Study the effect of tool geometry and operational conditions on mouldboard plough forces and energy requirement: Part 2. Experimental validation with soil bin test

2015 ◽  
Vol 117 ◽  
pp. 268-275 ◽  
Author(s):  
A. Ibrahmi ◽  
H. Bentaher ◽  
E. Hamza ◽  
A. Maalej ◽  
A.M. Mouazen
Keyword(s):  
Experimental Validation ◽  
Energy Requirement ◽  
Tool Geometry ◽  
Operational Conditions ◽  
Mouldboard Plough ◽  
Soil Bin

Operation of a CCHP System Using an Optimal Energy Dispatch Algorithm

2008 ◽  
Author(s):  
Heejin Cho ◽  
Sandra D. Eksioglu ◽  
Rogelio Luck ◽  
Louay M. Chamra
Keyword(s):  
Energy Efficiency ◽  
Energy Cost ◽  
Network Flow ◽  
Flow Model ◽  
Energy Requirement ◽  
Optimal Operation ◽  
Operational Conditions ◽  
Optimal Energy ◽  
Network Flow Model ◽  
The Cost

The Combined Cooling, Heating, and Power (CCHP) systems have been widely recognized as a key alternative for thermal and electric energy generation because of the outstanding energy efficiency, reduced environmental emissions, and relative independence from centralized power grids. Nevertheless, the total energy cost of CCHP systems can be highly dependent on the operation of individual components and load balancing. The latter refers to the process of fulfilling the thermal and electrical demand by partitioning or “balancing” the energy requirement between the available sources of energy supply. The energy cost can be optimized through an energy dispatch algorithm which provides operational/control signals for the optimal operation of the equipment. The algorithm provides optimal solutions on decisions regarding generating power locally or buying power from the grid. This paper presents an initial study on developing an optimal energy dispatch algorithm that minimizes the cost of energy (i.e., cost of electricity from the grid and cost of natural gas into the engine and boiler) based on energy efficiency constrains for each component. A deterministic network flow model of a typical CCHP system is developed as part of the algorithm. The advantage of using a network flow model is that the power flows and efficiency constraints throughout the CCHP components can be readily visualized to facilitate the interpretation of the results. A linear programming formulation of the network flow model is presented. In the algorithm, the inputs include the cost of the electricity and fuel and the constraints include the cooling, heating, and electric load demands and the efficiencies of the CCHP components. This algorithm has been used in simulations of several case studies on the operation of an existing micro-CHP system. Several scenarios with different operational conditions are presented in the paper to demonstrate the economical advantages resulting from optimal operation.

Volume/shear work ratio influence on wear and stress of soil chisel tine modelled by DEM

2021 ◽  
pp. 135065012110582
Author(s):  
Egidijus Katinas ◽  
Rostilav Choteborsky
Keyword(s):  
High Stress ◽  
Wear Intensity ◽  
Tool Geometry ◽  
Soil Conditions ◽  
Agricultural Equipment ◽  
Wear Analysis ◽  
Preparation Period ◽  
Soil Preparation ◽  
Soil Bin ◽  
Very High

Agricultural equipment is working in very high-stress conditions. However, it has a significant influence on the wear losses of soil processing parts. Chisel is operating at 30 cm working depth at a maximum of 12 km·h−1 working speed. Due to unpredictable soil conditions, chisel tines suffer high wear losses. It leads to time consumption and cost expenses during the soil preparation period. Wear resistance, and agronomical requirements (working depth, loosening of soil) are the main criteria of agricultural equipment producers. The discrete element method is a solution that simulates soil as sphere shape particles with soil properties. Wear results reveal the change of parts shape, acting forces, and stresses during the simulation in the virtual soil bin. The used Rocky DEM software uses a parameter C (volume/shear work ratio) to describe wear intensity, which varies for different geometry. Chisel tine geometry should be divided into sections with varied parameter C according to stress acting on the surface. The test conditions can be used for future wear analysis of varied tool geometry and protection (sintered tungsten carbide plates, hard-faced surface, etc.) agricultural tools to compare its durability in different soil conditions.

Analytical Prediction of the Chip Back-Flow Angle in Machining With Restricted Contact Grooved Tools

2003 ◽  
Vol 125 (2) ◽  
pp. 210-219 ◽  
Author(s):  
N. Fang ◽  
I. S. Jawahir
Keyword(s):  
High Speed ◽  
Experimental Validation ◽  
Chip Thickness ◽  
Interfacial Stress ◽  
Tool Geometry ◽  
Analytical Prediction ◽  
Flow Angle ◽  
Back Flow ◽  
Definition Of ◽  
The Given

This paper develops a new analytical model to predict the chip back-flow angle in machining with restricted contact grooved tools. The model is derived from a recently established universal slip-line model for machining with restricted contact cutaway tools. A comprehensive definition of the chip back-flow angle is presented first, and based on this, a quantitative analysis of the chip back-flow effect is established for a given set of cutting conditions, tool geometry, and variable tool-chip interfacial stress state. The model also predicts the cutting forces, the chip thickness, and the chip up-curl radius. A full experimental validation of the analytical predictive model involving the use of high speed filming technique is then presented for the chip back-flow angle. This validation provides a range of feasible/prevalent tool-chip interfacial frictional conditions for the given set of input conditions.

