scholarly journals Search for rational ratio of maximum speed and minimum fuel consumption of the vehicle

2021 ◽  
Vol 285 ◽  
pp. 07011
Author(s):  
Maxim Sidorov ◽  
Igor Eliseev ◽  
Vladimir Sidorov ◽  
Svetlana Golubina
Keyword(s):  
Fuel Consumption ◽  
Mass Distribution ◽  
Great Influence ◽  
Gear Ratio ◽  
Maximum Speed ◽  
Operational Parameters ◽  
Supporting Surface ◽  
Final Drive ◽  
Moment Of Resistance ◽  
Two Parameters

The gear ratio of the final drive and the distribution of the vehicle mass along the axles has a great influence on the technical and operational parameters of the vehicle. The article discusses the use of mathematical modelling in the MATLAB Simulink and the planning of the experiment to identify the optimal values of the final drive ratio and the mass distribution along the axles when driving a vehicle on a horizontal reference surface. A computational model for determining the moment of resistance on the wheels is developed when the vehicle moves along a supporting surface without slopes. The roughness and unevenness of the surface were not taken into account in the above model. The response function is obtained by studying the dependence of change in two parameters: the speed and fuel consumption of the car from two factors of variation: the final drive ratio and the mass distribution along the axles. The steep ascent method is used to determine the optimal parameters of the vehicle design, which allow achieving maximum speed with minimum fuel consumption when the vehicle is moving on a horizontal supporting surface.

Exergy analysis of a turboprop engine at different flight altitude and speeds using novel consideration

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ali Dinc ◽  
Yousef Gharbia
Keyword(s):  
Fuel Consumption ◽  
Thermal Efficiency ◽  
Exergy Efficiency ◽  
Specific Fuel Consumption ◽  
Flight Altitude ◽  
Fuel Flow ◽  
Turboprop Engine ◽  
Shaft Power ◽  
Two Parameters ◽  
The Relationship

Abstract In this study, exergy efficiency calculations of a turboprop engine were performed together with main performance parameters such as shaft power, specific fuel consumption, fuel flow, thermal efficiency etc., for a range of flight altitude (0–14 km) and flight speeds (0–0.6 Mach). A novel exergy efficiency formula was derived in terms of specific fuel consumption and it is shown that these two parameters are inversely proportional to each other. Moreover, a novel exergy efficiency and thermal efficiency relation was also derived. The relationship showed that these two parameters are linearly proportional to each other. Exergy efficiency of the turboprop engine was found to be in the range of 23–33%. Thermal efficiency of the turboprop engine was found to be around 25–35%. Exergy efficiency is higher at higher speeds and altitude where the specific fuel consumption is lower. Conversely, exergy efficiency of the engine is lower for lower speeds and altitude where the specific fuel consumption is higher.

scholarly journals ATCO radar training assessment and flight efficiency: the correlation between trainees’ scores and fuel consumption in real-time simulations

2020 ◽  
pp. 1-17
Author(s):  
T. Rogošić ◽  
B. Juričić ◽  
F. Aybek Çetek ◽  
Z. Kaplan
Keyword(s):  
Real Time ◽  
Fuel Consumption ◽  
Basic Training ◽  
Air Traffic Controller ◽  
Training Assessment ◽  
Assessment Scores ◽  
Human In The Loop ◽  
Assessment Standards ◽  
Two Parameters ◽  
Real Time Simulations

ABSTRACT Air traffic controller training is highly regulated but lacks prescribed common assessment criteria and methods to evaluate trainees at the level of basic training and consideration of how trainees in fluence flight efficiency. We investigated whether there is a correlation between two parameters, viz. the trainees’ assessment score and fuel consumption, obtained and calculated after real-time human-in-the-loop radar simulations within the ATCOSIMA project. Although basic training assessment standards emphasise safety indicators, it was expected that trainees with higher assessment scores would achieve better flight efficiency, i.e. less fuel consumption. However, the results showed that trainees’ assessment scores and fuel consumption did not correlate in the expected way, leading to several conclusions.

scholarly journals Modeling of Tractor Fuel Consumption

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2300
Author(s):  
Bronisław Andrzej Kolator
Keyword(s):  
Fuel Consumption ◽  
Soil Conditions ◽  
Simulation Studies ◽  
Working Capacity ◽  
Operational Parameters ◽  
System A ◽  
The Individual ◽  
Adjustment System ◽  
Unit Performance ◽  
Efficiency Indicators

