from the sealed glass tube ‘cathode ray generator’ was the simple, diode, tungsten thermionic emitter.


Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  

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