scholarly journals Development of HTU-model variable chipping clearance cassava chipper

2021 ◽  
Vol 67 (No. 4) ◽  
pp. 171-180
Author(s):  
Samuel Kojo Ahorsu ◽  
Hayford Ofori ◽  
Ernest Kumah ◽  
Maxwell Budu ◽  
Cephas Kwaku Bosrotsi ◽  
...  
Keyword(s):  
Drive Shaft ◽  
Throughput Capacity ◽  
Average Throughput ◽  
Model Variable ◽  
Speed Range ◽  
Chip Geometry ◽  
Input Ratio

The objective of this research was to design, construct and evaluate a variable chipping clearance cassava chipper for processors which will produce uniform and varying cassava chip geometry for multipurpose usage. It consists of a drive shaft with varying chipping clearances (6, 18, and 28 mm) to produce varied chip geometry. The average throughput capacity of the chipper was found to be 475.5 kg·h<sup>–1</sup> at a speed range of 460–800 rpm with a chipping clearance of 6–28 mm. The average chipping efficiency ranges from a minimum–maximum of 76.6–99.4% for the selected operational speeds and chipping clearances. The chipping capacity and the output to input ratio is dependent on the operational speeds and chipping clearances of the machine.

scholarly journals Comparison of Two Locally Made Motorized Plantain Slicers

2021 ◽  
Vol 06 (03) ◽  
Author(s):  
Adedipe J.O ◽  
Keyword(s):  
Power Input ◽  
Equal Length ◽  
Throughput Capacity ◽  
Maximum Efficiency ◽  
Small Scale ◽  
Motor Speed ◽  
Average Throughput ◽  
Evaluation Result ◽  
Average Efficiency

This study focused on comparing two locally designed plantain slicers in other to economically and productively advice small scale chips – producers. The two selected slicing machines were horizontally inclined slicer (HIS) and vertically inclined slicer (VIS). These slicers were carefully chosen and it was ensured they had same power input, motor speed, and slicing blade of equal length. Evaluation result showed that the highest throughput capacity for HIS was 51.16 kg/hr and had an average throughput capacity of 50.10 kg/hr while the highest throughput capacity for VIS was 45.90 kg/hr and had an average throughput capacity of 45.34 kg/hr. The results of the slicing efficiencies showed that a maximum efficiency of 100 %, but had an average efficiency value of 92.84 %, while VIS had a maximum efficiency value of 87 % and an average efficiency value of 83.25 %. From the results of the throughput capacity and the efficiency of the two slicers, it can be concluded that HIS performed better and faster than VIS and is considered the better both economically and productively.

scholarly journals Clustering Optimization of LoRa Networks for Perturbed Ultra-Dense IoT Networks

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 76
Author(s):  
Mohammed Saleh Ali Muthanna ◽  
Ping Wang ◽  
Min Wei ◽  
Ahsan Rafiq ◽  
Nteziriza Nkerabahizi Josbert
Keyword(s):  
Distribution Function ◽  
Long Range ◽  
Clustering Algorithms ◽  
Throughput Capacity ◽  
Average Throughput ◽  
Iot Applications ◽  
Maximum Value ◽  
Throughput Model ◽  
Clustering Optimization

Long Range (LoRa) communication is widely adapted in long-range Internet of Things (IoT) applications. LoRa is one of the powerful technologies of Low Power Wide Area Networking (LPWAN) standards designed for IoT applications. Enormous IoT applications lead to massive traffic results, which affect the entire network’s operation by decreasing the quality of service (QoS) and minimizing the throughput and capacity of the LoRa network. To this end, this paper proposes a novel cluster throughput model of the throughput distribution function in a cluster to estimate the expected value of the throughput capacity. This paper develops two main clustering algorithms using dense LoRa-based IoT networks that allow clustering of end devices according to the criterion of maximum served traffic. The algorithms are built based on two-common methods, K-means and FOREL. In contrast to existing methods, the developed method provides the maximum value of served traffic in a cluster. Results reveal that our proposed cluster throughput model obtained a higher average throughput value by using a normal distribution than a uniform distribution.