In this paper, the energy diagnostic of tractor performance consists in evaluating the energy (fuel consumption per hectare—dm3 ha−1) for a given agricultural operation and in combining it with working capacity, also called productivity (area productivity—ha h−1). One of the methods of solving this problem is the identification of the functioning process of the machine unit. A model of the process of the machine unit performance was developed, considering the operation of the rear linkage system of the implement with the force control adjustment system. In order to analyze the system, a mathematical model of the system function was built: tractor-implement-soil, defining the physical connections and interdependencies between the individual subsystems of the system. Based on this model, a simulation model was developed and implemented in the Matlab/Simulink environment. The Simulink package was used to test the performance of the machine set. The efficiency indicators according to the adopted criteria were calculated in the evaluation block. To evaluate the process, the technical and operational parameters of the tractor, the type and parameters of the tool, and soil properties were taken into account. The results of simulation studies obtained on a validated model are consistent with experimental data from appropriate soil conditions.

scholarly journals Nonlinear Optimal Control of Continuously Variable Transmission Powertrain

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Reza Kazemi ◽  
Mohsen Raf’at ◽  
Amir Reza noruzi
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Gear Ratio ◽  
Driver Model ◽  
Control Rules ◽  
Fuel Consumption Reduction ◽  
Consumption Reduction ◽  
Variable Transmission ◽  
Ratio Change ◽  
Computational Systems

Optimization of gear ratio with the objectives of fuel consumption reduction and vehicle longitudinal performance improvement has been the subject of many studies for years. Finding a strategy for changing gears with specific control objectives, especially in the design of vehicles equipped with Continuously Variable Transition system (CVT), which has advantage of arbitrary selection of gear ratio, has been the aim of some recent researches. Optimal control theory has rarely been used in the previous control approaches applied to such systems due to the limitations in the use of fast computational systems. The aim of this study is to design the aforementioned gear ratio change strategy and related control rules on the basis of optimal control. A driver model is also designed for the simulation of driving cycle using MATLAB Simulink Toolbar. Results of implementing optimal control rules in vehicle longitudinal movement simulation with the aim of fuel consumption reduction are finally represented. The presented method has the remarkable advantage of considerable fuel consumption reduction in comparison to other proposed approaches for gear ratio change strategies.

QUANTUM CORRELATIONS IN THE "q-DEFORMED" WERNER STATE

2013 ◽  
Vol 11 (02) ◽  
pp. 1350018 ◽  
Author(s):  
BO LIU ◽  
KANG XUE ◽  
GANGCHENG WANG ◽  
CHUNFANG SUN ◽  
LIDAN GOU ◽  
...  
Keyword(s):  
Quantum Discord ◽  
Singlet State ◽  
Great Influence ◽  
Quantum Correlations ◽  
Werner State ◽  
Single Loop ◽  
Geometric Measure ◽  
Topological Parameter ◽  
Spin Singlet ◽  
Two Parameters

We investigate quantum discord of the "q-deformed" Werner state via Yang–Baxterization approach. There are two parameters q and u in this "q-deformed" Werner state. The parameter u, which plays an important role in some typical models, is related to the probability of the "q-deformed" two-qubit spin singlet state in this study. The "q-deformed" parameter q is related to the single loop through d = q + q-1. When topological parameter d approaches 2 (i.e. q → 1), the "q-deformed" Werner state degenerates into the well-known Werner state. The results show that topological parameter d has great influence on quantum correlations of the "q-deformed" Werner state. When we fix the parameter u, the quantum correlations decrease with increasing the single loop d. When d approaches +∞ (i.e. q → 0+ or +∞), quantum discord, geometric measure of quantum discord and entanglement all tend to 0. While d approaches 2 (i.e. q → 1), all of them just have the same results with the Werner state.

Development of a representative operation cycle characterized by dual time series for bulldozers

2017 ◽  
Vol 231 (13) ◽  
pp. 1818-1828 ◽  
Author(s):  
Baodi Zhang ◽  
Xin Zhang ◽  
Lihe Xi ◽  
Chuanyang Sun
Keyword(s):  
Fuel Consumption ◽  
Probability Distributions ◽  
Kinematic Model ◽  
Substantial Effect ◽  
Area Network ◽  
Driving Cycles ◽  
Operating Process ◽  
The Difference ◽  
Operation Cycle ◽  
Two Parameters