Prediction of Chip Back-Flow Angle in Machining With Restricted Contact Grooved Tools

2000 ◽  
Author(s):  
N. Fang ◽  
I. S. Jawahir
Keyword(s):  
Predictive Model ◽  
High Speed ◽  
Experimental Validation ◽  
Chip Thickness ◽  
Interfacial Stress ◽  
Tool Geometry ◽  
Flow Angle ◽  
Back Flow ◽  
Definition Of ◽  
The Given

Abstract This paper presents a new predictive model for chip back-flow angle in machining with restricted contact grooved tools. This model is derived from the recently established universal slip-line model for machining with restricted contact cut-away tools. A comprehensive definition of the chip back-flow angle is first developed, and based on this, a quantitative analysis of the effect of chip back-flow is presented for the given set of cutting conditions, tool geometry and variable tool-chip interfacial stress state. This model also predicts cutting forces, chip thickness ratio and chip up-curl radius. A full experimental validation of the predictive model involving the use of high speed filming techniques is then presented for chip back-flow angle and this validation provides a range of feasible/prevalent tool-chip interfacial frictional conditions for a given set of input conditions.

Experimental Validation of a Model for the Dynamic Analysis of Gear Pumps

2013 ◽  
Author(s):  
Emiliano Mucchi ◽  
Giorgio Dalpiaz
Keyword(s):  
Experimental Validation ◽  
Gear Pump ◽  
Test Plate ◽  
Operational Conditions ◽  
Experimental Apparatus ◽  
Gear Pumps ◽  
Force Components ◽  
Set Up ◽  
The Time Domain ◽  
External Gear Pump

This paper concerns the experimental validation of an elastodynamic model of an external gear pump for steering systems in vehicles. The elastodynamic model takes into account the most important phenomena involved in the operation of this kind of machines. Two main sources of noise and vibration can be considered: pressure and gear meshing. An experimental apparatus has been set up for the measurements of the case accelerations and force components in operational conditions. The model was validated by comparison between simulations and experimental results concerning forces and moments: it deals with the external and inertia components acting on the gears, estimated by the model, and the reactions and inertia components on the pump case and the test plate, obtained by measurements. The validation is carried out comparing the level of the time synchronous average in the time domain and the waterfall maps in the frequency domain, with particular attention to identify system resonances. The validation results are globally satisfactory.

Prediction of Energy Requirement of a Tillage Tool in a Soil Bin using Artificial Neural Network

2011 ◽  
Author(s):  
Anisur Rahman ◽  
Radhey Lal Kushwaha ◽  
Seyeed Reza Ashrafizadeh ◽  
Satyanarayan Panigrahi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Energy Requirement ◽  
Artificial Neural ◽  
Soil Bin

scholarly journals Structural Health Monitoring in Changing Operational Conditions Using Tranmissibility Measurements

2010 ◽  
Vol 17 (4-5) ◽  
pp. 651-675 ◽  
Author(s):  
Christof Devriendt ◽  
Flavio Presezniak ◽  
Gert De Sitter ◽  
Katy Vanbrabant ◽  
Tim De Troyer ◽  
...  
Keyword(s):  
Damage Detection ◽  
Experimental Validation ◽  
Detection Method ◽  
Early Stage ◽  
Specific Property ◽  
Small Frequency ◽  
Operational Conditions ◽  
Resonance Frequencies ◽  
Single Input ◽  
Simple Ratio

This article uses frequency domain transmissibility functions for detecting and locating damage in operational conditions. In recent articles numerical and experimental examples were presented and the possibility to use the transmissibility concept for damage detection seemed quite promising. In the work discussed so far, it was assumed that the operational conditions were constant, the structure was excited by a single input in a fixed location. Transmissibility functions, defined as a simple ratio between two measured responses, do depend on the amplitudes or locations of the operational forces. The current techniques fail in the case of changing operational conditions. A suitable operational damage detection method should however be able to detect damage in a very early stage even in the case of changing operational conditions. It will be demonstrated in this paper that, by using only a small frequency band around the resonance frequencies of the structure, the existing methods can still be used in a more robust way. The idea is based on the specific property that the transmissibility functions become independent of the loading condition in the system poles. A numerical and experimental validation will be given.

Friction Surfacing Deposition by Consumable Tools

2021 ◽  
pp. 1-46
Author(s):  
Ebrahim Seidi ◽  
Scott Miller ◽  
Blair Carlson
Keyword(s):  
Energy Requirement ◽  
Scale Up ◽  
Dissimilar Materials ◽  
Process Variations ◽  
Microstructural Characterization ◽  
Solid Substrate ◽  
Tool Geometry ◽  
Material Transfer ◽  
Friction Stir ◽  
Friction Surfacing

Abstract Friction surfacing is a new variation of friction stir processing for surface property modification of metallic substrates. There is an increasing body of literature about friction surfacing by deposition of metal from a consumable tool to a solid substrate. Friction surfacing has many potential applications in joining, coating for corrosion resistance, and repair of degraded components. This paper presents a review of the basic principles, the latest research, and process variations with emphasis on material properties, microstructural characterization, and effects of process parameters such as axial force, rotational speed, travel speed, material transfer rate, energy requirement, and tool geometry. Different friction surfacing processes are reviewed of novel tool/substrate configurations for material deposition for non-coating purposes like keyhole filling and joining dissimilar materials. Possible future topics of study for this area are discussed, which include deeper understanding of material transfer through metallurgy and FEM and scale up of the technique for practical application.

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