Pre-Stressed Modal Analysis of the Shaft Based on ANSYS Workbench

2014 ◽  
Vol 1028 ◽  
pp. 105-110
Author(s):  
Xin Wang Song ◽  
Yan Wu ◽  
Yu An He ◽  
Fu Yang Chen
Keyword(s):  
Modal Analysis ◽  
Natural Frequencies ◽  
Three Dimensional ◽  
Drive Shaft ◽  
Stepper Motor ◽  
Vibration Modes ◽  
Three Dimensional Model ◽  
Speed Range ◽  
Stepper Motors ◽  
Ansys Workbench

This paper is based on the research on the drive shaft of the toothpaste tube conveyor, using Solidworks to create the three dimensional model of the frame of the soft tube conveyor and the drive shaft. And natural frequencies and vibration modes of preceding 6 modalities of pre-stress modal analysis are calculated with ANSYS Workbench. By analyzing the natural frequencies of the drive shaft and the resonance range of stepper motors, the reasonable speed range of the stepper motor can be acquired, in order to avoid the resonance between the drive shaft and stepper motor. At the same time, the reasonable installation location of synchronous belt wheels can be attained by analyzing each vibration mode.

Dynamic Damping and Stiffness Characteristics of the Rolling Tire

2001 ◽  
Vol 29 (4) ◽  
pp. 258-268 ◽  
Author(s):  
G. Jianmin ◽  
R. Gall ◽  
W. Zuomin
Keyword(s):  
Dynamic Behavior ◽  
Variable Parameter ◽  
Low Frequency ◽  
Vertical Load ◽  
Frequency Range ◽  
Inflation Pressure ◽  
Vehicle Simulation ◽  
Dynamic Damping ◽  
Speed Range ◽  
Stiffness Characteristics

Abstract A variable parameter model to study dynamic tire responses is presented. A modified device to measure terrain roughness is used to measure dynamic damping and stiffness characteristics of rolling tires. The device was used to examine the dynamic behavior of a tire in the speed range from 0 to 10 km/h. The inflation pressure during the tests was adjusted to 160, 240, and 320 kPa. The vertical load was 5.2 kN. The results indicate that the damping and stiffness decrease with velocity. Regression formulas for the non-linear experimental damping and stiffness are obtained. These results can be used as input parameters for vehicle simulation to evaluate the vehicle's driving and comfort performance in the medium-low frequency range (0–100 Hz). This way it can be important for tire design and the forecasting of the dynamic behavior of tires.

PENGARUH KEPEMIMPINAN DAN PENERAPAN MODEL ABSENSI FINGERPRINT TERHADAP PRODUKTIVITAS KERJA DENGAN DISIPLIN KERJA SEBAGAI VARIABEL MODERATING

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Netty Laura
Keyword(s):  
Sampling Method ◽  
Work Productivity ◽  
Probability Sampling ◽  
Independent Variables ◽  
Model Variable

ABSTRACT<br />This study aims to analyze the influence of Leadership and Application of Fingerprint Attendance Model to Work Productivity With Work Discipline as Moderating Variable. In this research,  sampling method used is accidental sampling method (non-probability sampling). In this study using three variables, independent variables are Leadership (X1) and Attendance Model Fingerprint (X2) with dependent variable is Productivity (Y) and moderating variable is Discipline (Z). Population in this research is employees at PT. ASTRA Daihatsu Motor, and samples are 85 respondents. The result of the research shows that Leadership variable is not able to moderate to Work Productivity, Fingerprint Attendance Model variable has a significant effect on Work Productivity, Work Discipline variable also has a significant effect on Work Productivity, Leadership and Work Discipline is not able to moderate to Work Productivity, Fingerprint and Discipline Attendance Model Work is also not able to moderate against Work Productivity<br />Keywords: Leadership, Fingerprint Attendance Model, Work Productivity, and Work Discipline.

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