Driving cycles have been developed for various types of vehicle by different nations and in different areas, as they have a substantial effect on analysis of the fuel economy and the emissions. As the concern about the fuel consumption and the emissions of engineering machinery increases continuously, it has become necessary to develop corresponding operation cycles for engineering machinery. However, a typical operation cycle for bulldozers and the methods for its development is still lacking. Therefore, a representative operation cycle for bulldozers was developed in this study. By taking advantage of readily available data from the Controller Area Network (CAN), large amounts of cycle experimental data were acquired in a typical bulldozing process. Two parameters, namely the bulldozing resistance and the speed, were employed to represent the operation cycle. The values of these parameters were calculated on the basis of the dynamic model and the kinematic model combined with system identification methods. Experimental cycles were divided into operation segments according to the respective operating processes, and characteristic parameters for the operation segments were chosen and calculated accordingly. The optimal representative operation cycle was finally selected on the basis of the smallest Mahalanobis distance. The fuel consumption and the probability distributions of the representative operation cycle were also compared with the average fuel consumption and probability distributions of all the operation cycles and analysed. The average correlation coefficient of the probability distributions was 0.936, whereas the difference in the fuel consumptions was only 1.786%. This indicates that the developed cycle is indeed appropriate for representing the operating process of the bulldozer.

scholarly journals Optimization of Design and Operational Parameters of a Soil-Dispensing Machine for Preparing Seedling Tray

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Hafidha Azmon ◽  
Mohd Fazly Mail ◽  
Mohd Shukry Hassan Basri ◽  
Norahshekin Abdul Rahman ◽  
Siti Ashah Ab Rahim
Keyword(s):  
Stainless Steel ◽  
Mild Steel ◽  
Low Cost ◽  
High Volume ◽  
Maximum Speed ◽  
P Value ◽  
Operational Parameters ◽  
Filling Process ◽  
Optimization Analysis ◽  
Traditional Practice

The conventional method of soil filling into nursery trays before seeding is known to be the most inexpensive approach prior to planting vegetables. However, this activity is very labourious and time-consuming if the operation is meant for high volume seeding. This study is done to develop soil-dispensing machine, evaluate its performance and to compare with traditional practice of soil filling into the nursery tray. The optimization of each parameter is also evaluated to obtain the exact volume of soil to fill the nursery tray to the fullest. A low-cost soil dispensing machine is developed in MARDI and it is using locally materials available in the market. The structure of the machine is fabricated using mild-steel and stainless-steel at the less cost. The machine consists of a conveyor, nursery tray holder, soil dispenser, scrapper, soil compactor, wiper motors, gears, microcontroller and sensors. There are three factors with two levels involve in this test; hopper angle, conveyor speed and auger speed. The hopper angles are evaluated at 45° and 65° while conveyor speeds are tested at 19 cm/s and 21 cm/s. The minimum and maximum speed of auger selected is 3.5 cm/s and 4.5 cm/s, respectively. Manual filling of soil into seedling tray was compared with filling soil using semi-automatic operated soil-dispenser. The results indicated that the model is significant with p-value <0.0001. Conveyor speed, auger speed and hopper angle were significant on the volume of soil dispensed with both speeds shows a p-value <0.0001, while hopper angle shows p-value equal to 0.00112. The combination of both speeds greatly affected the response with p-value <0.0001. There is no interaction between each speed and the hopper angle. From the optimization analysis, the operating conveyor speed, auger speed and angle of hopper should be set at 19.0 cm/s, 4.5 cm/s and 65° to discharge 2912 cm3 soil. In order to dispense 1190 cm3 of soil, conveyor speed, auger speed and hopper angle should be set at 21 cm/s, 4.3 cm/s and 50°. The result indicated that the machine can complete the seeding and soil filling process within 1 min per tray, while manual process took five minutes to complete the whole seeding process.

Minimum Fuel Consumption and CO Emission and Optimum Speed of the Motorcycle With a CVT

2001 ◽  
Author(s):  
Yuan Mao Huang ◽  
Bi Shyang Hu
Keyword(s):  
Fuel Consumption ◽  
Simulated Annealing Algorithm ◽  
Gear Ratio ◽  
Design Parameters ◽  
Speed Ratio ◽  
Optimum Speed ◽  
Product Method ◽  
Ratio Change ◽  
Annealing Algorithm ◽  
Co Emission

Abstract The simulated annealing algorithm with the Bessel method for the curve fitting and the tensor product method for the surface fitting was used to transform the discrete experimental data into the form that the method of optimization can use these data directly. The rotational speeds of an engine starting the movement and corresponding the optimum speed of a motorcycle, minimum speed ratio of a CVT, optimum tooth numbers of gears and the gear ratio for the specific engine data were obtained. The rotational speeds of an engine corresponding the beginning and ending of the CVT speed ratio change, the minimum fuel consumption and the CO emission, the optimum design parameters can be determined. The results of the design parameters can be recommended for the CVT with the specific engine.

Sign in / Sign up

Export Citation Format

Share Document